ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. While our product provides infrastructure for AI development, your focus will be on creating robust internal systems that amplify the productivity, collaboration, and quality of work across all engineering teams by providing exceptional tooling, efficient workflows, and robust development environments.
If you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten.
RESPONSIBILITIES
Create diverse tooling tailored to the needs of different engineering teams.
Enhance monorepo capabilities and develop project templates for consistency and efficiency.
Design and implement shared libraries focused on observability.
Improve the speed, reliability, and comprehensiveness of our CI pipelines.
Assist in designing and maintaining Terraform modules for infrastructure management.
Provide innovative solutions to enhance visibility in continuous delivery (CD) processes.
Actively support engineering teams, ensuring they have the resources and tools necessary to remain productive.
REQUIREMENTS
Strong-level proficiency in Go and/or Python.
Experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).
Experience managing and working with large monorepos. Bonus points for familiarity with tools such as Bazel, Pants, Moon, Turborepo, etc.
Advanced understanding of CI/CD concepts.
Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an early member of Baseten's Platform Team, you will be pivotal in building internal infrastructure to support our engineering organization. While our product provides infrastructure for AI development, your focus will be on creating robust internal systems that amplify the productivity, collaboration, and quality of work across all engineering teams by providing exceptional tooling, efficient workflows, and robust development environments.\n\nIf you are passionate about elegant solutions—like streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries—you'll thrive at Baseten.\n\n\n\nRESPONSIBILITIES\n\n - Create diverse tooling tailored to the needs of different engineering teams.\n\n - Enhance monorepo capabilities and develop project templates for consistency and efficiency.\n\n - Design and implement shared libraries focused on observability.\n\n - Improve the speed, reliability, and comprehensiveness of our CI pipelines.\n\n - Assist in designing and maintaining Terraform modules for infrastructure management.\n\n - Provide innovative solutions to enhance visibility in continuous delivery (CD) processes.\n\n - Actively support engineering teams, ensuring they have the resources and tools necessary to remain productive.\n\n\n\nREQUIREMENTS\n\n - Strong-level proficiency in Go and/or Python.\n\n - Experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).\n\n - Experience managing and working with large monorepos. Bonus points for familiarity with tools such as Bazel, Pants, Moon, Turborepo, etc.\n\n - Advanced understanding of CI/CD concepts.\n\n - Excellent developer tool culture with a focus on best practices. Bonus points if you have personally developed open-source developer tools.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"0870ed34-7365-4b9f-a50a-481783b8c266","title":"Engineering Manager, Cloud Platform","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-09T18:23:27.319+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/0870ed34-7365-4b9f-a50a-481783b8c266","applyUrl":"https://jobs.ashbyhq.com/baseten/0870ed34-7365-4b9f-a50a-481783b8c266/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response.
You are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.
RESPONSIBILITIES
Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.
Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work.
Foster a culture of ownership, accountability, and continuous improvement.
Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them.
Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production.
Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.
Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership.
Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.
REQUIREMENTS
Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers).
Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews.
Strong background building and maintaining scalable, production infrastructure.
Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).
Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same.
Strong written and verbal communication skills; able to influence across teams without direct authority.
Track record of recruiting and growing engineering talent.
Openness to learning about ML infrastructure; prior machine learning experience is not required.
NICE TO HAVE
Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry).
Background in multi-cloud environments or GPU infrastructure.
Experience building and managing on-call rotations and incident response processes.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs the Engineering Manager for Baseten's Cloud Platform team, you will directly manage a team of cloud platform engineers responsible for building the systems and processes that keep our infrastructure scalable, reliable, and efficient — from automated deployments and monitoring to performance optimization and incident response.\n\nYou are a people-first leader with a strong cloud infrastructure background. You set a high bar for reliability and operational excellence, engage credibly in technical discussions and code reviews, and know how to build a culture of ownership and accountability. You'll spend most of your time close to the work: unblocking your team, shaping technical direction on day-to-day decisions, and developing your engineers. At Baseten, we work closely with our users to understand their struggles operationalizing ML — you'll keep your team connected to that mission and translate user learnings into better infrastructure.\n\n \n\nRESPONSIBILITIES\n\n - Recruit, hire, and grow a high-performing team of cloud platform engineers; provide ongoing coaching, feedback, and career development through regular 1:1s.\n\n - Set clear performance expectations, hold a high bar, and create an environment where engineers do their best work.\n\n - Foster a culture of ownership, accountability, and continuous improvement.\n\n - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions; translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them.\n\n - Establish standards and best practices for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from specification through production.\n\n - Exercise and encourage good judgment on tooling and architectural tradeoffs, with a bias against unnecessary complexity.\n\n - Partner with product and engineering teams to align infrastructure work with business priorities; represent your team's progress, capacity, and technical tradeoffs clearly to leadership.\n\n - Serve as the escalation point for major incidents; drive resolution with urgency, ensure the team learns systematically, and stay connected to users so those learnings feed back into infrastructure improvements.\n\n \n\nREQUIREMENTS\n\n - Proven experience directly managing engineers in a cloud infrastructure, platform engineering, or SRE context (not managing managers).\n\n - Extensive hands-on experience with Kubernetes, with the ability to engage credibly in architectural discussions and code reviews.\n\n - Strong background building and maintaining scalable, production infrastructure.\n\n - Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, CircleCI, Jenkins).\n\n - Demonstrated ability to drive projects end-to-end — from specification to execution — and coach your team to do the same.\n\n - Strong written and verbal communication skills; able to influence across teams without direct authority.\n\n - Track record of recruiting and growing engineering talent.\n\n - Openness to learning about ML infrastructure; prior machine learning experience is not required.\n\n \n\nNICE TO HAVE\n\n - Experience with OSS observability tooling (Prometheus, ELK stack, Grafana, OpenTelemetry).\n\n - Background in multi-cloud environments or GPU infrastructure.\n\n - Experience building and managing on-call rotations and incident response processes.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"0cf1410f-39ca-47b5-9fc3-8e75bd9c1e0e","title":"Assistant General Counsel, Infrastructure & Compute","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-02T21:44:41.553+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/0cf1410f-39ca-47b5-9fc3-8e75bd9c1e0e","applyUrl":"https://jobs.ashbyhq.com/baseten/0cf1410f-39ca-47b5-9fc3-8e75bd9c1e0e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Compute is existential for Baseten. As AI inference infrastructure, our ability to serve customer traffic depends on a sophisticated, multi-layered compute and infrastructure supply chain. We're hiring an Assistant General Counsel, Infra & Compute to own the legal strategy and execution behind it.
This role owns the inbound, supply-side deal surface: compute and infrastructure-services agreements, capacity commitments, and the contracting that keeps production online. These are early structural decisions with long-term consequences — flexibility, exit optionality, and SLA enforceability all get set here. You'll partner closely with our Commercial and other legal leads — working hand in glove and all hands on deck on customer and Sales deals — and may support Partnerships and the strategic relationships behind Model Labs / Frontier Gateways and other key initiatives. Your center of gravity is the compute and infrastructure supply chain; that work comes first even as you flex onto deal support and other initiatives.
RESPONSIBILITIES
Own and lead negotiations for GPU compute, cloud capacity, and infrastructure-services agreements across Baseten's multi-provider stack, building flexibility, exit optionality, and enforceable SLAs in before they're needed
Lead colocation, power, datacenter, and network contracting, including the operational and resilience terms that keep production sites online
Map concentration risk and long-lead dependencies across the vendor portfolio and identify where structural changes unlock flexibility — partnering with Finance on sizing and minimum-commitment terms and with Security on datacenter access and regulated-infrastructure requirements
Manage the legal dimensions of strategic infrastructure and hardware relationships, including arrangements where a counterparty plays more than one role
Apply export and trade-control flow-downs (e.g., end-use / end-user terms) in compute and hardware agreements, under the policy and screening framework owned by AI, Privacy & Governance
Build the template library, SLA-credit playbooks, and intake workflows so Procurement and Infra teams can self-serve standard transactions at scale
May assist on other related transactions involving the financing and procurement of compute and capacity
May support the partnership and strategic-relationship workstreams behind Model Labs / Frontier Gateways and other key initiatives
May assist on M&A, vendor-integration, and other strategic or one-off transactions, including diligence on inherited infrastructure agreements and continuity of critical supply post-close
Pitch in on customer and Sales deals alongside the broader legal team, and escalate novel terms that create downstream risk to availability or operational flexibility
REQUIREMENTS
JD and active bar membership in good standing
8+ years of technology-transactions experience with meaningful buy-side exposure to compute, cloud, hardware supply chain, datacenter, colocation, or critical-infrastructure contracting
Fluency in availability and SLA constructs, capacity and route diversity, and how compute, colo, power, and network terms interact
Experience with high-volume, template-driven vendor contracting and the discipline to keep it fast without losing control of risk
Strong judgment about when vendor terms create downstream risk for availability, cost, or operational flexibility, and how to direct specialized outside counsel
Commercially grounded communicator who can translate infrastructure concepts into clear risk calls and partner deeply with Engineering, Infra, and Finance
The ability to learn, build, and master AI tooling and systems to self-serve and operate at breakneck speed
A desire to become a recognized thought leader in your field
NICE TO HAVE
In-house experience at a cloud provider, neocloud, hyperscaler, datacenter operator, or hardware / semiconductor company
Direct experience with GPU / hardware supply agreements, bare-metal procurement, or large compute-capacity commitments
Experience with hyperscaler strategic agreements and the competitive dynamics of supplier-competitors
Familiarity with M&A integration and inherited-vendor continuity
Experience at an AI, ML, or developer-infrastructure company
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nCompute is existential for Baseten. As AI inference infrastructure, our ability to serve customer traffic depends on a sophisticated, multi-layered compute and infrastructure supply chain. We're hiring an Assistant General Counsel, Infra & Compute to own the legal strategy and execution behind it.\n\n\n\nThis role owns the inbound, supply-side deal surface: compute and infrastructure-services agreements, capacity commitments, and the contracting that keeps production online. These are early structural decisions with long-term consequences — flexibility, exit optionality, and SLA enforceability all get set here. You'll partner closely with our Commercial and other legal leads — working hand in glove and all hands on deck on customer and Sales deals — and may support Partnerships and the strategic relationships behind Model Labs / Frontier Gateways and other key initiatives. Your center of gravity is the compute and infrastructure supply chain; that work comes first even as you flex onto deal support and other initiatives.\n\n\n\nRESPONSIBILITIES\n\n - Own and lead negotiations for GPU compute, cloud capacity, and infrastructure-services agreements across Baseten's multi-provider stack, building flexibility, exit optionality, and enforceable SLAs in before they're needed\n\n - Lead colocation, power, datacenter, and network contracting, including the operational and resilience terms that keep production sites online\n\n - Map concentration risk and long-lead dependencies across the vendor portfolio and identify where structural changes unlock flexibility — partnering with Finance on sizing and minimum-commitment terms and with Security on datacenter access and regulated-infrastructure requirements\n\n - Manage the legal dimensions of strategic infrastructure and hardware relationships, including arrangements where a counterparty plays more than one role\n\n - Apply export and trade-control flow-downs (e.g., end-use / end-user terms) in compute and hardware agreements, under the policy and screening framework owned by AI, Privacy & Governance\n\n - Build the template library, SLA-credit playbooks, and intake workflows so Procurement and Infra teams can self-serve standard transactions at scale\n\n - May assist on other related transactions involving the financing and procurement of compute and capacity\n\n - May support the partnership and strategic-relationship workstreams behind Model Labs / Frontier Gateways and other key initiatives\n\n - May assist on M&A, vendor-integration, and other strategic or one-off transactions, including diligence on inherited infrastructure agreements and continuity of critical supply post-close\n\n - Pitch in on customer and Sales deals alongside the broader legal team, and escalate novel terms that create downstream risk to availability or operational flexibility\n \n \n\nREQUIREMENTS\n\n - JD and active bar membership in good standing\n\n - 8+ years of technology-transactions experience with meaningful buy-side exposure to compute, cloud, hardware supply chain, datacenter, colocation, or critical-infrastructure contracting\n\n - Fluency in availability and SLA constructs, capacity and route diversity, and how compute, colo, power, and network terms interact\n\n - Experience with high-volume, template-driven vendor contracting and the discipline to keep it fast without losing control of risk\n\n - Strong judgment about when vendor terms create downstream risk for availability, cost, or operational flexibility, and how to direct specialized outside counsel\n\n - Commercially grounded communicator who can translate infrastructure concepts into clear risk calls and partner deeply with Engineering, Infra, and Finance\n\n - The ability to learn, build, and master AI tooling and systems to self-serve and operate at breakneck speed\n\n - A desire to become a recognized thought leader in your field\n \n \n\nNICE TO HAVE\n\n - In-house experience at a cloud provider, neocloud, hyperscaler, datacenter operator, or hardware / semiconductor company\n\n - Direct experience with GPU / hardware supply agreements, bare-metal procurement, or large compute-capacity commitments\n\n - Experience with hyperscaler strategic agreements and the competitive dynamics of supplier-competitors\n\n - Familiarity with M&A integration and inherited-vendor continuity\n\n - Experience at an AI, ML, or developer-infrastructure company\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"0d1f68d4-ee6c-4b5f-9ef9-21a2dabbc152","title":"Account Executive - AI Native: Strategic","department":"GTM","team":"Strategic","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-04-07T18:41:33.018+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/0d1f68d4-ee6c-4b5f-9ef9-21a2dabbc152","applyUrl":"https://jobs.ashbyhq.com/baseten/0d1f68d4-ee6c-4b5f-9ef9-21a2dabbc152/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.
RESPONSIBILITIES
Help build the foundation and processes for customer-facing teams at Baseten
Lead, negotiate, and execute new sales opportunities for Baseten
In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets
Establish and maintain relationships with key stakeholders within sales accounts
Work cross-functionally to improve the customer experience and ensure sales effectiveness
REQUIREMENTS
5+ years of sales experience in a SaaS business
Experience in selling to technical audiences
Experience with developer/machine-learning tooling preferred, but not required
Proven ability to close complex sales cycles
Proficiency with sales and marketing automation tools
Interest in working at an early-stage, fast-paced startup
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.\n\n\n\nRESPONSIBILITIES\n\n - Help build the foundation and processes for customer-facing teams at Baseten\n\n - Lead, negotiate, and execute new sales opportunities for Baseten\n\n - In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets\n\n - Establish and maintain relationships with key stakeholders within sales accounts\n\n - Work cross-functionally to improve the customer experience and ensure sales effectiveness\n\n\n\nREQUIREMENTS\n\n - 5+ years of sales experience in a SaaS business\n\n - Experience in selling to technical audiences\n\n - Experience with developer/machine-learning tooling preferred, but not required\n\n - Proven ability to close complex sales cycles\n\n - Proficiency with sales and marketing automation tools\n\n - Interest in working at an early-stage, fast-paced startup\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1261fe76-f577-4b3d-aac8-df65846ae445","title":"Account Executive - AI Native: Startups","department":"GTM","team":"Startups","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-03-19T23:14:05.012+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1261fe76-f577-4b3d-aac8-df65846ae445","applyUrl":"https://jobs.ashbyhq.com/baseten/1261fe76-f577-4b3d-aac8-df65846ae445/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.
RESPONSIBILITIES
Help build the foundation and processes for customer-facing teams at Baseten
Lead, negotiate, and execute new sales opportunities for Baseten
In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets
Establish and maintain relationships with key stakeholders within sales accounts
Work cross-functionally to improve the customer experience and ensure sales effectiveness
REQUIREMENTS
1-3 years of sales experience in a SaaS business
Experience in selling to technical audiences
Experience with developer/machine-learning tooling preferred, but not required
Proven ability to close complex sales cycles
Proficiency with sales and marketing automation tools
Interest in working at an early-stage, fast-paced startup
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.\n\n\n\nRESPONSIBILITIES\n\n - Help build the foundation and processes for customer-facing teams at Baseten\n\n - Lead, negotiate, and execute new sales opportunities for Baseten\n\n - In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets\n\n - Establish and maintain relationships with key stakeholders within sales accounts\n\n - Work cross-functionally to improve the customer experience and ensure sales effectiveness\n\n\n\nREQUIREMENTS\n\n - 1-3 years of sales experience in a SaaS business\n\n - Experience in selling to technical audiences\n\n - Experience with developer/machine-learning tooling preferred, but not required\n\n - Proven ability to close complex sales cycles\n\n - Proficiency with sales and marketing automation tools\n\n - Interest in working at an early-stage, fast-paced startup\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"126d54b4-a7bc-4456-bf4d-5d224e4f5d63","title":"Software Engineer - Training Product","department":"EPD","team":"Training Platform","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-01-22T22:09:05.759+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/126d54b4-a7bc-4456-bf4d-5d224e4f5d63","applyUrl":"https://jobs.ashbyhq.com/baseten/126d54b4-a7bc-4456-bf4d-5d224e4f5d63/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk!
THE PRODUCT
Take a look at what we’ve built so far:
EXAMPLE INITIATIVES
Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic.
Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects.
Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs.
RESPONSIBILITIES
Iterate like crazy
Design ergonomic APIs and abstractions to model complex resources and lifecycles
Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features.
Fine-tune and deploy models to develop intuition around training workflows.
Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows.
Drive long-term improvements to improve reliability of systems and velocity of development
Fix bugs & resolve customer issues with urgency
REQUIREMENTS
5+ years experience building software applications
Deep knowledge of the web stack, databases, and distributed systems
Experience developing developer tooling or infrastructure products for external or internal users.
Good taste in product, particularly developer-oriented tools
Interest in ML/AI infrastructure and willingness to learn
Driven by high agency and ownership
Strong communication skills with the ability to bridge technical depth and business needs
NICE TO HAVE
Experience launching features and products through different release cycles (MVP, Beta, GA, etc.)
Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc.
Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed).
Experience developing AI products, tooling, or agents
Frontend fluency
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re looking for a customer-obsessed software engineer to come ship with us. You’ll own features like multi-node training and products like serverless reinforcement learning (RL) from conception to MVP (and from MVP to GA!). You’ll work through the stack, architecting solutions from API and UI down to our infrastructure layer. You’ll fine tune models yourself to develop an understanding of user workflows. You’ll work closely with research engineers leveraging state-of-the-art training techniques to build experiences that accelerate model development and solve for real pain points. If you’re excited to dive deep into the training, let’s talk!\n\n\n\nTHE PRODUCT\n\nTake a look at what we’ve built so far:\n\n - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga\n\n - Training docs overview https://docs.baseten.co/training/overview\n\n - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/\n\n - Research we've done https://www.baseten.co/resources/research/\n\nEXAMPLE INITIATIVES\n\n - Checkpointing Pipeline: Our checkpointing pipeline starts with automated checkpointing, a feature that ensures that versions of models created during training are automatically backed up to the cloud. Users are able to then deploy checkpoints seamlessly into inference servers, providing point-and-click integrations into inference frameworks like vLLM and Baseten’s Inference Stack. This enables customers to quickly evaluate the performance of their checkpoints with real traffic.\n\n - Multinode training: Multinode training enables customers to easily run training jobs across multiple compute nodes, enabling users to train large models like GLM 4.7 and DeepSeek. We’ve built deeply at the Kubernetes layer to ensure that scheduling, startup, inter-node communication, and shutdown happen seamlessly under the hood and as the user expects.\n\n - Training DX: Customers come to train on Baseten because it helps them get to value fast. To do this, we ensure that the features we ship aren’t just fast, but are easy to iterate with. We enhanced Baseten’s metrics from pod-level GPU summaries to per-GPU and per-Node. We’ve built a CLI experience that caters to terminal users, and UI experiences that enable user to seamlessly manage their training jobs.\n \n \n\nRESPONSIBILITIES\n\n - Iterate like crazy\n\n - Design ergonomic APIs and abstractions to model complex resources and lifecycles\n\n - Work throughout the stack (API layer, backend and database implementation, infra layer; frontend is a plus) to implement features.\n\n - Fine-tune and deploy models to develop intuition around training workflows.\n\n - Partner closely with model developers and world-class research engineers to understand the requirements and pain points of post-training workflows.\n\n - Drive long-term improvements to improve reliability of systems and velocity of development\n\n - Fix bugs & resolve customer issues with urgency\n \n \n\nREQUIREMENTS\n\n - 5+ years experience building software applications\n\n - Deep knowledge of the web stack, databases, and distributed systems\n\n - Experience developing developer tooling or infrastructure products for external or internal users.\n\n - Good taste in product, particularly developer-oriented tools\n\n - Interest in ML/AI infrastructure and willingness to learn\n\n - Driven by high agency and ownership\n\n - Strong communication skills with the ability to bridge technical depth and business needs\n \n \n\nNICE TO HAVE\n\n - Experience launching features and products through different release cycles (MVP, Beta, GA, etc.)\n\n - Experience with model development methods and paradigms, like Supervised Fine-Tuning, Reinforcement Learning, Synthetic Data Generation, LoRA, Full Finetunes, etc.\n\n - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainer) and distributed training techniques (FSDP, DeepSpeed).\n\n - Experience developing AI products, tooling, or agents\n\n - Frontend fluency\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"132295d6-eeb4-4655-9847-a7e9a586d273","title":"Partnerships Product Marketing Manager","department":"GTM","team":"Product Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-23T01:39:03.560+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/132295d6-eeb4-4655-9847-a7e9a586d273","applyUrl":"https://jobs.ashbyhq.com/baseten/132295d6-eeb4-4655-9847-a7e9a586d273/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
ABOUT THE ROLE
We are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of our partner ecosystem. In this role, you will work closely with our partnerships team and with leading technology companies including NVIDIA, Cloud Hyperscalers, Neocloud providers, and emerging ecosystem players, to bring differentiated joint solutions to market.
You will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams.
RESPONSIBILITIES
Partner Storytelling & Content
Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions.
Translate technical integrations into clear, differentiated messaging for both technical and business audiences.
Enablement & Training
Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions.
Create sales playbooks and battlecards tailored to each partner’s ecosystem.
Joint Go-to-Market Campaigns
Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities.
Manage partner marketing calendars and ensure alignment with key product milestones.
Cross-Functional Collaboration
Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives.
Serve as the marketing point-of-contact for the partnerships team.
QUALIFICATIONS
6-10 years of experience in product marketing, partner marketing, or related roles in B2B technology.
Experience with NVIDIA technology and ecosystem or Cloud Providers technology
Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus.
Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats.
Strong program management skills with the ability to handle multiple partners and campaigns simultaneously.
Technical curiosity and ability to quickly learn new technologies and ecosystems.
Comfortable working in a fast-paced, high-growth environment.
PREFERRED SKILLS
Familiarity with developer ecosystems, APIs, and modern software development practices.
Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nABOUT THE ROLE\n\nWe are seeking a strategic and creative Partnerships Product Marketing Manager to drive the success of our partner ecosystem. In this role, you will work closely with our partnerships team and with leading technology companies including NVIDIA, Cloud Hyperscalers, Neocloud providers, and emerging ecosystem players, to bring differentiated joint solutions to market.\n\nYou will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams.\n\n\n\nRESPONSIBILITIES\n\n - Partner Storytelling & Content\n \n - Develop compelling blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions.\n \n - Translate technical integrations into clear, differentiated messaging for both technical and business audiences.\n\n - Enablement & Training\n \n - Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions.\n \n - Create sales playbooks and battlecards tailored to each partner’s ecosystem.\n\n - Joint Go-to-Market Campaigns\n \n - Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities.\n \n - Manage partner marketing calendars and ensure alignment with key product milestones.\n\n - Cross-Functional Collaboration\n \n - Work closely with product marketing, product management, DevRel, and growth marketing, events and sales to align messaging and GTM initiatives.\n \n - Serve as the marketing point-of-contact for the partnerships team.\n\n\n\nQUALIFICATIONS\n\n - 6-10 years of experience in product marketing, partner marketing, or related roles in B2B technology.\n\n - Experience with NVIDIA technology and ecosystem or Cloud Providers technology\n\n - Track record of working with cloud providers, ISVs, or hardware partners in joint go-to-market programs is a plus.\n\n - Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats.\n\n - Strong program management skills with the ability to handle multiple partners and campaigns simultaneously.\n\n - Technical curiosity and ability to quickly learn new technologies and ecosystems.\n\n - Comfortable working in a fast-paced, high-growth environment.\n\nPREFERRED SKILLS\n\n - Familiarity with developer ecosystems, APIs, and modern software development practices.\n\n - Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1532aa00-5a93-4967-bb24-6561495d9605","title":"Manager, Solutions Architect","department":"EPD","team":"Forward Deployed Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-08T22:08:54.356+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1532aa00-5a93-4967-bb24-6561495d9605","applyUrl":"https://jobs.ashbyhq.com/baseten/1532aa00-5a93-4967-bb24-6561495d9605/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POC’s through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform.
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
Leadership
Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.
Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.
Team Management - Lead a team of Solution Architects who will:
Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
Driving consistent “playbook” style deployments for common models and use cases.
Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them
Drive POC and project execution, including:
Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
Acting as the “ringleader” or project manager for POCs.
Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS:
AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.
Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
Technical depth to scope solutions, without needing to write production code.
Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE:
Experience running or supporting benchmarks for ML inference deployments.
Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
Professional Software engineering experience
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs Manager (Player & Coach) of the Solution Architect team, you will lead and mentor a team of Solution Architects who will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of owning discovery calls, demos, technical scoping and driving POC’s through to execution as well as designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform.\n\n\n\nYou will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.\n\n\n\nEXAMPLE INITIATIVES\n\nTake a look at these blog posts written by members of our Forward Deployed Engineering team:\n\n - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/\n\n - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/\n\n - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/\n\n - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/\n \n \n\nRESPONSIBILITIES\n\nLeadership\n\n - Lead, mentor, and grow a team of Solution Architects, providing guidance on technical direction, project execution, and professional development.\n\n - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.\n\n - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.\n\n - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.\n\nTeam Management - Lead a team of Solution Architects who will:\n\n - Partner with sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).\n\n - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.\n\n - Own benchmarking and repeatable deployments, including handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.\n\n - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.\n\n - Driving consistent “playbook” style deployments for common models and use cases.\n\n - Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them\n\n - Drive POC and project execution, including:\n\n - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.\n\n - Acting as the “ringleader” or project manager for POCs.\n\n - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.\n \n \n\nREQUIREMENTS:\n\n - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.\n\n - 4+ years of professional Solution Architecture/Solutions Engineering experience, including 1+ year in a leadership or mentorship capacity.\n\n - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.\n\n - Technical depth to scope solutions, without needing to write production code.\n\n - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.\n \n \n\nNICE TO HAVE:\n\n - Experience running or supporting benchmarks for ML inference deployments.\n\n - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).\n\n - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.\n\n - Professional Software engineering experience\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1b6fc00e-f3fa-440b-9e4e-3013f7a5010e","title":"Engineering Manager - Forward Deployed Engineering (LLM)","department":"EPD","team":"Forward Deployed Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-05-08T23:27:28.526+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1b6fc00e-f3fa-440b-9e4e-3013f7a5010e","applyUrl":"https://jobs.ashbyhq.com/baseten/1b6fc00e-f3fa-440b-9e4e-3013f7a5010e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements.
You will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
Leadership & Team Management
Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional development.
Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.
Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.
Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.
Technical Ownership
Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
REQUIREMENTS
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field.
4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity.
Strong programming skills in Python, with production experience in building or optimizing ML inference systems.
Proven experience with LLMs, inference optimization, or serving frameworks (e.g., vLLM, TensorRT, Triton, Hugging Face, Ray Serve).
Familiarity with observability, profiling, and cost/performance tradeoffs in production ML systems.
Excellent communication and collaboration skills—able to lead cross-functional efforts and drive outcomes in ambiguous, fast-paced environments.
BONUS POINTS
Experience leading customer-facing engineering teams or working directly with enterprise partners.
Deep understanding of GPU infrastructure, distributed inference, or model compression techniques.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Engineering Manager (Player & Coach), you will lead and mentor a team of Forward Deployed Engineers focused on building, scaling, and optimizing LLM inference workloads for Baseten customers. Applying both hands-on technical ownership and managerial leadership, you will guide your team through the processes of designing, deploying, and managing high performance, low latency AI applications on Baseten’s platform. FDE at baseten is not a sales function – we are a mix of engineering, product, and customer architects who contribute to the core Baseten codebase, drive large portions of our feature roadmap, and execute on complicated customer engagements.\n\nYou will also partner with product, infrastructure, and other customer engineering teams to ensure that large language models (LLMs) and other generative AI systems deliver best-in-class performance, reliability, and cost efficiency in production environments.\n\nEXAMPLE INITIATIVES\n\nTake a look at these blog posts written by members of our Forward Deployed Engineering team:\n\n - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/\n\n - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/\n\n - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/\n\n - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/\n \n \n\nRESPONSIBILITIES\n\nLeadership & Team Management\n\n - Lead, mentor, and grow a team of Forward Deployed Engineers, providing guidance on technical direction, project execution, and professional development.\n\n - Set clear goals and ensure timely, high-quality delivery across multiple customer-facing projects involving LLM deployment and inference optimization.\n\n - Collaborate with leadership to align team priorities with company and customer goals, balancing short-term delivery, widely varying customer priorities, and long-term technical initiatives.\n\n - Player-coach – While much of this role will be leading the team, you will also be expected to be a key driver on strategic product initiatives and customer engagements. The best managers derive credibility from being able to be hands-on when needed.\n\nTechnical Ownership\n\n - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.\n\n - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.\n\n - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers\n\n - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.\n\n - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.\n\n\n\nREQUIREMENTS\n\n - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or related field.\n\n - 4+ years of professional software engineering experience, including 1+ year in a leadership or mentorship capacity.\n\n - Strong programming skills in Python, with production experience in building or optimizing ML inference systems.\n\n - Proven experience with LLMs, inference optimization, or serving frameworks (e.g., vLLM, TensorRT, Triton, Hugging Face, Ray Serve).\n\n - Familiarity with observability, profiling, and cost/performance tradeoffs in production ML systems.\n\n - Excellent communication and collaboration skills—able to lead cross-functional efforts and drive outcomes in ambiguous, fast-paced environments.\n \n\nBONUS POINTS\n\n - Experience leading customer-facing engineering teams or working directly with enterprise partners.\n\n - Deep understanding of GPU infrastructure, distributed inference, or model compression techniques.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1c9b9d23-a1b3-426a-9a88-000be4679960","title":"Manager, Cloud Platform & Site Reliability","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-05-17T21:22:07.391+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1c9b9d23-a1b3-426a-9a88-000be4679960","applyUrl":"https://jobs.ashbyhq.com/baseten/1c9b9d23-a1b3-426a-9a88-000be4679960/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As Senior Manager of Cloud Platform and Site Reliability, you will lead and grow the org responsible for the infrastructure that powers Baseten's machine learning platform. This is a manager-of-managers role: you will lead team leads across our Cloud Platform and Site Reliability Engineering functions, setting the technical direction, defining reliability standards, and building the organizational muscle to scale our infrastructure alongside the product.
You will own the end-to-end health of our cloud infrastructure and SRE practice — from coaching your leads through complex incident response and enterprise customer escalations, to shaping the multi-year roadmap for multi-cloud capacity, GPU inference infrastructure, and observability platforms. You operate at the intersection of people, strategy, and systems: you know how to build and develop strong teams, hold a high bar for engineering excellence, and make principled tradeoffs between long-term investment and short-term operational demands.
This role requires someone who can zoom out to set org-level direction while remaining technically credible enough to engage meaningfully in architectural decisions across Kubernetes, multi-cloud infrastructure, and reliability engineering.
RESPONSIBILITIES
Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering orgs, building a culture of ownership, technical excellence, and continuous improvement.
Set the technical direction and roadmap for infrastructure, reliability, and platform engineering at the org level — balancing near-term operational needs with long-term strategic investments.
Own the reliability posture of the platform end-to-end, establishing and enforcing org-wide standards for SLOs/SLIs, incident response, observability-as-code, runbooks, and post-incident reviews.
Drive cross-functional collaboration with product, engineering, and customer-facing teams to ensure infrastructure capabilities and reliability investments align with product goals and enterprise customer requirements.
Oversee incident management and escalation processes for high-severity production issues, ensuring clear communication, rapid resolution, and systemic follow-through.
Translate recurring operational pain points and customer feedback into roadmap priorities, product improvements, and runbook enhancements across both teams.
Ensure best practices for CI/CD, infrastructure-as-code, GitOps, Kubernetes, and cloud resource management are consistently adopted and maintained across the org.
Partner with forward-deployed and customer success teams to support enterprise accounts with strict SLAs and complex infrastructure requirements.
Navigate ambiguity and make sound architectural and organizational tradeoffs, avoiding unnecessary complexity while enabling your teams to move fast.
Demonstrate accountability, pride of ownership, and high standards — and expect the same from your leads and their teams.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
Proven experience managing managers and leading multiple high-performing infrastructure, platform, or SRE teams in a fast-paced, high-growth environment.
Deep technical expertise in Kubernetes (multi-cloud across EKS, GKE, or similar), cloud infrastructure, and distributed systems, with the ability to engage credibly in architectural and operational decisions.
Hands-on background with infrastructure-as-code (e.g., Terraform, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins); familiarity with GitOps workflows (e.g., Flux CD, ArgoCD, Helm).
Strong foundation in observability tooling — metrics (Prometheus, VictoriaMetrics), logging (Loki, ELK), dashboards (Grafana), tracing (OpenTelemetry) — and a track record of raising reliability standards through SLOs, SLIs, and observability-as-code.
Experience owning incident management and enterprise SLAs at scale, including executive-level communication during high-severity incidents and rigorous post-incident follow-through.
Demonstrated ability to lead complex, multi-stakeholder technical initiatives from scoping through execution, balancing engineering excellence with pragmatic delivery.
Strong communication skills with executive presence, capable of representing technical work clearly to both technical and non-technical audiences.
No prior machine learning experience required, but should be open to learning about ML infrastructure and model serving.
BONUS
Familiarity with running high-performance AI models and workloads, including troubleshooting ML pipelines from preprocessing through inference and serving.
Experience with GPU infrastructure, including fractional GPU provisioning and multi-node model serving (e.g., on H100s or B200s).
Experience with incident management platforms (e.g., incident.io, PagerDuty) and building AI-assisted tooling for incident triage and response.
Experience scaling an SRE practice: defining runbook standards, building self-healing automations, and converting high-frequency failure patterns into systematic mitigations.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs Senior Manager of Cloud Platform and Site Reliability, you will lead and grow the org responsible for the infrastructure that powers Baseten's machine learning platform. This is a manager-of-managers role: you will lead team leads across our Cloud Platform and Site Reliability Engineering functions, setting the technical direction, defining reliability standards, and building the organizational muscle to scale our infrastructure alongside the product.\n\nYou will own the end-to-end health of our cloud infrastructure and SRE practice — from coaching your leads through complex incident response and enterprise customer escalations, to shaping the multi-year roadmap for multi-cloud capacity, GPU inference infrastructure, and observability platforms. You operate at the intersection of people, strategy, and systems: you know how to build and develop strong teams, hold a high bar for engineering excellence, and make principled tradeoffs between long-term investment and short-term operational demands.\n\nThis role requires someone who can zoom out to set org-level direction while remaining technically credible enough to engage meaningfully in architectural decisions across Kubernetes, multi-cloud infrastructure, and reliability engineering.\n\n \n\nRESPONSIBILITIES\n\n - Lead, grow, and develop team leads across the Cloud Platform and Site Reliability Engineering orgs, building a culture of ownership, technical excellence, and continuous improvement.\n\n - Set the technical direction and roadmap for infrastructure, reliability, and platform engineering at the org level — balancing near-term operational needs with long-term strategic investments.\n\n - Own the reliability posture of the platform end-to-end, establishing and enforcing org-wide standards for SLOs/SLIs, incident response, observability-as-code, runbooks, and post-incident reviews.\n\n - Drive cross-functional collaboration with product, engineering, and customer-facing teams to ensure infrastructure capabilities and reliability investments align with product goals and enterprise customer requirements.\n\n - Oversee incident management and escalation processes for high-severity production issues, ensuring clear communication, rapid resolution, and systemic follow-through.\n\n - Translate recurring operational pain points and customer feedback into roadmap priorities, product improvements, and runbook enhancements across both teams.\n\n - Ensure best practices for CI/CD, infrastructure-as-code, GitOps, Kubernetes, and cloud resource management are consistently adopted and maintained across the org.\n\n - Partner with forward-deployed and customer success teams to support enterprise accounts with strict SLAs and complex infrastructure requirements.\n\n - Navigate ambiguity and make sound architectural and organizational tradeoffs, avoiding unnecessary complexity while enabling your teams to move fast.\n\n - Demonstrate accountability, pride of ownership, and high standards — and expect the same from your leads and their teams.\n\n \n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.\n\n - Proven experience managing managers and leading multiple high-performing infrastructure, platform, or SRE teams in a fast-paced, high-growth environment.\n\n - Deep technical expertise in Kubernetes (multi-cloud across EKS, GKE, or similar), cloud infrastructure, and distributed systems, with the ability to engage credibly in architectural and operational decisions.\n\n - Hands-on background with infrastructure-as-code (e.g., Terraform, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Jenkins); familiarity with GitOps workflows (e.g., Flux CD, ArgoCD, Helm).\n\n - Strong foundation in observability tooling — metrics (Prometheus, VictoriaMetrics), logging (Loki, ELK), dashboards (Grafana), tracing (OpenTelemetry) — and a track record of raising reliability standards through SLOs, SLIs, and observability-as-code.\n\n - Experience owning incident management and enterprise SLAs at scale, including executive-level communication during high-severity incidents and rigorous post-incident follow-through.\n\n - Demonstrated ability to lead complex, multi-stakeholder technical initiatives from scoping through execution, balancing engineering excellence with pragmatic delivery.\n\n - Strong communication skills with executive presence, capable of representing technical work clearly to both technical and non-technical audiences.\n\n - No prior machine learning experience required, but should be open to learning about ML infrastructure and model serving.\n\n \n\nBONUS\n\n - Familiarity with running high-performance AI models and workloads, including troubleshooting ML pipelines from preprocessing through inference and serving.\n\n - Experience with GPU infrastructure, including fractional GPU provisioning and multi-node model serving (e.g., on H100s or B200s).\n\n - Experience with incident management platforms (e.g., incident.io, PagerDuty) and building AI-assisted tooling for incident triage and response.\n\n - Experience scaling an SRE practice: defining runbook standards, building self-healing automations, and converting high-frequency failure patterns into systematic mitigations.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1e721b74-58b9-4b03-ac0f-4b1e5c32342e","title":"Engineering Manager, Internal Platform","department":"EPD","team":"Internal Platform (Dev Tooling)","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-09T18:12:27.736+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1e721b74-58b9-4b03-ac0f-4b1e5c32342e","applyUrl":"https://jobs.ashbyhq.com/baseten/1e721b74-58b9-4b03-ac0f-4b1e5c32342e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Engineering Manager for Baseten's Platform Team, you will lead and grow the team responsible for building internal systems to reduce low leverage work for the entire engineering organization. While our product delivers infrastructure for AI development, your team's focus is on creating robust internal systems that amplify productivity, collaboration, and quality across all engineering teams through exceptional tooling, efficient workflows, AI enablement, and world-class development environments.
You are a people-first leader who also brings deep technical conviction. You care about elegant solutions: streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries. You know how to build and inspire a team that delivers them. If you thrive at the intersection of technical craft and people leadership, you'll find this role deeply rewarding.
RESPONSIBILITIES
Team Leadership & Culture
Recruit, hire, and develop a high-performing team of platform engineers.
Foster a culture of technical excellence, psychological safety, and continuous improvement.
Provide regular coaching, feedback, and career development support to your direct reports.
Partner with tech leads and engineering leadership to define the long-term vision and roadmap for platform infrastructure.
Technical Direction
Guide the team in creating diverse tooling tailored to the needs of different engineering teams.
Oversee the enhancement of monorepo capabilities and development of project templates for consistency and efficiency.
Drive the design and implementation of shared libraries focused on observability.
Champion improvements to the speed, reliability, and comprehensiveness of CI pipelines.
Provide a strong platform for high-quality agentic development across the organization.
Ensure the team delivers innovative solutions that improve visibility in continuous delivery (CD) processes.
Cross-Functional Partnership
Act as the primary advocate for platform engineering across the organization, ensuring teams have the resources and tools to stay productive.
Collaborate with product and engineering stakeholders to prioritize platform investments based on business impact.
Communicate team progress, priorities, and technical trade-offs clearly to leadership.
REQUIREMENTS
Proven experience managing and growing engineering teams, ideally in a platform, infrastructure, or developer experience context.
Strong technical background in Go and/or Python, with the ability to engage credibly in code reviews and architectural discussions.
Hands-on experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).
Experience managing and working within large monorepos; bonus points for familiarity with tools such as Bazel, Pants, Moon, or Turborepo.
Advanced understanding of CI/CD concepts and a track record of improving developer experience at scale.
Excellent developer tool culture with a focus on best practices; bonus points if you or your team has contributed to open-source developer tooling.
Strong written and verbal communication skills, with the ability to influence without authority across teams.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Engineering Manager for Baseten's Platform Team, you will lead and grow the team responsible for building internal systems to reduce low leverage work for the entire engineering organization. While our product delivers infrastructure for AI development, your team's focus is on creating robust internal systems that amplify productivity, collaboration, and quality across all engineering teams through exceptional tooling, efficient workflows, AI enablement, and world-class development environments.\n\nYou are a people-first leader who also brings deep technical conviction. You care about elegant solutions: streamlined monorepos, lightning-fast CI pipelines, and thoughtfully designed shared libraries. You know how to build and inspire a team that delivers them. If you thrive at the intersection of technical craft and people leadership, you'll find this role deeply rewarding.\n\n\nRESPONSIBILITIES\n\nTeam Leadership & Culture\n\n - Recruit, hire, and develop a high-performing team of platform engineers.\n\n - Foster a culture of technical excellence, psychological safety, and continuous improvement.\n\n - Provide regular coaching, feedback, and career development support to your direct reports.\n\n - Partner with tech leads and engineering leadership to define the long-term vision and roadmap for platform infrastructure.\n\nTechnical Direction\n\n - Guide the team in creating diverse tooling tailored to the needs of different engineering teams.\n\n - Oversee the enhancement of monorepo capabilities and development of project templates for consistency and efficiency.\n\n - Drive the design and implementation of shared libraries focused on observability.\n\n - Champion improvements to the speed, reliability, and comprehensiveness of CI pipelines.\n\n - Provide a strong platform for high-quality agentic development across the organization.\n\n - Ensure the team delivers innovative solutions that improve visibility in continuous delivery (CD) processes.\n\nCross-Functional Partnership\n\n - Act as the primary advocate for platform engineering across the organization, ensuring teams have the resources and tools to stay productive.\n\n - Collaborate with product and engineering stakeholders to prioritize platform investments based on business impact.\n\n - Communicate team progress, priorities, and technical trade-offs clearly to leadership.\n\n\nREQUIREMENTS\n\n - Proven experience managing and growing engineering teams, ideally in a platform, infrastructure, or developer experience context.\n\n - Strong technical background in Go and/or Python, with the ability to engage credibly in code reviews and architectural discussions.\n\n - Hands-on experience with Kubernetes/Docker tooling (e.g., Helm, Docker, Kubernetes).\n\n - Experience managing and working within large monorepos; bonus points for familiarity with tools such as Bazel, Pants, Moon, or Turborepo.\n\n - Advanced understanding of CI/CD concepts and a track record of improving developer experience at scale.\n\n - Excellent developer tool culture with a focus on best practices; bonus points if you or your team has contributed to open-source developer tooling.\n\n - Strong written and verbal communication skills, with the ability to influence without authority across teams.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"1f7d7fda-5540-4205-890b-cdbf774f0814","title":"Software Engineer — GPU Networking & Distributed Systems","department":"EPD","team":"Model Performance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-02-23T20:22:25.126+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/1f7d7fda-5540-4205-890b-cdbf774f0814","applyUrl":"https://jobs.ashbyhq.com/baseten/1f7d7fda-5540-4205-890b-cdbf774f0814/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
At Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.
THE OPPORTUNITY
Networking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.
In this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.
WHAT YOU'LL DO
Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.
Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.
Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.
Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.
Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.
Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.
WHO YOU ARE
You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.
You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.
You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.
You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.
HIGHLY PREFERRED:
Deep knowledge of NCCL, NVSHMEM, and UCX.
Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.
Familiarity with TensorRT-LLM, vLLM, or Sglang.
Experience running low-level benchmarks to \"qualify\" new hardware clusters.
Why join the Model Performance team?
Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.
We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.
High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nAt Baseten, we are building the global operating system for distributed, heterogeneous AI hardware. We believe that as LLM and multi-modal workloads scale, the network is the computer. We are looking for foundational engineers to lead our GPU Networking efforts, making RDMA a first-class building block in our infrastructure and unlocking the next generation of distributed inference optimizations.\n\n\n\nTHE OPPORTUNITY\n\nNetworking and compute are no longer separate disciplines; they are converging. The massive throughput of H100, B200, and NVL72 architectures enables and demands a new approach where communication is co-optimized alongside computation. We are entering an era where the network is an active accelerator, leveraging smart hardware offloads and direct interconnects to ensure that data movement operates at wire-speed.\n\nIn this role, you will go beyond network configuration to architect the software fabric that unifies thousands of GPUs into a cohesive operating system. While you will leverage the best of the open-source ecosystem, you won't be limited by it. Where off-the-shelf solutions stop, you will build from scratch, engineering the primitives required to co-optimize communication and compute for Disaggregated Serving, Wide Expert Parallelism (WideEP), and lightening cold starts.\n\n\n\nWHAT YOU'LL DO\n\n - Make RDMA First-Class: You will work on integrating RDMA/RoCE/InfiniBand capabilities directly into our inference stack, helping us move beyond TCP/IP to unlock order-of-magnitude improvements in bandwidth and latency.\n\n - Optimize Distributed Inference: You will implement and tune the networking layers necessary for efficient Disaggregated KV Cache Offload and WideEP, ensuring seamless communication across NVLink and InfiniBand for our MoE models.\n\n - Enable Serverless-Grade Startup Speeds for LLMs: You will work deeply with checkpointing and storage mechanisms to enable sub-10-second startup for trillion-parameter models.\n\n - Deep-Dive into Hardware: You will characterize and validate networking performance on bleeding-edge clusters (H100/H200, B200/B300, GB200/300 NVL72), writing the acceptance tests that ensure our hardware delivers peak achievable throughput and minimal latency.\n\n - Build Observability: You will design the tools that let us visualize packet flow, congestion, and effective bandwidth across the GPU interconnects, helping us diagnose complex distributed system behaviors.\n\n - Optimize Kernels: You will work with communication libraries (NCCL, NVSHMEM) and potentially write custom communication kernels to overlap compute and data transfer.\n \n \n\nWHO YOU ARE\n\n - You have deep experience with high-performance networking protocols (InfiniBand, RoCE v2) and understand the physics of data movement.\n\n - You are fluent in C++ or Python, with the ability to bridge the gap between high-level logic and hardware. You have a deep understanding of the memory hierarchy in modern NVIDIA architectures (H100/Blackwell) and know how to optimize for it.\n\n - You like going deep. You aren't afraid to dive into TensorRT-LLM source code, write custom C++ / Python bindings, or debug NVLink topology issues.\n\n - You know when to use an off-the-shelf solution and when we need to build a custom solution because the upstream tools (like standard Kubernetes networking) are too slow for our needs.\n \n \n\nHIGHLY PREFERRED:\n\n - Deep knowledge of NCCL, NVSHMEM, and UCX.\n\n - Experience with GPUDirect Storage (GDS) or high-performance filesystems like Weka or 3FS.\n\n - Familiarity with TensorRT-LLM, vLLM, or Sglang.\n\n - Experience running low-level benchmarks to \"qualify\" new hardware clusters.\n \n \n\nWhy join the Model Performance team?\n\n - Bleeding Edge Hardware: We are preparing to bring Blackwell (B200/B300) and then Rubin architectures online. You will be one of the first engineers in the industry optimizing networking for NVL72/GB300 racks.\n\n - We go deep: We operate at every depth. Whether it’s tuning hardware interconnects, writing custom communication kernels, or designing distributed inference strategies, we work across the entire stack to deliver performance that goes far and beyond.\n\n - High Impact: The networking optimizations you build will directly enable features that no one else in the industry has fully mastered yet, like seamless multi-node WideEP and instant model hydration.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"223f44cf-c7b8-416c-b694-e265579aa1c2","title":"Account Executive - Enterprise (New York)","department":"GTM","team":"Sales","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2026-03-20T00:41:25.239+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/223f44cf-c7b8-416c-b694-e265579aa1c2","applyUrl":"https://jobs.ashbyhq.com/baseten/223f44cf-c7b8-416c-b694-e265579aa1c2/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re looking for an Enterprise Account Executive to help build and scale Baseten’s Enterprise go-to-market motion. You’ll own new business in verticals where AI adoption is accelerating but the stakes—and the buying processes—are uniquely complex: financial services, healthcare and life sciences, insurance, government, and similar industries with rigorous compliance requirements and multi-layered procurement.
This is a high-autonomy role where you’ll contribute directly to our Enterprise GTM strategy—identifying new use cases within your verticals, winning lighthouse customers that become references for their industries, and feeding signal back to product and engineering to shape our roadmap. You’ll work alongside Baseten’s founders, forward-deployed engineering team, and GTM leadership.
WHAT YOU’LL DO
Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals
Drive new logo acquisition and strategic expansion within key accounts, prioritizing organizations that can serve as lighthouse customers within their industries
Become a trusted advisor to customers—understand their unique infrastructure needs, co-innovate on solutions, and lead with conviction by providing clear recommendations grounded in deep industry expertise
Partner with Baseten’s forward-deployed engineers to run technical evaluations, POCs, and architecture reviews that earn customer confidence
Collaborate cross-functionally with Product, Engineering, Legal, and Marketing to bring new solutions to market, develop sales collateral, and refine go-to-market tactics for industry verticals
Continuously share learnings with the broader team—what’s working, what’s blocking deals, and best practices for selling into complex organizations
WHAT WE’RE LOOKING FOR
8+ years of enterprise B2B sales experience in technology, preferably selling infrastructure, API/platform solutions, or developer tooling into large, complex organizations
A track record of managing complex sales cycles and closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and crafting tailored solutions
Experience selling into at least one of: financial services, healthcare/life sciences, insurance, government, or similarly regulated industries
Strong technical acumen - you have experience ramping into highly technical sales environments, and will be able to get comfortable holding your own in conversations about model serving, GPU infra, latency and API architecture.
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
Excellent communication skills and the ability to build trusted relationships from ICs to C-level executives
A roll-up-your-sleeves mentality and comfort with high autonomy in a fast-moving environment where the playbook is still being written
NICE TO HAVE
Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re looking for an Enterprise Account Executive to help build and scale Baseten’s Enterprise go-to-market motion. You’ll own new business in verticals where AI adoption is accelerating but the stakes—and the buying processes—are uniquely complex: financial services, healthcare and life sciences, insurance, government, and similar industries with rigorous compliance requirements and multi-layered procurement.\n\nThis is a high-autonomy role where you’ll contribute directly to our Enterprise GTM strategy—identifying new use cases within your verticals, winning lighthouse customers that become references for their industries, and feeding signal back to product and engineering to shape our roadmap. You’ll work alongside Baseten’s founders, forward-deployed engineering team, and GTM leadership.\n\nWHAT YOU’LL DO\n\n - Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals\n\n - Drive new logo acquisition and strategic expansion within key accounts, prioritizing organizations that can serve as lighthouse customers within their industries\n\n - Become a trusted advisor to customers—understand their unique infrastructure needs, co-innovate on solutions, and lead with conviction by providing clear recommendations grounded in deep industry expertise\n\n - Partner with Baseten’s forward-deployed engineers to run technical evaluations, POCs, and architecture reviews that earn customer confidence\n\n - Collaborate cross-functionally with Product, Engineering, Legal, and Marketing to bring new solutions to market, develop sales collateral, and refine go-to-market tactics for industry verticals\n\n - Continuously share learnings with the broader team—what’s working, what’s blocking deals, and best practices for selling into complex organizations\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of enterprise B2B sales experience in technology, preferably selling infrastructure, API/platform solutions, or developer tooling into large, complex organizations\n\n - A track record of managing complex sales cycles and closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and crafting tailored solutions\n\n - Experience selling into at least one of: financial services, healthcare/life sciences, insurance, government, or similarly regulated industries\n\n - Strong technical acumen - you have experience ramping into highly technical sales environments, and will be able to get comfortable holding your own in conversations about model serving, GPU infra, latency and API architecture.\n\n - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities\n\n - Excellent communication skills and the ability to build trusted relationships from ICs to C-level executives\n\n - A roll-up-your-sleeves mentality and comfort with high autonomy in a fast-moving environment where the playbook is still being written\n\nNICE TO HAVE\n\n - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"2d78fdcf-53e1-45d3-a047-2aefb5ad3153","title":"Product Manager, Developer Experience","department":"EPD","team":"Product","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-10T20:43:54.991+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/2d78fdcf-53e1-45d3-a047-2aefb5ad3153","applyUrl":"https://jobs.ashbyhq.com/baseten/2d78fdcf-53e1-45d3-a047-2aefb5ad3153/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building building great AI Infrastructure. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.
Getting a model into production still takes real expertise — choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from \"it runs on my laptop\" to \"it's serving production traffic\" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with Great DevEx and make it effortless to drive and self-serve deploy models on Baseten for far more developers than it is today.
You will collapse time-to-production — take a developer from first sign-up to a running, maintained production deployment, and drive down the time it takes to get there.
You will make the CLI and SDKs the primary way developers and their AI agents build on Baseten — and the authoring surfaces (CLI, console, truss, config.yml / model.py / chains.py) converged into one coherent path.
You will make a developer's first run effortless — onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface and builds show progress.
You will own the deployment lifecycle that lets teams ship safely — environment promotion (dev → staging → prod), version history and an artifact/model registry, reproducible deployments, and the progressive-delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback.
You will define how developers compose multi-model apps — Chains and the DevEx for developers building multi-modal agents and applications.
You will grow self-serve deployment across FDEs and customers — you live in customer conversations and turn deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone.
You’ve built dev tools as an engineer before you became a PM. You've shipped SDKs, CLIs, APIs, or platform surfaces with your own hands.
You take great pride in dev tooling and dev products that you’ve shipped with proof
5+ years building developer-facing or technical products - as a product manager, or as a product-minded engineer.
Genuine taste for developer experience across both local (CLI) and UI - you've made something complex feel simple, and can point to where.
Strong opinions on CLI, API first and agent-first design - you treat the coding agent as a first-class user, not a feature.
Technical enough to earn engineers' trust and reason about what's under the hood — because you've been under it.
A rigorous researcher who lets customer reality drive the call and a relentless shipper.
Bonus: experience with ML infrastructure, developer tools, or API products, you've deployed and served models yourself.
You don't like getting technical.
You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.
You want a mature design system and established patterns to work within, rather than defining them from scratch.
You’re not obsessed with improving your Product craft with AI
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\nPRODUCT AT BASETEN\n\nProduct at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the first people who will help define it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for building building great AI Infrastructure. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.\n\n\n\nTHE ROLE\n\nGetting a model into production still takes real expertise — choosing a serving engine, sizing hardware, tuning it, wiring it into an app. We want a developer to go from \"it runs on my laptop\" to \"it's serving production traffic\" in minutes, on their own. You'll own the entire experience a developer touches to deploy and iterate: the CLI and SDKs, the console, onboarding, model discovery, deployment configuration, truss, and the increasingly agent-driven ways developers build. Your job is to make Baseten synonymous with Great DevEx and make it effortless to drive and self-serve deploy models on Baseten for far more developers than it is today.\n\n\n\nIMPACT AND OUTCOMES YOU'LL DRIVE\n\n - You will collapse time-to-production — take a developer from first sign-up to a running, maintained production deployment, and drive down the time it takes to get there.\n\n - You will make the CLI and SDKs the primary way developers and their AI agents build on Baseten — and the authoring surfaces (CLI, console, truss, config.yml / model.py http://model.py / chains.py http://chains.py) converged into one coherent path.\n\n - You will make a developer's first run effortless — onboarding, model discovery and deploy via the Model Library, and a first deploy where errors surface and builds show progress.\n\n - You will own the deployment lifecycle that lets teams ship safely — environment promotion (dev → staging → prod), version history and an artifact/model registry, reproducible deployments, and the progressive-delivery controls developers set and read: canary, shadow, A/B, scheduled promotion, and one-gesture rollback.\n\n - You will define how developers compose multi-model apps — Chains and the DevEx for developers building multi-modal agents and applications.\n\n - You will grow self-serve deployment across FDEs and customers — you live in customer conversations and turn deploy-and-operate friction into roadmap, so work that needs an FDE today becomes something a developer does alone.\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - You’ve built dev tools as an engineer before you became a PM. You've shipped SDKs, CLIs, APIs, or platform surfaces with your own hands.\n\n - You take great pride in dev tooling and dev products that you’ve shipped with proof\n\n - 5+ years building developer-facing or technical products - as a product manager, or as a product-minded engineer.\n\n - Genuine taste for developer experience across both local (CLI) and UI - you've made something complex feel simple, and can point to where.\n\n - Strong opinions on CLI, API first and agent-first design - you treat the coding agent as a first-class user, not a feature.\n\n - Technical enough to earn engineers' trust and reason about what's under the hood — because you've been under it.\n\n - A rigorous researcher who lets customer reality drive the call and a relentless shipper.\n\nBonus: experience with ML infrastructure, developer tools, or API products, you've deployed and served models yourself.\n\n\n\nNOT FOR YOU IF\n\n - You don't like getting technical.\n\n - You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.\n\n - You want a mature design system and established patterns to work within, rather than defining them from scratch.\n\n - You’re not obsessed with improving your Product craft with AI\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"2fdb06a3-ea27-40ee-bf64-0d51e01b8464","title":"Software Engineer - Model Products","department":"EPD","team":"Model Products","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2025-10-11T03:41:17.218+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/2fdb06a3-ea27-40ee-bf64-0d51e01b8464","applyUrl":"https://jobs.ashbyhq.com/baseten/2fdb06a3-ea27-40ee-bf64-0d51e01b8464/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
Baseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model API's — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale.
RESPONSIBILITIES:
Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving
Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups
Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving
Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations
Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.
Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.
Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.
Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.
REQUIREMENTS:
3+ years experience building and operating distributed systems or large‑scale APIs.
Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).
Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.
Comfortable debugging complex systems, from runtime internals to GPU execution traces.
Strong written communication; able to produce clear design docs and collaborate across functions.
NICE TO HAVE:
Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)
Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.
Background in developer‑facing infrastructure or open‑source APIs.
We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\n\nBaseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model API's — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale.\n\n\n\nRESPONSIBILITIES:\n\n - Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal serving\n\n - Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setups\n\n - Productionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance serving\n\n - Build comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurations\n\n - Productionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.\n\n - Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.\n\n - Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.\n\n - Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.\n\n\n\nREQUIREMENTS:\n\n - 3+ years experience building and operating distributed systems or large‑scale APIs.\n\n - Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).\n\n - Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.\n\n - Comfortable debugging complex systems, from runtime internals to GPU execution traces.\n\n - Strong written communication; able to produce clear design docs and collaborate across functions.\n\n\n\nNICE TO HAVE:\n\n - Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)\n\n - Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.\n\n - Background in developer‑facing infrastructure or open‑source APIs.\n\n - We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"3027e0bc-731f-4fef-b081-2031590766fd","title":"Product Manager, Inference Platform","department":"EPD","team":"Product","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-02T18:57:48.605+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/3027e0bc-731f-4fef-b081-2031590766fd","applyUrl":"https://jobs.ashbyhq.com/baseten/3027e0bc-731f-4fef-b081-2031590766fd/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and just shipping great product experiences.
Once a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end - both how they work under the hood and how customers configure and observe them - and you'll help set and define the roadmap that infrastructure and product teams alike can build towards. This space is largely still evolving - think Cloud Infrastructure in mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production and set the market standard.
You will own how workloads scale and where they land — autoscaling to demand (up under load, down to zero when idle) and a single placement policy expressing region, compliance regime, and capacity preference, with compliance-bound workloads given right-of-way on sensitive capacity.
You will make production inference reliable by default — every request reaches a healthy replica, rolling deploys never drop traffic, region-aware routing with multi-region / active-active and fallback as first-class policy, and health-aware recovery from stuck or bad replicas.
You will build the release engine beneath safe rollouts — the traffic-shifting that powers canary/shadow/A/B, warm-ups, drain, and probes.
You will push the cost/performance frontier for serving AI at scale — latency, throughput, uptime, and cost-efficiency, plus a measurable decline in MTTR through self-serve incident management.
8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving.
You reason fluently about scaling, routing, failover, and the cost/performance frontier — and you earn the respect of staff engineers doing it.
You’ve owned capabilities end to end, backend through UX, rather than a single slice.
You drive cross-team roadmaps and the dependencies beneath them, and you're at your best defining a category that doesn't fully exist yet.
Bonus: hands-on with GPU infrastructure, Kubernetes, or serving frameworks like vLLM, TensorRT-LLM, or SGLang.
You don't like getting technical.
You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.
You lean toward applied AI over building platform, systems, GPUs, models, and scaling platforms and infrastructure.
You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\nPRODUCT AT BASETEN\n\nProduct at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and AI engineers and you'll set the standard for what product looks like here. PMs at Baseten don't sit above engineers - you earn ownership by being technical, finding the truth in front of customers, building great cross-functional relationships, and just shipping great product experiences.\n\n\n\nTHE ROLE\n\nOnce a model is deployed, keeping it fast, reliable, and economical at scale is where production inference is won or lost. You'll own the surface that makes that happen: how deployments autoscale, how traffic is routed, how the system fails over, and how workloads scale across clusters and regions. You'll own these as products end to end - both how they work under the hood and how customers configure and observe them - and you'll help set and define the roadmap that infrastructure and product teams alike can build towards. This space is largely still evolving - think Cloud Infrastructure in mid-2000s. Your job is to make it 10x easier to reliably scale and serve AI models in production and set the market standard.\n\n\n\nIMPACT AND OUTCOMES YOU'LL DRIVE\n\n - You will own how workloads scale and where they land — autoscaling to demand (up under load, down to zero when idle) and a single placement policy expressing region, compliance regime, and capacity preference, with compliance-bound workloads given right-of-way on sensitive capacity.\n\n - You will make production inference reliable by default — every request reaches a healthy replica, rolling deploys never drop traffic, region-aware routing with multi-region / active-active and fallback as first-class policy, and health-aware recovery from stuck or bad replicas.\n\n - You will build the release engine beneath safe rollouts — the traffic-shifting that powers canary/shadow/A/B, warm-ups, drain, and probes.\n\n - You will push the cost/performance frontier for serving AI at scale — latency, throughput, uptime, and cost-efficiency, plus a measurable decline in MTTR through self-serve incident management.\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years in product management, including deep experience with infrastructure, distributed systems, or ML serving.\n\n - You reason fluently about scaling, routing, failover, and the cost/performance frontier — and you earn the respect of staff engineers doing it.\n\n - You’ve owned capabilities end to end, backend through UX, rather than a single slice.\n\n - You drive cross-team roadmaps and the dependencies beneath them, and you're at your best defining a category that doesn't fully exist yet.\n\nBonus: hands-on with GPU infrastructure, Kubernetes, or serving frameworks like vLLM, TensorRT-LLM, or SGLang.\n\n\n\nNOT FOR YOU IF\n\n - You don't like getting technical.\n\n - You prefer only strategy, UX, or writing great docs over doing whatever it takes to ship great products for customers.\n\n - You lean toward applied AI over building platform, systems, GPUs, models, and scaling platforms and infrastructure.\n\n - You're not interested in the foundational, sometimes unglamorous work of making AI systems reliable and scalable at the infrastructure level.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"33fbe172-8c06-4af7-9ffe-aa2fb382c217","title":"Engineering Manager, Model Library","department":"EPD","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-13T21:25:00.727+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/33fbe172-8c06-4af7-9ffe-aa2fb382c217","applyUrl":"https://jobs.ashbyhq.com/baseten/33fbe172-8c06-4af7-9ffe-aa2fb382c217/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
You'll lead the Model Library team at Baseten — a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This role is for a product-minded engineering manager who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution.
You'll stay technically grounded while driving the team's work across model discovery, evaluation frameworks, and the infrastructure that powers a best-in-class model library experience.
EXAMPLE INITIATIVES:
RESPONSIBILITIES:
Lead and grow a team of engineers, including hiring, mentorship, and career development.
Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models.
Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress.
Maintain a high technical bar through design doc reviews, code reviews, and hands-on architectural guidance.
Drive product quality and reliability: define success metrics, establish feedback loops, and ensure a consistent, high-quality developer experience.
Foster a culture of strong written communication, clear design thinking, and effective collaboration.
REQUIREMENTS:
Experience managing engineers building developer-facing products: APIs, SDKs, or developer tooling.
Product intuition and technical judgment — able to balance speed, quality, and developer experience tradeoffs.
Technically hands-on enough to review designs, debug issues, and earn the trust of a strong IC team.
Strong written communication and cross-functional collaboration skills.
Interest in AI/ML and the evolving model landscape; willingness to develop deep domain knowledge (ML expertise not required).
Experience building or supporting self-serve workflows.
NICE TO HAVE:
Background as an IC in developer tooling, APIs, or ML infrastructure before moving into management.
Experience with model evaluation, benchmarking, or comparison frameworks.
Familiarity with inference platforms, LLM runtimes, or the model ecosystem (open-source and frontier).
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\n\nYou'll lead the Model Library team at Baseten — a small, high-ownership team focused on helping developers discover, evaluate, and select the right models for their specific use cases. This role is for a product-minded engineering manager who thrives in ambiguous, high-impact environments and can guide a team from early-stage product thinking through production-quality execution.\n\nYou'll stay technically grounded while driving the team's work across model discovery, evaluation frameworks, and the infrastructure that powers a best-in-class model library experience.\n\n\nEXAMPLE INITIATIVES:\n\n - Model APIs for frontier models https://www.baseten.co/products/model-apis/\n\n - Model training built for production inference https://www.baseten.co/products/training/\n\n - Introducing the Baseten Frontier Gateway https://www.baseten.co/blog/introducing-baseten-frontier-gateway/\n\n\nRESPONSIBILITIES:\n\n - Lead and grow a team of engineers, including hiring, mentorship, and career development.\n\n - Own the Model Library product area end-to-end — from discovery and evaluation experiences to the APIs and tooling developers use to integrate models.\n\n - Partner with product, ML, and cross-functional stakeholders to define scope, prioritize work, and communicate progress.\n\n - Maintain a high technical bar through design doc reviews, code reviews, and hands-on architectural guidance.\n\n - Drive product quality and reliability: define success metrics, establish feedback loops, and ensure a consistent, high-quality developer experience.\n\n - Foster a culture of strong written communication, clear design thinking, and effective collaboration.\n\n\nREQUIREMENTS:\n\n - Experience managing engineers building developer-facing products: APIs, SDKs, or developer tooling.\n\n - Product intuition and technical judgment — able to balance speed, quality, and developer experience tradeoffs.\n\n - Technically hands-on enough to review designs, debug issues, and earn the trust of a strong IC team.\n\n - Strong written communication and cross-functional collaboration skills.\n\n - Interest in AI/ML and the evolving model landscape; willingness to develop deep domain knowledge (ML expertise not required).\n\n - Experience building or supporting self-serve workflows.\n\n\nNICE TO HAVE:\n\n - Background as an IC in developer tooling, APIs, or ML infrastructure before moving into management.\n\n - Experience with model evaluation, benchmarking, or comparison frameworks.\n\n - Familiarity with inference platforms, LLM runtimes, or the model ecosystem (open-source and frontier).\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"342a4c0e-7da3-490e-927f-dffb51f847b2","title":"Product Manager, Enterprise","department":"EPD","team":"Product","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T21:08:38.479+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/342a4c0e-7da3-490e-927f-dffb51f847b2","applyUrl":"https://jobs.ashbyhq.com/baseten/342a4c0e-7da3-490e-927f-dffb51f847b2/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
PRODUCT AT BASETEN
Product at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for what product looks like here. You earn trust by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.
THE ROLE
The largest, most demanding Enterprises are starting to run on Baseten and they come with a range of security, compliance, and procurement requirements. Today that readiness is assembled deal-by-deal. You'll own the enterprise-readiness surface end to end and turn it into product: the deployment options customers can choose and buy, compliance posture they can trust, access and security controls their IT teams require, and the billing and spend controls their finance teams expect. What does a complete Baseten Enterprise Product offering look like?
RESPONSIBILITIES
Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make \"enterprise-ready\" a platform-wide capability, not a deal-by-deal scramble. Outcome: readiness becomes a supported, priced product instead of bespoke work assembled per deal.
Product Vision and Roadmap: See around the curve on what regulated customers will require — deployment models, compliance posture, identity and access, billing and spend controls — and build ahead of the need. Outcome: one prioritized roadmap and operational rigor that help us get ahead of customer requirements instead of reacting to them.
Be the Enterprise customer voice: Turn deal-blocking requirements from sales and FDE into product. Outcome: the steady stream of one-off exceptions becomes a smaller set of sellable, supported capabilities.
WHAT WE'RE LOOKING FOR
8+ years in product management, with real depth in enterprise or B2B infrastructure — security, compliance, identity, networking, or billing.
You've shipped enterprise readiness surface - multi-cloud and multi-region deployments, SSO/RBAC, SOC 2/HIPAA, VPC/PrivateLink, usage-based billing and can publicly point to the products you’ve shipped
Credible in the room with security, compliance, and procurement buyers and with the engineers who build it.
You think in supported, priced products - not per-deal exceptions - and you know the difference between a feature and a sellable capability.
A rigorous researcher who lets customer and deal reality drive the call, and a relentless shipper.
Bonus: ML infrastructure experience, you've sold into or built for regulated industries (healthcare, financial services, government), etc
NOT FOR YOU IF
You don't like getting technical.
You see compliance, security, and billing as checkbox work rather than product.
You'd rather negotiate one-off exceptions per deal than build the product that ends the exceptions.
You don’t like the Enterprise or building for Enterprise customers
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nPRODUCT AT BASETEN\n\nProduct at Baseten is a nascent function. Our company today has a strong engineering culture, is heavily customer-obsessed, and moves fast. We're building the product function now, and you'd be one of the people who defines it. You'll work directly with our founders and with some of the best systems and infrastructure engineers in the world, and you'll set the standard for what product looks like here. You earn trust by being technical, finding the truth in front of customers, building great cross-functional relationships, and shipping great product experiences.\n\n\n\nTHE ROLE\n\nThe largest, most demanding Enterprises are starting to run on Baseten and they come with a range of security, compliance, and procurement requirements. Today that readiness is assembled deal-by-deal. You'll own the enterprise-readiness surface end to end and turn it into product: the deployment options customers can choose and buy, compliance posture they can trust, access and security controls their IT teams require, and the billing and spend controls their finance teams expect. What does a complete Baseten Enterprise Product offering look like?\n\n\n\nRESPONSIBILITIES\n\n - Drive the Enterprise Readiness customer experience end to end: Partner with GTM and Enterprise Engineering to make \"enterprise-ready\" a platform-wide capability, not a deal-by-deal scramble. Outcome: readiness becomes a supported, priced product instead of bespoke work assembled per deal.\n\n - Product Vision and Roadmap: See around the curve on what regulated customers will require — deployment models, compliance posture, identity and access, billing and spend controls — and build ahead of the need. Outcome: one prioritized roadmap and operational rigor that help us get ahead of customer requirements instead of reacting to them.\n\n - Be the Enterprise customer voice: Turn deal-blocking requirements from sales and FDE into product. Outcome: the steady stream of one-off exceptions becomes a smaller set of sellable, supported capabilities.\n\n\n\nWHAT WE'RE LOOKING FOR\n\n - 8+ years in product management, with real depth in enterprise or B2B infrastructure — security, compliance, identity, networking, or billing.\n\n - You've shipped enterprise readiness surface - multi-cloud and multi-region deployments, SSO/RBAC, SOC 2/HIPAA, VPC/PrivateLink, usage-based billing and can publicly point to the products you’ve shipped\n\n - Credible in the room with security, compliance, and procurement buyers and with the engineers who build it.\n\n - You think in supported, priced products - not per-deal exceptions - and you know the difference between a feature and a sellable capability.\n\n - A rigorous researcher who lets customer and deal reality drive the call, and a relentless shipper.\n\nBonus: ML infrastructure experience, you've sold into or built for regulated industries (healthcare, financial services, government), etc\n\n\n\nNOT FOR YOU IF\n\n - You don't like getting technical.\n\n - You see compliance, security, and billing as checkbox work rather than product.\n\n - You'd rather negotiate one-off exceptions per deal than build the product that ends the exceptions.\n\n - You don’t like the Enterprise or building for Enterprise customers\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"3622a1ee-50a9-4c45-af6e-aa12bd5de22f","title":"Frontend Engineer","department":"EPD","team":"Dedicated Inference","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-06-23T16:06:39.411+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/3622a1ee-50a9-4c45-af6e-aa12bd5de22f","applyUrl":"https://jobs.ashbyhq.com/baseten/3622a1ee-50a9-4c45-af6e-aa12bd5de22f/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re looking for a Senior Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Core Product team:
RESPONSIBILITIES
Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript
Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs
Optimize application performance and reliability, with a focus on rendering speed and responsiveness
Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows
Eestablish best practices, and mentor other engineers on frontend technologies
Build reusable component libraries and frontend infrastructure that accelerate product development
Partner with backend and platform teams to define and refine APIs and end-to-end flows
REQUIREMENTS
5+ years of experience building production-grade web applications
Deep expertise in React, TypeScript, and modern web development tooling
Track record of building well-crafted, performant, and scalable UIs
Strong product intuition and empathy for the user experience
Experience working in cross-functional product teams in a fast-paced environment
Excellent communication and collaboration skills
NICE TO HAVE
Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks
Background in developer tools or data/ML infrastructure products
Experience with WebSockets, real-time data, or custom visualization tooling
Contributions to open-source projects or public engineering work
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re looking for a Senior Frontend Engineer to craft performant and delightful user experiences across Baseten’s core platform. You’ll own critical parts of our web application stack and collaborate cross-functionally with product, design, and backend teams to launch impactful features that help users deploy and manage AI systems at scale.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Core Product team:\n\n - Rolling Deployments https://www.baseten.co/blog/rolling-deployments-zero-downtime-model-updates/\n\n - Model APIs for frontier models https://www.baseten.co/products/model-apis/\n\n - Model training built for production inference https://www.baseten.co/products/training/\n\n\n\nRESPONSIBILITIES\n\n - Design, implement, and maintain responsive, accessible, and user-friendly frontend interfaces using React and TypeScript\n\n - Collaborate closely with product designers to turn complex ideas into elegant, intuitive UIs\n\n - Optimize application performance and reliability, with a focus on rendering speed and responsiveness\n\n - Drive major frontend initiatives, including partnering with backend teams to define APIs and test and refine end-to-end flows\n\n - Eestablish best practices, and mentor other engineers on frontend technologies\n\n - Build reusable component libraries and frontend infrastructure that accelerate product development\n\n - Partner with backend and platform teams to define and refine APIs and end-to-end flows\n\n\n\nREQUIREMENTS\n\n - 5+ years of experience building production-grade web applications\n\n - Deep expertise in React, TypeScript, and modern web development tooling\n\n - Track record of building well-crafted, performant, and scalable UIs\n\n - Strong product intuition and empathy for the user experience\n\n - Experience working in cross-functional product teams in a fast-paced environment\n\n - Excellent communication and collaboration skills\n\n\n\nNICE TO HAVE\n\n - Familiarity with Tailwind CSS, Next.js, or other modern frontend frameworks\n\n - Background in developer tools or data/ML infrastructure products\n\n - Experience with WebSockets, real-time data, or custom visualization tooling\n\n - Contributions to open-source projects or public engineering work\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"49aaa88c-75b5-4d4e-b726-28bfecd4300e","title":"Sales Development Representative - Inbound ","department":"GTM","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-01T20:50:42.915+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/49aaa88c-75b5-4d4e-b726-28bfecd4300e","applyUrl":"https://jobs.ashbyhq.com/baseten/49aaa88c-75b5-4d4e-b726-28bfecd4300e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Inbound Sales Development Representative at Baseten, you'll be the first point of contact for prospects who've shown interest in Baseten - quickly engaging, understanding their needs, and qualifying them against our ideal customer profile. You'll turn inbound interest into qualified pipeline.
RESPONSIBILITIES
Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.
Diligently respond to inbound inquiries and determine potential product fit.
Help influence Baseten's product roadmap for customers and prospects.
Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten.
Stay up-to-date on market trends, competition, and industry developments.
Manage and document the progression of the sales pipeline.
Drive pre- & post-engagement at industry events (will attend multiple events in person).
REQUIREMENTS
Ability to develop strong, long-lasting relationships both internally and externally.
Collaborative and coachable, always looking to improve your skills and impact.
Ability to handle rejection and stay persistent in pursuing leads.
Excellent verbal and written communication skills.
A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.).
Excellent time management, process, and prioritization skills.
Preferred experience with Cloud or Security sales.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Inbound Sales Development Representative at Baseten, you'll be the first point of contact for prospects who've shown interest in Baseten - quickly engaging, understanding their needs, and qualifying them against our ideal customer profile. You'll turn inbound interest into qualified pipeline.\n\n\n\nRESPONSIBILITIES\n\n - Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.\n\n - Diligently respond to inbound inquiries and determine potential product fit.\n\n - Help influence Baseten's product roadmap for customers and prospects.\n\n - Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten.\n\n - Stay up-to-date on market trends, competition, and industry developments.\n\n - Manage and document the progression of the sales pipeline.\n\n - Drive pre- & post-engagement at industry events (will attend multiple events in person).\n\n\n\nREQUIREMENTS\n\n - Ability to develop strong, long-lasting relationships both internally and externally.\n\n - Collaborative and coachable, always looking to improve your skills and impact.\n\n - Ability to handle rejection and stay persistent in pursuing leads.\n\n - Excellent verbal and written communication skills.\n\n - A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.).\n\n - Excellent time management, process, and prioritization skills.\n\n - Preferred experience with Cloud or Security sales.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"4e507a15-c9bb-4877-b422-f3eb462a3732","title":"Manager, Strategic Sales","department":"GTM","team":"Strategic","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-01-28T16:13:23.222+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/4e507a15-c9bb-4877-b422-f3eb462a3732","applyUrl":"https://jobs.ashbyhq.com/baseten/4e507a15-c9bb-4877-b422-f3eb462a3732/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are seeking a Sales Manager to help lead a team of Strategic Account Executives. This person will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers.
RESPONSIBILITIES
Lead and mentor a team of Strategic Account Executives to consistently exceed pipeline and revenue goals.
Help define and execution on go-to-market strategy for our fastest growing customer segment.
Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap.
Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers.
Foster a culture of accountability, learning, and collaboration within the sales team.
REQUIREMENTS
6+ years of closing sales experience, with 2+ years in management leading high-performing teams.
Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms.
Comfortable operating in the weeds with technical products and guiding reps through complex deals.
Proven track record of success in Strategic/Enterprise sales environments.
Based in San Francisco or New York and open to coming in office at least 3 days per week (Tuesday-Thursday).
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are seeking a Sales Manager to help lead a team of Strategic Account Executives. This person will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers.\n\n\n\nRESPONSIBILITIES\n\n - Lead and mentor a team of Strategic Account Executives to consistently exceed pipeline and revenue goals.\n\n - Help define and execution on go-to-market strategy for our fastest growing customer segment.\n\n - Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap.\n\n - Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers.\n\n - Foster a culture of accountability, learning, and collaboration within the sales team.\n\n\n\nREQUIREMENTS\n\n - 6+ years of closing sales experience, with 2+ years in management leading high-performing teams.\n\n - Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms.\n\n - Comfortable operating in the weeds with technical products and guiding reps through complex deals.\n\n - Proven track record of success in Strategic/Enterprise sales environments.\n\n - Based in San Francisco or New York and open to coming in office at least 3 days per week (Tuesday-Thursday).\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"508b792d-57a0-467e-9a89-76fe72e84433","title":"AI Solutions Engineer","department":"EPD","team":"FDE Generalists","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-21T16:55:07.396+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/508b792d-57a0-467e-9a89-76fe72e84433","applyUrl":"https://jobs.ashbyhq.com/baseten/508b792d-57a0-467e-9a89-76fe72e84433/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an AI Solutions Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.
This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.
To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
1+ years of professional work experience in a fast-paced, high-growth environment.
Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
Strong communication skills, particularly on complex technical topics.
Experience in building or optimizing AI/ML projects is highly valued.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an AI Solutions Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.\n\nThis role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.\n\nTo be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.\n\n\n\nEXAMPLE INITIATIVES\n\nTake a look at these blog posts written by members of our Forward Deployed Engineering team:\n\n - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/\n\n - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/\n\n - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/\n\n - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/\n\n\nRESPONSIBILITIES\n\n - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.\n\n - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.\n\n - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers\n\n - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.\n\n - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.\n\n - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.\n\n - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.\n \n \n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.\n\n - 1+ years of professional work experience in a fast-paced, high-growth environment.\n\n - Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.\n\n - Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.\n\n - Strong communication skills, particularly on complex technical topics.\n\n - Experience in building or optimizing AI/ML projects is highly valued.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"54c83823-574e-40ad-9cff-a57acff0ffe6","title":"Solution Architect (AI/LLM Inference)","department":"EPD","team":"Solution Architect","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-10T18:44:44.405+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/54c83823-574e-40ad-9cff-a57acff0ffe6","applyUrl":"https://jobs.ashbyhq.com/baseten/54c83823-574e-40ad-9cff-a57acff0ffe6/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
As a Solution Architect (AI/LLM Inference) at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES:
Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
Own benchmarking and repeatable deployments, including:
Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
Driving consistent “playbook” style deployments for common models and use cases.
Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them
Drive POC and project execution, including:
Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
Acting as the “ringleader” or project manager for POCs.
Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS:
AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
Technical depth to scope solutions, without needing to write production code.
Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE:
Experience running or supporting benchmarks for ML inference deployments.
Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\nAs a Solution Architect (AI/LLM Inference) at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.\n\n\nRESPONSIBILITIES:\n\n - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).\n\n - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.\n\n - Own benchmarking and repeatable deployments, including:\n\n - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.\n\n - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.\n\n - Driving consistent “playbook” style deployments for common models and use cases.\n\n - Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them\n\n - Drive POC and project execution, including:\n\n - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.\n\n - Acting as the “ringleader” or project manager for POCs.\n\n - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.\n \n \n\nREQUIREMENTS:\n\n - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.\n\n - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.\n\n - Technical depth to scope solutions, without needing to write production code.\n\n - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.\n \n \n\nNICE TO HAVE:\n\n - Experience running or supporting benchmarks for ML inference deployments.\n\n - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).\n\n - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"58d7d8e6-86ee-43a1-baec-3dddcb661d51","title":"Base Labs Fellowship","department":"EPD","team":"Post-Training","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-06T22:24:08.492+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/58d7d8e6-86ee-43a1-baec-3dddcb661d51","applyUrl":"https://jobs.ashbyhq.com/baseten/58d7d8e6-86ee-43a1-baec-3dddcb661d51/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
ABOUT BASE LABS
Base Labs is a research lab pushing the frontier of open-source LLMs. We think intelligence should be democratized, not controlled by a handful of closed labs and we think very few teams are actually positioned to do something about that.
Backed by Baseten's training and inference infrastructure, we have the compute, resources, and talent to take on hard problems at the frontier and open-source what we learn along the way.
Our mission is to help build a world where intelligence isn't concentrated, but spread across an ecosystem of models that anyone can build on. That mission shapes what we choose to work on, how we work on it, and who we want in the room.
We are accepting applications on a rolling basis for our first cohort of Base Labs Fellows, which is expected to start in late September. Apply using this link.
BASE LABS FELLOWSHIP OVERVIEW
The Base Labs Fellowship is designed to give researchers exposure to what frontier research looks like in industry. We provide funding, mentorship, and full support to our fellows, with the goal of producing rigorous, published research that shapes both the open-source ecosystem and Baseten's technical roadmap.
We run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in Sept 2026 and beyond.
WHAT TO EXPECT
3 months of full-time research from our San Francisco office
A dedicated 1:1 mentorship from a senior researcher
$15,000 Stipend (per 3-months)
Funding for compute and other research expenses
Opportunities to publish and present at top venues, including ICML, NeurIPS, and Grace Hopper
A clear path to a full-time offer for the strongest performers
Each fellow is matched 1:1 with one of three senior researchers.
Potential mentors include:
Michael Psenka
Max Kirkby
Charles O’Neill
Note: You're welcome to research mentors' prior work, but all applications must go through the official process below, not the mentors directly.
A quick note on our view on talent.
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things traditional researchers have never had to see. If you don’t have the usual qualifications and are doing exceptional work, we’d love to chat.
For the sake of providing some directional criteria for potential fits for this fellowship:
Are enrolled in or have recently completed a PhD in ML, AI, statistics, or a closely related field
Have a publication record or research portfolio that demonstrates original, rigorous thinking
Care about what your work is in service of - not just the problem, but why it matters
Want to operate with autonomy and don't need a defined roadmap to do your best work
Are excited to be in San Francisco for the duration of the program, fully embedded in the team
Are drawn to the idea of building a research culture, not just participating in one
WHY BASE LABS?
1:1 by design. Three fellows, three mentors. You will not get lost.
Real stakes. Your research feeds directly into decisions about what Baseten builds and what workloads it pursues. The line from your work to the product is short.
A founding moment. We are building Base Labs from scratch. The first cohort shapes what it becomes the culture, the research agenda, the brand.
Full support. Housing, meals, travel, and compute are all handled. We remove every barrier between you and the work.
A clear path forward. Top performers are considered for a full-time role.
NOTE: The benefits listed below are only applicable to full-time hires.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nABOUT BASE LABS\n\nBase Labs is a research lab pushing the frontier of open-source LLMs. We think intelligence should be democratized, not controlled by a handful of closed labs and we think very few teams are actually positioned to do something about that.\n\nBacked by Baseten's training and inference infrastructure, we have the compute, resources, and talent to take on hard problems at the frontier and open-source what we learn along the way.\n\nOur mission is to help build a world where intelligence isn't concentrated, but spread across an ecosystem of models that anyone can build on. That mission shapes what we choose to work on, how we work on it, and who we want in the room.\n\nWe are accepting applications on a rolling basis for our first cohort of Base Labs Fellows, which is expected to start in late September. Apply using this link.\n\n\n\nBASE LABS FELLOWSHIP OVERVIEW\n\nThe Base Labs Fellowship is designed to give researchers exposure to what frontier research looks like in industry. We provide funding, mentorship, and full support to our fellows, with the goal of producing rigorous, published research that shapes both the open-source ecosystem and Baseten's technical roadmap.\n\nWe run multiple cohorts of Fellows each year and review applications on a rolling basis. This application is for cohorts starting in Sept 2026 and beyond.\n\n\n\nWHAT TO EXPECT\n\n - 3 months of full-time research from our San Francisco office\n\n - A dedicated 1:1 mentorship from a senior researcher\n\n - $15,000 Stipend (per 3-months)\n\n - Funding for compute and other research expenses\n\n - Opportunities to publish and present at top venues, including ICML, NeurIPS, and Grace Hopper\n\n - A clear path to a full-time offer for the strongest performers\n\n\nYOUR MENTORS\n\nEach fellow is matched 1:1 with one of three senior researchers.\n\nPotential mentors include:\n\n - Michael Psenka\n\n - Max Kirkby\n\n - Charles O’Neill\n\nNote: You're welcome to research mentors' prior work, but all applications must go through the official process below, not the mentors directly.\n\n\n\n\nWHO WE'RE LOOKING FOR\n\nA quick note on our view on talent.\n\nMany of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things traditional researchers have never had to see. If you don’t have the usual qualifications and are doing exceptional work, we’d love to chat.\n\nFor the sake of providing some directional criteria for potential fits for this fellowship:\n\n - Are enrolled in or have recently completed a PhD in ML, AI, statistics, or a closely related field\n\n - Have a publication record or research portfolio that demonstrates original, rigorous thinking\n\n - Care about what your work is in service of - not just the problem, but why it matters\n\n - Want to operate with autonomy and don't need a defined roadmap to do your best work\n\n - Are excited to be in San Francisco for the duration of the program, fully embedded in the team\n\n - Are drawn to the idea of building a research culture, not just participating in one\n \n \n\nWHY BASE LABS?\n\n - 1:1 by design. Three fellows, three mentors. You will not get lost.\n\n - Real stakes. Your research feeds directly into decisions about what Baseten builds and what workloads it pursues. The line from your work to the product is short.\n\n - A founding moment. We are building Base Labs from scratch. The first cohort shapes what it becomes the culture, the research agenda, the brand.\n\n - Full support. Housing, meals, travel, and compute are all handled. We remove every barrier between you and the work.\n\n - A clear path forward. Top performers are considered for a full-time role.\n\nNOTE: The benefits listed below are only applicable to full-time hires.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"5a1c6228-3906-4ccc-9988-d9bd67383b9d","title":"Field Productivity & Enablement Lead","department":"GTM","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-24T14:56:38.769+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/5a1c6228-3906-4ccc-9988-d9bd67383b9d","applyUrl":"https://jobs.ashbyhq.com/baseten/5a1c6228-3906-4ccc-9988-d9bd67383b9d/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
The Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits.
This is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently.
We're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells.
You'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers.
Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team.
Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Help turn the sales process into something managers and reps can actually use, and make sure CRM and tooling reinforce the process instead of creating workarounds.
Cross-functional engagement. Clarify how sales engages FDE, solutions architects, product, marketing, and customer support. Define the handoffs, decision points, and joint working models that help teams support customers without confusion or duplicated effort.
Methodology, skills, and training. Help codify the sales methodology and build the training behind it. Deliver enablement sessions, coach managers and reps, and raise the quality of qualification, deal progression, and account planning over time.
Behavior change and adoption. Make the work stick. Measure whether the process is being used, where managers or reps are getting stuck, and what needs to change to improve ramp time, pipeline quality, forecast accuracy, and win rates.
You know what good sales execution looks like and can translate that into a system other people can follow. You can move from diagnosing a broken forecast call, to redesigning a stage framework, to standing in front of a room and teaching managers how to run a better pipeline review.
You bring credibility with sales leaders, managers, and reps because you've seen how strong sales teams operate and you know how to make process useful instead of bureaucratic. You are structured, practical, and comfortable driving change across functions.
Strong candidates may come from a mix of backgrounds such as:
A former AE or sales leader who has carried a quota, managed teams, and later moved into enablement, strategy, or operations.
A sales enablement or sales effectiveness leader with strong experience in methodology, manager training, and curriculum design.
A RevOps or sales strategy professional with deep process rigor and a strong point of view on pipeline, qualification, and inspection.
A management consulting or sales transformation background with experience building operating models and driving adoption in fast-growing teams.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nThe Field Productivity & Enablement Lead is responsible for making our sales motion clear, practical, and repeatable. This person will help define how we sell at Baseten: how managers run the business, how reps qualify and advance deals, how sales works with FDE, product, marketing, and support, and how those expectations get turned into training and day-to-day habits.\n\nThis is a senior individual contributor role for someone who excels at both strategy and execution. You'll shape the system, but you won't stop at slides or frameworks. You'll build the playbooks, run the training, coach to the behaviors, and help managers ensure the process is followed consistently.\n\nWe're not looking for someone who wants to force-fit a single methodology onto the business. We're looking for someone who is fluent in MEDDIC/MEDDPICC, Command of the Message, Challenger, and similar approaches, and can take the best ideas from each, adapt them to a technical sales motion, and build an approach that fits how Baseten actually sells.\n\nYou'll report to the Head of Enablement and Productivity. Frontline managers and reps are your primary customers.\n\n\n\n\nRESPONSIBILITIES\n\n - Manage operating model. Define the core rhythms for frontline managers, including 1:1s, forecast calls, pipeline reviews, deal reviews, and coaching cadences. Create clear expectations for how managers inspect deals, coach reps, and drive consistency across the team.\n\n - Sales process and stage design. Partner with sales leadership and RevOps to define stages, exit criteria, qualification standards, and pipeline mechanics. Help turn the sales process into something managers and reps can actually use, and make sure CRM and tooling reinforce the process instead of creating workarounds.\n\n - Cross-functional engagement. Clarify how sales engages FDE, solutions architects, product, marketing, and customer support. Define the handoffs, decision points, and joint working models that help teams support customers without confusion or duplicated effort.\n\n - Methodology, skills, and training. Help codify the sales methodology and build the training behind it. Deliver enablement sessions, coach managers and reps, and raise the quality of qualification, deal progression, and account planning over time.\n\n - Behavior change and adoption. Make the work stick. Measure whether the process is being used, where managers or reps are getting stuck, and what needs to change to improve ramp time, pipeline quality, forecast accuracy, and win rates.\n\n\nREQUIREMENTS\n\nYou know what good sales execution looks like and can translate that into a system other people can follow. You can move from diagnosing a broken forecast call, to redesigning a stage framework, to standing in front of a room and teaching managers how to run a better pipeline review.\n\nYou bring credibility with sales leaders, managers, and reps because you've seen how strong sales teams operate and you know how to make process useful instead of bureaucratic. You are structured, practical, and comfortable driving change across functions.\n\nStrong candidates may come from a mix of backgrounds such as:\n\n - A former AE or sales leader who has carried a quota, managed teams, and later moved into enablement, strategy, or operations.\n\n - A sales enablement or sales effectiveness leader with strong experience in methodology, manager training, and curriculum design.\n\n - A RevOps or sales strategy professional with deep process rigor and a strong point of view on pipeline, qualification, and inspection.\n\n - A management consulting or sales transformation background with experience building operating models and driving adoption in fast-growing teams.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"6111c4a1-4e29-4fb8-aca3-1c8c8e0cbfb1","title":"Customer Marketing Manager ","department":"GTM","team":"Marketing","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-12T17:36:14.120+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/6111c4a1-4e29-4fb8-aca3-1c8c8e0cbfb1","applyUrl":"https://jobs.ashbyhq.com/baseten/6111c4a1-4e29-4fb8-aca3-1c8c8e0cbfb1/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're looking for a Customer Marketing Manager who can own the full customer evidence motion at Baseten: building the systems that capture customer stories, running the co-marketing programs that amplify them, and developing the channels and assets that get those stories in front of the right people.
Our customers are ML engineers and AI teams deploying serious workloads — and the stories they tell about what they've built matter. We've earned trust with some of the most demanding technical teams in the industry, and this role exists to turn that trust into evidence.
RESPONSIBILITIES
Co-Marketing Execution
Serve as the DRI for every customer co-marketing launch end to end — managing timelines, coordinating internal and external stakeholders, and driving the process from first outreach to final publication
Own the single source of truth for what's in flight across all customer co-marketing activity
Coordinate with design, social, and sales to ensure every asset is built, approved, and distributed correctly
Customer Evidence & Asset Library
Own the customer evidence library: written case studies, video stories, customer quote repository, logo library, and sales snippets ensuring all assets stay current and are tagged and accessible for sales and marketing use
Run the monthly operating rhythm: new logo additions from closed-won opportunities, asset updates, and customer health checks
Programs & Channels
Identify and develop new co-marketing opportunities across the full bill of materials — blog posts, joint webinars, press releases, social content, video series, event appearances, and more
Stand up a Customer Advisory Board (CAB) program
Build a structured customer reference program
REQUIREMENTS
6+ years in customer marketing, product marketing, or a closely related function
Demonstrated track record building customer advocacy programs for technical audiences or at early-stage companies
Strong ability to craft narratives that resonate with developers while articulating clear business value
Experience producing a range of content formats: written case studies, video testimonials, technical blog posts, social content
Comfort engaging directly with technical audiences — you understand developer workflows, tools, and priorities well enough to be credible in the room
Excellent at making complex technical concepts accessible across different audiences and formats
Deeply organized and naturally process-oriented — you build systems, not just outputs
Thrives in ambiguous, fast-moving environments where the programs you're running don't exist yet and you're the one building them
Proactive and detail-obsessed, with a low tolerance for assets that are out of date or processes that only live in someone's head
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe're looking for a Customer Marketing Manager who can own the full customer evidence motion at Baseten: building the systems that capture customer stories, running the co-marketing programs that amplify them, and developing the channels and assets that get those stories in front of the right people.\n\nOur customers are ML engineers and AI teams deploying serious workloads — and the stories they tell about what they've built matter. We've earned trust with some of the most demanding technical teams in the industry, and this role exists to turn that trust into evidence.\n\n\n\nRESPONSIBILITIES\n\nCo-Marketing Execution\n\n - Serve as the DRI for every customer co-marketing launch end to end — managing timelines, coordinating internal and external stakeholders, and driving the process from first outreach to final publication\n\n - Own the single source of truth for what's in flight across all customer co-marketing activity\n\n - Coordinate with design, social, and sales to ensure every asset is built, approved, and distributed correctly\n\nCustomer Evidence & Asset Library\n\n - Own the customer evidence library: written case studies, video stories, customer quote repository, logo library, and sales snippets ensuring all assets stay current and are tagged and accessible for sales and marketing use\n\n - Run the monthly operating rhythm: new logo additions from closed-won opportunities, asset updates, and customer health checks\n\nPrograms & Channels\n\n - Identify and develop new co-marketing opportunities across the full bill of materials — blog posts, joint webinars, press releases, social content, video series, event appearances, and more\n\n - Stand up a Customer Advisory Board (CAB) program\n\n - Build a structured customer reference program\n\n\n\nREQUIREMENTS\n\n - 6+ years in customer marketing, product marketing, or a closely related function\n\n - Demonstrated track record building customer advocacy programs for technical audiences or at early-stage companies\n\n - Strong ability to craft narratives that resonate with developers while articulating clear business value\n\n - Experience producing a range of content formats: written case studies, video testimonials, technical blog posts, social content\n\n - Comfort engaging directly with technical audiences — you understand developer workflows, tools, and priorities well enough to be credible in the room\n\n - Excellent at making complex technical concepts accessible across different audiences and formats\n\n - Deeply organized and naturally process-oriented — you build systems, not just outputs\n\n - Thrives in ambiguous, fast-moving environments where the programs you're running don't exist yet and you're the one building them\n\n - Proactive and detail-obsessed, with a low tolerance for assets that are out of date or processes that only live in someone's head\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"68328a94-f785-463b-a3d7-b0dfc11839b5","title":"Post-Training Research Engineer","department":"EPD","team":"Post-Training","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-23T22:07:52.567+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/68328a94-f785-463b-a3d7-b0dfc11839b5","applyUrl":"https://jobs.ashbyhq.com/baseten/68328a94-f785-463b-a3d7-b0dfc11839b5/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
We are looking for an engineer with strong experience in machine learning and solid foundations in maths and computer science to join our growing Post-Training team at Baseten.
Custom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.
Your role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often if involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.
RECENT RESEARCH
We don’t have a rigid set of skills, but here’s some of what we’re looking for:
A deep understanding of modern ML techniques and tools for training transformers
Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar
A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism
The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library
The ability to perform roofline analysis on a transformer training setup
A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute
Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask
Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect
Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerisation, and networking protocols
A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nWe are looking for an engineer with strong experience in machine learning and solid foundations in maths and computer science to join our growing Post-Training team at Baseten.\n\n\n\nCustom models are instrumental to the success of Baseten customers. By inference volume, the overwhelming majority of traffic at Baseten is to and from models that have been post-trained in some way, whether that be through reinforcement learning, supervised finetuning, a recent technique from the literature, or an in-house research technique from Baseten. The Post-Training team is responsible for the success of our customers’ post-trained models, and we employ a wide array of techniques to produce models that are more efficient and higher quality than even the biggest closed source models for the customer’s specific needs.\n\n\n\nYour role as a research engineer is to build the in-house tooling to support all of this. We care about training a wide spectrum of different model architectures with a variety of techniques efficiently and at scale. At times this involves zooming deep into a particular technical topic, but more often if involves working across the stack as a whole - systems-level concepts like Kubernetes, cgroups, storage systems, and networking topologies, as well as PyTorch distributed tensor computation, and GPU kernels.\n\n\n\nRECENT RESEARCH\n\n - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/\n\n - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/\n\n - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/\n\nWe don’t have a rigid set of skills, but here’s some of what we’re looking for:\n\n - A deep understanding of modern ML techniques and tools for training transformers\n\n - Advanced experience in a tensor/array computation library like PyTorch, TensorFlow, Jax, or similar\n\n - A detailed understanding of transformer training parallelism strategies like data parallelism, sharded data parallelism, tensor parallelism, pipeline parallelism, context parallelism\n\n - The experience and knowledge to profile and improve the performance of a distributed GPU program in PyTorch or a similar library\n\n - The ability to perform roofline analysis on a transformer training setup\n\n - A willingness to dive into messy problems, work with researchers, derive specifications by asking important questions, and execute\n\n - Familiarity with HPC and distributed computing platforms like Slurm, Ray, Kubernetes, and Dask\n\n - Familiarity with cluster networking technology like Infiniband, RoCE, GPUDirect\n\n - Solid fundamentals in operating systems concepts like processes, files, kernel drivers, containerisation, and networking protocols\n\n - A sense of creativity and willingness to ask difficult questions about our approach, assumptions, and tooling choices\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"6d32aa11-ac93-4f90-8f62-bdeb79214ee5","title":"Analyst, Revenue Strategy & Operations","department":"GTM","team":"GTM","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-23T18:48:02.862+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/6d32aa11-ac93-4f90-8f62-bdeb79214ee5","applyUrl":"https://jobs.ashbyhq.com/baseten/6d32aa11-ac93-4f90-8f62-bdeb79214ee5/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
ABOUT THE ROLE
Baseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.
You'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.
This is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.
WHAT YOU'LL DO:
GTM Planning, Target Setting & Market Intelligence
Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting
Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning
Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating
Develop and maintain Baseten's segmentation logic — how we carve the market by industry, company profile, consumption potential, and AI maturity
Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities
Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data
Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve
Pipeline Generation & Forecast
Contribute to the design of the pipeline generation model — coverage ratios, qualified pipeline definitions, and input assumptions
Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct
Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes
Build and maintain the analytics layer that powers GTM decision-making — from pipeline dashboards to cohort analyses to efficiency metrics
Field Execution & Plan Refinement
Partner with the field to identify gaps in the business and develop structured plans to address them - supporting real time actions as well as insights to guide QBRs, pipeline reviews, etc.
Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan
Contribute to execution optimization projects — improving the sales process, post-sale journey, and conversion at key funnel stages
Close the loop between what's happening in the field and what needs to change in the plan
New Motions & Experimentation
Support the design and execution of structured experiments to test new GTM approaches — new segments, new channels, new acquisition or expansion motions
Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins
Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks
WHAT WE'RE LOOKING FOR:
Experience
4–6 years in GTM strategy, revenue operations, sales strategy, or a related function — ideally at a high-growth B2B SaaS or infrastructure company
Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention
Background at a company that has scaled through a Series B–D inflection point; you've seen what good looks like and know what breaks as you grow
Background in consulting and/or banking / finance a plus
Skills
Exceptional analytical chops — you can build a coverage model, a cohort analysis, and a board-ready forecast narrative, and you know which one the moment calls for
Strong business judgment — you don't just surface data, you tell people what it means and what to do about it
Structured thinker and clear communicator — you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience
Hands-on builder — comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data
Collaborative operating style — you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority
AI Fluency- You actively use AI tools to drive your own productivity — in how you analyze data, structure problems, draft communications, and accelerate your work
Mindset
Comfortable with ambiguity; you can define the problem before solving it
Bias toward action — you'd rather ship something good and iterate than wait for perfect
Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why
WHY BASETEN:
Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space
Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook
High ownership, high visibility, direct access to leadership
Competitive compensation, equity, and benefits
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nABOUT THE ROLE\n\nBaseten is building the infrastructure layer for AI — and we're now building the team that will scale how we take it to market. This is a foundational hire on our GTM Strategy & Revenue Operations team, sitting at the intersection of strategic planning and field execution.\n\n\n\nYou'll work directly with the CRO, Head of Revenue Operations and partner closely with Finance, field leadership, and our Central Ops team. On any given week, you might be refining our pipeline generation model, building a territory coverage analysis, designing a new GTM motion, or partnering with a regional leader to understand what's driving a trend in their pipeline. This role requires someone who can think rigorously, build things from scratch, and operate with speed and judgment in an environment where the playbook is still being written.\n\n\n\nThis is a rare opportunity to be an early GTM strategy and operations hire at one of the fastest-growing companies in AI infrastructure — and to help define how we scale.\n\n\n\nWHAT YOU'LL DO:\n\nGTM Planning, Target Setting & Market Intelligence\n\n - Contribute to the annual and quarterly GTM planning process in partnership with Finance, including headcount modeling, ramp assumptions, and revenue target-setting\n\n - Build and maintain coverage models aligned to 2-year growth projections, incorporating territory design, account segmentation, and capacity planning\n\n - Support quota framework development, helping translate top-down targets into field-level plans that are credible and motivating\n\n - Develop and maintain Baseten's segmentation logic — how we carve the market by industry, company profile, consumption potential, and AI maturity\n\n - Contribute a point of view on competitive dynamics, regional expansion priorities, and whitespace opportunities\n\n - Partner with Central Ops on ICP and TAM database strategy to ensure segmentation is grounded in clean, enriched data\n\n - Translate data into a clear business narrative for leadership and the field; democratize insights so the revenue org can self-serve\n\nPipeline Generation & Forecast\n\n - Contribute to the design of the pipeline generation model — coverage ratios, qualified pipeline definitions, and input assumptions\n\n - Support the PG cadence: track actuals vs. model, surface gaps early, and partner with field leadership to course-correct\n\n - Play an active role in the weekly forecast process, helping build the business narrative that connects leading indicators to revenue outcomes\n\n - Build and maintain the analytics layer that powers GTM decision-making — from pipeline dashboards to cohort analyses to efficiency metrics\n\nField Execution & Plan Refinement\n\n - Partner with the field to identify gaps in the business and develop structured plans to address them - supporting real time actions as well as insights to guide QBRs, pipeline reviews, etc.\n\n - Analyze regional pipeline health, win/loss trends, and rep productivity to proactively surface insights that feed back into refining the GTM plan\n\n - Contribute to execution optimization projects — improving the sales process, post-sale journey, and conversion at key funnel stages\n\n - Close the loop between what's happening in the field and what needs to change in the plan\n\nNew Motions & Experimentation\n\n - Support the design and execution of structured experiments to test new GTM approaches — new segments, new channels, new acquisition or expansion motions\n\n - Help build the measurement framework to evaluate what's working and create a clear path to scaling what wins\n\n - Partner with RevOps and Central Ops to operationalize successful experiments into repeatable playbooks\n\n\n\nWHAT WE'RE LOOKING FOR:\n\nExperience\n\n - 4–6 years in GTM strategy, revenue operations, sales strategy, or a related function — ideally at a high-growth B2B SaaS or infrastructure company\n\n - Experience with consumption-based or usage-based business models strongly preferred; you understand the difference between ARR and revenue, and how to think about drawdown, expansion, and net retention\n\n - Background at a company that has scaled through a Series B–D inflection point; you've seen what good looks like and know what breaks as you grow\n\n - Background in consulting and/or banking / finance a plus\n\nSkills\n\n - Exceptional analytical chops — you can build a coverage model, a cohort analysis, and a board-ready forecast narrative, and you know which one the moment calls for\n\n - Strong business judgment — you don't just surface data, you tell people what it means and what to do about it\n\n - Structured thinker and clear communicator — you can take a complex GTM problem, break it down, and present a crisp recommendation to a senior audience\n\n - Hands-on builder — comfortable working in AI coding tools, spreadsheets, BI tools, SQL, and CRM systems; you don't wait for someone else to pull the data\n\n - Collaborative operating style — you work across functions (Finance, field leadership, Central Ops, Enablement) and know how to get things done without formal authority\n\n - AI Fluency- You actively use AI tools to drive your own productivity — in how you analyze data, structure problems, draft communications, and accelerate your work\n\nMindset\n\n - Comfortable with ambiguity; you can define the problem before solving it\n\n - Bias toward action — you'd rather ship something good and iterate than wait for perfect\n\n - Curious about the AI infrastructure market; you want to understand what we sell, who buys it, and why\n \n \n\nWHY BASETEN:\n\n - Be a foundational member of the GTM team at one of the most important companies in the AI infrastructure space\n\n - Work on problems that are genuinely hard and genuinely new — consumption-based GTM at AI scale doesn't have an existing playbook\n\n - High ownership, high visibility, direct access to leadership\n\n - Competitive compensation, equity, and benefits\n \n \n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"6e396eb7-acb3-436a-89ec-05e755c477f2","title":"Software Engineer - Voice AI (Inference Runtime)","department":"EPD","team":"Voice AI","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-04-23T23:48:25.544+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/6e396eb7-acb3-436a-89ec-05e755c477f2","applyUrl":"https://jobs.ashbyhq.com/baseten/6e396eb7-acb3-436a-89ec-05e755c477f2/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
Voice is becoming the internet’s next interface, but a production-grade Voice AI system is \"hard to build\". You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries.
This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI.
EXAMPLE INITIATIVES:
Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations.
Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs.
Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development.
Past projects:
RESPONSIBILITIES:
Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations.
Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments
Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area
Mentor teammates through code reviews, design docs, and technical leadership.
REQUIREMENTS:
Bachelor's degree or higher in Computer Science or related field
Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.
Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.
Good taste in product, particularly developer-oriented tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill.
NICE TO HAVE:
Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements.
Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products.
Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.
Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)
Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX).
Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues
Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\n\nVoice is becoming the internet’s next interface, but a production-grade Voice AI system is \"hard to build\" https://greylock.com/greymatter/voice-agents-easy-to-use-hard-to-build/. You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries.\n\n\n\nThis is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI.\n\n\n\nEXAMPLE INITIATIVES:\n\n - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations.\n\n - Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs.\n\n - Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development.\n\n - Past projects:\n \n - The world's fastest Whisper — with streaming and diarization https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/\n \n - Canopy Labs selects Baseten for Orpheus TTS inference https://www.baseten.co/blog/canopy-labs-selects-baseten-as-preferred-inference-provider-for-orpheus-tts-model/\n \n \n\nRESPONSIBILITIES:\n\n - Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations.\n\n - Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments\n\n - Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area\n\n - Mentor teammates through code reviews, design docs, and technical leadership.\n \n \n\nREQUIREMENTS:\n\n - Bachelor's degree or higher in Computer Science or related field\n\n - Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters.\n\n - Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus.\n\n - Good taste in product, particularly developer-oriented tools\n\n - Interest in ML/AI infrastructure and willingness to learn\n\n - Strong collaboration and communication skills\n\n - Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill.\n \n \n\nNICE TO HAVE:\n\n - Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements.\n\n - Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products.\n\n - Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling.\n\n - Familiarity with speech/audio ML models (STT, TTS, speech-to-speech)\n\n - Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX).\n\n - Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues\n\n - Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"6f947409-2bc0-491a-81b3-507cdc95df85","title":"Software Engineer - Training Infrastructure","department":"EPD","team":"Training Platform","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-08-29T20:39:32.193+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/6f947409-2bc0-491a-81b3-507cdc95df85","applyUrl":"https://jobs.ashbyhq.com/baseten/6f947409-2bc0-491a-81b3-507cdc95df85/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack
EXAMPLE INITIATIVES
Take a look at what we’ve built so far:
RESPONSIBILITIES
Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking)
Partner closely with developers and research engineers to translate complex training requirements into technical solutions
Design and architect a global training scheduler
Design and architect reinforcement learning systems and continuous learning pipelines
Drive long-term improvements to improve reliability of systems and velocity of development
Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure
Make critical architectural decisions balancing performance with system reliability
Lead technical discussions and mentor junior engineers on infrastructure best practices
Contribute to long-term technical strategy and infrastructure roadmap
REQUIREMENTS
Bachelor’s degree or high in Computer Science or related field
Proficiency in Go, with Python experience a plus
Deep expertise with Kubernetes in production environments
Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus
Advanced understanding of distributed systems concepts and performance tuning
Proven experience designing observability systems
Experience with ML/AI workloads and MLOps platforms highly valued
NICE TO HAVE
Experience with distributed storage systems
Experience with workload orchestration platforms like Temporal or Airflow
Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainier) and distributed training techniques (FSDP, DeepSpeed).
Experience developing AI products, tooling, or agents
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Software Engineer at on the Training Infrastructure team, you'll architect and lead development of our training platform, supporting top tier research engineers and model developers. You'll make key technical decisions for the infrastructure enabling developers to deploy, scale, and monitor their workloads with high performance and reliability. You’ll own scheduling, storage, networking, reliability, and observability of technical systems in the training stack\n\n\n\nEXAMPLE INITIATIVES\n\nTake a look at what we’ve built so far:\n\n - Overview of the product so far https://www.baseten.co/blog/baseten-training-is-ga/#training-is-now-ga\n\n - Training docs overview https://docs.baseten.co/training/overview\n\n - Story of the Training product https://www.baseten.co/blog/a-q-a-from-inference-to-training-the-inside-story-of-baseten-s-newest-product/\n\n - Research we've done https://www.baseten.co/resources/research/\n \n \n\nRESPONSIBILITIES\n\n - Design and architect scalable infrastructure systems for our ML training platform (e.g. scheduling, storage, and networking)\n\n - Partner closely with developers and research engineers to translate complex training requirements into technical solutions\n\n - Design and architect a global training scheduler\n\n - Design and architect reinforcement learning systems and continuous learning pipelines\n\n - Drive long-term improvements to improve reliability of systems and velocity of development\n\n - Partner closely with SRE and Capacity teams to unlock state of the art training infrastructure\n\n - Make critical architectural decisions balancing performance with system reliability\n\n - Lead technical discussions and mentor junior engineers on infrastructure best practices\n\n - Contribute to long-term technical strategy and infrastructure roadmap\n \n \n\nREQUIREMENTS\n\n - Bachelor’s degree or high in Computer Science or related field\n\n - Proficiency in Go, with Python experience a plus\n\n - Deep expertise with Kubernetes in production environments\n\n - Extensive experience with major cloud providers (AWS, GCP) and neo-cloud providers (Crusoe, DigitalOcean, Nebius) a plus\n\n - Advanced understanding of distributed systems concepts and performance tuning\n\n - Proven experience designing observability systems\n\n - Experience with ML/AI workloads and MLOps platforms highly valued\n \n \n\nNICE TO HAVE\n\n - Experience with distributed storage systems\n\n - Experience with workload orchestration platforms like Temporal or Airflow\n\n - Familiarity or experience with the open source training stack and frameworks (NCCL, PyTorch, Megatron, NemoRL, VeRL, Axolotl, HF Trainier) and distributed training techniques (FSDP, DeepSpeed).\n\n - Experience developing AI products, tooling, or agents\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"71a011b6-0f17-4c0a-b0ba-38deffce1adb","title":"Strategic Finance Associate / Sr. Associate","department":"G&A","team":"G&A","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-08T18:26:02.827+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/71a011b6-0f17-4c0a-b0ba-38deffce1adb","applyUrl":"https://jobs.ashbyhq.com/baseten/71a011b6-0f17-4c0a-b0ba-38deffce1adb/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
We’re looking for a high-performing strategic finance professional to join our growing Finance team. This role is ideal for someone with 3 - 4 years of experience across investment banking, venture capital, private equity and/or strategic finance who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience in strategic finance is a plus, but not required.
You’ll work closely with Finance leadership and partner cross-functionally across the Finance leadership team.
Support company-wide financial planning, forecasting, and budgeting processes
Build and maintain operating and financial models across revenue, infrastructure costs, hiring, and strategic initiatives
Help prepare board materials, investor updates, and fundraising analyses
Partner with business leaders to evaluate investments, acquisitions, pricing, growth initiatives, and operational tradeoffs
Analyze consumption and infrastructure metrics including ARR, gross margin, usage trends, retention, and efficiency metrics
Drive ad hoc strategic projects including market analysis and scenario planning
Improve financial reporting processes, dashboards, and operational rigor as the company scales
Act as key data and modeling lead on reporting and analysis
Assist with finance operations, procurement, and vendor management as needed
Work cross-functionally to turn ambiguous business questions into actionable insights
3 - 4 years of experience across investment banking, venture capital, private equity, and/or strategic finance
Strong financial modeling and analytical skills
Ability to synthesize complex information into clear recommendations for executives
Comfortable operating as a generalist in a fast-moving environment
Strong attention to detail with a bias toward ownership and execution
Excellent communication and presentation skills
High intellectual curiosity and interest in AI / infrastructure / developer tooling
Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus
Experience in AI/ML, cloud infrastructure, or SaaS
Familiarity with usage-based business models
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\nTHE ROLE\n\nWe’re looking for a high-performing strategic finance professional to join our growing Finance team. This role is ideal for someone with 3 - 4 years of experience across investment banking, venture capital, private equity and/or strategic finance who wants broad exposure to company-building inside a fast-scaling AI infrastructure company. Experience in strategic finance is a plus, but not required.\n\n \n\nYou’ll work closely with Finance leadership and partner cross-functionally across the Finance leadership team.\n\n \n\n\nTHE RESPONSIBILITIES\n\n - Support company-wide financial planning, forecasting, and budgeting processes\n\n - Build and maintain operating and financial models across revenue, infrastructure costs, hiring, and strategic initiatives\n\n - Help prepare board materials, investor updates, and fundraising analyses\n\n - Partner with business leaders to evaluate investments, acquisitions, pricing, growth initiatives, and operational tradeoffs\n\n - Analyze consumption and infrastructure metrics including ARR, gross margin, usage trends, retention, and efficiency metrics\n\n - Drive ad hoc strategic projects including market analysis and scenario planning\n\n - Improve financial reporting processes, dashboards, and operational rigor as the company scales\n\n - Act as key data and modeling lead on reporting and analysis\n\n - Assist with finance operations, procurement, and vendor management as needed\n\n - Work cross-functionally to turn ambiguous business questions into actionable insights\n\n\nTHE REQUIREMENTS\n\n - 3 - 4 years of experience across investment banking, venture capital, private equity, and/or strategic finance\n\n - Strong financial modeling and analytical skills\n\n - Ability to synthesize complex information into clear recommendations for executives\n\n - Comfortable operating as a generalist in a fast-moving environment\n\n - Strong attention to detail with a bias toward ownership and execution\n\n - Excellent communication and presentation skills\n\n - High intellectual curiosity and interest in AI / infrastructure / developer tooling\n\n - Advanced Excel / Google Sheets skills; familiarity with SQL or BI tools is a plus\n\n\nSTRONG CANDIDATES MAY ALSO HAVE\n\n - Experience in AI/ML, cloud infrastructure, or SaaS\n\n - Familiarity with usage-based business models\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"75d7beac-0298-40fa-b206-2e0c0c08a64f","title":"Software Engineer, Model Performance Systems","department":"EPD","team":"Model Performance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-01-07T02:00:15.259+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/75d7beac-0298-40fa-b206-2e0c0c08a64f","applyUrl":"https://jobs.ashbyhq.com/baseten/75d7beac-0298-40fa-b206-2e0c0c08a64f/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE OPPORTUNITY
We are looking for early-career Software Engineers to join our team. This is a specialized role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will be responsible for building the automated \"speedometer and diagnostic\" suite for our next-generation AI infrastructure.
In this role, you won’t just be using models; you will be tearing them apart to see how they run on the metal. You will build tools that measure GPU FLOPS, stress-test InfiniBand clusters, and define the benchmarks that ensure our systems are production-ready.
RESPONSIBILITIES
Performance Benchmarking: Run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse).
Infrastructure Validation: Create automated acceptance tests for new GPU clusters across x86 and ARM systems, measuring GPU memory bandwidth, networking throughput, and multi-node networking performance.
Model Dev Experience: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance \"dev machines\" optimized for model experimentation.
Tool Development: Build and contribute to tools such as InferenceMAX and genai-bench to automate model evaluation and optimization.
Deep Hardware Profiling: Use PyTorch Profiler and NVIDIA Nsight Systems to collect performance profiles, identify bottlenecks, and debug the NVIDIA compute/networking stack.
Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.
Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions in model setups before they hit production.
Optimization Automation: Build tools to find the \"Pareto frontier\"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.
WHAT WE'RE LOOKING FOR
This is a fresher-friendly role. We care more about your trajectory, curiosity, and technical depth than your years of experience. We want to talk to you if you have:
A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.
An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the \"breaking point\" of a system.
Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.
Interest in Optimization: You are excited to learn about (or already play with) quantization, speculative decoding, disaggregated serving, and kernel-level optimizations.
Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.
WHY THIS ROLE
Direct Impact: Your tools will be the gatekeeper for what defines \"good\" performance for our customers.
Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.
High Ownership: As a small team of freshers led by experts, you will have the autonomy to build tools from scratch and contribute to open-source projects.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE OPPORTUNITY\n\nWe are looking for early-career Software Engineers to join our team. This is a specialized role sitting at the intersection of high-performance computing (HPC) and Large Language Model (LLM) engineering. You will be responsible for building the automated \"speedometer and diagnostic\" suite for our next-generation AI infrastructure.\n\nIn this role, you won’t just be using models; you will be tearing them apart to see how they run on the metal. You will build tools that measure GPU FLOPS, stress-test InfiniBand clusters, and define the benchmarks that ensure our systems are production-ready.\n\n\n\nRESPONSIBILITIES\n\n - Performance Benchmarking: Run and automate standard LLM quality benchmarks (GSM8K, MMLU) alongside custom performance suites for specific workloads (e.g., long-context window, KV cache reuse).\n\n - Infrastructure Validation: Create automated acceptance tests for new GPU clusters across x86 and ARM systems, measuring GPU memory bandwidth, networking throughput, and multi-node networking performance.\n\n - Model Dev Experience: Develop and maintain internal GPU-enabled development environments (similar to GitHub Codespaces). You will ensure the team has seamless, high-performance \"dev machines\" optimized for model experimentation.\n\n - Tool Development: Build and contribute to tools such as InferenceMAX and genai-bench to automate model evaluation and optimization.\n\n - Deep Hardware Profiling: Use PyTorch Profiler and NVIDIA Nsight Systems to collect performance profiles, identify bottlenecks, and debug the NVIDIA compute/networking stack.\n\n - Monitoring & Observability: Develop real-time dashboards and alerts to monitor system health, model startup times, and runtime performance.\n\n - Continuous Integration: Automate performance testing via CI/CD pipelines to catch regressions in model setups before they hit production.\n\n - Optimization Automation: Build tools to find the \"Pareto frontier\"—identifying the absolute best configuration (latency vs. cost vs. quality) for a given model and workload.\n \n \n\nWHAT WE'RE LOOKING FOR\n\nThis is a fresher-friendly role. We care more about your trajectory, curiosity, and technical depth than your years of experience. We want to talk to you if you have:\n\n - A Love for Systems & Hardware: You aren’t just interested in the AI; you want to understand GPU memory subsystems, InfiniBand, and how data moves across a cluster.\n\n - An Automation Mindset: You believe that if a task has to be done twice, it should be scripted. You have a passion for stress-testing and fuzzy testing to find the \"breaking point\" of a system.\n\n - Mathematical Curiosity: A desire to understand the underlying math of Transformers and how it translates into FLOPs and memory requirements.\n\n - Interest in Optimization: You are excited to learn about (or already play with) quantization, speculative decoding, disaggregated serving, and kernel-level optimizations.\n\n - Technical Toolkit: Familiarity with Python, and an eagerness to master the NVIDIA software stack. C++ familiarity is good to have.\n \n \n\nWHY THIS ROLE\n\n - Direct Impact: Your tools will be the gatekeeper for what defines \"good\" performance for our customers.\n\n - Deep Learning (Literally): You will gain world-class expertise in GPU orchestration and LLM inference that few engineers in the industry possess.\n\n - High Ownership: As a small team of freshers led by experts, you will have the autonomy to build tools from scratch and contribute to open-source projects.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"75d81d67-465a-4d65-9745-d1c06b0c7aec","title":"Account Executive - Enterprise ","department":"GTM","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-08T16:23:19.618+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/75d81d67-465a-4d65-9745-d1c06b0c7aec","applyUrl":"https://jobs.ashbyhq.com/baseten/75d81d67-465a-4d65-9745-d1c06b0c7aec/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re looking for an Enterprise Account Executive to help build and scale Baseten’s Enterprise go-to-market motion. You’ll own new business in verticals where AI adoption is accelerating but the stakes—and the buying processes—are uniquely complex: financial services, healthcare and life sciences, insurance, government, and similar industries with rigorous compliance requirements and multi-layered procurement.
This is a high-autonomy role where you’ll contribute directly to our Enterprise GTM strategy—identifying new use cases within your verticals, winning lighthouse customers that become references for their industries, and feeding signal back to product and engineering to shape our roadmap. You’ll work alongside Baseten’s founders, forward-deployed engineering team, and GTM leadership.
WHAT YOU’LL DO
Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals
Drive new logo acquisition and strategic expansion within key accounts, prioritizing organizations that can serve as lighthouse customers within their industries
Become a trusted advisor to customers—understand their unique infrastructure needs, co-innovate on solutions, and lead with conviction by providing clear recommendations grounded in deep industry expertise
Partner with Baseten’s forward-deployed engineers to run technical evaluations, POCs, and architecture reviews that earn customer confidence
Collaborate cross-functionally with Product, Engineering, Legal, and Marketing to bring new solutions to market, develop sales collateral, and refine go-to-market tactics for industry verticals
Continuously share learnings with the broader team—what’s working, what’s blocking deals, and best practices for selling into complex organizations
WHAT WE’RE LOOKING FOR
8+ years of enterprise B2B sales experience in technology, preferably selling infrastructure, API/platform solutions, or developer tooling into large, complex organizations
A track record of managing complex sales cycles and closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and crafting tailored solutions
Experience selling into at least one of: financial services, healthcare/life sciences, insurance, government, or similarly regulated industries
Strong technical acumen - you have experience ramping into highly technical sales environments, and will be able to get comfortable holding your own in conversations about model serving, GPU infra, latency and API architecture.
A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities
Excellent communication skills and the ability to build trusted relationships from ICs to C-level executives
A roll-up-your-sleeves mentality and comfort with high autonomy in a fast-moving environment where the playbook is still being written
NICE TO HAVE
Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re looking for an Enterprise Account Executive to help build and scale Baseten’s Enterprise go-to-market motion. You’ll own new business in verticals where AI adoption is accelerating but the stakes—and the buying processes—are uniquely complex: financial services, healthcare and life sciences, insurance, government, and similar industries with rigorous compliance requirements and multi-layered procurement.\n\nThis is a high-autonomy role where you’ll contribute directly to our Enterprise GTM strategy—identifying new use cases within your verticals, winning lighthouse customers that become references for their industries, and feeding signal back to product and engineering to shape our roadmap. You’ll work alongside Baseten’s founders, forward-deployed engineering team, and GTM leadership.\n\nWHAT YOU’LL DO\n\n - Own a revenue target and all aspects of the sales cycle from prospecting to close, including outbounding and engaging Tier 1 accounts in your assigned verticals\n\n - Drive new logo acquisition and strategic expansion within key accounts, prioritizing organizations that can serve as lighthouse customers within their industries\n\n - Become a trusted advisor to customers—understand their unique infrastructure needs, co-innovate on solutions, and lead with conviction by providing clear recommendations grounded in deep industry expertise\n\n - Partner with Baseten’s forward-deployed engineers to run technical evaluations, POCs, and architecture reviews that earn customer confidence\n\n - Collaborate cross-functionally with Product, Engineering, Legal, and Marketing to bring new solutions to market, develop sales collateral, and refine go-to-market tactics for industry verticals\n\n - Continuously share learnings with the broader team—what’s working, what’s blocking deals, and best practices for selling into complex organizations\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of enterprise B2B sales experience in technology, preferably selling infrastructure, API/platform solutions, or developer tooling into large, complex organizations\n\n - A track record of managing complex sales cycles and closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and crafting tailored solutions\n\n - Experience selling into at least one of: financial services, healthcare/life sciences, insurance, government, or similarly regulated industries\n\n - Strong technical acumen - you have experience ramping into highly technical sales environments, and will be able to get comfortable holding your own in conversations about model serving, GPU infra, latency and API architecture.\n\n - A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities\n\n - Excellent communication skills and the ability to build trusted relationships from ICs to C-level executives\n\n - A roll-up-your-sleeves mentality and comfort with high autonomy in a fast-moving environment where the playbook is still being written\n\nNICE TO HAVE\n\n - Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"7c9d2bb0-ac03-4a3c-86c3-cf720cd314e8","title":"Post-Training Research Scientist","department":"EPD","team":"Post-Training","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-17T16:55:37.691+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/7c9d2bb0-ac03-4a3c-86c3-cf720cd314e8","applyUrl":"https://jobs.ashbyhq.com/baseten/7c9d2bb0-ac03-4a3c-86c3-cf720cd314e8/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
This role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.
A meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.
We are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.
RECENT RESEARCH
Towards infinite context windows: neural KV cache compaction
Distillation without the dark – replicating black-box on-policy distillation on Baseten
RESPONSIBILITIES
Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.
Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).
Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.
Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.
Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.
Mentor junior researchers and shape the technical direction of the research organization as it grows.
PREFERRED QUALIFICATIONS
Master’s or PhD research depth in machine learning, with first-author publications at top venues
Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work
Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built
Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years
Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)
Track record of open-source contributions or community building in ML research
OUR VIEW ON TALENT
Many of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nThis role sits at the frontier of our research agenda. You will pursue open problems at the intersection of post-training methodology and performant inference, and then collaborate with research engineering to translate findings into production systems.\n\nA meaningful portion of your time will be dedicated to research that deepens our understanding of how models learn, alignment, and architectural efficiency — questions that may not have immediate product application. The remainder will be directed toward research that solves concrete problems for Baseten's platform and customers, who are the fastest growing AI companies in the world like Cursor, Lovable, and Notion.\n\nWe are looking for someone with sharp research taste and genuine creative instinct for problem selection. Someone who can identify questions that matter, design clean experiments to answer them, and push the state of the art. The environment here is not theoretical, but rather research that can be validated with eager customers who are serving billions of tokens a second.\n\n\n\nRECENT RESEARCH\n\n - Towards infinite context windows: neural KV cache compaction https://www.baseten.co/research/towards-infinite-context-windows-neural-kv-cache-compaction/\n\n - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/\n\n - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/\n\n - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/\n \n \n\nRESPONSIBILITIES\n\n - Define and pursue a research agenda spanning both foundational and applied work, with the applied component connected to Baseten's platform and customer needs.\n\n - Design and execute rigorous experiments, frequently at meaningful scale (multi-node, trillion parameter models).\n\n - Work with customers to translate domain-specific requirements into research problems, where relevant to your agenda.\n\n - Publish at top venues (NeurIPS, ICML, ICLR) and establish Baseten's research presence.\n\n - Collaborate with model performance and training infrastructure teams to bridge research findings and inference production systems.\n\n - Mentor junior researchers and shape the technical direction of the research organization as it grows.\n \n \n\nPREFERRED QUALIFICATIONS\n\n - Master’s or PhD research depth in machine learning, with first-author publications at top venues\n\n - Demonstrated ability to move from theory through implementation to empirical results — not exclusively theoretical or exclusively engineering work\n\n - Judgment about problem selection, the ability to distinguish research that advances a metric from research that changes how systems are built\n\n - Willingness to operate in a startup environment where the majority of research informs product decisions, with timelines measured in months rather than years\n\n - Background spanning multiple research areas (e.g., both interpretability and RL, or both systems and training methodology)\n\n - Track record of open-source contributions or community building in ML research\n \n \n\nOUR VIEW ON TALENT\n\nMany of the labs that exist today run a credentialist talent model. Concentrate the most already-legible researchers, and assume the concentration compounds. The best researchers in this field are very often not yet legible. Research engineers who have spent years inside a production stack and developed insights no PhD program teaches; PhDs working on the wrong-shaped problem at the right-shaped lab; operators who have been close to real systems long enough to see things credentialed researchers have never had to see. If you don’t have the traditional qualifications and are doing exceptional work, we’d love to chat.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"7d9d5a1f-3834-434e-b22f-4bd62317be3c","title":"Technical Program Manager, Infrastructure","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-10T01:04:24.882+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/7d9d5a1f-3834-434e-b22f-4bd62317be3c","applyUrl":"https://jobs.ashbyhq.com/baseten/7d9d5a1f-3834-434e-b22f-4bd62317be3c/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
At Baseten, we’re looking for a Technical Program Manager to drive our most complex, cross-cutting infrastructure programs. This role will operate across all domains of AI infrastructure, from the GPUs up to the multi-cluster orchestration layer.
This is an execution-first role. The work is less about owning a single system and more about imposing order on ambiguity: standing up the right structures, driving decisions to closure, and making sure nothing falls through the cracks across dozens of stakeholders. If you take satisfaction in turning a chaotic, half-defined initiative into a predictable, well-governed program, this role is for you.
RESPONSIBILITIES
Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises.
Drive process across infrastructure. Establish and run the operating rhythms that keep programs healthy: planning cadences, status reporting, decision logs, risk reviews, and escalation paths. Make the process light enough that teams adopt it and rigorous enough that it actually works.
Help managers build the right structures. Partner with engineering managers and leads to design the team structures, ownership boundaries, and working models a program needs to succeed. Spot gaps in accountability before they become problems.
Own follow-ups relentlessly. Be the person who tracks every open item, owns the action register, and closes loops. Drive decisions and unblockers to resolution rather than letting them drift.
Create clarity from ambiguity. Take loosely defined goals and turn them into scoped, sequenced, resourced plans with clear owners and measurable milestones.
Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates.
Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp status that lets busy people make fast decisions.
REQUIREMENTS
3+ years of technical program management experience, with a track record of delivering large, cross-team infrastructure or platform programs.
Demonstrated ownership of complex migrations or comparable multi-domain initiatives from inception through completion.
Strong execution discipline: you build the structures, cadences, and tracking that keep programs on the rails, and you hold the line on follow-through.
Comfort operating across multiple infrastructure domains. You don't need to be the deepest expert in any one, but you can engage credibly with engineers on compute, storage, networking, and data.
Proven ability to influence without authority, aligning teams and managers who don't report to you around shared plans and commitments.
Excellent written and verbal communication; you can make complex, technical programs legible to any audience.
A bias toward closure: you're uncomfortable with open loops and you drive things to done.
NICE-TO-HAVES
Experience designing team structures or operating models alongside engineering leadership.
Experience with AI models, their use, and how they operate at the infrastructure level.
Background in or exposure to software engineering, SRE, or infrastructure operations.
Familiarity with the tooling that supports program execution at scale (e.g., issue tracking, planning, and reporting systems).
WHAT SUCCESS LOOKS LIKE
In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room.
Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAt Baseten, we’re looking for a Technical Program Manager to drive our most complex, cross-cutting infrastructure programs. This role will operate across all domains of AI infrastructure, from the GPUs up to the multi-cluster orchestration layer.\n\nThis is an execution-first role. The work is less about owning a single system and more about imposing order on ambiguity: standing up the right structures, driving decisions to closure, and making sure nothing falls through the cracks across dozens of stakeholders. If you take satisfaction in turning a chaotic, half-defined initiative into a predictable, well-governed program, this role is for you.\n\n\n\nRESPONSIBILITIES\n\n - Own complex migrations end to end. Lead large-scale infrastructure migrations across teams and domains. This will involve scoping the work, sequencing dependencies, managing risk, and driving them to completion without surprises.\n\n - Drive process across infrastructure. Establish and run the operating rhythms that keep programs healthy: planning cadences, status reporting, decision logs, risk reviews, and escalation paths. Make the process light enough that teams adopt it and rigorous enough that it actually works.\n\n - Help managers build the right structures. Partner with engineering managers and leads to design the team structures, ownership boundaries, and working models a program needs to succeed. Spot gaps in accountability before they become problems.\n\n - Own follow-ups relentlessly. Be the person who tracks every open item, owns the action register, and closes loops. Drive decisions and unblockers to resolution rather than letting them drift.\n\n - Create clarity from ambiguity. Take loosely defined goals and turn them into scoped, sequenced, resourced plans with clear owners and measurable milestones.\n\n - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates.\n\n - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp status that lets busy people make fast decisions.\n \n \n\nREQUIREMENTS\n\n - 3+ years of technical program management experience, with a track record of delivering large, cross-team infrastructure or platform programs.\n\n - Demonstrated ownership of complex migrations or comparable multi-domain initiatives from inception through completion.\n\n - Strong execution discipline: you build the structures, cadences, and tracking that keep programs on the rails, and you hold the line on follow-through.\n\n - Comfort operating across multiple infrastructure domains. You don't need to be the deepest expert in any one, but you can engage credibly with engineers on compute, storage, networking, and data.\n\n - Proven ability to influence without authority, aligning teams and managers who don't report to you around shared plans and commitments.\n\n - Excellent written and verbal communication; you can make complex, technical programs legible to any audience.\n\n - A bias toward closure: you're uncomfortable with open loops and you drive things to done.\n \n \n\nNICE-TO-HAVES\n\n - Experience designing team structures or operating models alongside engineering leadership.\n\n - Experience with AI models, their use, and how they operate at the infrastructure level.\n\n - Background in or exposure to software engineering, SRE, or infrastructure operations.\n\n - Familiarity with the tooling that supports program execution at scale (e.g., issue tracking, planning, and reporting systems).\n \n \n\nWHAT SUCCESS LOOKS LIKE\n\n - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room.\n\n - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"844e2c96-690a-4365-9822-f092ffa03944","title":"Infrastructure Ops Engineer","department":"G&A","team":"Compute","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-10T02:59:18.432+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/844e2c96-690a-4365-9822-f092ffa03944","applyUrl":"https://jobs.ashbyhq.com/baseten/844e2c96-690a-4365-9822-f092ffa03944/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Infrastructure Ops Engineer at Baseten, you are the operational engine of our global infrastructure. You will sit at the intersection of technical customer success and infrastructure engineering, partnering closely with our SRE and FDE teams to execute the complex hardware lifecycles that power our fleet
This role is designed for high-energy, detail-oriented individuals who thrive on technical coordination and operational excellence. You aren't just managing clusters; you are acting as the technical glue between our customers' needs and our hardware reality, ensuring that high-level capacity strategies are translated into boots-on-the-ground results.
While you will be hands-on with Kubernetes and cloud-native tools, your success is measured by your ability to project-manage the resolution of capacity puzzles, ensuring our platform remains reliable, observable, and ready for the next massive AI deployment.
EXAMPLE INITIATIVES
The \"Lost Node\" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity
Regional Compliance Guard: Auditing and correcting scheduling policies to ensure customer data stays within specified geographical constraints (e.g., EU-only vs US-only)
High-Stakes Maintenance Orchestration: Coordinating critical maintenance cycles both externally (with vendors) and internally (with Baseten SREs) to evacuate workloads from unhealthy nodes and integrate replacement hardware with zero customer disruption
RESPONSIBILITIES
Fleet Maintenance: Manage daily node operations including tainting/untainting, node draining, and PVC repairs to ensure GPU fleet health and operational cost control
GTM & Capacity Fulfillment: Partner with Sales and account teams to scope and fulfill customer capacity requests, translating complex timelines into concrete infrastructure actions and clear ETAs
Process & Observability Engineering: Identify recurring gaps in the capacity lifecycle (intake, triage, comms) and drive fixes by defining lightweight processes and improving system observability
Technical Orchestration: Act as the operational bridge between SRE and Infra teams, executing discrete changes and verifying system status during high-stakes maintenance windows
Technical Documentation: Contribute to the internal knowledge base for GPU-specific issues (H100/A100/B200) to accelerate future incident resolution
Automation & Tooling: Identify repetitive workflows and partner with engineering to build scripts, dashboards, and internal tools that reduce manual intervention and shorten time-to-mitigation
Knowledge Excellence: Maintain a living database of GPU-specific intelligence (H100/B200) and market moves to accelerate incident resolution and support strategic briefings for leadership
REQUIREMENTS
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
2+ years of professional work experience, ideally in a customer-facing technical role or as a junior SRE/Cloud Engineer
Strong familiarity with Kubernetes and the lifecycle of cloud-based container orchestration
Strong ownership mindset and attention to detail, demonstrated through fast detection, clear communication, and reliable follow-through
Demonstrated ability to communicate complex technical blockers clearly to both internal engineering teams and external vendors
Preference for SF or NYC-based candidates to foster a close-knit \"family\" atmosphere in the office
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Infrastructure Ops Engineer at Baseten, you are the operational engine of our global infrastructure. You will sit at the intersection of technical customer success and infrastructure engineering, partnering closely with our SRE and FDE teams to execute the complex hardware lifecycles that power our fleet\n\nThis role is designed for high-energy, detail-oriented individuals who thrive on technical coordination and operational excellence. You aren't just managing clusters; you are acting as the technical glue between our customers' needs and our hardware reality, ensuring that high-level capacity strategies are translated into boots-on-the-ground results.\n\nWhile you will be hands-on with Kubernetes and cloud-native tools, your success is measured by your ability to project-manage the resolution of capacity puzzles, ensuring our platform remains reliable, observable, and ready for the next massive AI deployment.\n\nEXAMPLE INITIATIVES\n\n - The \"Lost Node\" Investigation: Debugging cluster-level blockers to solve why pods aren't scheduling despite available capacity\n\n - Regional Compliance Guard: Auditing and correcting scheduling policies to ensure customer data stays within specified geographical constraints (e.g., EU-only vs US-only)\n\n - High-Stakes Maintenance Orchestration: Coordinating critical maintenance cycles both externally (with vendors) and internally (with Baseten SREs) to evacuate workloads from unhealthy nodes and integrate replacement hardware with zero customer disruption\n\nRESPONSIBILITIES\n\n - Fleet Maintenance: Manage daily node operations including tainting/untainting, node draining, and PVC repairs to ensure GPU fleet health and operational cost control\n\n - GTM & Capacity Fulfillment: Partner with Sales and account teams to scope and fulfill customer capacity requests, translating complex timelines into concrete infrastructure actions and clear ETAs\n\n - Process & Observability Engineering: Identify recurring gaps in the capacity lifecycle (intake, triage, comms) and drive fixes by defining lightweight processes and improving system observability\n\n - Technical Orchestration: Act as the operational bridge between SRE and Infra teams, executing discrete changes and verifying system status during high-stakes maintenance windows\n\n - Technical Documentation: Contribute to the internal knowledge base for GPU-specific issues (H100/A100/B200) to accelerate future incident resolution\n\n - Automation & Tooling: Identify repetitive workflows and partner with engineering to build scripts, dashboards, and internal tools that reduce manual intervention and shorten time-to-mitigation\n\n - Knowledge Excellence: Maintain a living database of GPU-specific intelligence (H100/B200) and market moves to accelerate incident resolution and support strategic briefings for leadership\n\nREQUIREMENTS\n\n - Bachelor's or Master's degree in Computer Science, Engineering, or a related field\n\n - 2+ years of professional work experience, ideally in a customer-facing technical role or as a junior SRE/Cloud Engineer\n\n - Strong familiarity with Kubernetes and the lifecycle of cloud-based container orchestration\n\n - Strong ownership mindset and attention to detail, demonstrated through fast detection, clear communication, and reliable follow-through\n\n - Demonstrated ability to communicate complex technical blockers clearly to both internal engineering teams and external vendors\n\n - Preference for SF or NYC-based candidates to foster a close-knit \"family\" atmosphere in the office\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"84c1801c-1a65-49fb-aaaa-beeafd530e7e","title":"Forward Deployed Engineer","department":"EPD","team":"FDE Generalists","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2024-03-28T21:00:55.921+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/84c1801c-1a65-49fb-aaaa-beeafd530e7e","applyUrl":"https://jobs.ashbyhq.com/baseten/84c1801c-1a65-49fb-aaaa-beeafd530e7e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.
This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.
To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
2+ years of professional work experience in a fast-paced, high-growth environment.
Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
Strong communication skills, particularly on complex technical topics.
Experience in building or optimizing AI/ML projects is highly valued.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Forward Deployed Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.\n\nThis role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.\n\nTo be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.\n\n\n\nEXAMPLE INITIATIVES\n\nTake a look at these blog posts written by members of our Forward Deployed Engineering team:\n\n - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/\n\n - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/\n\n - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/\n\n - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/\n\n\nRESPONSIBILITIES\n\n - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.\n\n - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.\n\n - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers\n\n - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.\n\n - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.\n\n - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.\n\n - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.\n \n \n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.\n\n - 2+ years of professional work experience in a fast-paced, high-growth environment.\n\n - Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.\n\n - Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.\n\n - Strong communication skills, particularly on complex technical topics.\n\n - Experience in building or optimizing AI/ML projects is highly valued.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"85144b67-3a53-4fc3-ab4b-fb7f2c4f3c7a","title":"Engineering","department":"EPD","team":"Kernels","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-09T19:47:33.714+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/85144b67-3a53-4fc3-ab4b-fb7f2c4f3c7a","applyUrl":"https://jobs.ashbyhq.com/baseten/85144b67-3a53-4fc3-ab4b-fb7f2c4f3c7a/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
We're looking for an Engineering Manager to lead our GPU Kernel Engineering team, the group responsible for writing the low-level CUDA code that makes Baseten's inference stack faster than anyone else's. This is a player-coach role for someone who has spent years hands-on writing kernels and is now ready to multiply their impact by leading a team of elite GPU engineers.
You'll own the technical direction of a team working at the intersection of GPU architecture, ML systems, and production inference. Your engineers write CUDA kernels for GEMMs, attention mechanisms, and MoE routing, optimize at the warp and tensor-core level, and ship improvements that directly reduce latency and cost for the AI companies running their most critical workloads on Baseten.
This role is not for someone who wants to step away from the technical work. You'll be close enough to the code to credibly review it, set direction, and unblock your team, while also building the processes, culture, and roadmap that let a world-class kernel team operate at its best.
Your team owns work like:
Team Leadership
Lead, grow, and mentor a team of GPU kernel engineers; own hiring, performance, and career development
Set technical direction for the kernel roadmap, balancing short-term inference wins with long-term architectural investments
Partner closely with the Chief Scientist, VP Engineering, and peer engineering leads to align kernel work with Baseten's broader inference stack strategy
Drive cross-functional collaboration between the kernel team and Model Performance, Capacity, and Infrastructure teams
Technical Direction
Establish and maintain a high technical bar for kernel quality, performance, and correctness across the team's output
Review kernel designs and implementations with enough depth to give meaningful feedback on GPU architecture decisions, memory hierarchy tradeoffs, and optimization strategies
Guide the team's approach to profiling and bottleneck identification using tools like Nsight Systems, Nsight Compute, and Torch Profiler
Stay current on the NVIDIA GPU ecosystem (Hopper, Blackwell, and beyond) and translate architectural advancements into team priorities
Execution & Culture
Build the processes that allow a highly technical, distributed team to ship with velocity and rigor
Represent the kernel team's work to senior leadership and external audiences including industry conferences
Contribute to Baseten's open-source GPU library presence and technical brand
Proven experience leading a team of GPU or ML systems engineers, with a track record of hiring and developing strong technical talent
Deep personal background in GPU kernel engineering. You have written and shipped production CUDA kernels and can credibly engage with your team's work at a technical level
Strong understanding of GPU architecture fundamentals: memory hierarchy, warp execution, tensor cores, occupancy tradeoffs, and profiling methodology
Experience with NVIDIA GPU architectures (Hopper or Blackwell preferred) and the CUDA ecosystem
Demonstrated ability to set technical direction, prioritize a roadmap, and communicate clearly across engineering and leadership
Hands-on experience with Triton, CUTLASS, or CuTe DSL
Background in LLM inference kernels: attention variants, GEMMs, quantization (FP8/FP4), MoE routing
Open-source contributions to GPU libraries or inference frameworks
Experience presenting technical work at NVIDIA GTC, MLSys, or similar venues
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\nTHE ROLE\n\nWe're looking for an Engineering Manager to lead our GPU Kernel Engineering team, the group responsible for writing the low-level CUDA code that makes Baseten's inference stack faster than anyone else's. This is a player-coach role for someone who has spent years hands-on writing kernels and is now ready to multiply their impact by leading a team of elite GPU engineers.\n\n\n\nYou'll own the technical direction of a team working at the intersection of GPU architecture, ML systems, and production inference. Your engineers write CUDA kernels for GEMMs, attention mechanisms, and MoE routing, optimize at the warp and tensor-core level, and ship improvements that directly reduce latency and cost for the AI companies running their most critical workloads on Baseten.\n\n\n\nThis role is not for someone who wants to step away from the technical work. You'll be close enough to the code to credibly review it, set direction, and unblock your team, while also building the processes, culture, and roadmap that let a world-class kernel team operate at its best.\n\n\n\n\nEXAMPLE INITIATIVES\n\nYour team owns work like:\n\n - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/\n\n - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/\n\n - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/\n\n\n\n\nRESPONSIBILITIES\n\nTeam Leadership\n\n - Lead, grow, and mentor a team of GPU kernel engineers; own hiring, performance, and career development\n\n - Set technical direction for the kernel roadmap, balancing short-term inference wins with long-term architectural investments\n\n - Partner closely with the Chief Scientist, VP Engineering, and peer engineering leads to align kernel work with Baseten's broader inference stack strategy\n\n - Drive cross-functional collaboration between the kernel team and Model Performance, Capacity, and Infrastructure teams\n\n\n\nTechnical Direction\n\n - Establish and maintain a high technical bar for kernel quality, performance, and correctness across the team's output\n\n - Review kernel designs and implementations with enough depth to give meaningful feedback on GPU architecture decisions, memory hierarchy tradeoffs, and optimization strategies\n\n - Guide the team's approach to profiling and bottleneck identification using tools like Nsight Systems, Nsight Compute, and Torch Profiler\n\n - Stay current on the NVIDIA GPU ecosystem (Hopper, Blackwell, and beyond) and translate architectural advancements into team priorities\n\n\n\nExecution & Culture\n\n - Build the processes that allow a highly technical, distributed team to ship with velocity and rigor\n\n - Represent the kernel team's work to senior leadership and external audiences including industry conferences\n\n - Contribute to Baseten's open-source GPU library presence and technical brand\n\n\n\n\nREQUIREMENTS\n\n - Proven experience leading a team of GPU or ML systems engineers, with a track record of hiring and developing strong technical talent\n\n - Deep personal background in GPU kernel engineering. You have written and shipped production CUDA kernels and can credibly engage with your team's work at a technical level\n\n - Strong understanding of GPU architecture fundamentals: memory hierarchy, warp execution, tensor cores, occupancy tradeoffs, and profiling methodology\n\n - Experience with NVIDIA GPU architectures (Hopper or Blackwell preferred) and the CUDA ecosystem\n\n - Demonstrated ability to set technical direction, prioritize a roadmap, and communicate clearly across engineering and leadership\n\n\n\n\nNICE TO HAVE\n\n - Hands-on experience with Triton, CUTLASS, or CuTe DSL\n\n - Background in LLM inference kernels: attention variants, GEMMs, quantization (FP8/FP4), MoE routing\n\n - Open-source contributions to GPU libraries or inference frameworks\n\n - Experience presenting technical work at NVIDIA GTC, MLSys, or similar venues\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"8570f34d-edfe-4bc2-b2b1-eda37155eddb","title":"Data Center Network Engineer","department":"EPD","team":"Hardware Virtualization","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-21T22:17:40.355+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/8570f34d-edfe-4bc2-b2b1-eda37155eddb","applyUrl":"https://jobs.ashbyhq.com/baseten/8570f34d-edfe-4bc2-b2b1-eda37155eddb/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
As a Network Engineer (Data Centers) at Baseten, you’ll design and own the high-performance network infrastructure that powers our GPU clusters—from cluster fabric design to cabling architecture and performance validation.
This is a senior, hands-on role with scope to grow into technical leadership. You’ll operate at a staff level, owning key design decisions and execution while helping define how we build and scale data center networks.
Your work will directly impact model training and inference performance, and you’ll collaborate closely with hardware and platform teams to ensure high throughput, low latency, and reliable distributed systems.
EXAMPLE INITIATIVES
Cluster fabric design — Define InfiniBand or Ethernet-based architectures for GPU clusters.
Network deployment — Design spine-leaf topologies and rack-level connectivity.
Performance optimization — Tune network performance for distributed workloads.
RESPONSIBILITIES
Own end-to-end network architecture for data center clusters.
Define topology, redundancy, and performance characteristics.
Select switches, optics, and cabling systems.
Lead network bring-up, validation, and performance testing.
Partner with hardware and platform teams on system-level performance.
Define standards for deploying networks across sites.
Mentor and support future team members.
REQUIREMENTS
Experience designing and operating data center or HPC networks.
Strong familiarity with InfiniBand, RDMA, or high-performance Ethernet.
Strong hands-on skills in network configuration, debugging, and performance tuning.
Experience owning complex systems end-to-end at a senior level.
Experience leading technical projects or cross-functional efforts.
Prior leadership or mentoring experience is a plus.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nAs a Network Engineer (Data Centers) at Baseten, you’ll design and own the high-performance network infrastructure that powers our GPU clusters—from cluster fabric design to cabling architecture and performance validation.\n\nThis is a senior, hands-on role with scope to grow into technical leadership. You’ll operate at a staff level, owning key design decisions and execution while helping define how we build and scale data center networks.\n\nYour work will directly impact model training and inference performance, and you’ll collaborate closely with hardware and platform teams to ensure high throughput, low latency, and reliable distributed systems.\n\n\n\nEXAMPLE INITIATIVES\n\n - Cluster fabric design — Define InfiniBand or Ethernet-based architectures for GPU clusters.\n\n - Network deployment — Design spine-leaf topologies and rack-level connectivity.\n\n - Performance optimization — Tune network performance for distributed workloads.\n \n \n\nRESPONSIBILITIES\n\n - Own end-to-end network architecture for data center clusters.\n\n - Define topology, redundancy, and performance characteristics.\n\n - Select switches, optics, and cabling systems.\n\n - Lead network bring-up, validation, and performance testing.\n\n - Partner with hardware and platform teams on system-level performance.\n\n - Define standards for deploying networks across sites.\n\n - Mentor and support future team members.\n \n \n\nREQUIREMENTS\n\n - Experience designing and operating data center or HPC networks.\n\n - Strong familiarity with InfiniBand, RDMA, or high-performance Ethernet.\n\n - Strong hands-on skills in network configuration, debugging, and performance tuning.\n\n - Experience owning complex systems end-to-end at a senior level.\n\n - Experience leading technical projects or cross-functional efforts.\n\n - Prior leadership or mentoring experience is a plus.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"8608bdbc-1b8b-4b69-a433-83864f151375","title":"Account Executive - AI Native: Strategic","department":"GTM","team":"Strategic","employmentType":"FullTime","location":"New York","secondaryLocations":[],"publishedAt":"2025-09-02T19:10:51.919+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/8608bdbc-1b8b-4b69-a433-83864f151375","applyUrl":"https://jobs.ashbyhq.com/baseten/8608bdbc-1b8b-4b69-a433-83864f151375/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.
RESPONSIBILITIES
Help build the foundation and processes for customer-facing teams at Baseten
Lead, negotiate, and execute new sales opportunities for Baseten
In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets
Establish and maintain relationships with key stakeholders within sales accounts
Work cross-functionally to improve the customer experience and ensure sales effectiveness
REQUIREMENTS
5+ years of sales experience in a SaaS business
Experience in selling to technical audiences
Experience with developer/machine-learning tooling preferred, but not required
Proven ability to close complex sales cycles
Proficiency with sales and marketing automation tools
Interest in working at an early-stage, fast-paced startup
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.\n\n\n\nRESPONSIBILITIES\n\n - Help build the foundation and processes for customer-facing teams at Baseten\n\n - Lead, negotiate, and execute new sales opportunities for Baseten\n\n - In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets\n\n - Establish and maintain relationships with key stakeholders within sales accounts\n\n - Work cross-functionally to improve the customer experience and ensure sales effectiveness\n\n\n\nREQUIREMENTS\n\n - 5+ years of sales experience in a SaaS business\n\n - Experience in selling to technical audiences\n\n - Experience with developer/machine-learning tooling preferred, but not required\n\n - Proven ability to close complex sales cycles\n\n - Proficiency with sales and marketing automation tools\n\n - Interest in working at an early-stage, fast-paced startup\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"8cac65b1-f67c-4a5c-89b1-1f90ecdd4ddc","title":"Manager, Compensation","department":"G&A","team":"People Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-03-04T04:53:26.596+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/8cac65b1-f67c-4a5c-89b1-1f90ecdd4ddc","applyUrl":"https://jobs.ashbyhq.com/baseten/8cac65b1-f67c-4a5c-89b1-1f90ecdd4ddc/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Baseten is building for talent density. We believe attracting and retaining exceptional people, and ensuring they feel recognized and valued for their impact, is core to becoming the best place to work. Compensation is a critical lever in that mission.
As our Compensation Manager, you will own compensation programs company-wide. You’ll be a trusted advisor to senior leaders, shaping our compensation philosophy, leveling framework, and equity programs to ensure we remain competitive, principled, and performance-oriented as we scale. This role blends strategy and execution: designing clear, fair systems while moving quickly in a high-growth environment.
RESPONSIBILITIES
Own and evolve Baseten’s company-wide compensation strategy, philosophy, and programs.
Collaborate with leadership and HRBP to create and evolve job architecture and leveling frameworks.
Build and maintain compensation bands. Conduct regular market benchmarking to ensure comp bands and strategy remain competitive in a fast moving industry.
Partner closely with Talent to design and approve competitive new hire offers, advising on negotiation strategy within our compensation principles.
Lead bi-annual leveling and compensation review cycles to ensure market competitiveness and reward high performance across teams.
Manage new hire equity grants in partnership with Finance and Legal. Design and administer a thoughtful equity refresher program for tenured employees.
Oversee annual bonus planning and payouts, ensuring alignment with company performance and individual impact.
Partner with HRBPs and managers on compensation decisions related to promotions, retention, recognition, and off-cycle adjustments.
Select and optimize compensation tooling, ensuring data integrity, operational efficiency, and thoughtful use of automation.
REQUIREMENTS
7+ years of experience in compensation or total rewards, ideally within high-growth technology companies (Series D through IPO stage preferred).
Deep expertise in equity compensation, including stock options and RSUs, with experience designing and managing equity refresher programs.
Strong analytical rigor with advanced proficiency in Excel or Google Sheets, HRIS systems, and benchmarking tools
Proven experience designing and evolving salary bands, leveling frameworks, bonus plans, and variable or incentive compensation programs.
Comfortable leading companywide compensation and performance review cycles, including managing inputs from may stakeholders and calibrating across teams.
Ability to operate as both a strategic advisor to senior leadership and a hands-on builder of scalable, principled compensation systems.
High ownership and sound judgment in time-sensitive situations such as candidate negotiations, promotions, and retention decisions.
Exceptional communication skills, with the ability to clearly articulate compensation philosophy and influence cross-functional stakeholders.
Nice to have: Experience building and leading a team.
Nice to have: Experience owning benefits strategy and evaluating vendors, including healthcare funding models and 401(k) plan design.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nBaseten is building for talent density. We believe attracting and retaining exceptional people, and ensuring they feel recognized and valued for their impact, is core to becoming the best place to work. Compensation is a critical lever in that mission.\n\nAs our Compensation Manager, you will own compensation programs company-wide. You’ll be a trusted advisor to senior leaders, shaping our compensation philosophy, leveling framework, and equity programs to ensure we remain competitive, principled, and performance-oriented as we scale. This role blends strategy and execution: designing clear, fair systems while moving quickly in a high-growth environment.\n\n\n\nRESPONSIBILITIES\n\n - Own and evolve Baseten’s company-wide compensation strategy, philosophy, and programs.\n\n - Collaborate with leadership and HRBP to create and evolve job architecture and leveling frameworks.\n\n - Build and maintain compensation bands. Conduct regular market benchmarking to ensure comp bands and strategy remain competitive in a fast moving industry.\n\n - Partner closely with Talent to design and approve competitive new hire offers, advising on negotiation strategy within our compensation principles.\n\n - Lead bi-annual leveling and compensation review cycles to ensure market competitiveness and reward high performance across teams.\n\n - Manage new hire equity grants in partnership with Finance and Legal. Design and administer a thoughtful equity refresher program for tenured employees.\n\n - Oversee annual bonus planning and payouts, ensuring alignment with company performance and individual impact.\n\n - Partner with HRBPs and managers on compensation decisions related to promotions, retention, recognition, and off-cycle adjustments.\n\n - Select and optimize compensation tooling, ensuring data integrity, operational efficiency, and thoughtful use of automation.\n \n \n\nREQUIREMENTS\n\n - 7+ years of experience in compensation or total rewards, ideally within high-growth technology companies (Series D through IPO stage preferred).\n\n - Deep expertise in equity compensation, including stock options and RSUs, with experience designing and managing equity refresher programs.\n\n - Strong analytical rigor with advanced proficiency in Excel or Google Sheets, HRIS systems, and benchmarking tools\n\n - Proven experience designing and evolving salary bands, leveling frameworks, bonus plans, and variable or incentive compensation programs.\n\n - Comfortable leading companywide compensation and performance review cycles, including managing inputs from may stakeholders and calibrating across teams.\n\n - Ability to operate as both a strategic advisor to senior leadership and a hands-on builder of scalable, principled compensation systems.\n\n - High ownership and sound judgment in time-sensitive situations such as candidate negotiations, promotions, and retention decisions.\n\n - Exceptional communication skills, with the ability to clearly articulate compensation philosophy and influence cross-functional stakeholders.\n\n - Nice to have: Experience building and leading a team.\n\n - Nice to have: Experience owning benefits strategy and evaluating vendors, including healthcare funding models and 401(k) plan design.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"902a7ddb-c21f-4272-aaab-879680697986","title":"Software Engineer - Capacity","department":"EPD","team":"Internal Platform (Dev Tooling)","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-12T20:06:27.481+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/902a7ddb-c21f-4272-aaab-879680697986","applyUrl":"https://jobs.ashbyhq.com/baseten/902a7ddb-c21f-4272-aaab-879680697986/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Software Engineer on the Internal Tooling team, you will own the internal operating system that sits at the heart of how Baseten operates. Capacity helps unlock revenue by carefully balancing supply and demand. The operating system manages all aspects of the customer lifecycle: from onboarding to managing complex customer SLA requirements.
This role is for engineers who want to own a product end to end, not just implement tickets. You will work directly with the Capacity, Sales, and Engineering teams to understand requirements, define solutions, and ship software that removes friction from some of the most high-stakes workflows in the company. If something is slow, manual, or error-prone in the capacity fulfillment lifecycle, you will be the one to fix it.
You are a strong fit if you have strong product intuition, move fast without sacrificing quality, and take satisfaction in building tools that make the people around you measurably more effective.
RESPONSIBILITIES
Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders
Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences
Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services
Identify workflow bottlenecks and manual processes across the capacity lifecycle and drive their elimination through tooling
Instrument your work with observability and monitoring so issues surface before they become incidents
Partner with SRE and Infra teams to ensure Capacity reflects the operational reality of the fleet, not just the desired state
REQUIREMENTS
Bachelor's degree or higher in Computer Science or a related field
5+ years of software engineering experience, with meaningful time spent owning a product or internal platform end to end
Strong full-stack proficiency; experience with NextJS, Javascript, Postgres / Drizzle, Tailwind and AWS. Experience with SST.dev is a plus but not a requirement
Demonstrated ability to work directly with non-engineering stakeholders to understand requirements and translate them into product decisions
Experience building internal tooling, operational platforms, or developer infrastructure — particularly in high-growth or infra-heavy environments
High ownership mindset: you notice what is broken, you fix it, and you follow through
Interest in AI/ML infrastructure; familiarity with GPU infrastructure, or capacity planning is a meaningful plus
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Software Engineer on the Internal Tooling team, you will own the internal operating system that sits at the heart of how Baseten operates. Capacity helps unlock revenue by carefully balancing supply and demand. The operating system manages all aspects of the customer lifecycle: from onboarding to managing complex customer SLA requirements.\n\n\n\nThis role is for engineers who want to own a product end to end, not just implement tickets. You will work directly with the Capacity, Sales, and Engineering teams to understand requirements, define solutions, and ship software that removes friction from some of the most high-stakes workflows in the company. If something is slow, manual, or error-prone in the capacity fulfillment lifecycle, you will be the one to fix it.\n\n\n\nYou are a strong fit if you have strong product intuition, move fast without sacrificing quality, and take satisfaction in building tools that make the people around you measurably more effective.\n\n\n\nRESPONSIBILITIES\n\n - Own the Capacity product end to end: scoping, design, implementation, and iteration based on feedback from internal stakeholders\n\n - Translate complex operational requirements from Capacity, Sales, and SRE teams into clean, ergonomic product experiences\n\n - Build and maintain full-stack features across the Capacity toolchain, including UI surfaces, APIs, and backend services\n\n - Identify workflow bottlenecks and manual processes across the capacity lifecycle and drive their elimination through tooling\n\n - Instrument your work with observability and monitoring so issues surface before they become incidents\n\n - Partner with SRE and Infra teams to ensure Capacity reflects the operational reality of the fleet, not just the desired state\n\n\n\nREQUIREMENTS\n\n - Bachelor's degree or higher in Computer Science or a related field\n\n - 5+ years of software engineering experience, with meaningful time spent owning a product or internal platform end to end\n\n - Strong full-stack proficiency; experience with NextJS, Javascript, Postgres / Drizzle, Tailwind and AWS. Experience with SST.dev http://SST.dev is a plus but not a requirement\n\n - Demonstrated ability to work directly with non-engineering stakeholders to understand requirements and translate them into product decisions\n\n - Experience building internal tooling, operational platforms, or developer infrastructure — particularly in high-growth or infra-heavy environments\n\n - High ownership mindset: you notice what is broken, you fix it, and you follow through\n\n - Interest in AI/ML infrastructure; familiarity with GPU infrastructure, or capacity planning is a meaningful plus\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"90e9ff4e-1225-4b1b-b0b4-2362e36d9cfa","title":"Applied AI Inference Engineer","department":"EPD","team":"FDE Generalists","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-21T16:55:11.534+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/90e9ff4e-1225-4b1b-b0b4-2362e36d9cfa","applyUrl":"https://jobs.ashbyhq.com/baseten/90e9ff4e-1225-4b1b-b0b4-2362e36d9cfa/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Applied AI Inference Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.
This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.
To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.
EXAMPLE INITIATIVES
Take a look at these blog posts written by members of our Forward Deployed Engineering team:
RESPONSIBILITIES
Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.
Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.
Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers
Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.
Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
1+ years of professional work experience in a fast-paced, high-growth environment.
Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.
Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.
Strong communication skills, particularly on complex technical topics.
Experience in building or optimizing AI/ML projects is highly valued.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Applied AI Inference Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten’s platform. You’ll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes.\n\nThis role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations.\n\nTo be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in.\n\n\n\nEXAMPLE INITIATIVES\n\nTake a look at these blog posts written by members of our Forward Deployed Engineering team:\n\n - Forward Deployed Engineering on the frontier of AI https://www.baseten.co/blog/forward-deployed-engineering/\n\n - The fastest, most accurate Whisper transcription https://www.baseten.co/blog/the-fastest-most-accurate-and-cost-efficient-whisper-transcription/\n\n - Deploy production-ready model servers from Docker images https://www.baseten.co/blog/deploy-production-model-servers-from-docker-images/\n\n - Deploy custom ComfyUI workflows as APIs https://www.baseten.co/blog/deploying-custom-comfyui-workflows-as-apis/\n\n\nRESPONSIBILITIES\n\n - Develop and maintain software systems and product features using one or more general-purpose programming languages in a production-level environment, with a preference for Python due to its relevance in ML projects.\n\n - Drive customer impact by designing, implementing, and deploying Baseten solutions end-to-end (problem framing → evaluation → production deployment → monitoring). This involves working with customers’ engineering teams at every stage of the customer journey including: sales, implementation, and expansion.\n\n - Deliver with velocity: turn vague objectives into clear specs and well-defined PoCs so we can rapidly ship well-tested services and outcomes for our customers\n\n - Optimize and enhance AI/ML projects, contributing to the continuous improvement of our technical stack. This includes developing features and PRDs with other engineering and product orgs.\n\n - Own products and customer projects end-to-end, functioning as both an engineer, project manager, and product manager, with a focus on user empathy, project specification, and end-to-end execution.\n\n - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.\n\n - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.\n \n \n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.\n\n - 1+ years of professional work experience in a fast-paced, high-growth environment.\n\n - Demonstrated experience with one or more general-purpose programming languages in a production-level environment, with a strong preference for Python.\n\n - Familiarity with AI/ML pipelines and the lifecycle of ML model development and deployment.\n\n - Strong communication skills, particularly on complex technical topics.\n\n - Experience in building or optimizing AI/ML projects is highly valued.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"916e9d62-492a-4562-971f-3e97e3868392","title":"Cloud Platform Engineer","department":"EPD","team":"Cloud Platform","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2025-10-09T18:05:02.284+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/916e9d62-492a-4562-971f-3e97e3868392","applyUrl":"https://jobs.ashbyhq.com/baseten/916e9d62-492a-4562-971f-3e97e3868392/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.
We all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
RESPONSIBILITIES
Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.
Establish standards and best practices for reliability and performance across the infrastructure.
Automate processes when relevant, particularly for managing CI/CD pipelines.
Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.
Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.
Mentor junior team members and contribute to knowledge sharing within the organization.
Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.
Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
Extensive experience with Kubernetes.
Experience in building and maintaining scalable infrastructure.
Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).
Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.
Ability to own projects end-to-end, from project specification to execution.
No prior machine learning experience required, but should be open to learning about it.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Cloud Platform Engineer, you'll envision and build robust systems and processes that ensure our infrastructure is scalable, reliable, and efficient. This can range from automating deployments and monitoring systems to optimizing performance and managing incidents.\n\nWe all work closely with our users, learning from their past struggles in operationalizing ML, onboarding them onto our platform, and turning our learnings into ideas for improving Baseten.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Infrastructure team:\n\n - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/\n\n - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/\n\n - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/\n\n - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/\n\n\n\nRESPONSIBILITIES\n\n - Build and maintain scalable infrastructure to support the deployment and operation of machine learning models.\n\n - Establish standards and best practices for reliability and performance across the infrastructure.\n\n - Automate processes when relevant, particularly for managing CI/CD pipelines.\n\n - Own products and projects end-to-end, functioning as both an engineer and a project manager, with a focus on user empathy, project specification, and end-to-end execution.\n\n - Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.\n\n - Mentor junior team members and contribute to knowledge sharing within the organization.\n\n - Navigate ambiguity and exercise good judgment on tradeoffs and tools needed to solve problems, avoiding unnecessary complexity.\n\n - Demonstrate pride, ownership, and accountability for your work, expecting the same from your teammates.\n\n\n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.\n\n - Extensive experience with Kubernetes.\n\n - Experience in building and maintaining scalable infrastructure.\n\n - Experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Circle CI, Jenkins).\n\n - Relevant OSS observability experience (Prometheus, ELK stack, Grafana stack, Opentelemetry) is a plus.\n\n - Ability to own projects end-to-end, from project specification to execution.\n\n - No prior machine learning experience required, but should be open to learning about it.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"a0fd4d94-dfd7-4165-9cdd-25e3d31e25c4","title":"Content Engineer","department":"GTM","team":"Marketing","employmentType":"Contract","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-09T15:17:40.999+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/a0fd4d94-dfd7-4165-9cdd-25e3d31e25c4","applyUrl":"https://jobs.ashbyhq.com/baseten/a0fd4d94-dfd7-4165-9cdd-25e3d31e25c4/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
This is a 3-month contract-to-hire position, with the expectation of converting to full-time for the right candidate.
You’ll join a small team in Baseten spearheading how we show up natively in the AI era. You’ll contribute to our content strategy with a focus on identifying, experimenting, and executing written content in the highest leverage channels that can reach the strongest intent users.
This position will directly shape how we show up and present ourselves in front of developers with high intent of using open source and custom models.
This isn’t a traditional content or writing role. You’ll operate iteratively at the intersection of growth, product marketing, and community building. Ultimately, you’ll be creating and running the pipeline for generating high viewership content on external sites and define our playbook of how we approach discoverability in AI engines.
When applying, please submit a favorite piece of your own writing that is relevant to your work experience. This could be a blog post, technical tutorial, or related content. Your application will not be considered otherwise.
RESPONSIBILITIES
This is a primarily technical writing position—shipping new, unique, and high visibility content consistently will be the majority of your time.
Design and create automated research and content production workflows using agentic AI tools, reducing time-to-publish without sacrificing quality.
Find credible sites and information aggregators for our content to cast a wider net on distribution.
Identify topics that the Baseten ICP cares about via external and internal data.
Create data-informed long form content to solidify our authority in the inference space.
Codify latest SEO and AEO techniques and build automated pipelines to orient and optimize content.
REQUIREMENTS
Hands-on experience as a developer — at least one of Python, Javascript, SQL.
Experience or interest in working with GTM automation tools like Retool, Zapier, n8n, AirOps, etc.
Strong written and verbal communication skills; you can explain complex technical concepts in an interesting and compelling way.
You have strong thesis and POV on the topics that AI/ML engineers are curious about, and can credibly communicate tradeoffs within our stack.
Comfort with ambiguity and an extreme bias toward ownership.
Have an experimental and data-driven mindset; you set clear outcomes and iterate quickly based on a mix of signals and intuition.
You move fast, ship content, and iterate based on what you learn.
NICE TO HAVE
Experience with AI/ML infrastructure, inference platforms, or LLM tooling.
Background supporting open source developer tooling.
Prior work tinkering or experimenting with a range of open source frontier models.
Likes keeping up to date with the latest trends and news in AI to help us identify critical opportunities to impact the wider industry conversation.
Understanding of SEO/AEO best practices
Familiarity with using generative AI for topic research or content production
This position is a contract role, so it is not eligible for the below stated benefits during the duration of contract.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nThis is a 3-month contract-to-hire position, with the expectation of converting to full-time for the right candidate.\n\nYou’ll join a small team in Baseten spearheading how we show up natively in the AI era. You’ll contribute to our content strategy with a focus on identifying, experimenting, and executing written content in the highest leverage channels that can reach the strongest intent users.\n\nThis position will directly shape how we show up and present ourselves in front of developers with high intent of using open source and custom models.\n\nThis isn’t a traditional content or writing role. You’ll operate iteratively at the intersection of growth, product marketing, and community building. Ultimately, you’ll be creating and running the pipeline for generating high viewership content on external sites and define our playbook of how we approach discoverability in AI engines.\n\nWhen applying, please submit a favorite piece of your own writing that is relevant to your work experience. This could be a blog post, technical tutorial, or related content. Your application will not be considered otherwise.\n\n\n\nRESPONSIBILITIES\n\n - This is a primarily technical writing position—shipping new, unique, and high visibility content consistently will be the majority of your time.\n\n - Design and create automated research and content production workflows using agentic AI tools, reducing time-to-publish without sacrificing quality.\n\n - Find credible sites and information aggregators for our content to cast a wider net on distribution.\n\n - Identify topics that the Baseten ICP cares about via external and internal data.\n\n - Create data-informed long form content to solidify our authority in the inference space.\n\n - Codify latest SEO and AEO techniques and build automated pipelines to orient and optimize content.\n \n \n\nREQUIREMENTS\n\n - Hands-on experience as a developer — at least one of Python, Javascript, SQL.\n\n - Experience or interest in working with GTM automation tools like Retool, Zapier, n8n, AirOps, etc.\n\n - Strong written and verbal communication skills; you can explain complex technical concepts in an interesting and compelling way.\n\n - You have strong thesis and POV on the topics that AI/ML engineers are curious about, and can credibly communicate tradeoffs within our stack.\n\n - Comfort with ambiguity and an extreme bias toward ownership.\n\n - Have an experimental and data-driven mindset; you set clear outcomes and iterate quickly based on a mix of signals and intuition.\n\n - You move fast, ship content, and iterate based on what you learn.\n \n \n\nNICE TO HAVE\n\n - Experience with AI/ML infrastructure, inference platforms, or LLM tooling.\n\n - Background supporting open source developer tooling.\n\n - Prior work tinkering or experimenting with a range of open source frontier models.\n\n - Likes keeping up to date with the latest trends and news in AI to help us identify critical opportunities to impact the wider industry conversation.\n\n - Understanding of SEO/AEO best practices\n\n - Familiarity with using generative AI for topic research or content production\n\n\n\nThis position is a contract role, so it is not eligible for the below stated benefits during the duration of contract.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"a34233b9-d4ed-4a8a-b942-e16df27f8935","title":"Ecosystem Partnerships Product Marketings Manager","department":"G&A","team":"G&A","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-29T20:57:51.741+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/a34233b9-d4ed-4a8a-b942-e16df27f8935","applyUrl":"https://jobs.ashbyhq.com/baseten/a34233b9-d4ed-4a8a-b942-e16df27f8935/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
About the Role
We are seeking a technical, strategic and creative Partnerships Product Marketing Manager to drive the success of our ecosystem partners. In this role, you will work closely with our partnerships, product and engineering teams and with emerging technology companies to bring differentiated joint solutions to market.
You will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams.
Key Responsibilities
Partner Storytelling & Content
Develop compelling technical blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions.
Translate technical integrations into clear, differentiated messaging for both technical and business audiences.
Enablement & Training
Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions.
Create sales playbooks and battlecards tailored to each partner’s ecosystem.
Joint Go-to-Market Campaigns
Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities.
Manage partner marketing calendars and ensure alignment with key product milestones.
Cross-Functional Collaboration
Work closely with product marketing, product management, growth marketing, events and sales to align messaging and GTM initiatives.
Serve as the marketing point-of-contact for the partnerships team.
Qualifications
3-5 years of experience in product marketing, partner marketing, or related roles in B2B technology.
Track record of working with innovative and fast moving AI partners in joint go-to-market programs is a plus.
Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats.
Strong program management skills with the ability to handle multiple partners and campaigns simultaneously.
Technical curiosity and ability to quickly learn new technologies and ecosystems.
Comfortable working in a fast-paced, high-growth environment.
Preferred Skills
Familiarity with developer ecosystems, APIs, and modern software development practices.
Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nAbout the Role\n\nWe are seeking a technical, strategic and creative Partnerships Product Marketing Manager to drive the success of our ecosystem partners. In this role, you will work closely with our partnerships, product and engineering teams and with emerging technology companies to bring differentiated joint solutions to market.\n\nYou will be responsible for shaping partner narratives, creating impactful content, and enabling joint go-to-market programs that amplify our reach. The ideal candidate combines storytelling skills, technical acumen, and the ability to collaborate across partner and internal teams.\n\nKey Responsibilities\n\n - Partner Storytelling & Content\n \n - Develop compelling technical blog posts, white papers, solution briefs, and customer success stories highlighting the value of joint solutions.\n \n - Translate technical integrations into clear, differentiated messaging for both technical and business audiences.\n\n - Enablement & Training\n \n - Build and deliver enablement programs to arm partner sales teams with the tools, messaging, and collateral they need to position and sell our solutions.\n \n - Create sales playbooks and battlecards tailored to each partner’s ecosystem.\n\n - Joint Go-to-Market Campaigns\n \n - Plan and execute co-marketing campaigns with partners, including webinars, events, solution launches, and demand-generation activities.\n \n - Manage partner marketing calendars and ensure alignment with key product milestones.\n\n - Cross-Functional Collaboration\n \n - Work closely with product marketing, product management, growth marketing, events and sales to align messaging and GTM initiatives.\n \n - Serve as the marketing point-of-contact for the partnerships team.\n\nQualifications\n\n - 3-5 years of experience in product marketing, partner marketing, or related roles in B2B technology.\n\n - Track record of working with innovative and fast moving AI partners in joint go-to-market programs is a plus.\n\n - Exceptional written and verbal communication skills; ability to create high-quality content across multiple formats.\n\n - Strong program management skills with the ability to handle multiple partners and campaigns simultaneously.\n\n - Technical curiosity and ability to quickly learn new technologies and ecosystems.\n\n - Comfortable working in a fast-paced, high-growth environment.\n\nPreferred Skills\n\n - Familiarity with developer ecosystems, APIs, and modern software development practices.\n\n - Knowledge of AI/ML infrastructure, model serving, and performance optimization concepts.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"aae72bd3-6f75-4238-9741-95fec11facb9","title":"Engineering Manager, Runtime Fabric","department":"EPD","team":"Runtime Fabric","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-09T18:02:59.642+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/aae72bd3-6f75-4238-9741-95fec11facb9","applyUrl":"https://jobs.ashbyhq.com/baseten/aae72bd3-6f75-4238-9741-95fec11facb9/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Container runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.
Running large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far.
Baseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabrics team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers.
As Engineering Manager of the Runtime Fabrics team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large. If you've contributed to containerd, runc, or related OCI projects and are ready to lead a team solving some of the hardest problems in infrastructure today, we'd love to talk.
RESPONSIBILITIES
Team Leadership & Culture
Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.
Foster a culture of technical rigor, open-source contribution, and continuous improvement.
Provide regular coaching, feedback, and career development support to your direct reports.
Partner with engineering leadership to define the long-term vision and roadmap for container runtime and storage infrastructure.
Technical Direction
Guide the team in extending and hardening containerd, runc, and related OCI ecosystem projects to meet the GPU-specific requirements of production AI inference, including startup performance, GPU device access, and multi-tenant isolation.
Oversee the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery system that makes cold starts 2–3x faster and eliminates thundering herd failures during burst scaling events.
Drive the expansion of BDN's architecture, currently focused on model weights, to container images, training checkpoints, and deployment artifacts.
Provide technical oversight on GPU-aware isolation mechanisms for multi-tenant inference, including secure container runtimes, Linux namespace hardening, and longer-term micro-VM integration.
Ensure the team maintains end-to-end ownership of the container startup performance path, from snapshotter initialization through weight delivery to first inference request.
Champion the team's contributions back to the open-source containerd ecosystem alongside a team of core maintainers.
Cross-Functional Partnership
Act as the primary advocate for Runtime Fabrics across the organization, ensuring upstream and downstream teams have the integration support they need.
Collaborate with product and engineering stakeholders to prioritize investments based on business impact and infrastructure reliability.
Communicate team progress, technical trade-offs, and architectural decisions clearly to leadership.
REQUIREMENTS
Proven experience managing and growing engineering teams in a systems, infrastructure, or low-level runtime context.
Deep familiarity with the Linux container ecosystem: containerd, runc, OCI Runtime Spec, Linux namespaces, and cgroups, with the ability to engage credibly in code reviews and architectural discussions.
Contributions to containerd/containerd, opencontainers/runc, google/gvisor, kata-containers/kata-containers, or closely related open-source projects.
Strong systems programming background in Go and/or C/C++.
Experience with distributed storage systems, content-addressable storage, or large-scale caching infrastructure.
Understanding of how container images are structured, stored, and delivered at scale.
Strong written and verbal communication skills, with the ability to influence without authority across teams.
NICE TO HAVE
Experience with GPU device access in containers: NVIDIA Container Toolkit, CDI (Container Device Interface), or GPU-aware scheduling.
Familiarity with lazy-loading snapshotters (stargz, soci, EROFS/Nydus) or peer-to-peer image distribution.
Experience with secure container runtimes (gVisor, Sysbox) or micro-VM technologies (Firecracker, Cloud Hypervisor).
Understanding of containerd's shim API (v2) and experience building custom shim implementations.
Background in multi-tenant infrastructure or security-sensitive serving environments.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nContainer runtimes were designed for general-purpose software workloads. AI inference is not a general-purpose workload.\n\nRunning large models at production scale exposes cracks in every layer of the container stack: runtimes unaware of GPU memory constraints, images that take minutes to pull when a model needs to scale to thousands of replicas, and isolation mechanisms that weren't designed for the multi-tenant serving environments that production AI requires. The tools the industry has relied on for a decade weren't built for this, and patching around those limitations at higher layers only goes so far.\n\nBaseten owns the entire pipeline, from the moment a developer pushes a model to the moment a request gets a response. That vertical ownership means we can fix these problems at the root. The Runtime Fabrics team is doing exactly that: purpose-building the container runtime and storage layers for AI inference workloads, led by some of the world's top containerd maintainers.\n\nAs Engineering Manager of the Runtime Fabrics team, you will lead this work, setting technical direction, growing a world-class team of systems engineers, and ensuring the team's output shapes not just Baseten's infrastructure but the open-source container ecosystem at large. If you've contributed to containerd, runc, or related OCI projects and are ready to lead a team solving some of the hardest problems in infrastructure today, we'd love to talk.\n\n \n\nRESPONSIBILITIES\n\nTeam Leadership & Culture\n\n - Recruit, hire, and develop a high-performing team of systems engineers with deep container and Linux expertise.\n\n - Foster a culture of technical rigor, open-source contribution, and continuous improvement.\n\n - Provide regular coaching, feedback, and career development support to your direct reports.\n\n - Partner with engineering leadership to define the long-term vision and roadmap for container runtime and storage infrastructure.\n\nTechnical Direction\n\n - Guide the team in extending and hardening containerd, runc, and related OCI ecosystem projects to meet the GPU-specific requirements of production AI inference, including startup performance, GPU device access, and multi-tenant isolation.\n\n - Oversee the architecture and evolution of the Baseten Delivery Network: the tiered caching and weight delivery system that makes cold starts 2–3x faster and eliminates thundering herd failures during burst scaling events.\n\n - Drive the expansion of BDN's architecture, currently focused on model weights, to container images, training checkpoints, and deployment artifacts.\n\n - Provide technical oversight on GPU-aware isolation mechanisms for multi-tenant inference, including secure container runtimes, Linux namespace hardening, and longer-term micro-VM integration.\n\n - Ensure the team maintains end-to-end ownership of the container startup performance path, from snapshotter initialization through weight delivery to first inference request.\n\n - Champion the team's contributions back to the open-source containerd ecosystem alongside a team of core maintainers.\n\nCross-Functional Partnership\n\n - Act as the primary advocate for Runtime Fabrics across the organization, ensuring upstream and downstream teams have the integration support they need.\n\n - Collaborate with product and engineering stakeholders to prioritize investments based on business impact and infrastructure reliability.\n\n - Communicate team progress, technical trade-offs, and architectural decisions clearly to leadership.\n\n \n\nREQUIREMENTS\n\n - Proven experience managing and growing engineering teams in a systems, infrastructure, or low-level runtime context.\n\n - Deep familiarity with the Linux container ecosystem: containerd, runc, OCI Runtime Spec, Linux namespaces, and cgroups, with the ability to engage credibly in code reviews and architectural discussions.\n\n - Contributions to containerd/containerd, opencontainers/runc, google/gvisor, kata-containers/kata-containers, or closely related open-source projects.\n\n - Strong systems programming background in Go and/or C/C++.\n\n - Experience with distributed storage systems, content-addressable storage, or large-scale caching infrastructure.\n\n - Understanding of how container images are structured, stored, and delivered at scale.\n\n - Strong written and verbal communication skills, with the ability to influence without authority across teams.\n\n \n\nNICE TO HAVE\n\n - Experience with GPU device access in containers: NVIDIA Container Toolkit, CDI (Container Device Interface), or GPU-aware scheduling.\n\n - Familiarity with lazy-loading snapshotters (stargz, soci, EROFS/Nydus) or peer-to-peer image distribution.\n\n - Experience with secure container runtimes (gVisor, Sysbox) or micro-VM technologies (Firecracker, Cloud Hypervisor).\n\n - Understanding of containerd's shim API (v2) and experience building custom shim implementations.\n\n - Background in multi-tenant infrastructure or security-sensitive serving environments.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ae64d1d4-7b0a-4be4-8d77-7f5ce63849a7","title":"Software Engineer - Infrastructure","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2025-03-09T23:39:59.239+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ae64d1d4-7b0a-4be4-8d77-7f5ce63849a7","applyUrl":"https://jobs.ashbyhq.com/baseten/ae64d1d4-7b0a-4be4-8d77-7f5ce63849a7/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
RESPONSIBILITIES
Develop infrastructure components for our ML inference platform using Python and Go
Implement and maintain Kubernetes deployments for model serving
Contribute to our inference orchestration layer for model deployments
Build and enhance monitoring systems for model performance metrics
Implement efficient resource management solutions for ML workloads
Support infrastructure automation to improve ML deployment workflows
Work closely with team members to implement technical solutions
Help balance performance optimization with system reliability
Participate in technical discussions around infrastructure improvements
Learn and apply infrastructure best practices
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
Working knowledge of Kubernetes and containerization
Basic understanding of machine learning concepts and model serving
Familiarity with distributed systems concepts
Experience with basic monitoring and logging tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Infrastructure team:\n\n - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/\n\n - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/\n\n - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/\n\n - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/\n \n \n\nRESPONSIBILITIES\n\n - Develop infrastructure components for our ML inference platform using Python and Go\n\n - Implement and maintain Kubernetes deployments for model serving\n\n - Contribute to our inference orchestration layer for model deployments\n\n - Build and enhance monitoring systems for model performance metrics\n\n - Implement efficient resource management solutions for ML workloads\n\n - Support infrastructure automation to improve ML deployment workflows\n\n - Work closely with team members to implement technical solutions\n\n - Help balance performance optimization with system reliability\n\n - Participate in technical discussions around infrastructure improvements\n\n - Learn and apply infrastructure best practices\n\n\n\nREQUIREMENTS\n\n - Bachelor's degree or higher in Computer Science or related field\n\n - Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus\n\n - Working knowledge of Kubernetes and containerization\n\n - Basic understanding of machine learning concepts and model serving\n\n - Familiarity with distributed systems concepts\n\n - Experience with basic monitoring and logging tools\n\n - Interest in ML/AI infrastructure and willingness to learn\n\n - Strong collaboration and communication skills\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"b1b5ab31-f90c-41f9-b9f2-13408b1c072b","title":"Manager, Startup Sales","department":"GTM","team":"Startups","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-12-09T17:57:37.179+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/b1b5ab31-f90c-41f9-b9f2-13408b1c072b","applyUrl":"https://jobs.ashbyhq.com/baseten/b1b5ab31-f90c-41f9-b9f2-13408b1c072b/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are seeking a Sales Manager to help lead a team of Account Executives within our Startups segment. This hire will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers.
RESPONSIBILITIES
Lead and mentor a team of Startups Account Executives to consistently exceed pipeline and revenue goals.
Help define and execution on go-to-market strategy for our fastest growing customer segment.
Hire and scale the team by recruiting, interviewing, and onboarding top talent
Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap.
Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers.
Foster a culture of accountability, learning, and collaboration within the sales team.
REQUIREMENTS
4+ years of closing sales experience, with 2+ years in management leading high-performing teams.
Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms.
Comfortable operating in the weeds with technical products and guiding reps through complex deals.
Proven track record of success in high velocity sales environments.
Based in San Francisco or New York City and open to coming in office at least 3 days per week (Tuesday-Thursday).
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\n\nTHE ROLE\n\nWe are seeking a Sales Manager to help lead a team of Account Executives within our Startups segment. This hire will be responsible for building and coaching a team of high-performing sales reps, driving revenue growth, and partnering closely with product and engineering to bring our cutting-edge AI infrastructure to customers.\n\n\n\nRESPONSIBILITIES\n\n - Lead and mentor a team of Startups Account Executives to consistently exceed pipeline and revenue goals.\n\n - Help define and execution on go-to-market strategy for our fastest growing customer segment.\n\n - Hire and scale the team by recruiting, interviewing, and onboarding top talent\n\n - Collaborate cross-functionally with Marketing, Product, and Engineering to align customer needs with Baseten’s product roadmap.\n\n - Be deeply engaged with the product, enabling reps to have highly technical conversations with prospects and customers.\n\n - Foster a culture of accountability, learning, and collaboration within the sales team.\n\n\n\nREQUIREMENTS\n\n - 4+ years of closing sales experience, with 2+ years in management leading high-performing teams.\n\n - Strong technical acumen, ideally with background in AI infrastructure, cloud infrastructure, or developer platforms.\n\n - Comfortable operating in the weeds with technical products and guiding reps through complex deals.\n\n - Proven track record of success in high velocity sales environments.\n\n - Based in San Francisco or New York City and open to coming in office at least 3 days per week (Tuesday-Thursday).\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"b621b620-85eb-4f73-8d77-e4ebd458b02d","title":"GTM Engineer ","department":"GTM","team":"Revenue Operations","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-22T00:03:23.260+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/b621b620-85eb-4f73-8d77-e4ebd458b02d","applyUrl":"https://jobs.ashbyhq.com/baseten/b621b620-85eb-4f73-8d77-e4ebd458b02d/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
The GTM tooling landscape is changing fast and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.
You'll design, build, and ship AI-powered workflows that scale our sales, marketing, and support functions as a competitive advantage. We have a sprawling stack with real redundancy, real gaps, and real opportunity — and we want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.
You know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead on how the thing you're building today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something that low-code tooling simply can't.
RESPONSIBILITIES
Own the CRM enrichment strategy — design and maintain the data foundation our GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack (Clay, Harmonic, Salesforce, and beyond)
Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize accordingly — without waiting to be handed a roadmap
Ship rep productivity workflows fast — triage asks from the field, identify the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday
Know when to go custom — not everything belongs in a point-and-click tool. You're comfortable spinning up bespoke AI-powered solutions in Claude Code or similar when the problem calls for it, and you make that call with judgment, not default
Think in systems, not solutions — every workflow you build has upstream and downstream implications. You anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later
Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day
Think long-term about stack consolidation — we have duplication and shadow IT across enrichment, routing, and engagement. Part of this role is helping us build toward a smaller, more intentional stack over time
Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works
REQUIREMENTS
3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company
Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits
Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes
Genuine fluency with AI coding assistants (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools, not just experimenting with them
A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them
Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar)
A fundamental understanding of APIs and webhooks to integrate third-party systems
Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly
Experience in high-growth B2B technology companies
Familiarity with enrichment and data provider ecosystems beyond Clay — Harmonic, Parallel.ai, Lusha, Crunchbase, Pitchbook, ZoomInfo, or similar
Experience with engagement platforms (Outreach, Nooks, or similar) and how they connect to CRM and enrichment workflows
Familiarity with a data warehouse environment (BigQuery, Snowflake, etc.) and BI tools (Sigma, Hex, etc.) — not as a data engineer, but as a consumer and builder on top of the data layer
Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)
Experience with highly technical software sales cycles and complex GTM motions
An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works
Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain
Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nThe GTM tooling landscape is changing fast and the teams that win are the ones that adapt and iterate the fastest. This role exists to make sure Baseten is one of them.\n\nYou'll design, build, and ship AI-powered workflows that scale our sales, marketing, and support functions as a competitive advantage. We have a sprawling stack with real redundancy, real gaps, and real opportunity — and we want someone who can walk in, audit what we have, identify what we're missing, and start shipping fast.\n\nYou know when to reach for Clay and when to build something custom in Claude Code. You think two to three steps ahead on how the thing you're building today fits into the broader systems architecture tomorrow. And you bring a point of view — on our stack, on what we should be building, and on where AI can do something that low-code tooling simply can't.\n\n\n\nRESPONSIBILITIES\n\n - Own the CRM enrichment strategy — design and maintain the data foundation our GTM org runs on, spanning account and contact data quality, enrichment workflows, and data provider orchestration across our stack (Clay, Harmonic, Salesforce, and beyond)\n\n - Audit the stack and generate your own backlog — we have a lot of tools, some overlap, and real gaps. Walk in with a point of view, identify what's missing or broken, and prioritize accordingly — without waiting to be handed a roadmap\n\n - Ship rep productivity workflows fast — triage asks from the field, identify the low-hanging fruit, and build it. A good week looks like a VP of Sales asking for something Monday and having it live by Wednesday\n\n - Know when to go custom — not everything belongs in a point-and-click tool. You're comfortable spinning up bespoke AI-powered solutions in Claude Code or similar when the problem calls for it, and you make that call with judgment, not default\n\n - Think in systems, not solutions — every workflow you build has upstream and downstream implications. You anticipate them, design for them, and don't create technical debt that someone else has to unwind six months later\n\n - Integrate third-party APIs to sync events and information across disparate systems — ensuring data flows reliably between the tools your team depends on every day\n\n - Think long-term about stack consolidation — we have duplication and shadow IT across enrichment, routing, and engagement. Part of this role is helping us build toward a smaller, more intentional stack over time\n\n - Document what you build — if people can't find it, understand it, or trust it, it doesn't matter how well it works\n \n \n\nREQUIREMENTS\n\n - 3+ years of experience in GTM Engineering, workflow automation, or a technical RevOps role — ideally at a high-growth, AI-native B2B company\n\n - Hands-on experience with Clay as a primary enrichment and workflow tool — you have opinions about how to use it well and you've pushed it to its limits\n\n - Direct experience with Salesforce — you know the data model, you've built on it, and you're comfortable owning CRM-level changes\n\n - Genuine fluency with AI coding assistants (Claude Code, Cursor, Codex, or similar) — you're actively building with these tools, not just experimenting with them\n\n - A track record of owning end-to-end AI and automation workflows, not just contributing to or consuming them\n\n - Proficiency with integration and automation platforms (n8n, Zapier, Make, Workato, or similar)\n\n - A fundamental understanding of APIs and webhooks to integrate third-party systems\n\n - Strong judgment on the build decision — you know when low-code gets you 80% of the way there and when it becomes the bottleneck, and you act accordingly\n\n - Experience in high-growth B2B technology companies\n\n\n\n\nWHAT WILL SET YOU APART\n\n - Familiarity with enrichment and data provider ecosystems beyond Clay — Harmonic, Parallel.ai http://Parallel.ai, Lusha, Crunchbase, Pitchbook, ZoomInfo, or similar\n\n - Experience with engagement platforms (Outreach, Nooks, or similar) and how they connect to CRM and enrichment workflows\n\n - Familiarity with a data warehouse environment (BigQuery, Snowflake, etc.) and BI tools (Sigma, Hex, etc.) — not as a data engineer, but as a consumer and builder on top of the data layer\n\n - Experience building with agent platforms (Gumloop, n8n, Notion Agents, etc.) and/or agent frameworks (Vercel AI SDK, Claude Agent SDK, Mastra, etc.)\n\n - Experience with highly technical software sales cycles and complex GTM motions\n\n - An instinct for stack consolidation — you've inherited a messy tool environment before and helped bring it toward something more intentional without breaking what works\n\n - Systems thinker — you naturally break problems into composable parts, building solutions with separation of concerns so they're reusable, extensible, and easy to maintain\n\n - Comfortable with a little sprawl — you're not paralyzed by ambiguity or imperfect tooling. You know how to experiment, build fast, and clean up as you go\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"b6dc9f81-ba0c-4c6a-9844-97be9f5c9e69","title":"Recruiting Coordinator","department":"Talent","team":"Talent","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-01T19:58:07.381+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/b6dc9f81-ba0c-4c6a-9844-97be9f5c9e69","applyUrl":"https://jobs.ashbyhq.com/baseten/b6dc9f81-ba0c-4c6a-9844-97be9f5c9e69/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re looking for a Recruiting Coordinator to help create a seamless, welcoming, and well-organized interview experience for every candidate who engages with our team. You’ll work closely with our recruiters to coordinate both virtual and in-person interviews, support executive involvement when needed, and ensure candidates have everything they need at our San Francisco office—from a smooth arrival to a thoughtful goodbye. This role is ideal for someone who thrives on operational excellence, loves solving logistics problems on the fly, and brings both warmth and precision to every interaction.
RESPONSIBILITIES
Work closely with recruiters and hiring managers to coordinate interview loops and debriefs for candidates and the internal team members conducting interviews
Ensure every candidate has a smooth, well-communicated, and positive experience
Manage logistics for onsite interviews at our San Francisco office, including candidate arrival, workspace setup, and a thoughtful wrap up
Proactively identify and solve day-of issues, including last-minute changes or scheduling conflicts
Communicate clearly and promptly with candidates and internal teams about interview logistics and updates
Partner with the People Operations to support new hire onboarding logistics
REQUIREMENTS
1+ year of recruiting or HR experience
Detail-oriented and operationally strong—you know how to keep things moving
Clear and professional written and verbal communication skills
Personable and warm—you're great at making candidates feel welcome and supported
Ability to think on your feet and respond to last-minute changes
Previous experience in a recruiting or coordination role is a plus, especially at a fast-paced company
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\n\nTHE ROLE\n\nWe’re looking for a Recruiting Coordinator to help create a seamless, welcoming, and well-organized interview experience for every candidate who engages with our team. You’ll work closely with our recruiters to coordinate both virtual and in-person interviews, support executive involvement when needed, and ensure candidates have everything they need at our San Francisco office—from a smooth arrival to a thoughtful goodbye. This role is ideal for someone who thrives on operational excellence, loves solving logistics problems on the fly, and brings both warmth and precision to every interaction.\n\n\n\nRESPONSIBILITIES\n\n - Work closely with recruiters and hiring managers to coordinate interview loops and debriefs for candidates and the internal team members conducting interviews\n\n - Ensure every candidate has a smooth, well-communicated, and positive experience\n\n - Manage logistics for onsite interviews at our San Francisco office, including candidate arrival, workspace setup, and a thoughtful wrap up\n\n - Proactively identify and solve day-of issues, including last-minute changes or scheduling conflicts\n\n - Communicate clearly and promptly with candidates and internal teams about interview logistics and updates\n\n - Partner with the People Operations to support new hire onboarding logistics\n \n \n\nREQUIREMENTS\n\n - 1+ year of recruiting or HR experience\n\n - Detail-oriented and operationally strong—you know how to keep things moving\n\n - Clear and professional written and verbal communication skills\n\n - Personable and warm—you're great at making candidates feel welcome and supported\n\n - Ability to think on your feet and respond to last-minute changes\n\n - Previous experience in a recruiting or coordination role is a plus, especially at a fast-paced company\n \n \n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"b85e4b1d-6531-46b5-bc8a-238f3761a50e","title":"Security Engineer","department":"EPD","team":"Security","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-04-01T22:30:27.120+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/b85e4b1d-6531-46b5-bc8a-238f3761a50e","applyUrl":"https://jobs.ashbyhq.com/baseten/b85e4b1d-6531-46b5-bc8a-238f3761a50e/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders.
RESPONSIBILITIES
Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms.
Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure.
Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews.
Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data.
Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and assist with audits, policy creation, and risk assessments.
Employee security training: Develop and deliver security training programs and documentation to keep our team informed about best practices, social engineering threats, and secure coding standards.
DevSecOps integration: Partner with DevOps teams to embed security into the CI/CD pipeline, automating security checks and fostering a culture of “security as code.”
REQUIREMENTS
3+ years of experience in a Security Engineer or similar security-focused role, preferably in a fast-paced startup environment.
Strong knowledge of cloud security (AWS/GCP), container security, and infrastructure-as-code best practices.
Hands-on experience with security tooling (SIEM, IDS/IPS, vulnerability scanners) and scripting languages to automate security tasks.
Familiarity with compliance frameworks such as SOC 2, ISO 27001, and GDPR, and the ability to translate requirements into actionable security controls.
Incident response expertise, including forensic analysis and root cause investigation.
Excellent communication skills and the ability to collaborate with cross-functional teams to promote a security-first culture.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are seeking an experienced and proactive Security Engineer to help us build, maintain, and continuously improve the security posture of our rapidly growing ML infrastructure platform. As one of the first dedicated security hires at Baseten, you will work cross-functionally with engineering and operations teams to ensure we’re meeting the highest standards of confidentiality, integrity, and availability. You’ll have an opportunity to shape our security strategy and best practices from the ground up, influencing the way our platform handles sensitive data for both internal and external stakeholders.\n\n\n\nRESPONSIBILITIES\n\n - Security architecture and design: Collaborate with engineering teams to design and implement secure systems and infrastructure, including cloud (AWS/GCP) environments and container orchestration platforms.\n\n - Vulnerability management: Lead proactive vulnerability assessments, pen tests, and remediation efforts to ensure our products and infrastructure remain secure.\n\n - Incident response: Develop and maintain incident response processes, including detection, analysis, containment, eradication, and post-incident reviews.\n\n - Identity and access management (IAM): Oversee IAM strategies and tools to ensure the right people have the right level of access to our systems and data.\n\n - Security compliance and audits: Work closely with operations to ensure compliance with relevant standards (e.g., SOC 2, ISO 27001) and assist with audits, policy creation, and risk assessments.\n\n - Employee security training: Develop and deliver security training programs and documentation to keep our team informed about best practices, social engineering threats, and secure coding standards.\n\n - DevSecOps integration: Partner with DevOps teams to embed security into the CI/CD pipeline, automating security checks and fostering a culture of “security as code.”\n\n\n\nREQUIREMENTS\n\n - 3+ years of experience in a Security Engineer or similar security-focused role, preferably in a fast-paced startup environment.\n\n - Strong knowledge of cloud security (AWS/GCP), container security, and infrastructure-as-code best practices.\n\n - Hands-on experience with security tooling (SIEM, IDS/IPS, vulnerability scanners) and scripting languages to automate security tasks.\n\n - Familiarity with compliance frameworks such as SOC 2, ISO 27001, and GDPR, and the ability to translate requirements into actionable security controls.\n\n - Incident response expertise, including forensic analysis and root cause investigation.\n\n - Excellent communication skills and the ability to collaborate with cross-functional teams to promote a security-first culture.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"b88a68b7-d2bc-4a30-a79a-3ef292ad7c26","title":"Software Engineer - AI Enablement","department":"EPD","team":"Internal Platform (Dev Tooling)","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-02-24T21:29:26.285+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/b88a68b7-d2bc-4a30-a79a-3ef292ad7c26","applyUrl":"https://jobs.ashbyhq.com/baseten/b88a68b7-d2bc-4a30-a79a-3ef292ad7c26/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As Baseten's AI Enablement Engineer, you'll own the AI-powered tooling and agent infrastructure that makes every person at Baseten dramatically more productive. While our product helps external teams deploy and serve AI models, your focus is inward: building, integrating, and operating AI agents and LLM-powered workflows that accelerate how we write code, review PRs, debug incidents, generate documentation, and ship faster.
This is a high-autonomy, high-impact role. You'll be the go-to person for everything AI-internal, from evaluating and deploying coding assistants and agentic tools, to building custom agents tailored to Baseten's codebase and workflows. If you're excited about making an engineering org of top-tier infrastructure engineers even more effective by putting AI to work across the entire SDLC, this role is for you.
EXAMPLE INITIATIVES
You'll get to work on these types of projects:
Agentic coding workflows — Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Baseten's monorepo, conventions, and internal libraries.
Custom internal agents — Build purpose-built agents for tasks like incident triage, on-call support, codebase Q&A, and automated change management.
AI adoption strategy — Track usage, measure productivity gains, and champion best practices for AI-assisted development across all engineering teams.
RESPONSIBILITIES
Own and operate the end-to-end internal AI stack — from model selection and integration to deployment and monitoring.
Build and maintain custom AI agents and LLM-powered tools tailored to Baseten's engineering workflows.
Evaluate and roll out third-party AI developer tools, configuration, and onboarding.
Instrument AI tool usage and measure impact on engineering velocity, code quality, and developer satisfaction.
Stay at the cutting edge of AI tooling, agents, and developer productivity research — and bring the best ideas back to the team.
Actively support engineering teams, ensuring they have the AI-powered resources and workflows necessary to remain productive.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs Baseten's AI Enablement Engineer, you'll own the AI-powered tooling and agent infrastructure that makes every person at Baseten dramatically more productive. While our product helps external teams deploy and serve AI models, your focus is inward: building, integrating, and operating AI agents and LLM-powered workflows that accelerate how we write code, review PRs, debug incidents, generate documentation, and ship faster.\n\nThis is a high-autonomy, high-impact role. You'll be the go-to person for everything AI-internal, from evaluating and deploying coding assistants and agentic tools, to building custom agents tailored to Baseten's codebase and workflows. If you're excited about making an engineering org of top-tier infrastructure engineers even more effective by putting AI to work across the entire SDLC, this role is for you.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects:\n\n - Agentic coding workflows — Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Baseten's monorepo, conventions, and internal libraries.\n\n - Custom internal agents — Build purpose-built agents for tasks like incident triage, on-call support, codebase Q&A, and automated change management.\n\n - AI adoption strategy — Track usage, measure productivity gains, and champion best practices for AI-assisted development across all engineering teams.\n \n \n\nRESPONSIBILITIES\n\n - Own and operate the end-to-end internal AI stack — from model selection and integration to deployment and monitoring.\n\n - Build and maintain custom AI agents and LLM-powered tools tailored to Baseten's engineering workflows.\n\n - Evaluate and roll out third-party AI developer tools, configuration, and onboarding.\n\n - Instrument AI tool usage and measure impact on engineering velocity, code quality, and developer satisfaction.\n\n - Stay at the cutting edge of AI tooling, agents, and developer productivity research — and bring the best ideas back to the team.\n\n - Actively support engineering teams, ensuring they have the AI-powered resources and workflows necessary to remain productive.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"c2ba6c50-d282-4478-98e9-668f94facde8","title":"Data Engineer","department":"G&A","team":"Data and Analytics","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-03-18T17:12:13.600+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/c2ba6c50-d282-4478-98e9-668f94facde8","applyUrl":"https://jobs.ashbyhq.com/baseten/c2ba6c50-d282-4478-98e9-668f94facde8/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.
You’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.
You’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.
RESPONSIBILITIES
Design and maintain core data models and semantic layers
Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks
Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools
Define and maintain company-wide metrics across product usage, performance, and customer lifecycle
Enable self-service analytics through agents and tools, with well-structured semantic layers and context
Ensure data reliability and quality through testing, documentation, and governance
PREFERRED QUALIFICATIONS
Understanding of inference metrics such as latency, throughput, token usage, and model performance
Experience supporting B2B SaaS and/or consumption-based platforms
Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re hiring a Data Engineer to build and scale Baseten’s internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw product and business data into reliable datasets that power decision-making.\n\nYou’ll design the data models, pipelines, and analytics infrastructure that enable teams across Product, Engineering, Finance, Marketing, and Sales to understand usage and performance. This includes working with AI inference, infrastructure, and observability data to generate insights about the product, business operations and platform economics.\n\nYou’ll partner closely with stakeholders to build robust, scalable pipelines, define company-wide metrics that inform strategy and planning.\n\n\n\nRESPONSIBILITIES\n\n - Design and maintain core data models and semantic layers\n\n - Develop and orchestrate batch and streaming data pipelines using technologies such as Apache Beam, Kafka, Airflow, or similar frameworks\n\n - Analyze inference and infrastructure telemetry, including data from OpenTelemetry, Grafana, and other observability tools\n\n - Define and maintain company-wide metrics across product usage, performance, and customer lifecycle\n\n - Enable self-service analytics through agents and tools, with well-structured semantic layers and context\n\n - Ensure data reliability and quality through testing, documentation, and governance\n \n \n\nPREFERRED QUALIFICATIONS\n\n - Understanding of inference metrics such as latency, throughput, token usage, and model performance\n\n - Experience supporting B2B SaaS and/or consumption-based platforms\n\n - Application of forecasting and predictive modeling (e.g., ARIMA, Prophet) to business processes\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"c2f8fe4f-07c1-4d43-ae5c-05f057842e57","title":"Brand Designer","department":"EPD","team":"Design","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-06T17:06:24.969+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/c2f8fe4f-07c1-4d43-ae5c-05f057842e57","applyUrl":"https://jobs.ashbyhq.com/baseten/c2f8fe4f-07c1-4d43-ae5c-05f057842e57/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
Lead large-scale brand campaigns across digital, events, and out-of-home.
Partner with engineering and product marketing on major product launches.
Turn complex technical ideas into clear, compelling visual communication.
Evolve the Baseten visual identity into a brand system that scales.
Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership.
Shape our employer brand and help define how new hires experience Baseten.
Raise the bar for craft across every customer touchpoint.
You have a portfolio of exceptional work with outstanding visual craft and attention to detail.
You care deeply about quality and sweat the details.
You communicate ideas clearly and thrive in collaborative environments.
You know when to build systems, not just execute on assets.
You default to ownership and are comfortable leading highly cross-functional projects from concept through launch.
You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them.
You thrive in a fast-moving environment with a high bar for quality.
You have strong opinions about design and can articulate why something works - and why it doesn't.
Motion design and animation experience
Experience designing for developers or highly technical audiences.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\n\nTHE ROLE\n\n - Lead large-scale brand campaigns across digital, events, and out-of-home.\n\n - Partner with engineering and product marketing on major product launches.\n\n - Turn complex technical ideas into clear, compelling visual communication.\n\n - Evolve the Baseten visual identity into a brand system that scales.\n\n - Own projects end-to-end, from concept through launch, collaborating directly with marketing, product, engineering, and leadership.\n\n - Shape our employer brand and help define how new hires experience Baseten.\n\n - Raise the bar for craft across every customer touchpoint.\n\n\n\n\nABOUT YOU\n\n - You have a portfolio of exceptional work with outstanding visual craft and attention to detail.\n\n - You care deeply about quality and sweat the details.\n\n - You communicate ideas clearly and thrive in collaborative environments.\n\n - You know when to build systems, not just execute on assets.\n\n - You default to ownership and are comfortable leading highly cross-functional projects from concept through launch.\n\n - You're excited by technical products and know how to make complex ideas feel consumable without oversimplifying them.\n\n - You thrive in a fast-moving environment with a high bar for quality.\n\n - You have strong opinions about design and can articulate why something works - and why it doesn't.\n\n\n\n\nBONUS\n\n - Motion design and animation experience\n\n - Experience designing for developers or highly technical audiences.\n\n\n\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"c64515f9-a8f7-4633-9340-17cda56b1ef0","title":"Solution Architect","department":"EPD","team":"Solution Architect","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-02-25T18:29:37.036+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/c64515f9-a8f7-4633-9340-17cda56b1ef0","applyUrl":"https://jobs.ashbyhq.com/baseten/c64515f9-a8f7-4633-9340-17cda56b1ef0/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
As a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.
RESPONSIBILITIES:
Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).
Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.
Own benchmarking and repeatable deployments, including:
Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.
Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.
Driving consistent “playbook” style deployments for common models and use cases.
Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them
Drive POC and project execution, including:
Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.
Acting as the “ringleader” or project manager for POCs.
Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.
REQUIREMENTS:
AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.
Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.
Technical depth to scope solutions, without needing to write production code.
Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.
NICE TO HAVE:
Experience running or supporting benchmarks for ML inference deployments.
Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).
Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\nAs a Solution Architect at Baseten you will partner closely with Sales and customers to translate business needs into technical solutions, run technical discovery, and guide repeatable deployments and proofs of value for customers. This role is a great fit for entrepreneurial, customer-facing technical professionals who want a front-row view into how modern companies adopt AI at scale, and who enjoy working across technical discovery, solution design, demos, deployment scoping, and hands-on customer implementations, in close partnership with Sales and Engineering.\n\n\nRESPONSIBILITIES:\n\n - Partner with Sales on customer discovery calls (most often second calls, occasionally first calls for large accounts).\n\n - Lead demos and technical scoping to align on success criteria, architecture, and deployment approach.\n\n - Own benchmarking and repeatable deployments, including:\n\n - Handling standard deployment patterns and configurations across many modalities – LLMs, embeddings, image and video generation, VoiceAI, etc.\n\n - Advising on tradeoffs like H100s vs B200s and latency-optimized vs throughput-optimized setups.\n\n - Driving consistent “playbook” style deployments for common models and use cases.\n\n - Become a power user of different runtimes such as vllm, sglang, and TRT-LMM and all the common configurations and tradeoffs between them\n\n - Drive POC and project execution, including:\n\n - Scoping POCs and keeping stakeholders aligned on timeline, deliverables, and next steps.\n\n - Acting as the “ringleader” or project manager for POCs.\n\n - Pulling in Forward Deployed Engineering (FDE) support when deeper or more complex technical work is needed.\n \n \n\nREQUIREMENTS:\n\n - AI/ML background and the ability to credibly discuss AI/ML topics with technical stakeholders.\n\n - Strong customer-facing communication skills, including the ability to run structured discovery and clarify ambiguous requirements.\n\n - Technical depth to scope solutions, without needing to write production code.\n\n - Ability to script and prototype as needed, including comfort “vibe coding” to move quickly in technical workflows.\n \n \n\nNICE TO HAVE:\n\n - Experience running or supporting benchmarks for ML inference deployments.\n\n - Familiarity with infrastructure tradeoffs relevant to inference performance and cost (for example GPU selection and latency versus throughput tuning).\n\n - Experience serving as a cross-functional technical lead for customer POCs, including coordination across Sales and Engineering.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"c8701794-bdc1-4932-bffa-a444ce57ed73","title":"Software Engineer- BIS (Baseten Inference Stack)","department":"EPD","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-06-02T00:16:06.843+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/c8701794-bdc1-4932-bffa-a444ce57ed73","applyUrl":"https://jobs.ashbyhq.com/baseten/c8701794-bdc1-4932-bffa-a444ce57ed73/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Baseten’s Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use.
As a Software Engineer on the Inference Stack team, you’ll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently.
This is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.
EXAMPLE INITIATIVES
Blog Posts
https://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/
https://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/
RESPONSIBILITIES
Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference
Work across the stack, from customer-facing features to low-level infrastructure components
Build platform capabilities related to routing, autoscaling, scheduling, observability, and runtime management
Improve the reliability, scalability, and usability of our inference stack
Collaborate closely with Model Performance engineers to make new inference optimizations broadly available to customers and easy to configure
Help define best practices around testing, release automation, benchmarking, and operational excellence
Debug complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads
Make thoughtful engineering tradeoffs balancing performance, reliability, operational simplicity, and developer experience
Own projects end-to-end: from architecture and implementation through deployment, monitoring, and iteration based on customer feedback
REQUIREMENTS
Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field
Strong background in distributed systems, backend infrastructure, or platform engineering
Experience building and operating production systems where reliability, latency, and scale are first-class concerns
Strong sense of developer experience: you think about how systems are used, not just how they work
Motivated and willing to learn new languages, frameworks, and systems as needed
Ability to debug complex systems across multiple layers of the stack
Genuine interest in inference engineering. You don’t need to have hands on experience but are willing to learn
Excellent communication and collaboration skills
BONUS
Experience with Kubernetes, including concepts like operators and custom resources
Prior work on Dynamo, vLLM, SGLang, TensorRT-LLM, or similar inference frameworks
Experience with distributed scheduling, autoscaling, or service orchestration
Experience operating GPU workloads in production
Familiarity with observability tooling, CI/CD systems, or release automation
Experience contributing to open-source infrastructure or ML systems
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nBaseten’s Inference Stack team builds the distributed runtime that powers large-scale LLM inference across our platform. We operate at the intersection of distributed systems, model performance, infrastructure, and developer experience. We enable customers to deploy and operate cutting-edge LLM models with industry-leading performance, scalability, reliability, and ease of use.\n\nAs a Software Engineer on the Inference Stack team, you’ll work across the stack - from the developer experience customers use to deploy models, the libraries used for features like tool calling and reasoning, all the way down to the systems we use to orchestrate deployments in Kubernetes and route traffic efficiently.\n\nThis is an ideal role for engineers who enjoy owning systems in production, solving hard integration problems, and making complex infrastructure simple and reliable for users.\n\n\n\n \n\nEXAMPLE INITIATIVES\n\nBlog Posts\n\nhttps://www.baseten.co/blog/nvidia-dynamo-day-baseten-inference-stack/\n\nhttps://www.baseten.co/blog/how-baseten-achieved-2x-faster-inference-with-nvidia-dynamo/\n\nhttps://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/#comparing-deployment-options-cloud-vs-self-hosted-vs-hybrid\n\n \n\n\n\nRESPONSIBILITIES\n\n - Develop infrastructure and orchestration systems for deploying and managing large-scale distributed LLM inference\n\n - Work across the stack, from customer-facing features to low-level infrastructure components\n\n - Build platform capabilities related to routing, autoscaling, scheduling, observability, and runtime management\n\n - Improve the reliability, scalability, and usability of our inference stack\n\n - Collaborate closely with Model Performance engineers to make new inference optimizations broadly available to customers and easy to configure\n\n - Help define best practices around testing, release automation, benchmarking, and operational excellence\n\n - Debug complex production systems spanning Kubernetes, distributed runtimes, networking, and GPU workloads\n\n - Make thoughtful engineering tradeoffs balancing performance, reliability, operational simplicity, and developer experience\n\n - Own projects end-to-end: from architecture and implementation through deployment, monitoring, and iteration based on customer feedback\n\n\n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related field\n\n - Strong background in distributed systems, backend infrastructure, or platform engineering\n\n - Experience building and operating production systems where reliability, latency, and scale are first-class concerns\n\n - Strong sense of developer experience: you think about how systems are used, not just how they work\n\n - Motivated and willing to learn new languages, frameworks, and systems as needed\n\n - Ability to debug complex systems across multiple layers of the stack\n\n - Genuine interest in inference engineering. You don’t need to have hands on experience but are willing to learn\n\n - Excellent communication and collaboration skills\n\n\n\nBONUS\n\n - Experience with Kubernetes, including concepts like operators and custom resources\n\n - Prior work on Dynamo, vLLM, SGLang, TensorRT-LLM, or similar inference frameworks\n\n - Experience with distributed scheduling, autoscaling, or service orchestration\n\n - Experience operating GPU workloads in production\n\n - Familiarity with observability tooling, CI/CD systems, or release automation\n\n - Experience contributing to open-source infrastructure or ML systems\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ca54940e-83a0-458c-a384-b57cb4b7f888","title":"GTM Recruiter","department":"Talent","team":"Talent","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-12T00:22:24.007+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ca54940e-83a0-458c-a384-b57cb4b7f888","applyUrl":"https://jobs.ashbyhq.com/baseten/ca54940e-83a0-458c-a384-b57cb4b7f888/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are seeking an experienced and proactive Recruiter to help us grow our team. You will focus on hiring across our Sales team, collaborating closely with hiring managers and Sales leadership. This is a unique opportunity to build and scale the go-to-market recruiting function from the ground up—shaping strategies, processes, and candidate experience as we grow. Every hire you bring on board will play a direct role in building the future of ML infrastructure at Baseten.
RESPONSIBILITIES
Full-cycle recruiting: Own the hiring goals and recruiting process, from role kickoff through offer acceptance
Sourcing excellence: Work closely with hiring managers to define what \"excellent\" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach.
Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process
Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire
Data-driven insights: Track and analyze recruiting metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform strategies
REQUIREMENTS
3+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment with big headcount goals
Proven success sourcing great candidates for Sales teams
Strong willingness to take ownership of a team's hiring goals and proactively drive recruiting process improvements to achieve those goals
Exceptional organizational skills with the ability to juggle multiple searches and priorities simultaneously
Excellent written and verbal communication skills
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are seeking an experienced and proactive Recruiter to help us grow our team. You will focus on hiring across our Sales team, collaborating closely with hiring managers and Sales leadership. This is a unique opportunity to build and scale the go-to-market recruiting function from the ground up—shaping strategies, processes, and candidate experience as we grow. Every hire you bring on board will play a direct role in building the future of ML infrastructure at Baseten.\n\n\n\nRESPONSIBILITIES\n\n - Full-cycle recruiting: Own the hiring goals and recruiting process, from role kickoff through offer acceptance\n\n - Sourcing excellence: Work closely with hiring managers to define what \"excellent\" looks like for a given role. Develop and execute sourcing strategies to build pipelines of highly qualified candidates, leveraging tools and creative outreach.\n\n - Candidate experience: Ensure a smooth experience for every candidate, with clear communication and timely updates throughout the process\n\n - Process improvements: Continuously refine and scale recruiting processes to increase efficiency, reduce time-to-fill, and improve quality of hire\n\n - Data-driven insights: Track and analyze recruiting metrics (e.g., pipeline health, time-to-fill, conversion rates, acceptance rates) to inform strategies\n\n\n\nREQUIREMENTS\n\n - 3+ years of full-cycle recruiting experience, preferably in a rapidly growing startup environment with big headcount goals\n\n - Proven success sourcing great candidates for Sales teams\n\n - Strong willingness to take ownership of a team's hiring goals and proactively drive recruiting process improvements to achieve those goals\n\n - Exceptional organizational skills with the ability to juggle multiple searches and priorities simultaneously\n\n - Excellent written and verbal communication skills\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ce8f46eb-40f9-4c46-98f7-c20f0fa97e9c","title":"Engineering Manager - Model Performance","department":"EPD","team":"Model Performance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2024-09-12T20:41:29.342+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ce8f46eb-40f9-4c46-98f7-c20f0fa97e9c","applyUrl":"https://jobs.ashbyhq.com/baseten/ce8f46eb-40f9-4c46-98f7-c20f0fa97e9c/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Are you passionate about advancing the frontiers of artificial intelligence while leading a team of exceptional engineers? We are looking for a Tech Lead Manager focused on ML performance and inference. This role is ideal for someone with a strong engineering background who is eager to lead and mentor a team while remaining hands-on with technology. If you thrive in a fast-paced startup environment and are excited about both leadership and technical challenges, we want to hear from you.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
RESPONSIBILITIES
Lead, mentor, and manage a team of engineers focused on developing and optimizing ML model inference and performance.
Oversee technical strategy and architecture decisions, driving improvements across our engineering organization.
Collaborate with cross-functional teams to ensure seamless integration and scalability of ML models in production environments.
Dive into the codebase of frameworks like TensorRT, PyTorch, CUDA, and others to identify and solve complex performance bottlenecks.
Drive the development and deployment of large-scale optimization techniques for various ML models, especially large language models (LLMs).
Own the full lifecycle of projects from inception through delivery, including planning, execution, and resource management.
Foster a collaborative, inclusive team environment that encourages continuous learning and growth.
REQUIREMENTS
Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field.
5+ years of professional experience in software engineering, with at least 2 years in a technical leadership role.
Proven experience managing and mentoring teams of engineers.
Expertise in one or more programming languages, such as Python, C++, or Go.
In-depth understanding of ML model performance optimization, especially using libraries such as PyTorch, TensorRT, and CUDA.
Strong knowledge of containerization (Docker) and orchestration systems (Kubernetes).
Experience with production-level AI/ML solutions, including scaling and deploying large models.
Ability to balance hands-on technical work with team leadership and project management.
BONUS POINTS
Experience enhancing the performance of large language models (LLMs) or similar AI systems.
Familiarity with LLM optimization techniques such as quantization, speculative decoding, or continuous batching.
Deep knowledge of GPU architecture and performance tuning.
Previous experience in a high-growth startup environment.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAre you passionate about advancing the frontiers of artificial intelligence while leading a team of exceptional engineers? We are looking for a Tech Lead Manager focused on ML performance and inference. This role is ideal for someone with a strong engineering background who is eager to lead and mentor a team while remaining hands-on with technology. If you thrive in a fast-paced startup environment and are excited about both leadership and technical challenges, we want to hear from you.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Model Performance team:\n\n - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/\n\n - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/\n\n - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/\n\n\n\nRESPONSIBILITIES\n\n - Lead, mentor, and manage a team of engineers focused on developing and optimizing ML model inference and performance.\n\n - Oversee technical strategy and architecture decisions, driving improvements across our engineering organization.\n\n - Collaborate with cross-functional teams to ensure seamless integration and scalability of ML models in production environments.\n\n - Dive into the codebase of frameworks like TensorRT, PyTorch, CUDA, and others to identify and solve complex performance bottlenecks.\n\n - Drive the development and deployment of large-scale optimization techniques for various ML models, especially large language models (LLMs).\n\n - Own the full lifecycle of projects from inception through delivery, including planning, execution, and resource management.\n\n - Foster a collaborative, inclusive team environment that encourages continuous learning and growth.\n\n\n\nREQUIREMENTS\n\n - Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field.\n\n - 5+ years of professional experience in software engineering, with at least 2 years in a technical leadership role.\n\n - Proven experience managing and mentoring teams of engineers.\n\n - Expertise in one or more programming languages, such as Python, C++, or Go.\n\n - In-depth understanding of ML model performance optimization, especially using libraries such as PyTorch, TensorRT, and CUDA.\n\n - Strong knowledge of containerization (Docker) and orchestration systems (Kubernetes).\n\n - Experience with production-level AI/ML solutions, including scaling and deploying large models.\n\n - Ability to balance hands-on technical work with team leadership and project management.\n\n\n\nBONUS POINTS\n\n - Experience enhancing the performance of large language models (LLMs) or similar AI systems.\n\n - Familiarity with LLM optimization techniques such as quantization, speculative decoding, or continuous batching.\n\n - Deep knowledge of GPU architecture and performance tuning.\n\n - Previous experience in a high-growth startup environment.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"cf217a8e-0f9d-48e0-88e9-8f9aec70e3f2","title":"Data Center Engineering Leader","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-07-07T00:07:31.638+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/cf217a8e-0f9d-48e0-88e9-8f9aec70e3f2","applyUrl":"https://jobs.ashbyhq.com/baseten/cf217a8e-0f9d-48e0-88e9-8f9aec70e3f2/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As Baseten’s Head of Data Center Infrastructure, you’ll own the strategy, design, and execution of our first-generation GPU data centers. We lease powered shells—but everything inside the building is on us: power distribution, cooling, rack design, structured cabling / low-voltage systems, and the operational foundations to scale to tens, then hundreds of megawatts.
This is a high-ownership, hands-on leadership role. You’ll act as the technical authority across facility design and build, working closely with contractors, vendors, and internal teams to bring new capacity online quickly and reliably. Your decisions will directly impact how fast we deploy GPUs and how efficiently they run.
EXAMPLE INITIATIVES
First site build — Deliver high-density GPU infrastructure inside a powered shell.
Power and cooling architecture — Design systems supporting 150kW+ rack densities.
Structured cabling and LVC — Define cable plant standards, pathways, labeling, and contractor scope.
Site standardization — Create repeatable designs for scaling across multiple sites.
RESPONSIBILITIES
Own data center infrastructure strategy, design, and execution.
Define electrical, mechanical, and physical network infrastructure architecture.
Lead power, cooling, cabling, and rack design decisions.
Own commissioning, failover testing, and thermal validation.
Manage A/E firms, GCs, vendors, and low-voltage contractors.
Establish maintenance programs, runbooks, as-builts, and deployment standards.
Build and lead the data center engineering and operations functions.
REQUIREMENTS
Experience designing and delivering data centers or large-scale infrastructure.
Deep knowledge of electrical distribution and cooling systems.
Experience with high-density racks and GPU infrastructure.
Familiarity with structured cabling, LVC, and fiber documentation.
Experience managing contractors, vendors, GCs, and A/E firms.
Strong ownership across strategy, design, execution, and operations.
Ability to operate at strategic and hands-on levels.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\nAs Baseten’s Head of Data Center Infrastructure, you’ll own the strategy, design, and execution of our first-generation GPU data centers. We lease powered shells—but everything inside the building is on us: power distribution, cooling, rack design, structured cabling / low-voltage systems, and the operational foundations to scale to tens, then hundreds of megawatts.\nThis is a high-ownership, hands-on leadership role. You’ll act as the technical authority across facility design and build, working closely with contractors, vendors, and internal teams to bring new capacity online quickly and reliably. Your decisions will directly impact how fast we deploy GPUs and how efficiently they run.\n\n\nEXAMPLE INITIATIVES\n\n - First site build — Deliver high-density GPU infrastructure inside a powered shell.\n\n - Power and cooling architecture — Design systems supporting 150kW+ rack densities.\n\n - Structured cabling and LVC — Define cable plant standards, pathways, labeling, and contractor scope.\n\n - Site standardization — Create repeatable designs for scaling across multiple sites.\n \n \n\nRESPONSIBILITIES\n\n - Own data center infrastructure strategy, design, and execution.\n\n - Define electrical, mechanical, and physical network infrastructure architecture.\n\n - Lead power, cooling, cabling, and rack design decisions.\n\n - Own commissioning, failover testing, and thermal validation.\n\n - Manage A/E firms, GCs, vendors, and low-voltage contractors.\n\n - Establish maintenance programs, runbooks, as-builts, and deployment standards.\n\n - Build and lead the data center engineering and operations functions.\n \n \n\nREQUIREMENTS\n\n - Experience designing and delivering data centers or large-scale infrastructure.\n\n - Deep knowledge of electrical distribution and cooling systems.\n\n - Experience with high-density racks and GPU infrastructure.\n\n - Familiarity with structured cabling, LVC, and fiber documentation.\n\n - Experience managing contractors, vendors, GCs, and A/E firms.\n\n - Strong ownership across strategy, design, execution, and operations.\n\n - Ability to operate at strategic and hands-on levels.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"cf7fa477-0290-4846-9294-f7bc006ae997","title":"Software Engineer- GPU Fabric Observability","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-07-07T16:50:09.338+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/cf7fa477-0290-4846-9294-f7bc006ae997","applyUrl":"https://jobs.ashbyhq.com/baseten/cf7fa477-0290-4846-9294-f7bc006ae997/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Baseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density NVIDIA systems, the hardest failures are intermittent, cross-layer, and difficult to prove: RoCE congestion, InfiniBand stalls, ECN/DCQCN mis-tuning, bad optics, RNIC issues, host kernel stalls, GPU driver problems, and workload symptoms that look like network problems, but are not.
We are hiring a Lead Software Engineer to build a first-class observability and root-cause analysis system for GPU fabrics. This is a hard distributed systems problem, not a dashboarding problem. The system will collect high-volume signals from switches, hosts, active probes, and inference services; reduce and correlate them in real time; understand topology and service ownership; and produce actionable diagnosis while an incident is still unfolding.
This role sits at the boundary between networking and inference software. RDMA data paths, GPUDirect transfers, prefill/decode disaggregation, KV cache movement, request routing, and workload backpressure can all create fabric symptoms or hide real fabric failures. The goal is to tell an operator, quickly and with evidence, whether an incident is caused by the fabric, host, NIC, GPU, RDMA path, scheduler, or serving layer — and what to do next.
EXAMPLE INITIATIVES
Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fabric, host, GPU, and workload telemetry.
Service-aware fabric diagnosis — Build collectors, probes, and topology-aware correlation to detect latency, drops, stalls, congestion, bad paths, and degradation.
Software-aware RDMA diagnosis — Tie network behavior to RDMA operations, GPUDirect paths, KV cache transfers, prefill/decode disaggregation, and request latency.
RESPONSIBILITIES
Own Baseten’s GPU fabric observability and root-cause analysis architecture.
Build telemetry pipelines across switches, NICs, hosts, GPUs, Kubernetes, and inference services.
Model topology, flow paths, service ownership, and failure domains.
Separate true fabric faults from host, NIC, GPU, kernel, driver, RDMA, scheduler, and workload failures.
Create clear operator workflows for triage, remediation, and post-incident learning.
REQUIREMENTS
Staff-level or senior staff-level experience building production infrastructure software.
Strong distributed systems background, especially streaming systems, telemetry pipelines, diagnostics, or control-plane software.
Experience building systems that process high-volume, high-cardinality, noisy operational data.
Understanding of networking fundamentals and high-performance networks
Ability to work with low-level infrastructure signals and build practical correlation, anomaly detection, or root-cause analysis systems.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\nBaseten is building its own GPU infrastructure for large-scale inference. As we move into large scale, high-density NVIDIA systems, the hardest failures are intermittent, cross-layer, and difficult to prove: RoCE congestion, InfiniBand stalls, ECN/DCQCN mis-tuning, bad optics, RNIC issues, host kernel stalls, GPU driver problems, and workload symptoms that look like network problems, but are not.\n\n\nWe are hiring a Lead Software Engineer to build a first-class observability and root-cause analysis system for GPU fabrics. This is a hard distributed systems problem, not a dashboarding problem. The system will collect high-volume signals from switches, hosts, active probes, and inference services; reduce and correlate them in real time; understand topology and service ownership; and produce actionable diagnosis while an incident is still unfolding.\n\n\nThis role sits at the boundary between networking and inference software. RDMA data paths, GPUDirect transfers, prefill/decode disaggregation, KV cache movement, request routing, and workload backpressure can all create fabric symptoms or hide real fabric failures. The goal is to tell an operator, quickly and with evidence, whether an incident is caused by the fabric, host, NIC, GPU, RDMA path, scheduler, or serving layer — and what to do next.\n\n\nEXAMPLE INITIATIVES\n\n - Real-time telemetry engine — Build the ingestion, reduction, storage, and query path for high-cardinality fabric, host, GPU, and workload telemetry.\n\n - Service-aware fabric diagnosis — Build collectors, probes, and topology-aware correlation to detect latency, drops, stalls, congestion, bad paths, and degradation.\n\n - Software-aware RDMA diagnosis — Tie network behavior to RDMA operations, GPUDirect paths, KV cache transfers, prefill/decode disaggregation, and request latency.\n \n \n\nRESPONSIBILITIES\n\n - Own Baseten’s GPU fabric observability and root-cause analysis architecture.\n\n - Build telemetry pipelines across switches, NICs, hosts, GPUs, Kubernetes, and inference services.\n\n - Model topology, flow paths, service ownership, and failure domains.\n\n - Separate true fabric faults from host, NIC, GPU, kernel, driver, RDMA, scheduler, and workload failures.\n\n - Create clear operator workflows for triage, remediation, and post-incident learning.\n \n \n\nREQUIREMENTS\n\n - Staff-level or senior staff-level experience building production infrastructure software.\n\n - Strong distributed systems background, especially streaming systems, telemetry pipelines, diagnostics, or control-plane software.\n\n - Experience building systems that process high-volume, high-cardinality, noisy operational data.\n\n - Understanding of networking fundamentals and high-performance networks\n\n - Ability to work with low-level infrastructure signals and build practical correlation, anomaly detection, or root-cause analysis systems.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"d073254f-729c-471e-9a33-520358ead183","title":"Software Engineer - Billing and Internal Tooling","department":"EPD","team":"Dedicated Inference","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-02-27T03:31:04.256+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/d073254f-729c-471e-9a33-520358ead183","applyUrl":"https://jobs.ashbyhq.com/baseten/d073254f-729c-471e-9a33-520358ead183/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE:
As a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure.
As we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience.
RESPONSIBILITIES:
Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations.
Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams.
Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting).
Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth.
Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks.
Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity.
Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes.
REQUIREMENTS:
Bachelor's degree or higher in Computer Science or related field
Experience with billing systems or building internal tools
Deep knowledge of the web stack & databases
Strong collaboration and communication skills
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE:\nAs a Software Engineer at Baseten, you will own one of the most critical surfaces of our business: pricing, billing, and revenue infrastructure.\n\nAs we launch more and more products— billing is no longer just operational plumbing. It is a strategic lever for growth. This role will establish clear ownership of billing as a function and create leverage for Finance, Sales, and GTM teams while maintaining a seamless customer experience.\n\nRESPONSIBILITIES:\n\n - Own Baseten’s end-to-end billing and revenue infrastructure, including pricing, invoicing, metering, and reporting foundations.\n\n - Build and evolve our billing platform and integrations (including Orb), ensuring correctness, auditability, and a high-trust experience for customers and internal teams.\n\n - Partner closely with Finance, Sales, GTM, and Forward Deployed Engineering to turn real-world workflows into reliable internal tooling and automation (quoting, approvals, renewals, usage reconciliation, revenue reporting).\n\n - Design systems that scale with new products, packaging, and go-to-market motions, making billing a strategic lever for growth.\n\n - Drive reliability and operational excellence for revenue-critical workflows: monitoring, alerting, incident response, backfills, and clear runbooks.\n\n - Lead from the front on high-impact projects: clarify requirements, propose crisp technical approaches, ship iteratively, and raise the bar on quality and velocity.\n\n - Debug and resolve production issues with urgency, communicating clearly with stakeholders and closing the loop with durable fixes.\n\n\nREQUIREMENTS:\n\n - Bachelor's degree or higher in Computer Science or related field\n\n - Experience with billing systems or building internal tools\n\n - Deep knowledge of the web stack & databases\n\n - Strong collaboration and communication skills\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"d29e748c-7209-460d-a024-8f77ae0a3d4d","title":"Software Engineer - Model Performance","department":"EPD","team":"Model Performance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2024-03-28T21:01:24.780+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/d29e748c-7209-460d-a024-8f77ae0a3d4d","applyUrl":"https://jobs.ashbyhq.com/baseten/d29e748c-7209-460d-a024-8f77ae0a3d4d/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Are you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
RESPONSIBILITIES
Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues.
Apply and scale optimization techniques across a wide range of ML models, particularly large language models.
Collaborate with a diverse team to design and implement innovative solutions.
Own projects from idea to production.
REQUIREMENTS
Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.
Experience with one or more general-purpose programming languages, such as Python or C++.
Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).
Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.
Demonstrated interest and experience in LLM’s.
Deep understanding of GPU architecture.
Bonus:
Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs).
Experience with CUDA or similar technologies.
Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.
Experience with Docker and Kubernetes.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAre you passionate about advancing the application of artificial intelligence? We are looking for a Software Engineer focused on ML performance to join our dynamic team. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM Inference. If you are a backend engineer who thrives on making things faster and is excited about open-source ML models, we look forward to your application.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Model Performance team:\n\n - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/\n\n - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/\n\n - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/\n\n\nRESPONSIBILITIES\n\n - Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.\n\n - Deep dive into underlying codebases of TensorRT, PyTorch, TensorRT-LLM, vllm, sglang, CUDA, and other libraries to debug ML performance issues.\n\n - Apply and scale optimization techniques across a wide range of ML models, particularly large language models.\n\n - Collaborate with a diverse team to design and implement innovative solutions.\n\n - Own projects from idea to production.\n\n\n\nREQUIREMENTS\n\n - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.\n\n - Experience with one or more general-purpose programming languages, such as Python or C++.\n\n - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching).\n\n - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM.\n\n - Demonstrated interest and experience in LLM’s.\n\n - Deep understanding of GPU architecture.\n\n - Bonus:\n \n - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs).\n \n - Experience with CUDA or similar technologies.\n \n - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions.\n \n - Experience with Docker and Kubernetes.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"dd166491-a4a2-4fb8-b42a-6a60e4049d15","title":"OS / K8s Systems Engineer","department":"EPD","team":"Hardware Virtualization","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2026-05-01T19:18:07.586+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/dd166491-a4a2-4fb8-b42a-6a60e4049d15","applyUrl":"https://jobs.ashbyhq.com/baseten/dd166491-a4a2-4fb8-b42a-6a60e4049d15/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an OS / K8s Systems Engineer at Baseten, you’ll build the automation and systems that turn raw GPU hardware into production-ready compute. From provisioning to orchestration, you’ll own the software layer that makes our infrastructure reproducible, scalable, and reliable across data centers.
This is a senior, hands-on role focused on building systems not operating them. You’ll work close to the metal designing OS images, building provisioning pipelines, and automating cluster bring-up from scratch. Your work will define how quickly we can turn new capacity into usable compute.
EXAMPLE INITIATIVES
Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster.
Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management.
Reproducible infrastructure — Ensure clusters deploy consistently across data centers.
RESPONSIBILITIES
Own the end-to-end automation of cluster bring-up and lifecycle management.
Build and maintain OS images, provisioning systems, and configuration pipelines.
Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar).
Design systems for reproducibility across sites and hardware generations.
Automate upgrades, rollouts, and failure recovery.
Optimize system performance, including GPU utilization and networking.
Partner with hardware and network teams to validate and improve system behavior.
REQUIREMENTS
Experience building and operating automated infrastructure systems.
Strong programming skills (e.g., Python, Go, or similar).
Deep familiarity with Linux systems, including boot processes, drivers, and performance.
Experience with provisioning systems (PXE, imaging, configuration management).
Experience with Kubernetes.
Strong debugging skills across system layers (hardware → OS → network).
Experience working with GPU or high-performance workloads is a plus.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an OS / K8s Systems Engineer at Baseten, you’ll build the automation and systems that turn raw GPU hardware into production-ready compute. From provisioning to orchestration, you’ll own the software layer that makes our infrastructure reproducible, scalable, and reliable across data centers.\n\nThis is a senior, hands-on role focused on building systems not operating them. You’ll work close to the metal designing OS images, building provisioning pipelines, and automating cluster bring-up from scratch. Your work will define how quickly we can turn new capacity into usable compute.\n\n\n\nEXAMPLE INITIATIVES\n\n - Zero-to-cluster automation Build workflows that take new hardware from unprovisioned to fully operational cluster.\n\n - Provisioning systems Design PXE-based or equivalent systems for imaging and lifecycle management.\n\n - Reproducible infrastructure — Ensure clusters deploy consistently across data centers.\n \n \n\nRESPONSIBILITIES\n\n - Own the end-to-end automation of cluster bring-up and lifecycle management.\n\n - Build and maintain OS images, provisioning systems, and configuration pipelines.\n\n - Deploy and operate cluster orchestration platforms (Kubernetes, Slurm, or similar).\n\n - Design systems for reproducibility across sites and hardware generations.\n\n - Automate upgrades, rollouts, and failure recovery.\n\n - Optimize system performance, including GPU utilization and networking.\n\n - Partner with hardware and network teams to validate and improve system behavior.\n \n \n\nREQUIREMENTS\n\n - Experience building and operating automated infrastructure systems.\n\n - Strong programming skills (e.g., Python, Go, or similar).\n\n - Deep familiarity with Linux systems, including boot processes, drivers, and performance.\n\n - Experience with provisioning systems (PXE, imaging, configuration management).\n\n - Experience with Kubernetes.\n\n - Strong debugging skills across system layers (hardware → OS → network).\n\n - Experience working with GPU or high-performance workloads is a plus.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ddb5bc98-6116-49a2-802e-1c05398663f1","title":"Software Engineer - GPU Kernels","department":"EPD","team":"Kernels","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2025-07-17T22:46:46.595+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ddb5bc98-6116-49a2-802e-1c05398663f1","applyUrl":"https://jobs.ashbyhq.com/baseten/ddb5bc98-6116-49a2-802e-1c05398663f1/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.
You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Model Performance team:
RESPONSIBILITIES
Core Engineering Responsibilities
Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap
Performance & Innovation
Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap
Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
Collaborate with research teams to productionize theoretical advancements
Impact & Collaboration
Contribute to internal and open-source GPU libraries
Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)
REQUIREMENTS
Strong understanding of GPU architecture and programming paradigms:
Memory hierarchy (global, shared, registers, L1/L2 cache)
Thread/block/grid organization
Synchronization techniques and race condition mitigation
Proficient in C++ and GPU performance profiling tools
Knowledge of:
CUDA C++ API
Memory access patterns and bandwidth optimization
Numerical precision and quantization strategies
Modern GPU features (e.g., tensor cores, async operations)
NICE TO HAVE
Experience with Transformer models and attention optimization (e.g., Flash Attention)
Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
Background in GEMM tuning and distributed/multi-GPU compute
Contributions to open-source GPU projects
Research publications or conference presentations on GPU performance
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.\n\nYou'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Model Performance team:\n\n - Baseten Embeddings Inference: The fastest embeddings solution available https://www.baseten.co/blog/introducing-baseten-embeddings-inference-bei/\n\n - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/\n\n - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/\n\n\n\nRESPONSIBILITIES\n\nCore Engineering Responsibilities\n\n - Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing\n\n - Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques\n\n - Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap\n\nPerformance & Innovation\n\n - Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap\n\n - Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler\n\n - Collaborate with research teams to productionize theoretical advancements\n\nImpact & Collaboration\n\n - Contribute to internal and open-source GPU libraries\n\n - Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)\n\n\n\nREQUIREMENTS\n\n - Strong understanding of GPU architecture and programming paradigms:\n \n - Memory hierarchy (global, shared, registers, L1/L2 cache)\n \n - Thread/block/grid organization\n \n - Synchronization techniques and race condition mitigation\n\n - Proficient in C++ and GPU performance profiling tools\n\n - Knowledge of:\n \n - CUDA C++ API\n \n - Memory access patterns and bandwidth optimization\n \n - Numerical precision and quantization strategies\n \n - Modern GPU features (e.g., tensor cores, async operations)\n\n\n\nNICE TO HAVE\n\n - Experience with Transformer models and attention optimization (e.g., Flash Attention)\n\n - Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB\n\n - Background in GEMM tuning and distributed/multi-GPU compute\n\n - Contributions to open-source GPU projects\n\n - Research publications or conference presentations on GPU performance\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"df2f0ebb-a84a-45c2-bc74-dc9589fcc1ae","title":"Account Executive - AI Native: Startups","department":"GTM","team":"Startups","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2025-08-25T20:49:52.050+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/df2f0ebb-a84a-45c2-bc74-dc9589fcc1ae","applyUrl":"https://jobs.ashbyhq.com/baseten/df2f0ebb-a84a-45c2-bc74-dc9589fcc1ae/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.
RESPONSIBILITIES
Help build the foundation and processes for customer-facing teams at Baseten
Lead, negotiate, and execute new sales opportunities for Baseten
In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets
Establish and maintain relationships with key stakeholders within sales accounts
Work cross-functionally to improve the customer experience and ensure sales effectiveness
REQUIREMENTS
1-3 years of sales experience in a SaaS business
Experience in selling to technical audiences
Experience with developer/machine-learning tooling preferred, but not required
Proven ability to close complex sales cycles
Proficiency with sales and marketing automation tools
Interest in working at an early-stage, fast-paced startup
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe are looking for an Account Executive to join our dynamic team. This role is a great fit for those with sales experience looking to grow within a high-growth startup environment. As an Account Executive, you will prospect and close new business alongside our founders and Marketing team. You’ll consult with our existing customer base and prospective customers to build meaningful relationships and shape our product and go-to-market roadmaps.\n\n\n\nRESPONSIBILITIES\n\n - Help build the foundation and processes for customer-facing teams at Baseten\n\n - Lead, negotiate, and execute new sales opportunities for Baseten\n\n - In partnership with the marketing and BDR team, develop a strong sales pipeline to support quarterly and annual sales targets\n\n - Establish and maintain relationships with key stakeholders within sales accounts\n\n - Work cross-functionally to improve the customer experience and ensure sales effectiveness\n\n\n\nREQUIREMENTS\n\n - 1-3 years of sales experience in a SaaS business\n\n - Experience in selling to technical audiences\n\n - Experience with developer/machine-learning tooling preferred, but not required\n\n - Proven ability to close complex sales cycles\n\n - Proficiency with sales and marketing automation tools\n\n - Interest in working at an early-stage, fast-paced startup\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"e2638fb0-15c8-4109-b7ee-70df1325885d","title":"Software Engineer - Enterprise Platform","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2025-08-21T03:27:03.455+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/e2638fb0-15c8-4109-b7ee-70df1325885d","applyUrl":"https://jobs.ashbyhq.com/baseten/e2638fb0-15c8-4109-b7ee-70df1325885d/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Infrastructure team:
RESPONSIBILITIES
Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.
Lead technical initiatives to productize secure and scalable private connectivity solutions.
Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.
Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.
Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.
Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.
Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.
Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments
Past experience working with enterprise security, compliance, and privacy requirements
Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization
Demonstrated ability to independently manage technical projects, from planning and specification through implementation
Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers
Preferred experience working with AI/ML systems or familiarity with MLOps practices
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Infrastructure team:\n\n - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/\n\n - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/\n\n - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/\n\n - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/\n\n\n\nRESPONSIBILITIES\n\n - Architect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.\n\n - Lead technical initiatives to productize secure and scalable private connectivity solutions.\n\n - Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.\n\n - Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.\n\n - Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.\n\n - Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.\n\n - Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.\n\n - Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.\n\n\n\nREQUIREMENTS\n\n - Bachelor's degree or higher in Computer Science or related field\n\n - 5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environments\n\n - Past experience working with enterprise security, compliance, and privacy requirements\n\n - Advanced understanding of distributed systems concepts, cloud architectures, and performance optimization\n\n - Demonstrated ability to independently manage technical projects, from planning and specification through implementation\n\n - Excellent collaboration and communication skills, with experience coordinating across functional teams and directly with customers\n\n - Preferred experience working with AI/ML systems or familiarity with MLOps practices\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ebd93dba-ffdb-4b34-b9d4-2b72be3914f5","title":"Infrastructure Finance Lead","department":"G&A","team":"Finance","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-04-28T02:58:18.346+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ebd93dba-ffdb-4b34-b9d4-2b72be3914f5","applyUrl":"https://jobs.ashbyhq.com/baseten/ebd93dba-ffdb-4b34-b9d4-2b72be3914f5/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
We're hiring an Infrastructure Finance Lead to own the operating P&L for Baseten's compute infrastructure. In this role, you'll be a key partner to our Infra, Capacity Planning, and Inference Engineering teams — providing the financial expertise to keep our footprint on budget, drive unit cost down, and de-risk our largest infrastructure exposures. You'll own the near-term forecast for compute spend, run budget-vs-actual against contracted capacity, and serve as the primary finance counterpart to our cloud and GPU operating partners.The ideal candidate has strong analytical skills paired with excellent operational execution, and a track record of success in high-growth infrastructure or platform businesses.
THE RESPONSIBILITIES
Compute & Infrastructure Strategic Finance
Own Strategic Finance for all live compute spend, including Cloud and GPU Capacity.
Build and maintain per-region and per-partner cost forecasts; refresh on a cadence that supports monthly business reviews and quarterly board reporting.
Run budget-vs-actual on capacity commitments and infrastructure programs, tracking expected eventual spend against approved commitments and customer-driven demand.
Strategic Projects
Lead financial analysis for capacity-mix decisions, multi-region buildouts on key infrastructure components.
Handle operational finance asks tied to compute partners and live capacity — pricing reviews, true-ups, capacity reshuffles, and contract amendments.
Partner with the Infra and BD leads on deal-to-operations handoffs, ensuring budgets set at contract signing are operationalized at go-live and tracked through their full term.
Build the analytical backbone for gross margin, COGS attribution by customer and model family, and infrastructure ROI on new capacity bets.
THE REQUIREMENTS
7-10+ years of investment banking experience in Infrastructure
Strong financial modeling, analytical, and problem-solving skills with the ability to independently see issues through to resolution, including building complex unit-economics and capacity-planning models.
Comfort being the finance person in the partner/vendor room and partnering with deeply technical operating teams (infra engineering, capacity, SRE).
Proven track record of managing multiple work streams under tight timelines, with best-in-class attention to detail and unwavering commitment to accuracy.
Exemplary interpersonal skills to translate financial data into actionable insights for senior leadership and non-finance stakeholders.
Strong enthusiasm about technology and artificial intelligence, and a desire to work at the intersection of finance and the compute supply chain powering the AI era.
STRONG CANDIDATES MAY ALSO HAVE
Direct experience with cloud commitment economics (committed-use discounts, reserved capacity, savings plans), GPU procurement.
Experience managing finance cadence with a third-party cloud, colocation, or managed-services provider.
Background in AI, ML, or high-performance, large-scale computing infrastructure.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nWe're hiring an Infrastructure Finance Lead to own the operating P&L for Baseten's compute infrastructure. In this role, you'll be a key partner to our Infra, Capacity Planning, and Inference Engineering teams — providing the financial expertise to keep our footprint on budget, drive unit cost down, and de-risk our largest infrastructure exposures. You'll own the near-term forecast for compute spend, run budget-vs-actual against contracted capacity, and serve as the primary finance counterpart to our cloud and GPU operating partners.The ideal candidate has strong analytical skills paired with excellent operational execution, and a track record of success in high-growth infrastructure or platform businesses.\n\n\n\nTHE RESPONSIBILITIES\n\nCompute & Infrastructure Strategic Finance\n\n - Own Strategic Finance for all live compute spend, including Cloud and GPU Capacity.\n\n - Build and maintain per-region and per-partner cost forecasts; refresh on a cadence that supports monthly business reviews and quarterly board reporting.\n\n - Run budget-vs-actual on capacity commitments and infrastructure programs, tracking expected eventual spend against approved commitments and customer-driven demand.\n\n\n\nStrategic Projects\n\n - Lead financial analysis for capacity-mix decisions, multi-region buildouts on key infrastructure components.\n\n - Handle operational finance asks tied to compute partners and live capacity — pricing reviews, true-ups, capacity reshuffles, and contract amendments.\n\n - Partner with the Infra and BD leads on deal-to-operations handoffs, ensuring budgets set at contract signing are operationalized at go-live and tracked through their full term.\n\n - Build the analytical backbone for gross margin, COGS attribution by customer and model family, and infrastructure ROI on new capacity bets.\n \n \n\nTHE REQUIREMENTS\n\n - 7-10+ years of investment banking experience in Infrastructure\n\n - Strong financial modeling, analytical, and problem-solving skills with the ability to independently see issues through to resolution, including building complex unit-economics and capacity-planning models.\n\n - Comfort being the finance person in the partner/vendor room and partnering with deeply technical operating teams (infra engineering, capacity, SRE).\n\n - Proven track record of managing multiple work streams under tight timelines, with best-in-class attention to detail and unwavering commitment to accuracy.\n\n - Exemplary interpersonal skills to translate financial data into actionable insights for senior leadership and non-finance stakeholders.\n\n - Strong enthusiasm about technology and artificial intelligence, and a desire to work at the intersection of finance and the compute supply chain powering the AI era.\n \n \n\nSTRONG CANDIDATES MAY ALSO HAVE\n\n - Direct experience with cloud commitment economics (committed-use discounts, reserved capacity, savings plans), GPU procurement.\n\n - Experience managing finance cadence with a third-party cloud, colocation, or managed-services provider.\n\n - Background in AI, ML, or high-performance, large-scale computing infrastructure.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"f5077169-a944-41ca-a851-878b146811b6","title":"Head of Legal Operations","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-06-02T21:42:11.605+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/f5077169-a944-41ca-a851-878b146811b6","applyUrl":"https://jobs.ashbyhq.com/baseten/f5077169-a944-41ca-a851-878b146811b6/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
Baseten's legal function is built to scale with the business without scaling headcount linearly — through playbooks, templates, automation, and AI-assisted workflows that let a small team move at the company's speed. We're hiring a Head of Legal Operations to own and build that engine.
This is a senior, hands-on operations role for someone who has run legal ops inside a high-growth technology company and knows how to turn a lean legal team into a force multiplier. You'll own the systems — CLM, intake and triage, knowledge management, reporting, outside counsel, and budget — and you'll push the frontier on legal tooling and AI, building on the agentic, Slack-driven intake and contract-automation infrastructure the function already runs. Your center of gravity is building and running the legal team's operating system.
RESPONSIBILITIES
Own the legal side of contract lifecycle management — intake, routing, templates, repository, and reporting — in close coordination with RevOps and Sales Ops, whose Order Form, CPQ, and contract-management systems the legal workflow flows from
Partner with RevOps and Sales Ops as the legal lead on Order Form, CPQ, and contract-management decisions, stepping in to drive these cross-functional workstreams on the CLO's behalf
Design and run the legal intake and triage workflow (today, a Slack-based, human-in-the-loop pipeline), continuously improving how requests are classified, drafted, reviewed, and closed
Lead legal-technology and AI strategy with a bias toward building over buying: design and build AI-assisted and agentic workflows (e.g., Claude Cowork) before reaching for off-the-shelf tools, while bringing sharp vendor-selection judgment to the systems worth buying
Build the data and reporting layer — cycle times, deal volume, risk snapshots, program health — that gives the CLO and leadership a clear line of sight
Own knowledge management: keep playbooks, briefs, and templates current, versioned, and findable, and make them the source of truth for the team and the business
Manage outside counsel operations and the legal budget — panel management, engagement, spend tracking, matter management — with an eye on scope and cost
Build and run the operational cadences (intake SLAs, approval gates, cross-functional handoffs with Sales, Finance, and Security) that keep the function fast and accountable
Partner with the CLO to design the operating model as the team grows toward IPO, and own program management of legal initiatives end to end
May assist on M&A and other strategic or one-off transactions as needed — e.g., diligence, data-room, and integration operations
REQUIREMENTS
7+ years in legal operations at a high-growth technology company, including ownership of a legal-ops program (not just supporting one)
Deep hands-on experience with CLM systems and legal tooling — selection, implementation, and day-to-day operation
Track record of building process and workflow that measurably reduced cycle time or cost in a lean legal environment
Fluency with data and reporting — you can build the dashboards and metrics leadership actually uses
Strong cross-functional operator who can work across Legal, RevOps, Sales Ops, Finance, Security, and IT and drive adoption
Clear, direct communicator who can translate operational design into something the team will actually use
Fluency — or a clear path to fluency — in building and managing agentic AI workflows (e.g., Claude Cowork), with a bias toward building over buying and the judgment to know when to buy
The ability to learn, build, and master AI tooling and systems to self-serve and operate at breakneck speed
A desire to become a recognized thought leader in legal operations and to help define what a modern, AI-native legal-ops function looks like
NICE TO HAVE
Experience at an AI, developer-infrastructure, or high-velocity SaaS company
Hands-on experience with AI-assisted legal tools and an interest in agentic / automated legal workflows
Outside-counsel management, legal spend / budget, or matter-management program ownership
Experience standing up a legal-ops function from an early stage
CLOC or comparable legal-ops community involvement
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nBaseten's legal function is built to scale with the business without scaling headcount linearly — through playbooks, templates, automation, and AI-assisted workflows that let a small team move at the company's speed. We're hiring a Head of Legal Operations to own and build that engine.\n\nThis is a senior, hands-on operations role for someone who has run legal ops inside a high-growth technology company and knows how to turn a lean legal team into a force multiplier. You'll own the systems — CLM, intake and triage, knowledge management, reporting, outside counsel, and budget — and you'll push the frontier on legal tooling and AI, building on the agentic, Slack-driven intake and contract-automation infrastructure the function already runs. Your center of gravity is building and running the legal team's operating system.\n\n\n\nRESPONSIBILITIES\n\n - Own the legal side of contract lifecycle management — intake, routing, templates, repository, and reporting — in close coordination with RevOps and Sales Ops, whose Order Form, CPQ, and contract-management systems the legal workflow flows from\n\n - Partner with RevOps and Sales Ops as the legal lead on Order Form, CPQ, and contract-management decisions, stepping in to drive these cross-functional workstreams on the CLO's behalf\n\n - Design and run the legal intake and triage workflow (today, a Slack-based, human-in-the-loop pipeline), continuously improving how requests are classified, drafted, reviewed, and closed\n\n - Lead legal-technology and AI strategy with a bias toward building over buying: design and build AI-assisted and agentic workflows (e.g., Claude Cowork) before reaching for off-the-shelf tools, while bringing sharp vendor-selection judgment to the systems worth buying\n\n - Build the data and reporting layer — cycle times, deal volume, risk snapshots, program health — that gives the CLO and leadership a clear line of sight\n\n - Own knowledge management: keep playbooks, briefs, and templates current, versioned, and findable, and make them the source of truth for the team and the business\n\n - Manage outside counsel operations and the legal budget — panel management, engagement, spend tracking, matter management — with an eye on scope and cost\n\n - Build and run the operational cadences (intake SLAs, approval gates, cross-functional handoffs with Sales, Finance, and Security) that keep the function fast and accountable\n\n - Partner with the CLO to design the operating model as the team grows toward IPO, and own program management of legal initiatives end to end\n\n - May assist on M&A and other strategic or one-off transactions as needed — e.g., diligence, data-room, and integration operations\n \n \n\nREQUIREMENTS\n\n - 7+ years in legal operations at a high-growth technology company, including ownership of a legal-ops program (not just supporting one)\n\n - Deep hands-on experience with CLM systems and legal tooling — selection, implementation, and day-to-day operation\n\n - Track record of building process and workflow that measurably reduced cycle time or cost in a lean legal environment\n\n - Fluency with data and reporting — you can build the dashboards and metrics leadership actually uses\n\n - Strong cross-functional operator who can work across Legal, RevOps, Sales Ops, Finance, Security, and IT and drive adoption\n\n - Clear, direct communicator who can translate operational design into something the team will actually use\n\n - Fluency — or a clear path to fluency — in building and managing agentic AI workflows (e.g., Claude Cowork), with a bias toward building over buying and the judgment to know when to buy\n\n - The ability to learn, build, and master AI tooling and systems to self-serve and operate at breakneck speed\n\n - A desire to become a recognized thought leader in legal operations and to help define what a modern, AI-native legal-ops function looks like\n \n \n\nNICE TO HAVE\n\n - Experience at an AI, developer-infrastructure, or high-velocity SaaS company\n\n - Hands-on experience with AI-assisted legal tools and an interest in agentic / automated legal workflows\n\n - Outside-counsel management, legal spend / budget, or matter-management program ownership\n\n - Experience standing up a legal-ops function from an early stage\n\n - CLOC or comparable legal-ops community involvement\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"fc6e5f2e-eb2d-4a6c-8a51-8422e8662bde","title":"Product Engineer - Dedicated Inference ","department":"EPD","team":"Dedicated Inference","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Toronto","address":{"postalAddress":{"addressCountry":"Canada"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}},{"location":"Montreal","address":{"postalAddress":{"addressRegion":"Québec","addressCountry":"Canada","addressLocality":"Montreal"}}}],"publishedAt":"2024-07-09T17:24:19.832+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/fc6e5f2e-eb2d-4a6c-8a51-8422e8662bde","applyUrl":"https://jobs.ashbyhq.com/baseten/fc6e5f2e-eb2d-4a6c-8a51-8422e8662bde/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Product Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.
Few teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.
EXAMPLE INITIATIVES
You'll get to work on these types of projects as part of our Dedicated Inference team:
RESPONSIBILITIES
Implement new features and products for the team
Design ergonomic APIs and abstractions to solve customer problems
Fix bugs and resolve customer issues with urgency
Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods
Work closely with the product and forward deployed engineering teams to develop and drive new product ideas
REQUIREMENTS
Bachelor's degree or higher in Computer Science or related field
Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or Javascript proficiency is a plus
Familiarity with web applications & databases
Good taste in product, particularly developer-oriented tools
Interest in ML/AI infrastructure and willingness to learn
Strong collaboration and communication skills
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Product Engineer on the Dedicated Inference team, you'll shape the state-of-the-art developer experience for deploying and operating AI workloads in production. From the CLI and SDKs to APIs, observability, and debugging workflows, you'll build the tools customers rely on every day to manage mission-critical inference deployments.\n\nFew teams at Baseten have as much breadth and visibility as Dedicated Inference. The team is often at the forefront of new product development, giving engineers the opportunity to shape the experience of some of our most important customers.\n\n\n\nEXAMPLE INITIATIVES\n\nYou'll get to work on these types of projects as part of our Dedicated Inference team:\n\n - Chains for multi-component workflows https://www.baseten.co/blog/baseten-chains-explained/\n\n - Asynchronous inference https://www.baseten.co/blog/using-asynchronous-inference-in-production/\n\n - Model APIs for frontier models https://www.baseten.co/products/model-apis/\n\n - Model training built for production inference https://www.baseten.co/products/training/\n\n\n\nRESPONSIBILITIES\n\n - Implement new features and products for the team\n\n - Design ergonomic APIs and abstractions to solve customer problems\n\n - Fix bugs and resolve customer issues with urgency\n\n - Work across the stack - regardless of where you start, you’ll end up touching both React Components and Kubernetes Pods\n\n - Work closely with the product and forward deployed engineering teams to develop and drive new product ideas\n\n\n\nREQUIREMENTS\n\n - Bachelor's degree or higher in Computer Science or related field\n\n - Proficient coding abilities in one or more popular programming or scripting languages; Python, Go, or Javascript proficiency is a plus\n\n - Familiarity with web applications & databases\n\n - Good taste in product, particularly developer-oriented tools\n\n - Interest in ML/AI infrastructure and willingness to learn\n\n - Strong collaboration and communication skills\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"fdbbf773-0857-4771-8b90-f3dfa1d8683f","title":"Sales Development Representative - Outbound ","department":"GTM","team":"Sales","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2025-02-05T22:29:16.013+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/fdbbf773-0857-4771-8b90-f3dfa1d8683f","applyUrl":"https://jobs.ashbyhq.com/baseten/fdbbf773-0857-4771-8b90-f3dfa1d8683f/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As an Outbound Sales Development Representative at Baseten, you'll drive strategic outbound into a defined set of target accounts - partnering closely with your Account Executive to research key decision-makers and break through via cold calls, email, and LinkedIn. Together, you'll turn cold accounts into qualified pipeline.
RESPONSIBILITIES
Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.
Help influence Baseten's product roadmap for customers and prospects.
Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten.
Stay up-to-date on market trends, competition, and industry developments.
Manage and document the progression of the sales pipeline.
Drive pre- & post-engagement at industry events (will attend multiple events in person).
REQUIREMENTS
1+ year of experience in a sales/lead generation role in a high-tech/SaaS company.
Ability to develop strong, long-lasting relationships both internally and externally.
Collaborative and coachable, always looking to improve your skills and impact.
Ability to handle rejection and stay persistent in pursuing leads.
Excellent verbal and written communication skills.
A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.).
Excellent time management, process, and prioritization skills.
Preferred experience with Cloud or Security sales.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs an Outbound Sales Development Representative at Baseten, you'll drive strategic outbound into a defined set of target accounts - partnering closely with your Account Executive to research key decision-makers and break through via cold calls, email, and LinkedIn. Together, you'll turn cold accounts into qualified pipeline.\n\n \n\nRESPONSIBILITIES\n\n - Build revenue pipeline by setting introductory meetings with potential businesses and key decision makers.\n\n - Help influence Baseten's product roadmap for customers and prospects.\n\n - Identify high-potential businesses and verticals and develop and execute outbound strategies to bring them to Baseten.\n\n - Stay up-to-date on market trends, competition, and industry developments.\n\n - Manage and document the progression of the sales pipeline.\n\n - Drive pre- & post-engagement at industry events (will attend multiple events in person).\n\n\n\nREQUIREMENTS\n\n - 1+ year of experience in a sales/lead generation role in a high-tech/SaaS company.\n\n - Ability to develop strong, long-lasting relationships both internally and externally.\n\n - Collaborative and coachable, always looking to improve your skills and impact.\n\n - Ability to handle rejection and stay persistent in pursuing leads.\n\n - Excellent verbal and written communication skills.\n\n - A basic understanding of a standard SaaS seller's technical stack (CRM, Outreach/Salesloft, Prospect Research, etc.).\n\n - Excellent time management, process, and prioritization skills.\n\n - Preferred experience with Cloud or Security sales.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."},{"id":"ff008b8e-b38d-4941-b24f-9a48c970e7fb","title":"SRE","department":"EPD","team":"Infrastructure","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[{"location":"Remote","address":{"postalAddress":{"addressCountry":"United States"}}},{"location":"New York","address":{"postalAddress":{"addressRegion":"New York","streetAddress":"215 Park Avenue S","addressCountry":"United States","addressLocality":"New York"}}}],"publishedAt":"2026-05-11T21:33:35.139+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","streetAddress":"75 Broadway","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/baseten/ff008b8e-b38d-4941-b24f-9a48c970e7fb","applyUrl":"https://jobs.ashbyhq.com/baseten/ff008b8e-b38d-4941-b24f-9a48c970e7fb/application","descriptionHtml":"ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
THE ROLE
As a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently.
You'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.
EXAMPLE INITIATIVES
You'll work on projects like these as part of the SRE team:
Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.
Building AI-assisted tooling for incident triage and response.
RESPONSIBILITIES
Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking.
Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code.
Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution.
Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations.
Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.
Define and instrument SLOs and SLIs across customer workloads and internal services.
Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.
REQUIREMENTS
Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus).
Experience in building and maintaining scalable infrastructure.
Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus.
Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).
Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis.
Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage.
Familiarity with incident management platforms (incident.io or similar) is a plus.
No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well.
BENEFITS
Competitive compensation, including meaningful equity.
100% coverage of medical, dental, and vision insurance for employee and dependents
Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
Paid parental leave
Fertility and family-building stipend through Carrot
Company-facilitated 401(k)
Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
","descriptionPlain":"ABOUT BASETEN\n\nBaseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.\n\n\n\nTHE ROLE\n\nAs a Site Reliability Engineer at Baseten, you'll define and codify the gold standards of day 2 operations for our ML infrastructure platform. You'll envision and build robust systems, processes, automations, and observability tooling that keep our platform reliable at scale — and that empower the broader organization to operate confidently.\n\nYou'll work closely with engineering, forward-deployed and product teams: learning from recurring failure patterns, turning tribal knowledge into automated mitigations, and raising the operational floor for the entire company.\n\nEXAMPLE INITIATIVES\n\nYou'll work on projects like these as part of the SRE team:\n\n - Improve Baseten SRE Practices, by instrumenting SLOs and SLIs, improving alerting and observability for all services.\n\n - Building AI-assisted tooling for incident triage and response.\n\nRESPONSIBILITIES\n\n - Own the reliability of Baseten's multi-cloud Kubernetes infrastructure, including incident response, post-mortems, and remediation tracking.\n\n - Build and maintain observability infrastructure — metrics, logging, dashboards, and alerting — as code.\n\n - Author, validate, and improve runbooks for recurring failure patterns, ensuring they're structured for low-context, safe execution.\n\n - Identify high-frequency failure patterns and convert them into automated mitigations or self-healing automations.\n\n - Diagnose and resolve runtime issues related to latency, memory behavior, GPU utilization, concurrency, and model lifecycle management.\n\n - Define and instrument SLOs and SLIs across customer workloads and internal services.\n\n - Navigate ambiguity, make principled tradeoffs, and avoid unnecessary complexity in the systems you build and the processes you define.\n\nREQUIREMENTS\n\n - Extensive hands-on experience with Kubernetes (multi-cloud experience across EKS, GKE, or similar is a strong plus).\n\n - Experience in building and maintaining scalable infrastructure.\n\n - Strong foundation in observability tooling: metrics (VictoriaMetrics, Prometheus), logging (Loki, ELK), dashboards (Grafana), and alerting pipelines. Observability-as-code experience is a plus.\n\n - Experience with infrastructure-as-code (Terraform, Helm) and GitOps workflows (Flux CD, ArgoCD).\n\n - Experience writing and improving runbooks, leading incident response, and doing post-mortem analysis.\n\n - Comfort working at the intersection of engineering and operations — you write code, but you also think deeply about process, escalation paths, and operational leverage.\n\n - Familiarity with incident management platforms (incident.io http://incident.io or similar) is a plus.\n\n - No prior ML experience required, but curiosity about how ML models are deployed and served at scale will serve you well.\n\n\n\nBENEFITS\n\n - Competitive compensation, including meaningful equity.\n\n - 100% coverage of medical, dental, and vision insurance for employee and dependents\n\n - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)\n\n - Paid parental leave\n\n - Fertility and family-building stipend through Carrot\n\n - Company-facilitated 401(k)\n\n - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.\n\nApply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.\n\nAt Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.\n\nWe are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable)."}],"apiVersion":"1"}