Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.
What You’ll Do
Manage large scale deployments of GPU clusters in datacenter colocation around the country
Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements
Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.
Proactively manage dependencies and anticipate/resolve execution issues
Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs
Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones
Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues
Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies
Contribute to the development of new business opportunities and expansion of existing business opportunities
You
Have 7+ years of experience in program/project management for complex product development programs
Have a thorough understanding of agile and waterfall management techniques
Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience
Have excellent leadership and organizational skills
Are a strong communicator, able to structure internal and external communication
Strong ability to humbly lead by influence and by example
Knowledge and expertise using various project management tools
Comfort with ambiguity, and ability to create structure where needed
Nice to Have
Experience in the machine learning or computer hardware industry
Demonstrated successful experience including working in a manufacturing environment with complex systems integration
Experience with large-scale distributed data center environments
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nThe Operations team plays a critical role in ensuring the seamless end-to-end execution of our AI-IaaS infrastructure and hardware. This team is responsible for sourcing all necessary infrastructure and components, overseeing day-to-day data center operations to maintain optimal performance and uptime, and driving cross company coordination through product management organization to align operational capabilities with strategic goals. By managing the full lifecycle from procurement to deployment and operational efficiency, the Operations team ensures that our AI-driven infrastructure is reliable, scalable, and aligned with business priorities.\n\n\nWhat You’ll Do \n\n - Manage large scale deployments of GPU clusters in datacenter colocation around the country \n\n - Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements \n\n - Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.\n\n - Proactively manage dependencies and anticipate/resolve execution issues\n\n - Partner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programs\n\n - Manage communication of progress/status with internal stakeholders and customer groups in various locations and time zones \n\n - Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issues\n\n - Build strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies \n\n - Contribute to the development of new business opportunities and expansion of existing business opportunities\n\nYou \n\n - Have 7+ years of experience in program/project management for complex product development programs \n\n - Have a thorough understanding of agile and waterfall management techniques \n\n - Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experience\n\n - Have excellent leadership and organizational skills\n\n - Are a strong communicator, able to structure internal and external communication \n\n - Strong ability to humbly lead by influence and by example\n\n - Knowledge and expertise using various project management tools\n\n - Comfort with ambiguity, and ability to create structure where needed \n\nNice to Have \n\n - Experience in the machine learning or computer hardware industry\n\n - Demonstrated successful experience including working in a manufacturing environment with complex systems integration\n\n - Experience with large-scale distributed data center environments\n\nSalary Range Information \n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$251K – $377K","scrapeableCompensationSalarySummary":"$251K - $377K","compensationTiers":[{"id":"bfd2b871-73a3-420d-bc26-de8e96895e4f","tierSummary":"$251K – $377K","title":null,"additionalInformation":null,"components":[{"id":"64e61bc4-2111-487a-955e-af9438d47925","summary":"$251K – $377K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":377000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":377000}]}},{"id":"fb3725da-9857-4e82-af44-cfb7e4917648","title":"Staff Software Engineer - IAM","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-01-13T19:25:03.054+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/fb3725da-9857-4e82-af44-cfb7e4917648","applyUrl":"https://jobs.ashbyhq.com/lambda/fb3725da-9857-4e82-af44-cfb7e4917648/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Role Summary
Help define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world.
You’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.
What You’ll Do
Design and build intuitive, beautiful web interfaces for ML/AI cloud users
Integrate top-tier tooling, workflows, and models from the AI space
Own features end-to-end—from design to deployment to monitoring
You (Must-Haves)
8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.
Deep expertise in modern IAM patterns and technologies:
Authentication (OIDC, OAuth2, SAML)
Authorization (RBAC, ABAC, fine-grained permissions)
MFA and advanced authentication factors
SCIM and identity lifecycle management
Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.
Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.
Proven track record of delivering IAM features in security-sensitive, high-uptime environments.
Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).
Nice-to-Haves
Experience designing IAM systems for ML/AI or cloud infrastructure products.
Hands-on experience with enterprise onboarding flows.
Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).
Contributions to IAM standards or open-source identity projects.
Leadership or mentorship experience
Strong academic background (EECS, Math, Software Engineering, Physics)
Salary Range
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
Final Note
You don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nRole Summary\n\nHelp define and deliver Lambda’s next-generation Identity and Access Management platform - powering secure, intuitive, and scalable access control for customers ranging from early-stage startups to the most superintelligent AI teams in the world.\n\nYou’ll design IAM systems that anticipate the needs of highly technical users who will stress-test every workflow, integration, and permission model. Your charter will be to lead the design and implementation of our IAM vision: Workspaces, enterprise-grade RBAC, MFA enhancements, and a unified identity platform across all Lambda products and services.\n\nWhat You’ll Do\n\n - Design and build intuitive, beautiful web interfaces for ML/AI cloud users\n\n - Integrate top-tier tooling, workflows, and models from the AI space\n\n - Own features end-to-end—from design to deployment to monitoring\n\nYou (Must-Haves)\n\n - 8+ years of backend or platform engineering experience, with 3+ years leading IAM or authentication/authorization initiatives.\n\n - Deep expertise in modern IAM patterns and technologies:\n \n - Authentication (OIDC, OAuth2, SAML)\n \n - Authorization (RBAC, ABAC, fine-grained permissions)\n \n - MFA and advanced authentication factors\n \n - SCIM and identity lifecycle management\n\n - Experience integrating and customizing third-party identity platforms (e.g., Auth0, Okta, WorkOS) at scale.\n\n - Strong architecture and systems design skills for distributed, multi-tenant SaaS environments.\n\n - Proven track record of delivering IAM features in security-sensitive, high-uptime environments.\n\n - Solid programming experience in Python, Go, or similar languages, plus comfort with IaC (Terraform, Atlantis, Crossplane).\n\nNice-to-Haves\n\n - Experience designing IAM systems for ML/AI or cloud infrastructure products.\n\n - Hands-on experience with enterprise onboarding flows.\n\n - Prior work on multi-cloud or hybrid identity solutions (AWS, GCP, Azure).\n\n - Contributions to IAM standards or open-source identity projects.\n\n - Leadership or mentorship experience\n\n - Strong academic background (EECS, Math, Software Engineering, Physics)\n\nSalary Range\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nFinal Note\n\nYou don’t need to meet all qualifications to apply. Lambda values a variety of backgrounds, experiences, and skills.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$230K – $523K • Multiple Ranges","scrapeableCompensationSalarySummary":"$230K - $523K","compensationTiers":[{"id":"5cadb034-bb37-4f05-bc68-51ddce7b70a8","tierSummary":"$349K – $523K","title":"San Francisco","additionalInformation":null,"components":[{"id":"578136ce-e58a-4d05-b150-71eeec016a34","summary":"$349K – $523K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":523000}]},{"id":"fdd67941-388b-4f44-9cdd-d67d43b4d110","tierSummary":"$230K – $401K","title":"Bellevue","additionalInformation":null,"components":[{"id":"c8676040-ba51-4043-9554-146283fa1423","summary":"$230K – $401K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":230000,"maxValue":401000}]}],"summaryComponents":[{"minValue":230000,"maxValue":523000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"bbf99974-b960-40cd-9353-179d9f3b375a","title":"Engineering Manager - AI Cloud Platform","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-09T19:01:47.549+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/bbf99974-b960-40cd-9353-179d9f3b375a","applyUrl":"https://jobs.ashbyhq.com/lambda/bbf99974-b960-40cd-9353-179d9f3b375a/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
What you’ll do
Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.
Drive execution of roadmap features including cluster lifecycle automation.
Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.
Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.
Hire, mentor, and grow a team of engineers, providing career development and feedback.
Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.
Contribute to a culture of high performance, documentation, humility, and curiosity.
Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.
Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.
You
5+ years in a full-time management role at a high-growth technology company
10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.
Proven record of leading and building engineering teams that work on mission-critical, high performance systems.
Proven track record leading teams that deliver enterprise features or governance platforms.
Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.
Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.
Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.
Ability to understand, review and structure Python and Go applications.
Nice to Have
Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.
Background building cloud application platforms.
Experience managing a remote, distributed team
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\nNote: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nEngineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nWhat you’ll do\n\n - Lead the AI Cloud Core Platform team of ~6 engineers, with end-to-end ownership of Cloud Platform and governance capabilities.\n\n - Drive execution of roadmap features including cluster lifecycle automation.\n\n - Partner closely with Product and Design to ensure the user experience matches the needs of enterprise customers.\n\n - Balance rapid feature delivery with longer-term investments in scalability, observability, and platform design.\n\n - Hire, mentor, and grow a team of engineers, providing career development and feedback.\n\n - Collaborate with other Lambda teams (Control Plane, Billing, Platform) to ensure smooth, integrated delivery across the stack.\n\n - Contribute to a culture of high performance, documentation, humility, and curiosity.\n\n - Be product-focused in your leadership and execution, always placing the needs of the customer first, with a particular focus on feature velocity, reliability and security.\n\n - Shape a culture of sustainable, empathetic, and high-velocity engineering, with a deep focus on cross-team collaboration, documentation, and data-driven decision-making.\n\nYou\n\n - 5+ years in a full-time management role at a high-growth technology company\n\n - 10+ years of industry experience in software engineering, with a focus on large-scale distributed systems and backend systems.\n\n - Proven record of leading and building engineering teams that work on mission-critical, high performance systems.\n\n - Proven track record leading teams that deliver enterprise features or governance platforms.\n\n - Exceptional leadership skills that encompass leading by trust, building empathy with your reports and other teams, and maintaining a sustainable but rapid velocity.\n\n - Demonstrated expertise in managing long-term projects alongside urgent, short-term priorities and incident resolution.\n\n - Extensive experience collaborating with product, sales, and other engineering teams to build cohesive products with a focus on user experience and reliability.\n\n - Ability to understand, review and structure Python and Go applications.\n\nNice to Have\n\n - Experience with IAM, authentication/authorization (SSO, RBAC, SCIM), governance tooling, or compliance features.\n\n - Background building cloud application platforms.\n\n - Experience managing a remote, distributed team\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$330K – $440K","scrapeableCompensationSalarySummary":"$330K - $440K","compensationTiers":[{"id":"169ac378-f4c5-473b-8d67-877fb5020aaf","tierSummary":"$330K – $440K","title":"San Francisco","additionalInformation":null,"components":[{"id":"6988c929-66e7-491d-8b5a-8b53bc524597","summary":"$330K – $440K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":440000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":440000}]}},{"id":"e0327962-391e-45d2-9428-bc5e109c8dfa","title":"Staff Product Manager","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}},{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-03-26T18:51:41.160+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e0327962-391e-45d2-9428-bc5e109c8dfa","applyUrl":"https://jobs.ashbyhq.com/lambda/e0327962-391e-45d2-9428-bc5e109c8dfa/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or upcoming Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Role Summary
We are seeking a Product Manager - Networking to define and scale the networking backbone of Lambda's AI Cloud. This role covers critical services such as Direct Connect, Virtual Private Cloud (VPC), and Load Balancing, while advancing high-performance networking for AI and HPC workloads using InfiniBand, RDMA, and low-latency Ethernet.
As the networking PM, you will shape the services that connect customers securely and efficiently to Lambda, enable distributed training across thousands of GPUs, and ensure the reliability and performance needed for enterprise adoption.
What You’ll Do
Drive Core Services Platform: Build a robust networking foundation capable of supporting the full spectrum of Lambda’s offerings—from managed public cloud services to bespoke private cloud environments. You will champion the “build once, scale everywhere” philosophy, driving synergies.
Drive and own relationship with our Super Intelligence customers by bridging the pre-sales to post-sales lifecycle partnering cross-functionally with engineering, finance, and marketing.
Design Lambda's Networking Backbone: Own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers.
Advance High-Performance AI Networking: Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.
Deliver Enterprise-Grade Connectivity: Build private, reliable, and secure networking for enterprise and hybrid environments - from subnets and routing to NAT, peering, and global traffic management.
Ensure Security, Reliability & Compliance: Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.
Partner Across Lambda & the Market: Collaborate with engineering, infrastructure, and solutions teams to launch customer-ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda's differentiated roadmap.
You:
8+ years of product management experience. Direct networking experience is not mandatory but the candidate must have significant experience working in product management within cloud infrastructure or high-performance computing (HPC) environments with a focus on platform services.
Deep understanding of HPC/AI networking, including InfiniBand, RDMA/RoCE, and high-performance Ethernet.
Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.
Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value.
Track record of launching and scaling enterprise-facing platforms at scale with measurable adoption and reliability outcomes.
Nice to Have
Hands-on experience with Kubernetes networking at scale.
Familiarity with SmartNICs, DPUs, or advanced offload technologies.
Background in AI or HPC workload optimization and distributed systems.
Exposure to storage networking (e.g., NVMe-oF over RDMA).
Salary Range
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco, San Jose, or upcoming Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nRole Summary\n\nWe are seeking a Product Manager - Networking to define and scale the networking backbone of Lambda's AI Cloud. This role covers critical services such as Direct Connect, Virtual Private Cloud (VPC), and Load Balancing, while advancing high-performance networking for AI and HPC workloads using InfiniBand, RDMA, and low-latency Ethernet.\n\nAs the networking PM, you will shape the services that connect customers securely and efficiently to Lambda, enable distributed training across thousands of GPUs, and ensure the reliability and performance needed for enterprise adoption.\n\nWhat You’ll Do\n\n - Drive Core Services Platform: Build a robust networking foundation capable of supporting the full spectrum of Lambda’s offerings—from managed public cloud services to bespoke private cloud environments. You will champion the “build once, scale everywhere” philosophy, driving synergies.\n\n - Drive and own relationship with our Super Intelligence customers by bridging the pre-sales to post-sales lifecycle partnering cross-functionally with engineering, finance, and marketing.\n\n - Design Lambda's Networking Backbone: Own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers.\n\n - Advance High-Performance AI Networking: Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale.\n\n - Deliver Enterprise-Grade Connectivity: Build private, reliable, and secure networking for enterprise and hybrid environments - from subnets and routing to NAT, peering, and global traffic management.\n\n - Ensure Security, Reliability & Compliance: Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings.\n\n - Partner Across Lambda & the Market: Collaborate with engineering, infrastructure, and solutions teams to launch customer-ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda's differentiated roadmap.\n\nYou:\n\n - 8+ years of product management experience. Direct networking experience is not mandatory but the candidate must have significant experience working in product management within cloud infrastructure or high-performance computing (HPC) environments with a focus on platform services.\n\n - Deep understanding of HPC/AI networking, including InfiniBand, RDMA/RoCE, and high-performance Ethernet.\n\n - Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance.\n\n - Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value.\n\n - Track record of launching and scaling enterprise-facing platforms at scale with measurable adoption and reliability outcomes.\n\nNice to Have\n\n - Hands-on experience with Kubernetes networking at scale.\n\n - Familiarity with SmartNICs, DPUs, or advanced offload technologies.\n\n - Background in AI or HPC workload optimization and distributed systems.\n\n - Exposure to storage networking (e.g., NVMe-oF over RDMA).\n\nSalary Range\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$291K – $484K • Multiple Ranges","scrapeableCompensationSalarySummary":"$291K - $484K","compensationTiers":[{"id":"dde6e0b4-919b-4fbe-90f0-6e04970438a1","tierSummary":"$323K – $484K","title":"San Francisco / San Jose","additionalInformation":null,"components":[{"id":"29fc1b3c-0df7-40fc-9772-028affbbfc2b","summary":"$323K – $484K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":323000,"maxValue":484000}]},{"id":"00ffa899-1e60-491e-b5c5-33881cbff679","tierSummary":"$291K – $436K","title":"Bellevue","additionalInformation":null,"components":[{"id":"7d7204ba-150a-4d28-8ae2-81c9b8361022","summary":"$291K – $436K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":291000,"maxValue":436000}]}],"summaryComponents":[{"minValue":291000,"maxValue":484000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"0ca9bb78-6d6b-4b71-8f77-762f0b16b959","title":"Security GRC Analyst","department":"G&A","team":"Compliance","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2025-11-10T20:37:47.015+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/0ca9bb78-6d6b-4b71-8f77-762f0b16b959","applyUrl":"https://jobs.ashbyhq.com/lambda/0ca9bb78-6d6b-4b71-8f77-762f0b16b959/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Validate and verify Lambda’s security controls and practices meet the requirements of ISO 27001, 27701, 27017, PCI, SOC 2, GDPR/CCPA and other relevant regulatory requirements to ensure alignment to business objectives
Assist in the update and maintenance of Lambda’s IT Risk Register across the full risk lifecycle: identification, assessment, treatment, tracking, and periodic review
Assist with and drive remediation of control deficiencies and gaps
Provide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g. policies, standards, processes, system configurations, etc.)
Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reporting
Assist with the third-party risk management assessment process, ensuring consistent enforcement of information security requirements
Assist control owners with root cause analysis and track risk management action plan progress
Create risk metrics for management regarding information security control maturity, compliance status, risks, performance and findings
You
Have a minimum of 5 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge and experience of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirements
Have a working proficiency with at least one enterprise GRC or TPRM platform: AuditBoard, Vanta, OneTrust, Whistic or equivalent
Have familiarity with cloud security controls and compliance in AWS, GCP or Azure environments
Have experience collaborating closely with engineers, business teams, and security partners, including incident response, red teams, and architects to seamlessly incorporate cybersecurity controls and risk management processes into their day-to-day operations
Demonstrate the ability to take ownership of assigned program workstreams, execute against defined milestones, and proactively identify improvements to existing processes and controls
Hold a Bachelor’s degrees in Information Security, Computer Science or a related field; equivalent professional experience taken into consideration
Nice to Have
Experience in the AI infrastructure, machine learning and/or computer hardware industry
Experience with Security by Design and/or Privacy by Design principles
Experience with standard cyber controls frameworks, including CIS Controls v8, NIST Cyber Security Framework (CSF), NIST 800-53, NIST 800-171, Cybersecurity Maturity Model Certification (CMMC), ISO 27001 and 27701, and SOX ITGC control frameworks.
Broad knowledge of IT infrastructure and architecture of computer systems as well as exposure to a variety of platforms such as operating systems, networks and databases
Certified Information Systems Auditor (CISA)
Certified Information Security Manager (CISM)
Certified Information Systems Security Professional (CISSP)
Certified in Risk and Information Systems Control (CRISC)
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat You’ll Do\n\n - Validate and verify Lambda’s security controls and practices meet the requirements of ISO 27001, 27701, 27017, PCI, SOC 2, GDPR/CCPA and other relevant regulatory requirements to ensure alignment to business objectives\n\n - Assist in the update and maintenance of Lambda’s IT Risk Register across the full risk lifecycle: identification, assessment, treatment, tracking, and periodic review\n\n - Assist with and drive remediation of control deficiencies and gaps\n\n - Provide guidance to Control Owners in the planning, design, implementation, operation, maintenance & remediation of control activities and other supporting requirements (e.g. policies, standards, processes, system configurations, etc.)\n\n - Communicate with technical and non-technical stakeholders and leaders on cybersecurity risk and controls management topics and program-specific reporting\n\n - Assist with the third-party risk management assessment process, ensuring consistent enforcement of information security requirements\n\n - Assist control owners with root cause analysis and track risk management action plan progress\n\n - Create risk metrics for management regarding information security control maturity, compliance status, risks, performance and findings\n\nYou\n\n - Have a minimum of 5 years of experience supporting cybersecurity risk or controls management programs with in-depth knowledge and experience of cybersecurity frameworks including ISO 27001 and 27701, PCI-DSS, SOC, NIST CSF and other regulatory requirements\n\n - Have a working proficiency with at least one enterprise GRC or TPRM platform: AuditBoard, Vanta, OneTrust, Whistic or equivalent\n\n - Have familiarity with cloud security controls and compliance in AWS, GCP or Azure environments\n\n - Have experience collaborating closely with engineers, business teams, and security partners, including incident response, red teams, and architects to seamlessly incorporate cybersecurity controls and risk management processes into their day-to-day operations\n\n - Demonstrate the ability to take ownership of assigned program workstreams, execute against defined milestones, and proactively identify improvements to existing processes and controls\n\n - Hold a Bachelor’s degrees in Information Security, Computer Science or a related field; equivalent professional experience taken into consideration\n\nNice to Have\n\n - Experience in the AI infrastructure, machine learning and/or computer hardware industry\n\n - Experience with Security by Design and/or Privacy by Design principles\n\n - Experience with standard cyber controls frameworks, including CIS Controls v8, NIST Cyber Security Framework (CSF), NIST 800-53, NIST 800-171, Cybersecurity Maturity Model Certification (CMMC), ISO 27001 and 27701, and SOX ITGC control frameworks.\n\n - Broad knowledge of IT infrastructure and architecture of computer systems as well as exposure to a variety of platforms such as operating systems, networks and databases\n\n - Certified Information Systems Auditor (CISA)\n\n - Certified Information Security Manager (CISM)\n\n - Certified Information Systems Security Professional (CISSP)\n\n - Certified in Risk and Information Systems Control (CRISC)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$131K – $175K","scrapeableCompensationSalarySummary":"$131K - $175K","compensationTiers":[{"id":"ef5b2a19-933b-4259-971b-18d1cd4966e0","tierSummary":"$131K – $175K","title":null,"additionalInformation":null,"components":[{"id":"0c680ff9-41fd-4088-b671-050f2305ae35","summary":"$131K – $175K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":131000,"maxValue":175000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":131000,"maxValue":175000}]}},{"id":"2213fc81-aabe-4a96-b090-89a6594295dc","title":"Accounts Payable Accountant","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-15T20:48:05.746+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2213fc81-aabe-4a96-b090-89a6594295dc","applyUrl":"https://jobs.ashbyhq.com/lambda/2213fc81-aabe-4a96-b090-89a6594295dc/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Manage Accounts Payable and ensure a smooth Procure-to-Pay process
GL coding of vendor invoices, submit invoices for approval, weekly pay runs, vendor communication, month-end close, accruals, and reconciliations
Ensure invoices are entered accurately and completely, agree to vendor contract/terms, and correctly reflect the company's chart of accounts in the accounting system
Take advantage of discount terms when available
Produce a weekly AP Aging and analyze which payments should be made to vendors
Preparation and posting of payments, ensuring completeness and accuracy
Review vendor statements for missing or outstanding invoices
Correspond with vendors to resolve discrepancies and manage vendor inquiries
Create and manage vendors, maintain W9 database, and monitor the AP inbox
Review company credit card transactions for accuracy and employee compliance to T&E policies
Optimize AP procedures using Coupa as well as using AI in your day to day activities.
You
Have an Associates degree or Bachelor’s degree and 3+ years of Accounts Payable experience
Can follow established controls to safeguard company assets
Are analytical with strong conceptual and problem-solving skills
Are detail oriented with superb organizational skills
Can work in a fast paced environment and meet tight deadlines
Have excellent verbal and written communication skills
Have a strong proficiency with Excel and adaptability to new technology and tools such as AI
Have excellent project management skills
Experience with vendor relationship management
Are a self-starter who can take on new initiatives without being asked to do so
Provide support needed to achieve a timely month end close
Nice to Have
Netsuite, Salesforce, Coupa, Stripe, AI experience
Data center, cloud infrastructure, or hardware industry experience
pre-IPO, post-IPO experience, public company experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - Manage Accounts Payable and ensure a smooth Procure-to-Pay process\n\n - GL coding of vendor invoices, submit invoices for approval, weekly pay runs, vendor communication, month-end close, accruals, and reconciliations\n\n - Ensure invoices are entered accurately and completely, agree to vendor contract/terms, and correctly reflect the company's chart of accounts in the accounting system\n\n - Take advantage of discount terms when available\n\n - Produce a weekly AP Aging and analyze which payments should be made to vendors\n\n - Preparation and posting of payments, ensuring completeness and accuracy\n\n - Review vendor statements for missing or outstanding invoices\n\n - Correspond with vendors to resolve discrepancies and manage vendor inquiries\n\n - Create and manage vendors, maintain W9 database, and monitor the AP inbox\n\n - Review company credit card transactions for accuracy and employee compliance to T&E policies\n\n - Optimize AP procedures using Coupa as well as using AI in your day to day activities.\n\nYou\n\n - Have an Associates degree or Bachelor’s degree and 3+ years of Accounts Payable experience\n\n - Can follow established controls to safeguard company assets\n\n - Are analytical with strong conceptual and problem-solving skills\n\n - Are detail oriented with superb organizational skills\n\n - Can work in a fast paced environment and meet tight deadlines\n\n - Have excellent verbal and written communication skills\n\n - Have a strong proficiency with Excel and adaptability to new technology and tools such as AI\n\n - Have excellent project management skills\n\n - Experience with vendor relationship management\n\n - Are a self-starter who can take on new initiatives without being asked to do so\n\n - Provide support needed to achieve a timely month end close\n\nNice to Have\n\n - Netsuite, Salesforce, Coupa, Stripe, AI experience\n\n - Data center, cloud infrastructure, or hardware industry experience\n\n - pre-IPO, post-IPO experience, public company experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$94K – $141K","scrapeableCompensationSalarySummary":"$94K - $141K","compensationTiers":[{"id":"77072787-43e5-494c-a095-ea3d851cf998","tierSummary":"$94K – $141K","title":null,"additionalInformation":null,"components":[{"id":"eac4423d-8366-4752-a95b-11b430420221","summary":"$94K – $141K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":94000,"maxValue":141000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":94000,"maxValue":141000}]}},{"id":"2352bba0-d5c7-4f2e-86f2-5bdb5f5ac755","title":"Data Center Operations Systems Engineer (Los Angeles, CA)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Vernon, CA - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-10T02:26:34.366+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"90058","addressRegion":"California","addressCountry":"United States","addressLocality":"Vernon"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/2352bba0-d5c7-4f2e-86f2-5bdb5f5ac755","applyUrl":"https://jobs.ashbyhq.com/lambda/2352bba0-d5c7-4f2e-86f2-5bdb5f5ac755/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Los Angeles, CA Data Center 5 days; shift work
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 5+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Los Angeles, CA Data Center 5 days; shift work\n\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 5+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 5+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$89K – $159K","scrapeableCompensationSalarySummary":"$89K - $159K","compensationTiers":[{"id":"0438b8d5-ae31-4637-a220-05cf5e1e08c0","tierSummary":"$89K – $159K","title":null,"additionalInformation":null,"components":[{"id":"255f32b8-4fa3-490c-8294-fe33639c7e0d","summary":"$89K – $159K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":159000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":159000}]}},{"id":"11976cf8-9535-4654-a7ef-cf322bd5da91","title":"Staff Storage Engineer","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-16T23:02:24.686+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/11976cf8-9535-4654-a7ef-cf322bd5da91","applyUrl":"https://jobs.ashbyhq.com/lambda/11976cf8-9535-4654-a7ef-cf322bd5da91/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
About the Role:
You will focus on strategy, architecture, and organizational influence
Strategic Selection: Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.
Workload Optimization: Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.
Operational Strategy: Identify and lead high-impact operational improvements and cross-functional deployment plans.
Customer Discovery: Partner with leadership during deal formation to gather technical requirements and inform solution design.
Organizational Leadership: Delegate complex engineering tasks and maintain consistent, proactive communication with the engineering leadership team.
You Have:
8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
A strong understanding of diverse storage solutions and their ecosystems:
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
File, Block, and Object storage types
Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
Storage performance via RDMA, GPUDirect Storage, parallel file systems
Encryption, storage security, and multi-tenancy strategies
Storage data-reduction, compression, and encryption
Backup and data protection
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
Nice to Have
Experience with Kubernetes, including CSI and COSI drivers and CNI’s
Deep understanding of storage performance
Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
Experience deploying, operating, and maintaining Software Defined Storage
Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nProduct Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nFor distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.\n\nLambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.\n\n - Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.\n\n - Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.\n\n - Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.\n\nAbout the Role:\n\nYou will focus on strategy, architecture, and organizational influence\n\n - Strategic Selection: Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.\n\n - Workload Optimization: Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.\n\n - Operational Strategy: Identify and lead high-impact operational improvements and cross-functional deployment plans.\n\n - Customer Discovery: Partner with leadership during deal formation to gather technical requirements and inform solution design.\n\n - Organizational Leadership: Delegate complex engineering tasks and maintain consistent, proactive communication with the engineering leadership team.\n\nYou Have:\n\n - 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments\n\n - A strong understanding of diverse storage solutions and their ecosystems:\n \n - Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE\n \n - File, Block, and Object storage types\n \n - Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.\n \n - NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE\n \n - Storage performance via RDMA, GPUDirect Storage, parallel file systems\n \n - Encryption, storage security, and multi-tenancy strategies\n \n - Storage data-reduction, compression, and encryption\n \n - Backup and data protection\n\n - 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).\n\nNice to Have\n\n - Experience with Kubernetes, including CSI and COSI drivers and CNI’s\n\n - Deep understanding of storage performance\n\n - Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)\n\n - Experience deploying, operating, and maintaining Software Defined Storage\n\n - Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$349K – $523K","scrapeableCompensationSalarySummary":"$349K - $523K","compensationTiers":[{"id":"6e3e842e-5d98-42c7-86f4-18be283587f8","tierSummary":"$349K – $523K","title":null,"additionalInformation":null,"components":[{"id":"890dcb71-6cb3-42a8-845d-910d8923b198","summary":"$349K – $523K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":523000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":523000}]}},{"id":"5945341c-983d-4e21-95a5-bdde719cd307","title":"Staff Pricing Analyst","department":"Data Center Business","team":"Pricing","employmentType":"FullTime","location":"Bellevue, WA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-02-20T20:15:28.932+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5945341c-983d-4e21-95a5-bdde719cd307","applyUrl":"https://jobs.ashbyhq.com/lambda/5945341c-983d-4e21-95a5-bdde719cd307/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Bellevue or San Jose office locations 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Define and evolve Lambda’s end-to-end pricing strategy across GPU cloud and AI infrastructure offerings, spanning consumption, subscription, and enterprise models.
Ensure pricing balances growth, margin expansion, hardware lifecycle economics, and competitive positioning.
Lead pricing architecture for complex enterprise agreements, building detailed deal P&Ls and margin guardrails.
Partner with Sales and Product to structure scalable pricing that accelerates adoption while protecting long-term profitability.
Own the financial frameworks connecting GPU/server capex, utilization, hardware refresh cycles, and pricing strategy.
Develop multi-year NPV, ROI, and breakeven models to guide infrastructure investment and lifecycle decisions.
Build integrated multi-year models linking demand forecasts, pricing levers, and margin outcomes.
Design sensitivity analyses to assess revenue and profitability impacts across competitive and market scenarios.
Scale pricing models and reporting through automation and analytics tools to improve speed, accuracy, and governance of pricing decisions.
You
Have 8+ years of experience in pricing strategy, infrastructure finance, product finance, or strategic FP&A within a high-growth technology company.
Have deep experience in cloud, AI infrastructure, data center economics, or consumption-based business models.
Have advanced financial modeling expertise (multi-year cash flow models, NPV/IRR, scenario modeling, unit economics).
Demonstrate ownership of pricing decisions influencing large revenue streams and/or capital investments.
Have strong executive communication skills — able to distill complex infrastructure and financial data into clear, decision-ready narratives.
Have experience partnering closely with Sales, Product, Engineering, and executive stakeholders.
Advanced Excel skills (Power Query/Power Pivot strongly preferred); familiarity with SQL and BI tools.
Operates with high autonomy, strong judgment, and a bias toward ownership.
Nice to Have
Experience pricing GPU infrastructure, AI workloads, or hyperscale cloud services.
Experience supporting Board-level materials or capital allocation discussions.
Familiarity with AWS, Azure, or GCP infrastructure cost structures and pricing models.
Experience leading or mentoring other analysts or building pricing processes from the ground up.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Bellevue or San Jose office locations 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - Define and evolve Lambda’s end-to-end pricing strategy across GPU cloud and AI infrastructure offerings, spanning consumption, subscription, and enterprise models.\n\n - Ensure pricing balances growth, margin expansion, hardware lifecycle economics, and competitive positioning.\n\n - Lead pricing architecture for complex enterprise agreements, building detailed deal P&Ls and margin guardrails.\n\n - Partner with Sales and Product to structure scalable pricing that accelerates adoption while protecting long-term profitability.\n\n - Own the financial frameworks connecting GPU/server capex, utilization, hardware refresh cycles, and pricing strategy.\n\n - Develop multi-year NPV, ROI, and breakeven models to guide infrastructure investment and lifecycle decisions.\n\n - Build integrated multi-year models linking demand forecasts, pricing levers, and margin outcomes.\n\n - Design sensitivity analyses to assess revenue and profitability impacts across competitive and market scenarios.\n\n - Scale pricing models and reporting through automation and analytics tools to improve speed, accuracy, and governance of pricing decisions.\n\nYou\n\n - Have 8+ years of experience in pricing strategy, infrastructure finance, product finance, or strategic FP&A within a high-growth technology company.\n\n - Have deep experience in cloud, AI infrastructure, data center economics, or consumption-based business models.\n\n - Have advanced financial modeling expertise (multi-year cash flow models, NPV/IRR, scenario modeling, unit economics).\n\n - Demonstrate ownership of pricing decisions influencing large revenue streams and/or capital investments.\n\n - Have strong executive communication skills — able to distill complex infrastructure and financial data into clear, decision-ready narratives.\n\n - Have experience partnering closely with Sales, Product, Engineering, and executive stakeholders.\n\n - Advanced Excel skills (Power Query/Power Pivot strongly preferred); familiarity with SQL and BI tools.\n\n - Operates with high autonomy, strong judgment, and a bias toward ownership.\n\nNice to Have\n\n - Experience pricing GPU infrastructure, AI workloads, or hyperscale cloud services.\n\n - Experience supporting Board-level materials or capital allocation discussions.\n Familiarity with AWS, Azure, or GCP infrastructure cost structures and pricing models.\n\n - Experience leading or mentoring other analysts or building pricing processes from the ground up.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$179K – $239K • Multiple Ranges","scrapeableCompensationSalarySummary":"$179K - $239K","compensationTiers":[{"id":"3ef49f13-862a-494d-b71b-1acf4410cf21","tierSummary":"$199K – $220K","title":"San Jose","additionalInformation":null,"components":[{"id":"50797d95-1d3e-4bf9-b3d7-6ba3125031cf","summary":"$199K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":199000,"maxValue":220000}]},{"id":"d0281c03-85a9-4f97-a4a7-14cbc6bcfe98","tierSummary":"$179K – $239K","title":"Bellevue","additionalInformation":null,"components":[{"id":"65cfce7b-7260-4786-adc1-805136b4cf5b","summary":"$179K – $239K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":179000,"maxValue":239000}]}],"summaryComponents":[{"minValue":179000,"maxValue":239000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"bafe6266-7d4a-4ed1-bc50-03edfba10c97","title":"Senior Technical Program Manager - Product Engineering","department":"Data Center Business","team":"Program Operations","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-03T17:11:13.510+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/bafe6266-7d4a-4ed1-bc50-03edfba10c97","applyUrl":"https://jobs.ashbyhq.com/lambda/bafe6266-7d4a-4ed1-bc50-03edfba10c97/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.
Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.
Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.
Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.
You
8+ years of experience in a technical program management and/or technical management role
Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.
Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).
Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.
Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.
Nice to Have
Demonstrated ability to drive strategic decision-making in ambiguous technical domains.
Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.
Experience operating in a rapidly scaling environment.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - Lead and manage large-scale, complex software development programs from initiation through delivery, ensuring timely, high-quality execution of roadmap commitments for the Lambda AI Cloud compute platform.\n\n - Define program scope, objectives, success criteria, and governance, translating product requirements and technical strategy into actionable work plans and milestones.\n\n - Possess a strong technical background to effectively engage with engineers on technical design decisions, architecture reviews, and sizing of deliverables for AI cloud services.\n\n - Proactively identify, assess, and manage risks, dependencies, and trade-offs, developing mitigation strategies and communicating impact clearly to leadership.\n\n - Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.\n\n - Serve as the primary interface for program communication, ensuring clear, consistent, and concise information flow between technical teams and executive stakeholders.\n\nYou\n\n - 8+ years of experience in a technical program management and/or technical management role\n\n - Possess a deep understanding of software development life cycles, cloud infrastructure, and the unique challenges associated with delivering high-performance AI compute solutions.\n\n - Prior experience working on AI/ML infrastructure, GPU/accelerator platforms, or container orchestration technologies (e.g., Kubernetes).\n\n - Proven experience delivering large-scale cloud-based products or services, with a strong preference for experience in infrastructure, distributed systems, or high-performance computing (HPC)/AI/ML platforms.\n\n - Expert-level knowledge of software development life cycle (SDLC) methodologies and project management tools.\n\nNice to Have\n\n - Demonstrated ability to drive strategic decision-making in ambiguous technical domains.\n\n - Excellent analytical, problem-solving, and organizational skills, with the ability to manage multiple programs concurrently.\n\n - Experience operating in a rapidly scaling environment.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$251K – $377K","scrapeableCompensationSalarySummary":"$251K - $377K","compensationTiers":[{"id":"3b684261-6c42-4ef5-8b68-36bcb7c84951","tierSummary":"$251K – $377K","title":null,"additionalInformation":null,"components":[{"id":"a91e7399-d9b3-4042-8d16-ed9faadaabac","summary":"$251K – $377K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":377000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":251000,"maxValue":377000}]}},{"id":"a78dfe47-1176-4da7-b9da-0e18551ea434","title":"Staff External Product Manager","department":"Data Center Business","team":"Product Management","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-26T18:51:59.977+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/a78dfe47-1176-4da7-b9da-0e18551ea434","applyUrl":"https://jobs.ashbyhq.com/lambda/a78dfe47-1176-4da7-b9da-0e18551ea434/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Role
The External Product Manager is the ultimate steward of the customer’s success. Working hand-in-hand with Sales, Solutions Engineering, and Customer Success, you will be the product and technical voice embedded in our most important accounts. You will operate with a founder’s mindset: deeply invested in account outcomes, proactive in solving problems, and relentless about making customers successful on Lambda’s platform. This is a high-visibility, outbound role where your ability to build genuine trust, navigate complex technical environments, and drive product-led account growth will define your impact.
You will own the product and technical dimensions of customer engagement across pre-sales and post-sales for Super Intelligence (SI) and Enterprise customers, partnering closely with Sales who own the commercial relationship. You will wear multiple hats: Product Management, Program Management, Technical Account Management, and strategic communications. When done right, this collaboration leads to renewals, upsells, co-build partnerships, and case study opportunities that fuel Lambda’s growth.
What You Will Do
Own pre-sales and post-sales customer engagement for SI partners, SI-led customers, or enterprise accounts, acting as the primary technical and commercial interface.
Serve as the internal champion and steward of customer success, representing customer needs, constraints, and priorities across technical, operational, and commercial dimensions.
Drive cross-functional coordination with customer support, operations, engineering, and product teams to trace, escalate, and resolve customer issues with speed and clarity.
Manage complex, multi-party deployments involving alignment across Lambda's platform, SI delivery teams, and end customers.
Own all external-facing communication for your accounts, ensuring consistent messaging and internal alignment before anything reaches the customer.
Establish and maintain customer engagement cadences: weekly technical reviews, monthly business alignment calls, quarterly roadmap exercises, and QBRs.
Own the customer roadmap and feature delivery pipeline, running technical and product discovery to ensure features ship to the right customers at the right time.
Translate customer feedback, pain points, and requests into structured input for Inbound PMs to directly inform product prioritization and roadmap decisions.
Manage cluster performance accountability, including effective uptime, SLA tracking, spares policy, diagnostics, and maintenance strategy.
Navigate complex account dynamics: budget cycles, internal politics, SLA interpretation disputes, and organizational ambiguity on both sides of the table.
Who You Are
You are a customer-facing product leader with technical depth and interpersonal magnetism. You walk into a room and people trust you. You can talk to a GPU infrastructure engineer about NVLink topologies in the morning and negotiate a multi-year contract expansion with a VP of Finance in the afternoon. You are not a \"yes-person\"; you push back with data and judgment, and customers respect you more for it.
Requirements
5+ years of experience in Product Management, Technical Account Management, Solutions Engineering, or a related customer-facing technical role.
Deep technical fluency in GPU infrastructure, cloud computing, distributed systems, or AI/ML workloads. You should be comfortable discussing CUDA, InfiniBand, Kubernetes scheduling, and training cluster architectures.
Proven ability to manage complex enterprise accounts with multiple stakeholders, competing priorities, and high commercial stakes.
Strong communication and storytelling skills: you can distill technical complexity into clear, compelling narratives for both engineers and executives.
Experience running structured engagement cadences (QBRs, roadmap reviews, SLA discussions) and producing executive-level briefings.
Demonstrated skill in negotiation, pushback, and constructive conflict resolution with customers and internal teams.
Comfort with ambiguity and the ability to build process where none exists. You have thrived in fast-moving, high-growth environments.
Strong cross-functional coordination instincts, with experience driving outcomes across engineering, support, sales, and operations.
Nice to Have
Experience at a cloud infrastructure provider (AWS, GCP, Azure, CoreWeave, or similar).
Familiarity with Slurm, Kubernetes, or managed orchestration platforms for GPU workloads.
Experience managing SLA and uptime reporting for large-scale infrastructure deployments.
Previous work with System Integrators or channel partners in a technical capacity.
What Success Looks Like
Your customers renew, expand, and actively choose Lambda over alternatives because of the trust you have built.
Internal teams know exactly what your accounts need and why, because your feedback loops are tight and structured.
You have transformed chaotic, ad hoc customer engagements into repeatable, high-quality motions that scale.
You have co-built features, published case studies, and created marketing opportunities directly from your account relationships.
Lambda's executive team trusts your account briefings as the single source of truth.
What Failure Looks Like (Anti-Patterns)
Being a \"yes-person\" to whatever the customer says they want, without digging into the underlying need.
Failing to negotiate or push back when the situation demands it.
Misreading the customer organization's internal politics or budget dynamics.
Overselling what Lambda can deliver, creating trust debt that compounds over time.
De-prioritizing the customer's best interests in favor of short-term internal convenience.
Showing up to customer meetings unprepared, adding chaos to an already complex relationship.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nThe Role\n\nThe External Product Manager is the ultimate steward of the customer’s success. Working hand-in-hand with Sales, Solutions Engineering, and Customer Success, you will be the product and technical voice embedded in our most important accounts. You will operate with a founder’s mindset: deeply invested in account outcomes, proactive in solving problems, and relentless about making customers successful on Lambda’s platform. This is a high-visibility, outbound role where your ability to build genuine trust, navigate complex technical environments, and drive product-led account growth will define your impact.\n\nYou will own the product and technical dimensions of customer engagement across pre-sales and post-sales for Super Intelligence (SI) and Enterprise customers, partnering closely with Sales who own the commercial relationship. You will wear multiple hats: Product Management, Program Management, Technical Account Management, and strategic communications. When done right, this collaboration leads to renewals, upsells, co-build partnerships, and case study opportunities that fuel Lambda’s growth.\n\nWhat You Will Do\n\n - Own pre-sales and post-sales customer engagement for SI partners, SI-led customers, or enterprise accounts, acting as the primary technical and commercial interface.\n\n - Serve as the internal champion and steward of customer success, representing customer needs, constraints, and priorities across technical, operational, and commercial dimensions.\n\n - Drive cross-functional coordination with customer support, operations, engineering, and product teams to trace, escalate, and resolve customer issues with speed and clarity.\n\n - Manage complex, multi-party deployments involving alignment across Lambda's platform, SI delivery teams, and end customers.\n\n - Own all external-facing communication for your accounts, ensuring consistent messaging and internal alignment before anything reaches the customer.\n\n - Establish and maintain customer engagement cadences: weekly technical reviews, monthly business alignment calls, quarterly roadmap exercises, and QBRs.\n\n - Own the customer roadmap and feature delivery pipeline, running technical and product discovery to ensure features ship to the right customers at the right time.\n\n - Translate customer feedback, pain points, and requests into structured input for Inbound PMs to directly inform product prioritization and roadmap decisions.\n\n - Manage cluster performance accountability, including effective uptime, SLA tracking, spares policy, diagnostics, and maintenance strategy.\n\n - Navigate complex account dynamics: budget cycles, internal politics, SLA interpretation disputes, and organizational ambiguity on both sides of the table.\n\nWho You Are\n\nYou are a customer-facing product leader with technical depth and interpersonal magnetism. You walk into a room and people trust you. You can talk to a GPU infrastructure engineer about NVLink topologies in the morning and negotiate a multi-year contract expansion with a VP of Finance in the afternoon. You are not a \"yes-person\"; you push back with data and judgment, and customers respect you more for it.\n\nRequirements\n\n - 5+ years of experience in Product Management, Technical Account Management, Solutions Engineering, or a related customer-facing technical role.\n\n - Deep technical fluency in GPU infrastructure, cloud computing, distributed systems, or AI/ML workloads. You should be comfortable discussing CUDA, InfiniBand, Kubernetes scheduling, and training cluster architectures.\n\n - Proven ability to manage complex enterprise accounts with multiple stakeholders, competing priorities, and high commercial stakes.\n\n - Strong communication and storytelling skills: you can distill technical complexity into clear, compelling narratives for both engineers and executives.\n\n - Experience running structured engagement cadences (QBRs, roadmap reviews, SLA discussions) and producing executive-level briefings.\n\n - Demonstrated skill in negotiation, pushback, and constructive conflict resolution with customers and internal teams.\n\n - Comfort with ambiguity and the ability to build process where none exists. You have thrived in fast-moving, high-growth environments.\n\n - Strong cross-functional coordination instincts, with experience driving outcomes across engineering, support, sales, and operations.\n\nNice to Have\n\n - Experience at a cloud infrastructure provider (AWS, GCP, Azure, CoreWeave, or similar).\n\n - Familiarity with Slurm, Kubernetes, or managed orchestration platforms for GPU workloads.\n\n - Experience managing SLA and uptime reporting for large-scale infrastructure deployments.\n\n - Previous work with System Integrators or channel partners in a technical capacity.\n\nWhat Success Looks Like\n\n - Your customers renew, expand, and actively choose Lambda over alternatives because of the trust you have built.\n\n - Internal teams know exactly what your accounts need and why, because your feedback loops are tight and structured.\n\n - You have transformed chaotic, ad hoc customer engagements into repeatable, high-quality motions that scale.\n\n - You have co-built features, published case studies, and created marketing opportunities directly from your account relationships.\n\n - Lambda's executive team trusts your account briefings as the single source of truth.\n\nWhat Failure Looks Like (Anti-Patterns)\n\n - Being a \"yes-person\" to whatever the customer says they want, without digging into the underlying need.\n\n - Failing to negotiate or push back when the situation demands it.\n\n - Misreading the customer organization's internal politics or budget dynamics.\n\n - Overselling what Lambda can deliver, creating trust debt that compounds over time.\n\n - De-prioritizing the customer's best interests in favor of short-term internal convenience.\n\n - Showing up to customer meetings unprepared, adding chaos to an already complex relationship.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$323K – $484K","scrapeableCompensationSalarySummary":"$323K - $484K","compensationTiers":[{"id":"fc2447cc-4de2-4c15-92ee-87d39b6fd032","tierSummary":"$323K – $484K","title":null,"additionalInformation":null,"components":[{"id":"d5c80a2a-2574-41c3-a824-09c02e5a3951","summary":"$323K – $484K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":323000,"maxValue":484000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":323000,"maxValue":484000}]}},{"id":"943f678e-d9ef-4e58-b3a2-8a3d4df7e3b5","title":"Technical Accounting Lead","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-03-04T16:48:16.868+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/943f678e-d9ef-4e58-b3a2-8a3d4df7e3b5","applyUrl":"https://jobs.ashbyhq.com/lambda/943f678e-d9ef-4e58-b3a2-8a3d4df7e3b5/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
Lead technical accounting research and prepare memos for complex, non-routine transactions in accordance with U.S. GAAP
Analyze accounting implications of significant transactions, including revenue, equity, debt, business combinations, leases, and stock-based compensation
Partner cross-functionally (Legal, Tax, FP&A, Treasury) to assess accounting impacts and provide guidance ahead of execution
Develop and maintain accounting policies; evaluate and implement new FASB and SEC guidance in preparation for public company readiness
Support IPO readiness efforts, including drafting technical disclosures, assisting with S-1/10-K preparation, and enhancing financial statement presentation
Assist with consolidated financial statement preparation, footnotes, and reporting package reviews to ensure accuracy and SEC compliance
Support external audits and SOX readiness by preparing documentation, strengthening controls, and improving close and reporting processes
Contribute to M&A, system implementations, and other strategic initiatives to support company growth
What we look for in you:
Bachelor’s degree in Accounting, Finance, or related field
4+ years of experience in technical accounting, preferably within a Big 4 firm and/or a publicly traded company
Active CPA required
Strong knowledge of the U.S. GAAP with experience analyzing complex and non-routine transactions (e.g., revenue recognition, leases, equity, debt, business combinations)
Proven ability to research accounting guidance and prepare clear, well-supported technical accounting memos
Understanding of SEC reporting and disclosure requirements
Experience partnering cross-functionally to assess accounting implications of business initiatives
Familiarity with ERP and reporting tools (e.g., NetSuite, Workiva)
Advanced Excel skills and strong analytical capabilities
Excellent written and verbal communication skills, with the ability to translate technical guidance into practical recommendations
Detail-oriented, proactive, and comfortable operating in a fast-paced environment
Nice to haves:
Big 4 audit or accounting advisory experience with strong technical accounting expertise
Deep knowledge of ASC 606 (revenue), ASC 842 (leases), and ASC 718 (stock-based compensation), including memo preparation and policy development
Experience with pre-IPO technical matters, including equity instruments, preferred stock, warrants, EPS, and SEC reporting considerations
Strong understanding of the U.S. GAAP financial reporting, including preparation and review of financial statements and footnote disclosures
Experience supporting IPO readiness, S-1/10-K preparation, and PCAOB audits
Background in high-growth, pre-IPO or public technology companies (SaaS/AI preferred)
Exposure to M&A and purchase accounting, particularly in revenue and equity-related areas
Demonstrated ability to strengthen controls and build scalable accounting processes in fast-paced environments
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - Lead technical accounting research and prepare memos for complex, non-routine transactions in accordance with U.S. GAAP\n\n - Analyze accounting implications of significant transactions, including revenue, equity, debt, business combinations, leases, and stock-based compensation\n\n - Partner cross-functionally (Legal, Tax, FP&A, Treasury) to assess accounting impacts and provide guidance ahead of execution\n\n - Develop and maintain accounting policies; evaluate and implement new FASB and SEC guidance in preparation for public company readiness\n\n - Support IPO readiness efforts, including drafting technical disclosures, assisting with S-1/10-K preparation, and enhancing financial statement presentation\n\n - Assist with consolidated financial statement preparation, footnotes, and reporting package reviews to ensure accuracy and SEC compliance\n\n - Support external audits and SOX readiness by preparing documentation, strengthening controls, and improving close and reporting processes\n\n - Contribute to M&A, system implementations, and other strategic initiatives to support company growth\n\nWhat we look for in you:\n\n - Bachelor’s degree in Accounting, Finance, or related field\n\n - 4+ years of experience in technical accounting, preferably within a Big 4 firm and/or a publicly traded company\n\n - Active CPA required\n\n - Strong knowledge of the U.S. GAAP with experience analyzing complex and non-routine transactions (e.g., revenue recognition, leases, equity, debt, business combinations)\n\n - Proven ability to research accounting guidance and prepare clear, well-supported technical accounting memos\n\n - Understanding of SEC reporting and disclosure requirements\n\n - Experience partnering cross-functionally to assess accounting implications of business initiatives\n\n - Familiarity with ERP and reporting tools (e.g., NetSuite, Workiva)\n\n - Advanced Excel skills and strong analytical capabilities\n\n - Excellent written and verbal communication skills, with the ability to translate technical guidance into practical recommendations\n\n - Detail-oriented, proactive, and comfortable operating in a fast-paced environment\n\nNice to haves:\n\n - Big 4 audit or accounting advisory experience with strong technical accounting expertise\n\n - Deep knowledge of ASC 606 (revenue), ASC 842 (leases), and ASC 718 (stock-based compensation), including memo preparation and policy development\n\n - Experience with pre-IPO technical matters, including equity instruments, preferred stock, warrants, EPS, and SEC reporting considerations\n\n - Strong understanding of the U.S. GAAP financial reporting, including preparation and review of financial statements and footnote disclosures\n\n - Experience supporting IPO readiness, S-1/10-K preparation, and PCAOB audits\n\n - Background in high-growth, pre-IPO or public technology companies (SaaS/AI preferred)\n\n - Exposure to M&A and purchase accounting, particularly in revenue and equity-related areas\n\n - Demonstrated ability to strengthen controls and build scalable accounting processes in fast-paced environments\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$169K – $253K","scrapeableCompensationSalarySummary":"$169K - $253K","compensationTiers":[{"id":"7d85fb45-1c44-4932-b3df-30d2d27bf6ca","tierSummary":"$169K – $253K","title":null,"additionalInformation":null,"components":[{"id":"ec084bec-0e16-48a1-96ac-c2b1e4261782","summary":"$169K – $253K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":169000,"maxValue":253000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":169000,"maxValue":253000}]}},{"id":"22921610-2e25-41ab-bbf9-d3237cfcefc2","title":"Manager, Financial Reporting","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-03-04T16:48:04.420+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/22921610-2e25-41ab-bbf9-d3237cfcefc2","applyUrl":"https://jobs.ashbyhq.com/lambda/22921610-2e25-41ab-bbf9-d3237cfcefc2/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
IPO & Financial Reporting
Support preparation and review of the S-1, including financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements
Partner with FP&A, Legal, and Investor Relations to ensure reporting aligns with the overall S-1 narrative
Work with auditors, valuation specialists, and legal counsel to support filing and audit readiness
Prepare monthly, quarterly, and annual financial statements in compliance with U.S. GAAP and future SEC reporting requirements (10-K, 10-Q)
Assist with non-GAAP reconciliations, key metrics, and investor-facing disclosures
Technical Accounting & Policy Development
Draft and maintain technical accounting memos to support audits and SEC review
Support SOX 404(a) readiness by improving documentation and key controls over financial reporting
Help develop and update accounting policies and procedures in line with the U.S. GAAP
Process Improvement & Team Development
Support monthly, quarterly, and annual close to ensure consistent application of accounting policies
Partner with cross-functional teams to assess and document accounting impacts of new initiatives and contracts
Improve accounting processes, strengthen controls, and increase automation
Monitor new FASB guidance and support implementation of reporting changes
Provide guidance to team members on technical accounting topics
Support ad-hoc and special projects related to accounting and reporting
You
7+ years of accounting experience, including strong exposure to technical accounting and financial reporting
Active CPA license
Strong knowledge of U.S. GAAP and experience researching technical issues
Experience at a Big 4 firm and/or high-growth technology company
Proficient in accounting systems (NetSuite preferred) and Excel
Strong written and verbal communication skills
Well-organized with strong time management and attention to detail
Self-starter who can work independently and meet deadlines
Comfortable in a fast-paced, evolving environment
Curious, proactive, and eager to learn
Nice to Have
Experience supporting an S-1 filing and transition to public company reporting
Background in a national office or accounting advisory practice
Experience in a startup or high-growth technology company
Familiarity with AI, SaaS/IaaS, or consumption-based models
Knowledge of SEC reporting requirements
Experience implementing new accounting standards
Experience improving processes and supporting system implementations
Ability to simplify complex topics and build scalable processes
Comfortable working in ambiguous, fast-paced environments
Proactive mindset with a track record of driving improvements
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - IPO & Financial Reporting\n \n - Support preparation and review of the S-1, including financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements\n \n - Partner with FP&A, Legal, and Investor Relations to ensure reporting aligns with the overall S-1 narrative\n \n - Work with auditors, valuation specialists, and legal counsel to support filing and audit readiness\n \n - Prepare monthly, quarterly, and annual financial statements in compliance with U.S. GAAP and future SEC reporting requirements (10-K, 10-Q)\n \n - Assist with non-GAAP reconciliations, key metrics, and investor-facing disclosures\n\n - Technical Accounting & Policy Development\n \n - Draft and maintain technical accounting memos to support audits and SEC review\n \n - Support SOX 404(a) readiness by improving documentation and key controls over financial reporting\n \n - Help develop and update accounting policies and procedures in line with the U.S. GAAP\n\n - Process Improvement & Team Development\n \n - Support monthly, quarterly, and annual close to ensure consistent application of accounting policies\n \n - Partner with cross-functional teams to assess and document accounting impacts of new initiatives and contracts\n \n - Improve accounting processes, strengthen controls, and increase automation\n \n - Monitor new FASB guidance and support implementation of reporting changes\n \n - Provide guidance to team members on technical accounting topics\n \n - Support ad-hoc and special projects related to accounting and reporting\n\nYou\n\n - 7+ years of accounting experience, including strong exposure to technical accounting and financial reporting\n\n - Active CPA license\n\n - Strong knowledge of U.S. GAAP and experience researching technical issues\n\n - Experience at a Big 4 firm and/or high-growth technology company\n\n - Proficient in accounting systems (NetSuite preferred) and Excel\n\n - Strong written and verbal communication skills\n\n - Well-organized with strong time management and attention to detail\n\n - Self-starter who can work independently and meet deadlines\n\n - Comfortable in a fast-paced, evolving environment\n\n - Curious, proactive, and eager to learn\n\nNice to Have\n\n - Experience supporting an S-1 filing and transition to public company reporting\n\n - Background in a national office or accounting advisory practice\n\n - Experience in a startup or high-growth technology company\n\n - Familiarity with AI, SaaS/IaaS, or consumption-based models\n\n - Knowledge of SEC reporting requirements\n\n - Experience implementing new accounting standards\n\n - Experience improving processes and supporting system implementations\n\n - Ability to simplify complex topics and build scalable processes\n\n - Comfortable working in ambiguous, fast-paced environments\n\n - Proactive mindset with a track record of driving improvements\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$173K – $259K","scrapeableCompensationSalarySummary":"$173K - $259K","compensationTiers":[{"id":"3c7eb8c0-096b-4052-a7be-5505dbfee7c1","tierSummary":"$173K – $259K","title":null,"additionalInformation":null,"components":[{"id":"53d6f0b4-1510-4d9c-9634-e01d452da3e4","summary":"$173K – $259K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":173000,"maxValue":259000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":173000,"maxValue":259000}]}},{"id":"cf395a28-87bd-4d44-891a-bbefa6958fe2","title":"Senior Manager, Technical Accounting & Financial Reporting","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-04T16:48:32.509+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/cf395a28-87bd-4d44-891a-bbefa6958fe2","applyUrl":"https://jobs.ashbyhq.com/lambda/cf395a28-87bd-4d44-891a-bbefa6958fe2/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What You’ll Do
IPO & Financial Reporting
Lead or support S-1 preparation, including drafting and reviewing financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements
Partner with FP&A, Legal, and Investor Relations to ensure financial reporting aligns with the overall S-1 story
Work closely with auditors, valuation specialists, and legal counsel to support filing and audit readiness
Own the monthly, quarterly, and annual financial statements preparation process in compliance with the U.S. GAAP and SEC reporting requirements (10-K, 10-Q post-IPO)
Support non-GAAP reconciliations, key metrics reporting, and investor-facing disclosures
Technical Accounting & Policy Development
Prepare and maintain technical accounting memos to support audits and SEC review
Support SOX 404(a) readiness by improving documentation and strengthening key controls over financial reporting
Develop and update accounting policies and procedures to ensure compliance with U.S. GAAP
Process Improvement & Team Development
Support monthly, quarterly, and annual close to ensure consistent application of accounting policies
Partner with cross-functional teams to evaluate and document accounting impacts of new contracts and business initiatives
Improve accounting processes, strengthen controls, and drive automation where possible
Monitor new FASB guidance and recommend practical implementation approaches
Provide guidance to team members on technical accounting matters
Support ad-hoc projects and other accounting or reporting initiatives
You
10+ years of accounting experience, including 6+ years in technical accounting and financial reporting
Active CPA license
Strong U.S. GAAP knowledge and technical accounting research experience
5+ years at a Big 4 firm and/or high-growth technology company
Proficient in accounting systems (NetSuite preferred) and advanced Excel skills
Strong written and verbal communication skills, able to explain complex topics clearly
Highly organized with strong time management and attention to detail
Self-starter who can work independently and meet deadlines
Comfortable in a fast-paced, evolving environment
Curious, proactive, and eager to learn
Nice to Have
Experience supporting an S-1 filing and transition to public company reporting
Background in a national office or accounting advisory practice
Experience in a startup or high-growth technology environment
Familiarity with AI, SaaS/IaaS, or consumption-based business models
Strong knowledge of SEC reporting requirements (10-K, 10-Q, S-1)
Experience implementing new accounting standards
Experience with SOX readiness and public company controls
Proven ability to improve processes and support system implementations
Ability to simplify complex issues and build scalable solutions
Comfortable working independently in ambiguous, fast-paced settings
Proactive mindset with a track record of driving thoughtful improvements
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWhat You’ll Do\n\n - IPO & Financial Reporting\n \n - Lead or support S-1 preparation, including drafting and reviewing financial statements, MD&A, and footnotes in line with SEC and U.S. GAAP requirements\n \n - Partner with FP&A, Legal, and Investor Relations to ensure financial reporting aligns with the overall S-1 story\n \n - Work closely with auditors, valuation specialists, and legal counsel to support filing and audit readiness\n \n - Own the monthly, quarterly, and annual financial statements preparation process in compliance with the U.S. GAAP and SEC reporting requirements (10-K, 10-Q post-IPO)\n \n - Support non-GAAP reconciliations, key metrics reporting, and investor-facing disclosures\n\n - Technical Accounting & Policy Development\n \n - Prepare and maintain technical accounting memos to support audits and SEC review\n \n - Support SOX 404(a) readiness by improving documentation and strengthening key controls over financial reporting\n \n - Develop and update accounting policies and procedures to ensure compliance with U.S. GAAP\n\n - Process Improvement & Team Development\n \n - Support monthly, quarterly, and annual close to ensure consistent application of accounting policies\n \n - Partner with cross-functional teams to evaluate and document accounting impacts of new contracts and business initiatives\n \n - Improve accounting processes, strengthen controls, and drive automation where possible\n \n - Monitor new FASB guidance and recommend practical implementation approaches\n \n - Provide guidance to team members on technical accounting matters\n \n - Support ad-hoc projects and other accounting or reporting initiatives\n\nYou\n\n - 10+ years of accounting experience, including 6+ years in technical accounting and financial reporting\n\n - Active CPA license\n\n - Strong U.S. GAAP knowledge and technical accounting research experience\n\n - 5+ years at a Big 4 firm and/or high-growth technology company\n\n - Proficient in accounting systems (NetSuite preferred) and advanced Excel skills\n\n - Strong written and verbal communication skills, able to explain complex topics clearly\n\n - Highly organized with strong time management and attention to detail\n\n - Self-starter who can work independently and meet deadlines\n\n - Comfortable in a fast-paced, evolving environment\n\n - Curious, proactive, and eager to learn\n\nNice to Have\n\n - Experience supporting an S-1 filing and transition to public company reporting\n\n - Background in a national office or accounting advisory practice\n\n - Experience in a startup or high-growth technology environment\n\n - Familiarity with AI, SaaS/IaaS, or consumption-based business models\n\n - Strong knowledge of SEC reporting requirements (10-K, 10-Q, S-1)\n\n - Experience implementing new accounting standards\n\n - Experience with SOX readiness and public company controls\n\n - Proven ability to improve processes and support system implementations\n\n - Ability to simplify complex issues and build scalable solutions\n\n - Comfortable working independently in ambiguous, fast-paced settings\n\n - Proactive mindset with a track record of driving thoughtful improvements\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$206K – $310K","scrapeableCompensationSalarySummary":"$206K - $310K","compensationTiers":[{"id":"d9893ed4-e81e-4ec8-9ff7-7ddedc67d02f","tierSummary":"$206K – $310K","title":null,"additionalInformation":null,"components":[{"id":"e8347ebc-b35e-402c-8b0c-e16b45fe8206","summary":"$206K – $310K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":310000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":310000}]}},{"id":"5c9645e4-b3ac-48a4-bbd1-19d38f927cfc","title":"Senior Counsel - Commercial","department":"G&A","team":"Legal","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-06T01:15:38.087+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/5c9645e4-b3ac-48a4-bbd1-19d38f927cfc","applyUrl":"https://jobs.ashbyhq.com/lambda/5c9645e4-b3ac-48a4-bbd1-19d38f927cfc/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
As demand for compute and AI capabilities accelerates globally, Lambda is rapidly expanding its cloud platform, data center footprint, and strategic partnerships with enterprises, hyperscalers, and leading AI companies. Lambda’s legal team plays a critical role in enabling this growth by structuring and negotiating the agreements that power Lambda’s most important customer relationships, infrastructure partnerships, and global expansion efforts.
As Senior Counsel - Commercial, you’ll join a lean, high-impact legal team where your work will immediately shape how Lambda scales. You will partner closely with senior leaders across the company to support complex, high-value deals while helping bring additional execution capacity to a fast-moving commercial legal function. From negotiating multi-million dollar infrastructure agreements to supporting strategic enterprise partnerships, you will be directly involved in the transactions that enable Lambda to scale its AI cloud platform and support the next generation of AI innovation.
What You’ll Do
Draft, review, and negotiate a broad range of high-value commercial agreements including customer contracts, data center service provider agreements, partner and reseller agreements, distributor arrangements, and marketing partnerships.
Partner with the AGC to own and manage enterprise deal negotiations.
Collaborate cross-functionally with Sales, Marketing, Product, and Finance teams to enable deals while ensuring appropriate legal risk management.
Advise on contract structure and associated risks, ensuring alignment with organizational goals and legal requirements.
Use legal technology and automation tools to streamline contracting processes, compliance tracking, and knowledge management.
Identify and own improvements to the team’s operations, templates, and playbooks.
Operate independently and provide practical, decisive guidance to our business teams that balances business objectives with legal risk.
You
J.D. degree from an accredited law school and membership in at least one U.S. state bar.
10+ years of legal experience, with at least 3 years in-house (ideally in the technology, cloud infrastructure, or SaaS sector).
Extensive experience drafting and negotiating complex commercial transactions on the buy-side and sell-side.
Growth mindset, enjoys working in a fast-paced environment and managing multiple concurrent projects and tasks to completion within the required time frame.
Interest in growing your impact and responsibilities over time.
Team mentality with the flexibility to address unique issues in real-time and the awareness to know when to bring in others.
Nice to Have
Experience in infrastructure-as-a-service industry
Familiarity with privacy, data security, and/or compliance frameworks (e.g., SOC 2, ISO 27001) is strongly preferred.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAs demand for compute and AI capabilities accelerates globally, Lambda is rapidly expanding its cloud platform, data center footprint, and strategic partnerships with enterprises, hyperscalers, and leading AI companies. Lambda’s legal team plays a critical role in enabling this growth by structuring and negotiating the agreements that power Lambda’s most important customer relationships, infrastructure partnerships, and global expansion efforts.\n\nAs Senior Counsel - Commercial, you’ll join a lean, high-impact legal team where your work will immediately shape how Lambda scales. You will partner closely with senior leaders across the company to support complex, high-value deals while helping bring additional execution capacity to a fast-moving commercial legal function. From negotiating multi-million dollar infrastructure agreements to supporting strategic enterprise partnerships, you will be directly involved in the transactions that enable Lambda to scale its AI cloud platform and support the next generation of AI innovation.\n\nWhat You’ll Do\n\n - Draft, review, and negotiate a broad range of high-value commercial agreements including customer contracts, data center service provider agreements, partner and reseller agreements, distributor arrangements, and marketing partnerships.\n\n - Partner with the AGC to own and manage enterprise deal negotiations.\n\n - Collaborate cross-functionally with Sales, Marketing, Product, and Finance teams to enable deals while ensuring appropriate legal risk management.\n\n - Advise on contract structure and associated risks, ensuring alignment with organizational goals and legal requirements.\n\n - Use legal technology and automation tools to streamline contracting processes, compliance tracking, and knowledge management.\n\n - Identify and own improvements to the team’s operations, templates, and playbooks.\n\n - Operate independently and provide practical, decisive guidance to our business teams that balances business objectives with legal risk.\n\nYou\n\n - J.D. degree from an accredited law school and membership in at least one U.S. state bar.\n\n - 10+ years of legal experience, with at least 3 years in-house (ideally in the technology, cloud infrastructure, or SaaS sector).\n\n - Extensive experience drafting and negotiating complex commercial transactions on the buy-side and sell-side.\n\n - Growth mindset, enjoys working in a fast-paced environment and managing multiple concurrent projects and tasks to completion within the required time frame.\n\n - Interest in growing your impact and responsibilities over time.\n\n - Team mentality with the flexibility to address unique issues in real-time and the awareness to know when to bring in others.\n\nNice to Have\n\n - Experience in infrastructure-as-a-service industry\n\n - Familiarity with privacy, data security, and/or compliance frameworks (e.g., SOC 2, ISO 27001) is strongly preferred.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$229K – $343K","scrapeableCompensationSalarySummary":"$229K - $343K","compensationTiers":[{"id":"88c49762-fce2-469b-ad9f-7800775217b5","tierSummary":"$229K – $343K","title":null,"additionalInformation":null,"components":[{"id":"544156aa-fcac-4346-9dc7-641fa5b2e4bb","summary":"$229K – $343K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":229000,"maxValue":343000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":229000,"maxValue":343000}]}},{"id":"1603a325-09b0-47a8-bdba-e31dc74e5f27","title":"Engineering Manager - Console User Experience","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-05T00:45:53.700+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/1603a325-09b0-47a8-bdba-e31dc74e5f27","applyUrl":"https://jobs.ashbyhq.com/lambda/1603a325-09b0-47a8-bdba-e31dc74e5f27/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Lambda is building the cloud for AI. Tens of thousands of researchers, startups, and enterprises rely on Lambda to provision GPUs, train models, and run production AI workloads.
The Console is the front door to Lambda’s cloud. It is where customers provision clusters, manage GPUs, configure networking, control identity, and monitor usage and billing. As Lambda expands into enterprise and dedicated region offerings, the Console becomes increasingly strategic.
We are looking for an Engineering Manager to lead the Console Experience team.
About the Role
You will lead a team of frontend and full-stack engineers responsible for Lambda’s customer-facing cloud console and related API integrations.
This is a hands-on leadership role. You’ll be responsible for execution, team health, and technical direction while staying close to architecture and design decisions.
You’ll partner closely with Product, Design, API Experience, Billing, Control Plane, Support and Platform teams to translate complex infrastructure capabilities into intuitive, reliable workflows for customers.
This role is ideal for someone who has led a team before and wants to grow into a broader platform and organizational ownership over time.
What You’ll Do
Lead and grow a team of ~4–6 engineers focused on Lambda’s cloud console
Own execution of roadmap initiatives across identity, billing, cluster lifecycle, support and governance workflows
Partner closely with Product and Design to define clear scope, sequencing, and tradeoffs
Drive architectural decisions around frontend systems, API integration, and performance
Ensure high standards for quality, reliability, and maintainability
Balance shipping velocity with foundational improvements
Collaborate cross-functionally with Control Plane, Billing, Support and Platform teams to deliver cohesive experiences
Mentor engineers and help them grow technically and professionally
Contribute to a culture of documentation, ownership, and accountability
You
7+ years of industry experience in software engineering
3+ years of engineering management experience
Built or led customer-facing web applications, ideally in SaaS, cloud, or infrastructure environments
Comfortable reviewing and reasoning about frontend and backend code (React, TypeScript, APIs, etc.)
Can drive clarity in ambiguous problem spaces
Care about user experience, even when building infrastructure-heavy systems
Comfortable navigating cross-team dependencies in a fast-moving environment
Experience balancing roadmap delivery with operational and technical debt work
Nice to Have
Experience building cloud console interfaces
Experience working in a high-growth startup
Exposure to enterprise customers or governance features
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco/San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nLambda is building the cloud for AI. Tens of thousands of researchers, startups, and enterprises rely on Lambda to provision GPUs, train models, and run production AI workloads.\n\nThe Console is the front door to Lambda’s cloud. It is where customers provision clusters, manage GPUs, configure networking, control identity, and monitor usage and billing. As Lambda expands into enterprise and dedicated region offerings, the Console becomes increasingly strategic.\n\nWe are looking for an Engineering Manager to lead the Console Experience team.\n\nAbout the Role\n\nYou will lead a team of frontend and full-stack engineers responsible for Lambda’s customer-facing cloud console and related API integrations.\n\nThis is a hands-on leadership role. You’ll be responsible for execution, team health, and technical direction while staying close to architecture and design decisions.\n\nYou’ll partner closely with Product, Design, API Experience, Billing, Control Plane, Support and Platform teams to translate complex infrastructure capabilities into intuitive, reliable workflows for customers.\n\nThis role is ideal for someone who has led a team before and wants to grow into a broader platform and organizational ownership over time.\n\nWhat You’ll Do\n\n - Lead and grow a team of ~4–6 engineers focused on Lambda’s cloud console\n\n - Own execution of roadmap initiatives across identity, billing, cluster lifecycle, support and governance workflows\n\n - Partner closely with Product and Design to define clear scope, sequencing, and tradeoffs\n\n - Drive architectural decisions around frontend systems, API integration, and performance\n\n - Ensure high standards for quality, reliability, and maintainability\n\n - Balance shipping velocity with foundational improvements\n\n - Collaborate cross-functionally with Control Plane, Billing, Support and Platform teams to deliver cohesive experiences\n\n - Mentor engineers and help them grow technically and professionally\n\n - Contribute to a culture of documentation, ownership, and accountability\n \n\nYou\n\n - 7+ years of industry experience in software engineering\n\n - 3+ years of engineering management experience\n\n - Built or led customer-facing web applications, ideally in SaaS, cloud, or infrastructure environments\n\n - Comfortable reviewing and reasoning about frontend and backend code (React, TypeScript, APIs, etc.)\n\n - Can drive clarity in ambiguous problem spaces\n\n - Care about user experience, even when building infrastructure-heavy systems\n\n - Comfortable navigating cross-team dependencies in a fast-moving environment\n\n - Experience balancing roadmap delivery with operational and technical debt work\n\nNice to Have\n\n - Experience building cloud console interfaces\n\n - Experience working in a high-growth startup\n\n - Exposure to enterprise customers or governance features\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$330K – $495K","scrapeableCompensationSalarySummary":"$330K - $495K","compensationTiers":[{"id":"a9e3ec2a-0393-4db4-bc95-37903a456946","tierSummary":"$330K – $495K","title":null,"additionalInformation":null,"components":[{"id":"121d2c98-08b5-48a3-b86e-3ad114e11ba7","summary":"$330K – $495K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":495000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":330000,"maxValue":495000}]}},{"id":"e971621e-2a3d-4359-b349-9493007d517c","title":"Data Center Operations Systems Engineer (Kansas City, MO)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Kansas City, MO - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-20T20:41:12.250+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Missouri","addressCountry":"United States","addressLocality":"Kansas City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/e971621e-2a3d-4359-b349-9493007d517c","applyUrl":"https://jobs.ashbyhq.com/lambda/e971621e-2a3d-4359-b349-9493007d517c/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Kansas City, MO Data Center 5 days per week, 7/24 shift coverage
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 2+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Kansas City, MO Data Center 5 days per week, 7/24 shift coverage\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 2+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried non-exempt role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$89K – $145K","scrapeableCompensationSalarySummary":"$89K - $145K","compensationTiers":[{"id":"1612e62f-4100-458d-bb56-da240155234a","tierSummary":"$89K – $145K","title":null,"additionalInformation":null,"components":[{"id":"8cec4423-521d-49c5-9a8b-cb1025578799","summary":"$89K – $145K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":145000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":89000,"maxValue":145000}]}},{"id":"f12a5895-f97d-4583-8d67-ef66a9b30b39","title":"Account Director - Superintelligence","department":"Sales & Marketing","team":"Sales Operations","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-01T17:23:45.979+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f12a5895-f97d-4583-8d67-ef66a9b30b39","applyUrl":"https://jobs.ashbyhq.com/lambda/f12a5895-f97d-4583-8d67-ef66a9b30b39/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
As Account Director, you will be a trusted advisor to Lambda’s Superintelligence customers; you will be the primary Lambda point of contact for the customer’s executives, champions, and power users alike; and you will champion their needs inside Lambda. You will be measured based on customer uptime, sentiment, and retention; and you will balance your own direct contributions with project management of Lambda internal teams to deliver structure, accountability, and results. You will educate customers on the latest industry trends and best practices, ultimately helping customers’ infrastructure teams deliver for their customers while maximizing tokens per dollar per watt. You will understand the customer’s business goals, create demand plans, and help turn their AI strategy into flawless execution.
Key Responsibilities
For your assigned book of business, define and lead the overall account strategy for Lambda’s AI infrastructure platform, ensuring customers derive maximum value and achieve agreed upon measurable outcomes.
Serve as a trusted advisor. Build and deepen relationships across a broad range of stakeholders including end-users, decision-makers, and executives. Align on a joint success plan, including a roadmap for mission critical workloads and their associated compute demand plans.
Establish customer health metrics and target benchmarks (user adoption, utilization, support metrics, sentiment, retention, and expansion); create remediation plans where off track.
Drive customer onboarding and lifecycle processes - ensure seamless cluster deployment, adoption; understand and advocate for new feature requests as they present themselves.
Partner cross-functionally with Product, Engineering, Customer Experience, and Marketing to ensure exceptional value realization.
Lead quarterly business reviews (QBRs) and executive engagements with strategic accounts; articulate Lambda’s roadmap, manage expectations, and ensure alignment on mutual goals.
Advocate internally for customer needs, feature enhancements and best practices - act as a champion for the voice of the customer within Lambda.
Minimum Qualifications
10+ years of experience in Account Management, Customer Success, or equivalent, ideally within cloud infrastructure or AI/ML-focused companies.
Proven track-record driving customer retention and expansion at Enterprise scale.
Strong technical understanding of cloud infrastructure, GPU/AI workloads, developer workflows or related fields; able to engage with ML/AI researchers and engineering teams, yet translate outcomes into business value.
Excellent written/verbal communication skills, and comfort operating in executive forums; ability to de-escalate complex issues and maintain trusted advisor status with key stakeholders.
Process-oriented, metrics-driven, with a mindset of continuous improvement and ability to scale operations.
Strong leadership presence: able to build, influence, and lead cross-functional teams in a fast-paced environment.
Nice to have: background in AI hardware, GPU clusters, HPC, or large-scale cloud infrastructure.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nAs Account Director, you will be a trusted advisor to Lambda’s Superintelligence customers; you will be the primary Lambda point of contact for the customer’s executives, champions, and power users alike; and you will champion their needs inside Lambda. You will be measured based on customer uptime, sentiment, and retention; and you will balance your own direct contributions with project management of Lambda internal teams to deliver structure, accountability, and results. You will educate customers on the latest industry trends and best practices, ultimately helping customers’ infrastructure teams deliver for their customers while maximizing tokens per dollar per watt. You will understand the customer’s business goals, create demand plans, and help turn their AI strategy into flawless execution.\n\nKey Responsibilities\n\n - For your assigned book of business, define and lead the overall account strategy for Lambda’s AI infrastructure platform, ensuring customers derive maximum value and achieve agreed upon measurable outcomes.\n\n - Serve as a trusted advisor. Build and deepen relationships across a broad range of stakeholders including end-users, decision-makers, and executives. Align on a joint success plan, including a roadmap for mission critical workloads and their associated compute demand plans.\n\n - Establish customer health metrics and target benchmarks (user adoption, utilization, support metrics, sentiment, retention, and expansion); create remediation plans where off track.\n\n - Drive customer onboarding and lifecycle processes - ensure seamless cluster deployment, adoption; understand and advocate for new feature requests as they present themselves.\n\n - Partner cross-functionally with Product, Engineering, Customer Experience, and Marketing to ensure exceptional value realization.\n\n - Lead quarterly business reviews (QBRs) and executive engagements with strategic accounts; articulate Lambda’s roadmap, manage expectations, and ensure alignment on mutual goals.\n\n - Advocate internally for customer needs, feature enhancements and best practices - act as a champion for the voice of the customer within Lambda.\n\nMinimum Qualifications\n\n - 10+ years of experience in Account Management, Customer Success, or equivalent, ideally within cloud infrastructure or AI/ML-focused companies.\n\n - Proven track-record driving customer retention and expansion at Enterprise scale.\n\n - Strong technical understanding of cloud infrastructure, GPU/AI workloads, developer workflows or related fields; able to engage with ML/AI researchers and engineering teams, yet translate outcomes into business value.\n\n - Excellent written/verbal communication skills, and comfort operating in executive forums; ability to de-escalate complex issues and maintain trusted advisor status with key stakeholders.\n\n - Process-oriented, metrics-driven, with a mindset of continuous improvement and ability to scale operations.\n\n - Strong leadership presence: able to build, influence, and lead cross-functional teams in a fast-paced environment.\n\n - Nice to have: background in AI hardware, GPU clusters, HPC, or large-scale cloud infrastructure.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$345K – $500K","scrapeableCompensationSalarySummary":"$345K - $500K","compensationTiers":[{"id":"02d58c4a-8243-4538-bde8-11c9b6d7d11f","tierSummary":"$345K – $500K","title":null,"additionalInformation":null,"components":[{"id":"65e8e4af-1e7d-40c0-a603-6e98478496db","summary":"$345K – $500K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":345000,"maxValue":500000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":345000,"maxValue":500000}]}},{"id":"8714b844-7754-429a-a22f-2f849dbf9621","title":"Senior Storage Engineer","department":"Data Center Business","team":"Infrastructure Engineering","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-16T23:00:38.769+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/8714b844-7754-429a-a22f-2f849dbf9621","applyUrl":"https://jobs.ashbyhq.com/lambda/8714b844-7754-429a-a22f-2f849dbf9621/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.
Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.
Our expertise lies at the intersection of:
High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.
Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.
Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.
Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.
About the Role:
You will focus on design, standards, and domain expertise
Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.
Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.
Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.
Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.
Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.
You Have:
8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments
A strong understanding of diverse storage solutions and their ecosystems:
Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE
File, Block, and Object storage types
Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.
NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE
Storage performance via RDMA, GPUDirect Storage, parallel file systems
Encryption, storage security, and multi-tenancy strategies
Storage data-reduction, compression, and encryption
Backup and data protection
5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).
Nice to Have
Experience with Kubernetes, including CSI and COSI drivers and CNI’s
Deep understanding of storage performance
Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)
Experience deploying, operating, and maintaining Software Defined Storage
Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nProduct Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.\n\nFor distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale.\n\nLambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters.\n\nOur expertise lies at the intersection of:\n\n - High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs.\n\n - Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware.\n\n - Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure.\n\n - Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation.\n\nAbout the Role:\n\nYou will focus on design, standards, and domain expertise\n\n - Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers.\n\n - Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations.\n\n - Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions.\n\n - Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance.\n\n - Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains.\n\nYou Have:\n\n - 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments\n\n - A strong understanding of diverse storage solutions and their ecosystems:\n \n - Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE\n \n - File, Block, and Object storage types\n \n - Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols.\n \n - NVMEoverFabricStorage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE\n \n - Storage performance via RDMA, GPUDirect Storage, parallel file systems\n \n - Encryption, storage security, and multi-tenancy strategies\n \n - Storage data-reduction, compression, and encryption\n \n - Backup and data protection\n\n - 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible).\n\nNice to Have\n\n - Experience with Kubernetes, including CSI and COSI drivers and CNI’s\n\n - Deep understanding of storage performance\n\n - Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management)\n\n - Experience deploying, operating, and maintaining Software Defined Storage\n\n - Have implemented either open-source or commercial monitoring solutions of storage and storage-adjacent solutions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$296K – $445K","scrapeableCompensationSalarySummary":"$296K - $445K","compensationTiers":[{"id":"b041c912-bf42-4bf5-b69c-eae8e36d1b49","tierSummary":"$296K – $445K","title":null,"additionalInformation":null,"components":[{"id":"858f4bcc-1690-4680-ae62-7fa67d749d87","summary":"$296K – $445K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":445000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":445000}]}},{"id":"b6182853-e064-4377-b235-0ce30d2c7443","title":"Staff Storage Systems Architect","department":"Data Center Business","team":"HPC Architecture","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-03-24T03:43:26.836+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b6182853-e064-4377-b235-0ce30d2c7443","applyUrl":"https://jobs.ashbyhq.com/lambda/b6182853-e064-4377-b235-0ce30d2c7443/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs.
You will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements.
What You'll Do:
Architect, design, and implement distributed storage solutions optimized for AI workloads.
Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.
Evaluate and benchmark storage technologies to meet demanding AI performance requirements.
Collaborate with engineering teams to integrate storage solutions with cloud product offerings.
Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.
Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.
Provide mentorship and technical leadership to storage and infrastructure engineers.
About You:
Proven experience (7+ years) designing and implementing distributed storage systems.
Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).
In-depth knowledge of underlying hardware systems supporting storage deployments.
Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.
Experience working with high-performance and high-availability storage solutions.
Familiarity with object, block, and file storage protocols.
Ability to identify, analyze, and resolve complex technical issues.
Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.
Nice to Have:
Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.
Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).
Familiarity with container storage solutions and orchestration.
Experience managing storage in large-scale cloud environments.
Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWe're looking for a Storage Systems Architect experienced in designing, planning, testing, and implementing large-scale distributed storage systems. You will play a critical role in defining our storage infrastructure strategy, driving technical solutions that ensure scalability, reliability, and efficiency for our growing business and operational needs.\n\nYou will collaborate closely with engineering teams, infrastructure operations, and product stakeholders to ensure our storage solutions align with company objectives and technical requirements.\n\nWhat You'll Do:\n\n - Architect, design, and implement distributed storage solutions optimized for AI workloads.\n\n - Drive the development of storage system standards and best practices to ensure consistency and reliability across infrastructure.\n\n - Evaluate and benchmark storage technologies to meet demanding AI performance requirements.\n\n - Collaborate with engineering teams to integrate storage solutions with cloud product offerings.\n\n - Define and maintain storage capacity plans, performance metrics, and scalability roadmaps.\n\n - Drive operational excellence, ensuring high availability, disaster recovery, and data integrity.\n\n - Provide mentorship and technical leadership to storage and infrastructure engineers.\n\n\nAbout You:\n\n - Proven experience (7+ years) designing and implementing distributed storage systems.\n\n - Deep expertise with distributed storage technologies (e.g., Ceph, Lustre, or similar).\n\n - In-depth knowledge of underlying hardware systems supporting storage deployments.\n\n - Strong understanding of storage architectures, data replication, redundancy strategies, and performance optimization techniques.\n\n - Experience working with high-performance and high-availability storage solutions.\n\n - Familiarity with object, block, and file storage protocols.\n\n - Ability to identify, analyze, and resolve complex technical issues.\n\n - Excellent communication skills, capable of clearly articulating technical concepts to diverse stakeholders.\n\nNice to Have:\n\n - Expertise in designing, implementing, and managing both enterprise-grade and open-source storage systems.\n\n - Experience with cloud storage solutions (AWS S3, Azure Blob Storage, Google Cloud Storage).\n\n - Familiarity with container storage solutions and orchestration.\n\n - Experience managing storage in large-scale cloud environments.\n\n - Exposure to data security, compliance, and regulatory requirements (e.g., GDPR, HIPAA).\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$349K – $523K","scrapeableCompensationSalarySummary":"$349K - $523K","compensationTiers":[{"id":"3b1c6b41-3e27-471c-85b8-30097450a9b1","tierSummary":"$349K – $523K","title":null,"additionalInformation":null,"components":[{"id":"f769ced0-0c10-4fa1-a952-f11821c71d74","summary":"$349K – $523K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":523000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":349000,"maxValue":523000}]}},{"id":"b6d72a53-6a41-44b9-8e7e-383be950dba6","title":"Senior Software Engineer - API Experience","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"Bellevue, WA","address":{"postalAddress":{"addressRegion":"Washington","addressCountry":"United States","addressLocality":"Seattle"}}}],"publishedAt":"2026-03-24T19:18:53.853+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/b6d72a53-6a41-44b9-8e7e-383be950dba6","applyUrl":"https://jobs.ashbyhq.com/lambda/b6d72a53-6a41-44b9-8e7e-383be950dba6/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
What The Role is About
The API Experience team is responsible for Lambda’s customer-facing Core Cloud APIs — everything from creating a new instance or attaching storage to managing VPCs. We deliver a delightful, consistent, and cohesive API-first experience to all our customers, from self-serve Public Cloud users to the largest, most demanding AI companies on the planet.
What You’ll Do
Build end-to-end features for Lambda Cloud.
Contribute to both frontend and backend code across existing and new features.
Collaborate with Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut across the stack.
Partner with Product Managers to design, scope, and deliver features that are critical to customer success, without compromising on our product quality.
Work directly with Superintelligence customers’ engineering teams.
Own production features and systems, including participating in incident response rotations.
Design and implement observability and maintenance processes for the new features we build.
You
Backend experience building business-critical services using Python, Unix/Command line, Django or FastAPI, and Postgres.
Proven experience owning complex features end-to-end, from defining problems with Product to GA release and measuring success criteria, in highly ambiguous environments under tight deadlines.
Proven ability to clearly communicate trade offs in scoping and timelines.
Experience designing, implementing, and maintaining developer-facing APIs and documentation.
Additional Core Experience
CI/CD: Automation for testing and deployment workflows
Reliability & Observability: Logging, alerting, and building highly available systems
Cloud Native Services: Experience with AWS, Okta, Cloudflare, etc.
Nice-to-Haves
Experience with Kubernetes
Infrastructure as Code (e.g.,Terraform, Atlantis, Crossplane)
Experience in ML, AI, or data science
Application security and web hardening
Engineering leadership or mentorship experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nWhat The Role is About\n\nThe API Experience team is responsible for Lambda’s customer-facing Core Cloud APIs — everything from creating a new instance or attaching storage to managing VPCs. We deliver a delightful, consistent, and cohesive API-first experience to all our customers, from self-serve Public Cloud users to the largest, most demanding AI companies on the planet.\n\nWhat You’ll Do\n\n - Build end-to-end features for Lambda Cloud.\n\n - Contribute to both frontend and backend code across existing and new features.\n\n - Collaborate with Product Engineering, Platform, and Infrastructure teams to deliver solutions that cut across the stack.\n\n - Partner with Product Managers to design, scope, and deliver features that are critical to customer success, without compromising on our product quality.\n\n - Work directly with Superintelligence customers’ engineering teams.\n\n - Own production features and systems, including participating in incident response rotations.\n\n - Design and implement observability and maintenance processes for the new features we build.\n\nYou\n\n - Backend experience building business-critical services using Python, Unix/Command line, Django or FastAPI, and Postgres.\n\n - Proven experience owning complex features end-to-end, from defining problems with Product to GA release and measuring success criteria, in highly ambiguous environments under tight deadlines.\n\n - Proven ability to clearly communicate trade offs in scoping and timelines.\n\n - Experience designing, implementing, and maintaining developer-facing APIs and documentation.\n\nAdditional Core Experience\n\n - CI/CD: Automation for testing and deployment workflows\n\n - Reliability & Observability: Logging, alerting, and building highly available systems\n\n - Cloud Native Services: Experience with AWS, Okta, Cloudflare, etc.\n\nNice-to-Haves\n\n - Experience with Kubernetes\n\n - Infrastructure as Code (e.g.,Terraform, Atlantis, Crossplane)\n\n - Experience in ML, AI, or data science\n\n - Application security and web hardening\n\n - Engineering leadership or mentorship experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$266K – $445K • Multiple Ranges","scrapeableCompensationSalarySummary":"$266K - $445K","compensationTiers":[{"id":"dfd1aa71-6028-40cf-b9b1-299e059f5d04","tierSummary":"$296K – $445K","title":"San Jose/San Francisco","additionalInformation":null,"components":[{"id":"b0263629-6408-485d-86a4-ba32dcea7f3b","summary":"$296K – $445K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":445000}]},{"id":"fff7a4d0-ecff-4c78-bb01-fb90217c1fca","tierSummary":"$266K – $401K","title":"Bellevue","additionalInformation":null,"components":[{"id":"02bd730a-ad9c-43e5-ba3d-fc0cac40a22e","summary":"$266K – $401K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":266000,"maxValue":401000}]}],"summaryComponents":[{"minValue":266000,"maxValue":445000,"currencyCode":"USD","interval":"1 YEAR","compensationType":"Salary"}]}},{"id":"85fd4ac0-e920-4ac4-8af2-a12cb5daa824","title":"Head of Corporate Strategy","department":"Data Center Business","team":"Commercial Strategy","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-04-10T16:29:37.847+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/85fd4ac0-e920-4ac4-8af2-a12cb5daa824","applyUrl":"https://jobs.ashbyhq.com/lambda/85fd4ac0-e920-4ac4-8af2-a12cb5daa824/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The Opportunity
We're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.
What You'll Do
Lead Corporate Strategy & Long-Range Planning
Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy
Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions
Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations
Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities
Drive Executive Communication & Stakeholder Alignment
Develop board-level strategy materials and CEO decision-support documents
Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions
Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums
Support Commercial Strategy
Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts
Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar
Support Strategic Technology Evaluation
Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs
Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.
Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios
Build Market & Organizational Intelligence
Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics
Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership
Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves
Mentor and develop strategy analysts and associates; scale team output as the function grows
What You'll Have
10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company
Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses
Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations
Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction
Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments
Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued
Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output
Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials
Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it
Education & Credentials
Bachelor's degree in Economics, Finance, Business, or related field required
MBA from a top-tier institution strongly preferred
Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nThe Opportunity\n\nWe're looking for a Head of Corporate Strategy to serve as a key strategic thought partner to the SVP of Commercial Strategy and Lambda's senior leadership team. As we scale rapidly across GPU cloud, data center infrastructure, and AI systems, we need a seasoned strategist who can independently own Lambda's corporate strategy function—synthesizing market intelligence, competitive dynamics, and internal data into clear strategic choices—and drive high-priority cross-functional initiatives from concept to execution. This role sits at the intersection of long-range planning, commercial strategy, M&A and technology evaluation, executive communication, and will have high visibility with the CEO and C-suite.\n\nWhat You'll Do\n\n - Lead Corporate Strategy & Long-Range Planning\n \n - Own Lambda's annual and multi-year strategic planning process, synthesizing input from commercial, product, finance, and operations into a cohesive corporate strategy\n \n - Identify and size emerging opportunities in AI infrastructure, GPU cloud, and adjacent markets; develop strategic frameworks to guide investment and build/buy/partner decisions\n \n - Lead competitive intelligence efforts—tracking hyperscalers, co-location providers, GPU cloud competitors, and AI-native challengers—and translate insights into executive recommendations\n \n - Partner with the CFO and Finance to align the long-range strategic plan with the financial model and capital allocation priorities\n\n - Drive Executive Communication & Stakeholder Alignment\n \n - Develop board-level strategy materials and CEO decision-support documents\n \n - Drive alignment across senior leadership on strategic priorities; create clear frameworks to resolve competing resource and investment decisions\n \n - Prepare the CEO and SVP for external strategy conversations, including customer EBRs, partner discussions, and industry forums\n \n - Support Commercial Strategy\n \n - Partner with the SVP of Commercial Strategy on go-to-market architecture, pricing strategy, and large deal structuring for enterprise and hyperscaler accounts\n \n - Lead cross-functional projects on behalf of the SVP, ensuring workstreams deliver on time and at C-suite quality bar\n\n - Support Strategic Technology Evaluation\n \n - Own the framework for evaluating long range strategic technology areas that maybe synergistic with Lambda’s current business —from initial screening and thesis development through diligence and recommendation. This includes assess emerging technologies, AI software platforms, hardware capabilities, and infrastructure tooling for strategic fit, competitive differentiation, and build/buy/partner trade-offs\n \n - Develop and maintain a structured pipeline of potential partnership opportunities in AI infrastructure, silicon, networking, and adjacent software markets while working closely with the corporate development team on potential M&A fit.\n \n - Lead financial and strategic diligence workstreams: market sizing, competitive positioning, synergy modeling, integration risk assessment, and long-range value creation scenarios\n \n - Build Market & Organizational Intelligence\n \n - Build and maintain Lambda's strategic market model—tracking TAM/SAM, competitive positioning, win/loss patterns, and customer segment dynamics\n \n - Synthesize signals from Sales, Product, Data Center Ops, and Finance into strategic insight for senior leadership\n \n - Develop Lambda's perspective on macro trends shaping AI infrastructure demand: model training workloads, inference at scale, sovereign AI, and enterprise adoption curves\n \n - Mentor and develop strategy analysts and associates; scale team output as the function grows\n\nWhat You'll Have\n\n - 10+ years of experience across strategy consulting (McKinsey, BCG, Bain, or equivalent), investment banking, and/or corporate strategy at a high-growth or publicly traded technology company\n\n - Deep expertise in AI, cloud infrastructure, or data center markets; ability to independently develop and own market models, competitive landscapes, and investment theses\n\n - Demonstrated track record of independently translating ambiguous, high-stakes strategic questions into boardroom-ready frameworks and executive recommendations\n\n - Experience leading large, cross-functional strategic initiatives with direct C-suite accountability and material impact on company direction\n\n - Familiarity evaluating AI software, hardware, or infrastructure technologies for strategic fit; ability to engage credibly with technical teams on architecture and capability assessments\n\n - Prior role as a right-hand strategic partner to a CCO, CRO, or President in a commercial strategy capacity is valued\n\n - Track record of building, mentoring, or managing strategy teams; ability to develop junior talent and scale team output\n\n - Exceptional written and verbal communication skills; proven ability to develop and deliver board-level strategy materials\n\n - Operates with VP-adjacent ownership—sets the agenda, manages ambiguity, and builds the function rather than just executing within it\n\nEducation & Credentials\n\n - Bachelor's degree in Economics, Finance, Business, or related field required\n\n - MBA from a top-tier institution strongly preferred\n\n - Prior experience in a structured analytical training program (consulting, banking, or equivalent) strongly preferred\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$300K – $450K","scrapeableCompensationSalarySummary":"$300K - $450K","compensationTiers":[{"id":"fca1a0a7-6240-4c11-aab5-c32c264ca7f6","tierSummary":"$300K – $450K","title":null,"additionalInformation":null,"components":[{"id":"8a864017-0747-43dc-88f3-3965f4df6ee2","summary":"$300K – $450K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":300000,"maxValue":450000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":300000,"maxValue":450000}]}},{"id":"7eef85b3-329e-4152-b111-7da9998edcef","title":"Senior Human Resources Generalist","department":"G&A","team":"HR","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-31T19:17:41.932+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7eef85b3-329e-4152-b111-7da9998edcef","applyUrl":"https://jobs.ashbyhq.com/lambda/7eef85b3-329e-4152-b111-7da9998edcef/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
The HR Operations team is engaged in the administration of a broad range of HR activities associated with the employee lifecycle. The team acts as the first point of contact for queries from managers and staff across the company and also provides a comprehensive administrative support service to the HR team, supporting all projects undertaken with the HR Department.
As a Senior HR Generalist at Lambda, you will play a key role in delivering a high-quality and responsive HR service, ensuring HRIS data integrity, automating workflows, and continuously improving HR processes to support scalability, sustainability, and simplicity.
What You’ll Do
Champion and actively reinforce Lambda’s culture, mission, purpose, and values across the organization, serving as a trusted partner to leaders and employees
Establish, evolve, and enforce company policies, ensuring alignment with business needs, compliance requirements, and best practices
Support the implementation, optimization, and ongoing management of HR systems, including Workday (HRIS) and ADP (payroll), ensuring data accuracy, process efficiency, and strong user experience
Ensure the integrity and maintenance of employee data across HR systems (e.g., HRIS, shared drives, knowledge management tools), with a focus on accuracy, security, and scalability.
Serve as a point of contact for employees on HR, benefits, and policy-related matters, providing guidance and driving resolution through HR shared channels and ticketing systems
Support compliance efforts for annual filings, reporting, and employee communications, partnering cross-functionally as needed
Act as the HR Operations point of contact for internal and external audits (e.g., SOC 2 Type I & II, ISO 27001), including maintaining documentation, responding to audit requests, and strengthening controls and processes
Perform other duties and responsibilities as assigned, operating with a high degree of ownership and autonomy
You
Have a Bachelor’s Degree or equivalent experience (1 year of work experience for every school year)
Have 5+ years of experience in HR Operations roles
Fluency in Workday, ADP, JIRA and Google Workspace
Have excellent communication, time management, and organizational skills
Can maintain high degrees of integrity handling sensitive and confidential information daily
Have proficiency in establishing, implementing, and enforcing company policies
Have the ability to collaborate, navigate ambiguity, and adapt to change, and balance
multiple priorities in a fast-paced environment
Have strong relationship building and networking skills
Can manage ambiguity across multiple priorities and to know when to escalate issues for final resolution
Experience in the technology industry
Start-up and / or remote environment experience
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nAbout the Role\n\nThe HR Operations team is engaged in the administration of a broad range of HR activities associated with the employee lifecycle. The team acts as the first point of contact for queries from managers and staff across the company and also provides a comprehensive administrative support service to the HR team, supporting all projects undertaken with the HR Department.\n\nAs a Senior HR Generalist at Lambda, you will play a key role in delivering a high-quality and responsive HR service, ensuring HRIS data integrity, automating workflows, and continuously improving HR processes to support scalability, sustainability, and simplicity.\n\nWhat You’ll Do\n\n - Champion and actively reinforce Lambda’s culture, mission, purpose, and values across the organization, serving as a trusted partner to leaders and employees\n\n - Establish, evolve, and enforce company policies, ensuring alignment with business needs, compliance requirements, and best practices\n\n - Support the implementation, optimization, and ongoing management of HR systems, including Workday (HRIS) and ADP (payroll), ensuring data accuracy, process efficiency, and strong user experience\n\n - Ensure the integrity and maintenance of employee data across HR systems (e.g., HRIS, shared drives, knowledge management tools), with a focus on accuracy, security, and scalability.\n\n - Serve as a point of contact for employees on HR, benefits, and policy-related matters, providing guidance and driving resolution through HR shared channels and ticketing systems\n\n - Support compliance efforts for annual filings, reporting, and employee communications, partnering cross-functionally as needed\n\n - Act as the HR Operations point of contact for internal and external audits (e.g., SOC 2 Type I & II, ISO 27001), including maintaining documentation, responding to audit requests, and strengthening controls and processes\n\n - Perform other duties and responsibilities as assigned, operating with a high degree of ownership and autonomy\n\nYou\n\n - Have a Bachelor’s Degree or equivalent experience (1 year of work experience for every school year)\n\n - Have 5+ years of experience in HR Operations roles\n\n - Fluency in Workday, ADP, JIRA and Google Workspace\n\n - Have excellent communication, time management, and organizational skills\n\n - Can maintain high degrees of integrity handling sensitive and confidential information daily\n\n - Have proficiency in establishing, implementing, and enforcing company policies\n\n - Have the ability to collaborate, navigate ambiguity, and adapt to change, and balance\n\n - multiple priorities in a fast-paced environment\n\n - Have strong relationship building and networking skills\n\n - Can manage ambiguity across multiple priorities and to know when to escalate issues for final resolution\n\n - Experience in the technology industry\n\n - Start-up and / or remote environment experience\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$146K – $220K","scrapeableCompensationSalarySummary":"$146K - $220K","compensationTiers":[{"id":"42ed79cd-d357-49a0-869c-ab7edc692aab","tierSummary":"$146K – $220K","title":null,"additionalInformation":null,"components":[{"id":"12adaf74-34b3-4961-92c0-b716a9aca35f","summary":"$146K – $220K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":146000,"maxValue":220000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":146000,"maxValue":220000}]}},{"id":"f0e28f05-9dd4-4b0d-8c35-bdf17a928503","title":"Senior Software Engineer - IAM","department":"Data Center Business","team":"Core Cloud","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-09T20:21:32.673+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f0e28f05-9dd4-4b0d-8c35-bdf17a928503","applyUrl":"https://jobs.ashbyhq.com/lambda/f0e28f05-9dd4-4b0d-8c35-bdf17a928503/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Role Summary
Build and scale Lambda’s Identity and Access Management (IAM) platform, enabling secure, reliable and intuitive access control across all products and customers.
As a Senior Engineer, you will own the design and implementation of core IAM capabilities such as RBAC, authentication flows, and identity lifecycle systems. You’ll work within Lambda’s broader IAM architecture to deliver systems that are secure, scalable and easy for developers and customers to use.
This role is ideal for engineers who enjoy working on security-critical systems, care deeply about correctness and usability, and can independently drive complex features from design through production. IAM is a critical foundation for Lambda’s enterprise readiness and will shape how customers securely access compute, data, and infrastructure at scale.
What you’ll Do
Design and implement core IAM components including identity models, authentication flows and authorization systems
Build and evolve enterprise IAM features such as RBAC, SSO (SAML/OIDC), SCIM provisioning, MFA, and audit logging
Own end-to-end delivery of IAM features from technical design to production rollout and monitoring
Collaborate with teams across API Experience, Billing, Core Cloud Platform, Console Experience, Infrastructure and Security to integrate consistent identity and access patterns across systems
Contribute to API design and ensure consistency in identity and permission semantics across services
Participate in design reviews and provide thoughtful input on system architecture and tradeoffs
Debug and resolve complex production issues in security-sensitive systems
Improve system reliability, observability, and operational workflows for IAM services
Mentor junior engineers and contribute to raising the bar on engineering quality
You (Must-Haves)
5+ years of backend or platform engineering experience
Strong experience building or working on authentication and/or authorization systems
Solid understanding of IAM fundamentals:
Authentication (OAuth2, OIDC, SAML)
Authorization (RBAC, ABAC, or similar models)
Identity lifecycle concepts (provisioning, deprovisioning)
Experience building distributed systems in a cloud or SaaS environment
Strong coding skills in Python or Go, with experience building production backend systems
Experience designing APIs and working with service-oriented architectures
Ability to independently own projects and deliver high-quality systems
Strong debugging, problem-solving, and communication skills
Nice-to-Haves
Experience with enterprise IAM features (SSO, SCIM, MFA, audit logs)
Familiarity with identity providers (Okta, Auth0, WorkOS)
Exposure to multi-tenant system design
Experience working on developer platforms or infrastructure products
Understanding of security best practices in cloud environments
Ability to interact directly with customers and partner with product to understand their IAM requirements
Strong academic background (EECS, Math, Software Engineering, Physics, or related fields)
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nRole Summary\n\nBuild and scale Lambda’s Identity and Access Management (IAM) platform, enabling secure, reliable and intuitive access control across all products and customers.\n\nAs a Senior Engineer, you will own the design and implementation of core IAM capabilities such as RBAC, authentication flows, and identity lifecycle systems. You’ll work within Lambda’s broader IAM architecture to deliver systems that are secure, scalable and easy for developers and customers to use.\n\nThis role is ideal for engineers who enjoy working on security-critical systems, care deeply about correctness and usability, and can independently drive complex features from design through production. IAM is a critical foundation for Lambda’s enterprise readiness and will shape how customers securely access compute, data, and infrastructure at scale.\n\nWhat you’ll Do\n\n - Design and implement core IAM components including identity models, authentication flows and authorization systems\n\n - Build and evolve enterprise IAM features such as RBAC, SSO (SAML/OIDC), SCIM provisioning, MFA, and audit logging\n\n - Own end-to-end delivery of IAM features from technical design to production rollout and monitoring\n\n - Collaborate with teams across API Experience, Billing, Core Cloud Platform, Console Experience, Infrastructure and Security to integrate consistent identity and access patterns across systems\n\n - Contribute to API design and ensure consistency in identity and permission semantics across services\n\n - Participate in design reviews and provide thoughtful input on system architecture and tradeoffs\n\n - Debug and resolve complex production issues in security-sensitive systems\n\n - Improve system reliability, observability, and operational workflows for IAM services\n\n - Mentor junior engineers and contribute to raising the bar on engineering quality\n\nYou (Must-Haves)\n\n - 5+ years of backend or platform engineering experience\n\n - Strong experience building or working on authentication and/or authorization systems\n\n - Solid understanding of IAM fundamentals:\n \n - Authentication (OAuth2, OIDC, SAML)\n \n - Authorization (RBAC, ABAC, or similar models)\n \n - Identity lifecycle concepts (provisioning, deprovisioning)\n\n - Experience building distributed systems in a cloud or SaaS environment\n\n - Strong coding skills in Python or Go, with experience building production backend systems\n\n - Experience designing APIs and working with service-oriented architectures\n\n - Ability to independently own projects and deliver high-quality systems\n\n - Strong debugging, problem-solving, and communication skills\n\nNice-to-Haves\n\n - Experience with enterprise IAM features (SSO, SCIM, MFA, audit logs)\n\n - Familiarity with identity providers (Okta, Auth0, WorkOS)\n\n - Exposure to multi-tenant system design\n\n - Experience working on developer platforms or infrastructure products\n\n - Understanding of security best practices in cloud environments\n\n - Ability to interact directly with customers and partner with product to understand their IAM requirements\n\n - Strong academic background (EECS, Math, Software Engineering, Physics, or related fields)\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$296K – $445K","scrapeableCompensationSalarySummary":"$296K - $445K","compensationTiers":[{"id":"bf7c8fed-3c87-4734-9db4-c307e966a741","tierSummary":"$296K – $445K","title":null,"additionalInformation":null,"components":[{"id":"68cdc32b-4ac8-47ca-b9f3-722960a7fded","summary":"$296K – $445K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":445000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":296000,"maxValue":445000}]}},{"id":"db219848-bd86-4da9-88c7-528d282b9a93","title":"Controller","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-03-31T21:55:53.780+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/db219848-bd86-4da9-88c7-528d282b9a93","applyUrl":"https://jobs.ashbyhq.com/lambda/db219848-bd86-4da9-88c7-528d282b9a93/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in both our San Francisco and San Jose office locations, for a combined 4 days per week.
Lambda is seeking an experienced Controller to lead and scale our accounting organization during a pivotal stage of growth. Reporting to the Chief Accounting Officer, this role will play a critical leadership position in building a best-in-class controllership function to support a rapidly expanding, multi-billion-dollar AI infrastructure platform.
As Lambda continues to scale GPU cloud services, enterprise contracts, and capital-intensive data center infrastructure, this role will ensure accounting excellence and operational rigor built to support long-term strategic ambitions. The Controller will bring strong judgment, deep operational expertise, and the ability to build systems, processes, and teams that operate at public-company standards.
This is a hands-on leadership opportunity for someone excited to build, elevate, and modernize a high-performing accounting organization in a dynamic, fast-scaling environment.
What You’ll Do
Lead all aspects of accounting operations, including general ledger, revenue recognition, fixed assets, and lease accounting.
Oversee a timely and accurate monthly, quarterly, and annual close process across multiple entities and product lines
Lead the evolution of systems, automation, AI, and ERP optimization to improve accounting’s accuracy, efficiency, and scalability
Design, implement, and continuously strengthen internal controls and accounting policies to support SOX compliance and long-term reporting scalability
Partner closely with Legal, FP&A, Operations, Supply Chain, Treasury, and other cross-functional leaders to ensure accounting implications are thoughtfully considered in strategic decisions
Establish and manage relationships with external auditors and help oversee annual audits and quarterly reviews
Build, mentor, and develop a high-performing accounting team with a culture of accountability, operational excellence, and continuous improvement
Serve as a strategic thought partner to the Chief Accounting Officer and executive leadership on accounting matters
Also serve as a partner to the Head of Technical Accounting and Financial Reporting, and the Head of Tax, both of whom also report to the Chief Accounting Officer.
You
15+ years of progressive accounting experience, including public accounting and senior leadership in a high-growth technology company
Experience operating in or preparing an organization for public-company standards
Deep technical expertise in US GAAP, including revenue recognition, fixed assets, leases, and complex commercial arrangements
Strong knowledge of internal controls and SOX compliance
Proven ability to build and scale accounting teams in fast-moving environments
CPA required; Big 4 background strongly preferred
Strong executive presence and ability to communicate complex accounting topics clearly to cross-functional leaders
Nice to Have
Experience in AI infrastructure, cloud computing, hardware, or other capital-intensive environments
Experience with multi-entity and international operations
ERP implementation or post-implementation optimization experience (NetSuite preferred)
Experience partnering closely with Treasury and Capital Markets functions
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in both our San Francisco and San Jose office locations, for a combined 4 days per week.\n\nLambda is seeking an experienced Controller to lead and scale our accounting organization during a pivotal stage of growth. Reporting to the Chief Accounting Officer, this role will play a critical leadership position in building a best-in-class controllership function to support a rapidly expanding, multi-billion-dollar AI infrastructure platform.\n\nAs Lambda continues to scale GPU cloud services, enterprise contracts, and capital-intensive data center infrastructure, this role will ensure accounting excellence and operational rigor built to support long-term strategic ambitions. The Controller will bring strong judgment, deep operational expertise, and the ability to build systems, processes, and teams that operate at public-company standards.\n\nThis is a hands-on leadership opportunity for someone excited to build, elevate, and modernize a high-performing accounting organization in a dynamic, fast-scaling environment.\n\nWhat You’ll Do\n\n - Lead all aspects of accounting operations, including general ledger, revenue recognition, fixed assets, and lease accounting.\n\n - Oversee a timely and accurate monthly, quarterly, and annual close process across multiple entities and product lines\n\n - Lead the evolution of systems, automation, AI, and ERP optimization to improve accounting’s accuracy, efficiency, and scalability\n\n - Design, implement, and continuously strengthen internal controls and accounting policies to support SOX compliance and long-term reporting scalability\n\n - Partner closely with Legal, FP&A, Operations, Supply Chain, Treasury, and other cross-functional leaders to ensure accounting implications are thoughtfully considered in strategic decisions\n\n - Establish and manage relationships with external auditors and help oversee annual audits and quarterly reviews\n\n - Build, mentor, and develop a high-performing accounting team with a culture of accountability, operational excellence, and continuous improvement\n\n - Serve as a strategic thought partner to the Chief Accounting Officer and executive leadership on accounting matters\n\n - Also serve as a partner to the Head of Technical Accounting and Financial Reporting, and the Head of Tax, both of whom also report to the Chief Accounting Officer.\n\nYou\n\n - 15+ years of progressive accounting experience, including public accounting and senior leadership in a high-growth technology company\n\n - Experience operating in or preparing an organization for public-company standards\n\n - Deep technical expertise in US GAAP, including revenue recognition, fixed assets, leases, and complex commercial arrangements\n\n - Strong knowledge of internal controls and SOX compliance\n\n - Proven ability to build and scale accounting teams in fast-moving environments\n\n - CPA required; Big 4 background strongly preferred\n\n - Strong executive presence and ability to communicate complex accounting topics clearly to cross-functional leaders\n\nNice to Have\n\n - Experience in AI infrastructure, cloud computing, hardware, or other capital-intensive environments\n\n - Experience with multi-entity and international operations\n\n - ERP implementation or post-implementation optimization experience (NetSuite preferred)\n\n - Experience partnering closely with Treasury and Capital Markets functions\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$225K – $338K","scrapeableCompensationSalarySummary":"$225K - $338K","compensationTiers":[{"id":"9d90ee93-e9c2-492f-a0be-422b8d4cde66","tierSummary":"$225K – $338K","title":null,"additionalInformation":null,"components":[{"id":"14135d1f-2d0a-46d4-9602-8381d777cc03","summary":"$225K – $338K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":338000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":225000,"maxValue":338000}]}},{"id":"20bf80b6-6677-4a06-b696-672c49bee0ed","title":"Accounting Manager - Fixed Assets and Leases","department":"G&A","team":"Accounting","employmentType":"FullTime","location":"San Jose Office (First St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-04-15T20:48:22.188+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/20bf80b6-6677-4a06-b696-672c49bee0ed","applyUrl":"https://jobs.ashbyhq.com/lambda/20bf80b6-6677-4a06-b696-672c49bee0ed/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires flexible presence in both our San Francisco and San Jose offices, a total of 4 days per week; Lambda’s designated work from home day is currently Tuesday.
We are seeking an experienced Fixed Asset & Lease Accounting Manager to lead the accounting, controls, and reporting for our capital asset and lease portfolios in a highly capital-intensive infrastructure environment.
The company maintains over $1.5B in fixed assets placed into service, more than $200M in Construction in Progress (CIP), and $500M+ in operating Right-of-Use (ROU) assets related to data center leases across 15+ locations in the U.S. and internationally. The majority of our fixed assets consist of GPU compute infrastructure, along with associated racks, cabling, and supporting data center equipment.
This role will own the full lifecycle of fixed assets and leases—from capitalization policy and CIP monitoring to depreciation, lease accounting under ASC 842, asset disposals, and audit support. The ideal candidate brings strong technical accounting expertise, operational rigor, and the ability to partner cross-functionally with infrastructure, procurement, and legal teams in a rapidly scaling environment.
Key Responsibilities
Fixed Asset Accounting & Controls
Manage accounting and reporting for $1.5B+ in fixed assets including GPU infrastructure, racks, cabling, and related equipment.
Oversee asset capitalization, classification, and useful life determinations in accordance with U.S. GAAP.
Review and approve asset additions, transfers, disposals, and retirements.
Ensure accurate depreciation calculations and reconciliation of the fixed asset subledger to the general ledger.
Maintain and continuously improve capitalization policies and internal controls.
Construction in Progress (CIP) Management
Oversee accounting for $200M+ in CIP related to GPU infrastructure deployments and data center buildouts.
Track asset commissioning and ensure timely capitalization once assets are placed into service.
Partner with engineering, infrastructure, and procurement teams to validate deployment milestones and cost allocations.
Monitor CIP aging and ensure appropriate classification and capitalization timing.
Lease Accounting (ASC 842)
Manage accounting and reporting for $500M+ in Right-of-Use (ROU) assets related to data center leases across 15+ locations.
Ensure compliance with ASC 842 including lease classification, ROU asset and liability calculations, and ongoing lease reassessments.
Abstract lease agreements and identify embedded leases where applicable.
Coordinate with technical accounting for lease modifications, renewals, and terminations.
Maintain lease accounting schedules and support financial reporting disclosures.
Financial Reporting & Audit Support
Prepare fixed asset and lease accounting schedules for monthly, quarterly, and annual close.
Support internal and external audit processes by providing documentation, reconciliations, and analysis.
Assist with financial statement disclosures related to fixed assets, depreciation, and leases.
Partner with tax and finance teams on asset-related reporting requirements.
Asset Lifecycle & Operational Partnership
Collaborate with infrastructure, operations, and procurement teams to ensure accurate tracking of high-value GPU assets.
Support processes for asset tagging, inventory tracking, and periodic physical verification of assets.
Oversee asset retirement and decommissioning processes for technology equipment.
Process Improvement & Systems
Evaluate and enhance fixed asset and lease accounting systems and workflows to support rapid growth.
Drive automation and integration between ERP (NetSuite), procurement systems, and asset tracking tools.
Develop scalable processes to manage high volumes of infrastructure assets
Qualifications
Required
Bachelor’s degree in Accounting or Finance.
7+ years of accounting experience with significant exposure to fixed asset and lease accounting.
Experience managing large-scale fixed asset and lease portfolios ($2B+ preferred).
Strong understanding of U.S. GAAP fixed asset accounting and ASC 842 lease accounting.
Experience managing Construction in Progress (CIP) and capital project accounting.
Proficiency with ERP systems and fixed asset management modules.
Strong analytical, organizational, and process improvement skills.
Preferred
CPA with public accounting experience.
Experience in data center, cloud infrastructure, technology hardware, telecom, or other capital-intensive industries.
Experience accounting for technology infrastructure assets such as servers, GPUs, or networking equipment.
Experience with global operations and multi-location lease portfolios.
Experience implementing or optimizing fixed asset or lease accounting systems.
Forward-thinker in embracing and implementing AI tools as part of foundational accounting processes.
Key Competencies
Technical accounting expertise (fixed assets and leases)
Strong internal controls mindset
Ability to manage complex, high-value asset portfolios
Cross-functional collaboration with operational teams
Detail-oriented with strong analytical capability
Ability to operate effectively in a fast-growing environment
Forward-thinker in embracing and implementing AI tools as part of foundation accounting processes.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires flexible presence in both our San Francisco and San Jose offices, a total of 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nWe are seeking an experienced Fixed Asset & Lease Accounting Manager to lead the accounting, controls, and reporting for our capital asset and lease portfolios in a highly capital-intensive infrastructure environment.\n\nThe company maintains over $1.5B in fixed assets placed into service, more than $200M in Construction in Progress (CIP), and $500M+ in operating Right-of-Use (ROU) assets related to data center leases across 15+ locations in the U.S. and internationally. The majority of our fixed assets consist of GPU compute infrastructure, along with associated racks, cabling, and supporting data center equipment.\n\nThis role will own the full lifecycle of fixed assets and leases—from capitalization policy and CIP monitoring to depreciation, lease accounting under ASC 842, asset disposals, and audit support. The ideal candidate brings strong technical accounting expertise, operational rigor, and the ability to partner cross-functionally with infrastructure, procurement, and legal teams in a rapidly scaling environment.\n\nKey Responsibilities\n\n - Fixed Asset Accounting & Controls\n \n - Manage accounting and reporting for $1.5B+ in fixed assets including GPU infrastructure, racks, cabling, and related equipment.\n \n - Oversee asset capitalization, classification, and useful life determinations in accordance with U.S. GAAP.\n \n - Review and approve asset additions, transfers, disposals, and retirements.\n \n - Ensure accurate depreciation calculations and reconciliation of the fixed asset subledger to the general ledger.\n \n - Maintain and continuously improve capitalization policies and internal controls.\n\n - Construction in Progress (CIP) Management\n \n - Oversee accounting for $200M+ in CIP related to GPU infrastructure deployments and data center buildouts.\n \n - Track asset commissioning and ensure timely capitalization once assets are placed into service.\n \n - Partner with engineering, infrastructure, and procurement teams to validate deployment milestones and cost allocations.\n \n - Monitor CIP aging and ensure appropriate classification and capitalization timing.\n\n - Lease Accounting (ASC 842)\n \n - Manage accounting and reporting for $500M+ in Right-of-Use (ROU) assets related to data center leases across 15+ locations.\n \n - Ensure compliance with ASC 842 including lease classification, ROU asset and liability calculations, and ongoing lease reassessments.\n \n - Abstract lease agreements and identify embedded leases where applicable.\n \n - Coordinate with technical accounting for lease modifications, renewals, and terminations.\n \n - Maintain lease accounting schedules and support financial reporting disclosures.\n\n - Financial Reporting & Audit Support\n \n - Prepare fixed asset and lease accounting schedules for monthly, quarterly, and annual close.\n \n - Support internal and external audit processes by providing documentation, reconciliations, and analysis.\n \n - Assist with financial statement disclosures related to fixed assets, depreciation, and leases.\n \n - Partner with tax and finance teams on asset-related reporting requirements.\n\n - Asset Lifecycle & Operational Partnership\n \n - Collaborate with infrastructure, operations, and procurement teams to ensure accurate tracking of high-value GPU assets.\n \n - Support processes for asset tagging, inventory tracking, and periodic physical verification of assets.\n \n - Oversee asset retirement and decommissioning processes for technology equipment.\n\n - Process Improvement & Systems\n \n - Evaluate and enhance fixed asset and lease accounting systems and workflows to support rapid growth.\n \n - Drive automation and integration between ERP (NetSuite), procurement systems, and asset tracking tools.\n \n - Develop scalable processes to manage high volumes of infrastructure assets\n\nQualifications\n\n - Required\n \n - Bachelor’s degree in Accounting or Finance.\n \n - 7+ years of accounting experience with significant exposure to fixed asset and lease accounting.\n \n - Experience managing large-scale fixed asset and lease portfolios ($2B+ preferred).\n \n - Strong understanding of U.S. GAAP fixed asset accounting and ASC 842 lease accounting.\n \n - Experience managing Construction in Progress (CIP) and capital project accounting.\n \n - Proficiency with ERP systems and fixed asset management modules.\n \n - Strong analytical, organizational, and process improvement skills.\n\n - Preferred\n \n - CPA with public accounting experience.\n \n - Experience in data center, cloud infrastructure, technology hardware, telecom, or other capital-intensive industries.\n \n - Experience accounting for technology infrastructure assets such as servers, GPUs, or networking equipment.\n \n - Experience with global operations and multi-location lease portfolios.\n \n - Experience implementing or optimizing fixed asset or lease accounting systems.\n \n - Forward-thinker in embracing and implementing AI tools as part of foundational accounting processes.\n\nKey Competencies\n\n - Technical accounting expertise (fixed assets and leases)\n\n - Strong internal controls mindset\n\n - Ability to manage complex, high-value asset portfolios\n\n - Cross-functional collaboration with operational teams\n\n - Detail-oriented with strong analytical capability\n\n - Ability to operate effectively in a fast-growing environment\n\n - Forward-thinker in embracing and implementing AI tools as part of foundation accounting processes.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$165K – $248K","scrapeableCompensationSalarySummary":"$165K - $248K","compensationTiers":[{"id":"88a209d6-a7d2-4d82-9bc0-295bad437b5b","tierSummary":"$165K – $248K","title":null,"additionalInformation":null,"components":[{"id":"d332d7c4-acaa-4d36-916c-baff3f72185d","summary":"$165K – $248K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":248000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":165000,"maxValue":248000}]}},{"id":"f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa","title":"Data Center Operations Systems Engineer (Quebec City, Canada)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Québec City, QC - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-13T21:11:03.984+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Quebec","addressCountry":"Canada","addressLocality":"Québec City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa","applyUrl":"https://jobs.ashbyhq.com/lambda/f7cbc44b-ffd4-4ab2-8033-3e2cb3a20afa/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Quebec City, Canada Data Center 5 days; shift work
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured
Troubleshoot hardware and software issues in some of the world’s most advanced systems
Document data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Are someone who pays attention to detail and has the ability to follow instructions
Are action-oriented and have a strong willingness to learn
Are willing to travel for bring up of new data center locations
Nice to Have
Experience with troubleshooting server hardware
Experience with/or knowledge of network topology
Familiarity with ticketing systems like JIRA and Zendesk
Experience with Linux administration
Experience with working in large-scale distributed data center environments
Experience with Supermicro & Nvidia hardware
Salary Range Information
This is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Quebec City, Canada Data Center 5 days; shift work\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced systems\n\n - Document data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Work closely with HW Support team to ensure data center infrastructure-related support tickets are resolved\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Are familiar with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Are someone who pays attention to detail and has the ability to follow instructions\n\n - Are action-oriented and have a strong willingness to learn\n\n - Are willing to travel for bring up of new data center locations\n\nNice to Have\n\n - Experience with troubleshooting server hardware\n\n - Experience with/or knowledge of network topology\n\n - Familiarity with ticketing systems like JIRA and Zendesk\n\n - Experience with Linux administration\n\n - Experience with working in large-scale distributed data center environments\n\n - Experience with Supermicro & Nvidia hardware\n\nSalary Range Information\n\nThis is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"CA$66,250 – CA$102,700","scrapeableCompensationSalarySummary":"CA$66,250 - CA$102,700","compensationTiers":[{"id":"b3f27957-c356-4666-9778-4cc537b5187f","tierSummary":"CA$66,250 – CA$102,700","title":null,"additionalInformation":null,"components":[{"id":"52d06712-1039-4f97-9f45-3cca504713ea","summary":"CA$66,250 – CA$102,700","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":66250,"maxValue":102700}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":66250,"maxValue":102700}]}},{"id":"7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","title":"Senior Data Center Operations Systems Engineer (Quebec City, Canada)","department":"Data Center Business","team":"Data Center Operations","employmentType":"FullTime","location":"Québec City, QC - Data Center","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-14T14:21:34.853+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"Quebec","addressCountry":"Canada","addressLocality":"Québec City"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65","applyUrl":"https://jobs.ashbyhq.com/lambda/7c1d9573-d7ac-4b4e-abad-df4b5c61fa65/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.
What You'll Do
Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.
Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.
Document and update data center layout and network topology in DCIM software
Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments
Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers
Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.
Work with RMA team to ensure faulty parts are returned and replacements are ordered
Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers
You
Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting
Basic knowledge of cable optics and the different types of use
Solid understanding of single and three phase power theories
PDU balancing and why it is important
Familiar with multiple cable media types and their uses
Knowledge of cold isle and hot isle containment
Solid understanding of server hardware and boot process
Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.
Working with product management, support, and other teams to align operational capabilities with company goals.
Translating business priorities into technical and operational requirements.
Supporting cross-functional projects where infrastructure plays a critical role.
Are action-oriented and willingness to train junior staff on best practices
Are willing to travel for bring up of new data center locations as needed
Nice to Have
Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management
Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.
Experience with/or knowledge of DDP or SCM cluster storage systems.
Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk
Advanced experience with Linux administration
Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72
Salary Range Information
This is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our Quebec City, Canada Data Center 5 days per week; shift work.\n\nWhat You'll Do\n\n - Ensure new server, storage and network infrastructure is properly racked, labeled, cabled, and configured.\n\n - Troubleshoot hardware and software issues in some of the world’s most advanced GPU and Networking systems.\n\n - Document and update data center layout and network topology in DCIM software\n\n - Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments\n\n - Manage a parts depot inventory and track equipment through the delivery-store-stage-deploy-handoff process in each of our data centers\n\n - Partner with HW Support teams to ensure data center hardware incidents with higher level troubleshooting challenges are resolved, reported on and solutions are disseminated to the large operations organization.\n\n - Work with RMA team to ensure faulty parts are returned and replacements are ordered\n\n - Follow installation standards and documentation for placement, labeling, and cabling to drive consistency and discoverability across all data centers\n\nYou\n\n - Have strong past experiences with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Be familiar with carrier DIA circuit test and turn ups, fiber testing and troubleshooting\n\n - Basic knowledge of cable optics and the different types of use\n\n - Solid understanding of single and three phase power theories\n\n - PDU balancing and why it is important\n\n - Familiar with multiple cable media types and their uses\n\n - Knowledge of cold isle and hot isle containment\n\n - Solid understanding of server hardware and boot process\n\n - Ability to structure, collaborate and iteratively improve on complex maintenance MOPs.\n\n - Working with product management, support, and other teams to align operational capabilities with company goals.\n\n - Translating business priorities into technical and operational requirements.\n\n - Supporting cross-functional projects where infrastructure plays a critical role.\n\n - Are action-oriented and willingness to train junior staff on best practices\n\n - Are willing to travel for bring up of new data center locations as needed\n\nNice to Have\n\n - Have 3+ years experience with critical infrastructure systems supporting data centers, such as power distribution, air flow management, environmental monitoring, capacity planning, DCIM software, structured cabling, and cable management\n\n - Experience with/or knowledge of network topology and configurations and 400gb Infiniband architectures.\n\n - Experience with/or knowledge of DDP or SCM cluster storage systems.\n\n - Have 3+ years working with and reporting from a ticketing systems like JIRA and Zendesk\n\n - Advanced experience with Linux administration\n\n - Experience with High Performance Compute GPU systems (air or water cooled) - especially Nvidia NVL72\n\nSalary Range Information\n\nThis is a salaried role, eligible for overtime. The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"CA$83.2K – CA$124.8K","scrapeableCompensationSalarySummary":"CA$83.2K - CA$124.8K","compensationTiers":[{"id":"94c6a087-e876-4bc4-8e1a-9d6f3bd5fe25","tierSummary":"CA$83.2K – CA$124.8K","title":null,"additionalInformation":null,"components":[{"id":"a20e6599-6aad-4ec2-914f-bb62fa615489","summary":"CA$83.2K – CA$124.8K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":83200,"maxValue":124800}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"CAD","minValue":83200,"maxValue":124800}]}},{"id":"6f938d2d-0b79-4ca4-b28d-e4e84f5679be","title":"Executive Recruiter","department":"G&A","team":"Talent Acquisition","employmentType":"FullTime","location":"San Francisco Office (Second St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-04-16T21:03:01.900+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/6f938d2d-0b79-4ca4-b28d-e4e84f5679be","applyUrl":"https://jobs.ashbyhq.com/lambda/6f938d2d-0b79-4ca4-b28d-e4e84f5679be/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
The People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.
Reporting to our Head of Talent, we're looking for a seasoned Executive Recruiter who thrives in fast-paced, high-growth environments and has a proven track record of attracting world-class executive talent to technology companies. You will be instrumental in building our leadership team as we scale from startup to market leader.
We're looking for someone who shares our passion for innovation and wants to play a pivotal role in assembling the leadership team that will drive our next phase of growth. This is a great opportunity to help shape the leadership team of a category-defining technology company
What You’ll Do
Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions
Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance
Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles
Leverage extensive candidate networks within the cloud computing and AI industries
Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking
Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies
Ensure exceptional candidate experience that reflects our company values and competitive positioning
Develop compelling value propositions for executive candidates considering startup opportunities
You
10+ years of executive search experience, with at least 4 years focused on technology sector roles
Proven track record of successfully placing C-suite and VP-level executives at high-growth technology companies
Deep understanding of semiconductor, GPU, AI/ML, or related hardware/software technology markets
Extensive network of relationships with executive talent in relevant industries
Experience working with venture-backed startups and understanding of startup dynamics
Bachelor's degree required; advanced degree preferred
Nice to Have
Previous experience at top-tier executive search firms (Russell Reynolds, Korn Ferry, Heidrick & Struggles, etc.)
In-house recruiting experience at high-growth technology companies
Familiarity with cloud computing, AI infrastructure, or related technologies
Experience recruiting for companies that have scaled through rapid growth phases (Series A through IPO)
Established relationships with technology executives, particularly in Silicon Valley and other major tech hubs
Track record of recruiting diverse executive talent and building inclusive leadership teams
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\n\nThe People Team at Lambda is building the kind of company we all want to work for. We move fast, cut through noise, and care deeply—about clarity, fairness, growth, and getting the details right. From hiring to offboarding (and everything in between), we make sure every Lambda has the support, tools, and structure to thrive. Our scope includes recruiting, rewards, L&D, employee relations, communications, and culture—all the things that shape a great place to work.\n\n\nReporting to our Head of Talent, we're looking for a seasoned Executive Recruiter who thrives in fast-paced, high-growth environments and has a proven track record of attracting world-class executive talent to technology companies. You will be instrumental in building our leadership team as we scale from startup to market leader.\n\nWe're looking for someone who shares our passion for innovation and wants to play a pivotal role in assembling the leadership team that will drive our next phase of growth. This is a great opportunity to help shape the leadership team of a category-defining technology company\n\nWhat You’ll Do\n\n - Lead end-to-end executive search processes for C-suite, VP, and senior director-level positions across all functions\n\n - Develop and execute comprehensive search strategies for critical leadership roles including Engineering, Product, Sales, Marketing, Operations, and Finance\n\n - Partner closely with founders, board members, and existing executives to define role requirements and ideal candidate profiles\n\n - Leverage extensive candidate networks within the cloud computing and AI industries\n\n - Proactively build relationships with top-tier executive talent through industry events, conferences, and strategic networking\n\n - Manage sophisticated interview processes involving multiple stakeholders and assessment methodologies\n\n - Ensure exceptional candidate experience that reflects our company values and competitive positioning\n\n - Develop compelling value propositions for executive candidates considering startup opportunities\n\nYou\n\n - 10+ years of executive search experience, with at least 4 years focused on technology sector roles\n\n - Proven track record of successfully placing C-suite and VP-level executives at high-growth technology companies\n\n - Deep understanding of semiconductor, GPU, AI/ML, or related hardware/software technology markets\n\n - Extensive network of relationships with executive talent in relevant industries\n\n - Experience working with venture-backed startups and understanding of startup dynamics\n\n - Bachelor's degree required; advanced degree preferred\n\nNice to Have\n\n - Previous experience at top-tier executive search firms (Russell Reynolds, Korn Ferry, Heidrick & Struggles, etc.)\n\n - In-house recruiting experience at high-growth technology companies\n\n - Familiarity with cloud computing, AI infrastructure, or related technologies\n\n - Experience recruiting for companies that have scaled through rapid growth phases (Series A through IPO)\n\n - Established relationships with technology executives, particularly in Silicon Valley and other major tech hubs\n\n - Track record of recruiting diverse executive talent and building inclusive leadership teams\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$210K – $300K","scrapeableCompensationSalarySummary":"$210K - $300K","compensationTiers":[{"id":"af912b25-2a00-4aae-b5fb-139e7ac3b774","tierSummary":"$210K – $300K","title":null,"additionalInformation":null,"components":[{"id":"c83025c0-b02e-4798-9ddb-ee35569c4297","summary":"$210K – $300K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":210000,"maxValue":300000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":210000,"maxValue":300000}]}},{"id":"c6274000-b650-44a2-866f-a89df7d633b7","title":"Senior Business Systems Architect","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Francisco Office (Fremont St)","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}}}],"publishedAt":"2026-04-21T23:00:52.607+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/c6274000-b650-44a2-866f-a89df7d633b7","applyUrl":"https://jobs.ashbyhq.com/lambda/c6274000-b650-44a2-866f-a89df7d633b7/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
Information Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.
About the Role
We are seeking an experienced Senior Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.
Your responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges.
Strategic Leadership: Collaborate with stakeholders across functions to develop and execute scalable system roadmaps, aligning business goals with system capabilities.
Solution Design & Implementation: Architect and deploy advanced workflows, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.
Tooling Selection & Standardization: Lead the evaluation, selection, and implementation of tools and systems across the business to ensure alignment with operational needs, scalability, and long-term goals. Establish standards for system usage and integration.
Integration & Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.
Compliance & Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.
Support & Analytics: Troubleshoot complex issues, mentor team members, and deliver actionable insights through advanced reporting and dashboards to support decision-making.
What We’re Looking For:
Experience & Certification:
10+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.
Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications
Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.
Technical Expertise:
Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.
Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations & workflow automations.
Process Automation:
Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.
Compliance & Controls:
Strong knowledge of ITGCs (IT General Controls) and SOX compliance.
Leadership & Communication:
Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.
Proven ability to present complex technical solutions in a clear and compelling manner
AI Automation & Development
Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.
Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.
Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.
Nice to Have
Proficiency in system customization tools like SuiteScript, Salesforce Flow, or equivalent.
Experience with building Internal AI apps on AWS.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
—----------------------- LAMBDA HMs: Stop editing below this line —--------------------
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity,
genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n\n*Note: This position requires presence in our San Jose or San Francisco office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.\n\nInformation Systems at Lambda is responsible for building and scaling the internal systems that power our business. We partner across the company—Finance, GTM, Engineering, and People—to implement tools, automate workflows, and ensure data flows securely and accurately. Our scope includes enterprise applications, integrations, data platform and analytics, compliance automation, and all things IT.\n\nAbout the Role\n\nWe are seeking an experienced Senior Business Systems Architect to lead and innovate across our enterprise systems landscape. This role will be pivotal in driving operational excellence through the design, implementation, and optimization of scalable business processes and systems integrations. You will collaborate with cross-functional teams to create seamless workflows across financial systems, supply chain, and customer-facing platforms while leveraging process automation tools and middleware solutions.\n\nYour responsibilities will include architecting end-to-end solutions, managing complex system integrations, and building a strategic roadmap for enterprise system enhancements. This role requires strong leadership, deep technical expertise, and a proactive approach to solving business challenges.\n\n\nWHAT YOU’LL DO\n\n - Strategic Leadership: Collaborate with stakeholders across functions to develop and execute scalable system roadmaps, aligning business goals with system capabilities.\n\n - Solution Design & Implementation: Architect and deploy advanced workflows, configurations, and modules in enterprise platforms like NetSuite, Coupa, Stripe, and Chargebee.\n\n - Tooling Selection & Standardization: Lead the evaluation, selection, and implementation of tools and systems across the business to ensure alignment with operational needs, scalability, and long-term goals. Establish standards for system usage and integration.\n\n - Integration & Automation: Manage integrations and optimize iPaaS tools (e.g., Workato, Mulesoft) to ensure seamless data flow, interoperability, and automated processes across platforms.\n\n - Compliance & Optimization: Ensure SOX compliance through robust internal controls, system audits, and governance while driving continuous system improvements.\n\n - Support & Analytics: Troubleshoot complex issues, mentor team members, and deliver actionable insights through advanced reporting and dashboards to support decision-making.\n\nWhat We’re Looking For:\n\n - Experience & Certification:\n \n - 10+ years of experience in business systems architecture or administration, including hands-on implementation of enterprise systems.\n \n - Strong understanding of Finance technology stacks, including NetSuite, Coupa, Supply Chain, Asset Management, Billing systems and related business applications\n \n - Certifications in relevant platforms (e.g., NetSuite Administrator, iPaaS) strongly preferred.\n\n - Technical Expertise:\n \n - Proficiency in languages like JavaScript/SQL/ HTML/CSS/Python.\n \n - Strong experience with middleware and low/no-code platforms (e.g., Workato, n8n, Mulesoft, Alteryx) for system integrations & workflow automations.\n\n - Process Automation:\n \n - Demonstrated success in deploying process automation tools to streamline operations and increase efficiency.\n\n - Compliance & Controls:\n \n - Strong knowledge of ITGCs (IT General Controls) and SOX compliance.\n\n - Leadership & Communication:\n \n - Excellent communication skills to effectively collaborate across all levels of leadership from technical staff to senior executives.\n \n - Proven ability to present complex technical solutions in a clear and compelling manner\n\n - AI Automation & Development\n \n - Hands-on experience leveraging AI and machine learning tools to design, build, and deploy intelligent automation solutions that enhance business processes.\n \n - Proficiency with AI-powered platforms and frameworks (e.g., OpenAI, Anthropic, LangChain, or similar) to develop custom workflows, copilots, and agentic solutions.\n \n - Proven ability to identify high-impact automation opportunities and translate them into scalable AI-driven implementations across finance and enterprise systems.\n\nNice to Have\n\n - Proficiency in system customization tools like SuiteScript, Salesforce Flow, or equivalent.\n\n - Experience with building Internal AI apps on AWS.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n—----------------------- LAMBDA HMs: Stop editing below this line —--------------------\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity,\n\ngenetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$206K – $310K","scrapeableCompensationSalarySummary":"$206K - $310K","compensationTiers":[{"id":"5b664001-b894-413e-9a0d-91baef9a097b","tierSummary":"$206K – $310K","title":null,"additionalInformation":null,"components":[{"id":"baf24817-898d-4372-9882-4e1c67ec886c","summary":"$206K – $310K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":310000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":206000,"maxValue":310000}]}},{"id":"87850bde-b68d-479f-bbcd-738538efeff8","title":"Senior Business Systems Architect - EPM","department":"Data Center Business","team":"Business Technology","employmentType":"FullTime","location":"San Francisco Office (Fremont St)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[{"location":"San Jose Office (Zanker)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}},{"location":"San Jose Office (First St)","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}}}],"publishedAt":"2026-04-21T23:01:08.063+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"postalCode":"94105","addressRegion":"California","streetAddress":"","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/87850bde-b68d-479f-bbcd-738538efeff8","applyUrl":"https://jobs.ashbyhq.com/lambda/87850bde-b68d-479f-bbcd-738538efeff8/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday
We are seeking an experienced Senior EPM Architect to own and scale our Enterprise Performance Management platform, with Pigment as the core tool. This role will be central to building out Lambda's financial planning, forecasting, and reporting capabilities as the company prepares for and operates as a public company. You will partner closely with FP&A, Accounting, and Business Technology to design and deliver planning models, reporting frameworks, and cross-functional workflows that give leadership real-time visibility into business performance.
Your responsibilities will include architecting Pigment's data model and integration layer, building and maintaining planning and forecasting models, and establishing governance and change management standards for the platform. This role requires deep EPM domain expertise, strong technical chops in Pigment, and the ability to translate finance team needs into scalable, auditable solutions.
What You’ll Do
Platform Ownership: Own the end-to-end design, build, and administration of Pigment, including data models, security, user access, and environment management.
Planning & Forecasting Models: Architect and maintain revenue, headcount, OpEx, and cash flow planning models in close partnership with FP&A and Accounting leadership.
Integration & Data Architecture: Design and manage integrations between Pigment and upstream/downstream systems (NetSuite, BigQuery, Workato, HRIS) to ensure accurate, timely data flow for planning and actuals.
Reporting & Analytics: Build executive dashboards, variance analysis, and scenario modeling capabilities that support board-level and investor-grade reporting.
SOX & Compliance: Establish and enforce controls around model changes, data access, and audit trails to support SOX and IPO readiness requirements.
Stakeholder Enablement: Train and support end users across Finance, drive adoption, and build documentation and governance standards for model changes and release management.
Roadmap & Strategy: Develop and maintain a multi-quarter platform roadmap aligned with Lambda's planning maturity goals, partnering with Business Technology and Finance leadership to prioritize enhancements.
You
Experience: 8+ years in EPM/FP&A systems, with at least 2+ years of hands-on Pigment implementation and administration experience. Prior experience at a high-growth or pre-IPO/public company strongly preferred.
Technical Expertise: Deep proficiency in Pigment's data modeling, formula engine, integration framework, and security model. Working knowledge of SQL, and familiarity with data pipelines (e.g., BigQuery, dbt, Fivetran, Workato).
Finance Domain Knowledge: Strong understanding of FP&A processes including budgeting, forecasting, revenue planning, headcount modeling, and management reporting. Comfortable speaking the language of Finance and Accounting stakeholders.
Compliance & Controls: Practical knowledge of SOX requirements as they apply to financial planning systems, including change management, access controls, and documentation.
Communication & Leadership: Ability to work directly with senior Finance leadership and translate ambiguous requirements into structured, scalable solutions. Comfortable presenting to executives and managing competing priorities independently.
AI Automation & Development: Hands-on experience leveraging AI/ML tools to enhance financial planning and forecasting workflows, whether through native EPM platform capabilities, custom-built solutions, or third-party AI integrations.
Nice to Have
Prior experience with Pigment's API and programmatic integrations.
Experience building internal AI-powered apps or prototypes (e.g., on AWS, Vercel, or similar) that augment financial planning or reporting processes.
Hands-on familiarity with NetSuite, BigQuery, or Workato.
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda’s designated work from home day is currently Tuesday\n\nWe are seeking an experienced Senior EPM Architect to own and scale our Enterprise Performance Management platform, with Pigment as the core tool. This role will be central to building out Lambda's financial planning, forecasting, and reporting capabilities as the company prepares for and operates as a public company. You will partner closely with FP&A, Accounting, and Business Technology to design and deliver planning models, reporting frameworks, and cross-functional workflows that give leadership real-time visibility into business performance.\n\nYour responsibilities will include architecting Pigment's data model and integration layer, building and maintaining planning and forecasting models, and establishing governance and change management standards for the platform. This role requires deep EPM domain expertise, strong technical chops in Pigment, and the ability to translate finance team needs into scalable, auditable solutions.\n\nWhat You’ll Do\n\n - Platform Ownership: Own the end-to-end design, build, and administration of Pigment, including data models, security, user access, and environment management.\n\n - Planning & Forecasting Models: Architect and maintain revenue, headcount, OpEx, and cash flow planning models in close partnership with FP&A and Accounting leadership.\n\n - Integration & Data Architecture: Design and manage integrations between Pigment and upstream/downstream systems (NetSuite, BigQuery, Workato, HRIS) to ensure accurate, timely data flow for planning and actuals.\n\n - Reporting & Analytics: Build executive dashboards, variance analysis, and scenario modeling capabilities that support board-level and investor-grade reporting.\n\n - SOX & Compliance: Establish and enforce controls around model changes, data access, and audit trails to support SOX and IPO readiness requirements.\n\n - Stakeholder Enablement: Train and support end users across Finance, drive adoption, and build documentation and governance standards for model changes and release management.\n\n - Roadmap & Strategy: Develop and maintain a multi-quarter platform roadmap aligned with Lambda's planning maturity goals, partnering with Business Technology and Finance leadership to prioritize enhancements.\n\nYou\n\n - Experience: 8+ years in EPM/FP&A systems, with at least 2+ years of hands-on Pigment implementation and administration experience. Prior experience at a high-growth or pre-IPO/public company strongly preferred.\n\n - Technical Expertise: Deep proficiency in Pigment's data modeling, formula engine, integration framework, and security model. Working knowledge of SQL, and familiarity with data pipelines (e.g., BigQuery, dbt, Fivetran, Workato).\n\n - Finance Domain Knowledge: Strong understanding of FP&A processes including budgeting, forecasting, revenue planning, headcount modeling, and management reporting. Comfortable speaking the language of Finance and Accounting stakeholders.\n\n - Compliance & Controls: Practical knowledge of SOX requirements as they apply to financial planning systems, including change management, access controls, and documentation.\n\n - Communication & Leadership: Ability to work directly with senior Finance leadership and translate ambiguous requirements into structured, scalable solutions. Comfortable presenting to executives and managing competing priorities independently.\n\n - AI Automation & Development: Hands-on experience leveraging AI/ML tools to enhance financial planning and forecasting workflows, whether through native EPM platform capabilities, custom-built solutions, or third-party AI integrations.\n\nNice to Have\n\n - Prior experience with Pigment's API and programmatic integrations.\n\n - Experience building internal AI-powered apps or prototypes (e.g., on AWS, Vercel, or similar) that augment financial planning or reporting processes.\n\n - Hands-on familiarity with NetSuite, BigQuery, or Workato.\n\nSalary Range Information\n\nThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$241K – $310K","scrapeableCompensationSalarySummary":"$241K - $310K","compensationTiers":[{"id":"f59d483f-a27d-41e9-aa44-579ad9c11f93","tierSummary":"$241K – $310K","title":null,"additionalInformation":null,"components":[{"id":"b98d1142-aada-4de6-b7bb-51e69da8bbb1","summary":"$241K – $310K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":241000,"maxValue":310000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":241000,"maxValue":310000}]}},{"id":"8b423e61-73a0-4838-a64c-ce655a9b6f14","title":"Warehouse Associate","department":"Data Center Business","team":"RMA / Logistics","employmentType":"FullTime","location":"San Jose Office (Zanker)","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-04-22T23:53:40.096+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"postalCode":"95131","addressRegion":"California","addressCountry":"United States","addressLocality":"San Jose"}},"jobUrl":"https://jobs.ashbyhq.com/lambda/8b423e61-73a0-4838-a64c-ce655a9b6f14","applyUrl":"https://jobs.ashbyhq.com/lambda/8b423e61-73a0-4838-a64c-ce655a9b6f14/application","descriptionHtml":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.
If you'd like to build the world's best AI cloud, join us.
*Note: This position requires presence in our San Jose office location 5 days per week.
We are looking for a detail-oriented and dependable Warehouse Associate 3 to join our Warehouse team and support the day-to-day execution of warehouse operations. This role is critical to ensuring timely and accurate material movement, inventory handling, and process adherence across our facility. This job entails becoming a SME in all warehouse processes and being able to take on special projects onsite and other outside warehouse operations. You’ll work closely with the Warehouse Manager and collaborate with cross-functional teams including Accounting, Materials, and Logistics.
What You’ll Do
Under limited supervision, applies considerable warehouse knowledge to perform a broad range of tasks which include but are not limited to cycle counting, receiving, put-away, picking/packing, and preparing shipments materials for outbound deployments, and external/internal transfers
Handle material movement across designated areas in line with process standards
Understand full flow of the materials within warehouse locations.
Participate in physical inventories, and reconciliation of activities in coordination with Inventory Control Specialists.
Ensure accurate transactions within the ERP system (NetSuite or equivalent)
Follow established SOPs and escalate issues when necessary
Adhering to all workplace safety policies, reporting safety hazards, and following company regulations.
Collaborate with the team to continuously improve warehouse processes and efficiency
Support documentation, labeling, and compliance requirements for high-value inventory
Ensure the business unit is always audit ready.
Assist with training new personnel or cross-train existing personnel on all required warehouse processes.
May be required to perform other duties as assigned.
You
3+ years of experience in warehouse or logistics operations preferred.
Experience in warehouse, logistics, and materials handling.
Familiarity with inventory management systems and ERP software (NetSuite a plus).
Basic knowledge of Microsoft Office Suite (Excel, Word).
Ability to lift up to 50 lbs and operate warehouse equipment (e.g., pallet jacks, forklifts).
Excellent organizational and time management skills.
Strong communication and problem-solving aptitude.
Strong attention to detail and commitment to accuracy.
Good communication skills and ability to work collaboratively in a fast-paced. environment
Salary Range Information
This is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
","descriptionPlain":"Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU.\n\nIf you'd like to build the world's best AI cloud, join us.\n\n*Note: This position requires presence in our San Jose office location 5 days per week.\n\n\nWe are looking for a detail-oriented and dependable Warehouse Associate 3 to join our Warehouse team and support the day-to-day execution of warehouse operations. This role is critical to ensuring timely and accurate material movement, inventory handling, and process adherence across our facility. This job entails becoming a SME in all warehouse processes and being able to take on special projects onsite and other outside warehouse operations. You’ll work closely with the Warehouse Manager and collaborate with cross-functional teams including Accounting, Materials, and Logistics.\n\nWhat You’ll Do\n\n - Under limited supervision, applies considerable warehouse knowledge to perform a broad range of tasks which include but are not limited to cycle counting, receiving, put-away, picking/packing, and preparing shipments materials for outbound deployments, and external/internal transfers\n\n - Handle material movement across designated areas in line with process standards\n\n - Understand full flow of the materials within warehouse locations.\n\n - Participate in physical inventories, and reconciliation of activities in coordination with Inventory Control Specialists.\n\n - Ensure accurate transactions within the ERP system (NetSuite or equivalent)\n\n - Follow established SOPs and escalate issues when necessary\n\n - Adhering to all workplace safety policies, reporting safety hazards, and following company regulations.\n\n - Collaborate with the team to continuously improve warehouse processes and efficiency\n\n - Support documentation, labeling, and compliance requirements for high-value inventory\n\n - Ensure the business unit is always audit ready.\n\n - Assist with training new personnel or cross-train existing personnel on all required warehouse processes.\n\n - May be required to perform other duties as assigned.\n\nYou\n\n - 3+ years of experience in warehouse or logistics operations preferred.\n\n - Experience in warehouse, logistics, and materials handling.\n\n - Familiarity with inventory management systems and ERP software (NetSuite a plus).\n\n - Basic knowledge of Microsoft Office Suite (Excel, Word).\n\n - Ability to lift up to 50 lbs and operate warehouse equipment (e.g., pallet jacks, forklifts).\n\n - Excellent organizational and time management skills.\n\n - Strong communication and problem-solving aptitude.\n\n - Strong attention to detail and commitment to accuracy.\n\n - Good communication skills and ability to work collaboratively in a fast-paced. environment\n\nSalary Range Information\n\nThis is an hourly role, eligible for overtime. The hourly rate for this position has been set based on market data and other factors. However, a hourly rate higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.\n\n\nAbout Lambda\n\n - Founded in 2012, with 500+ employees, and growing fast\n\n - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove\n\n - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG\n\n - Our values are publicly available: https://lambda.ai/careers\n\n - We offer generous cash & equity compensation\n\n - Health, dental, and vision coverage for you and your dependents\n\n - Wellness and commuter stipends for select roles\n\n - 401k Plan with 2% company match (USA employees)\n\n - Flexible paid time off plan that we all actually use\n\nA Final Note:\n\nYou do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.\n\nEqual Opportunity Employer\n\nLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.","compensation":{"compensationTierSummary":"$25 – $35 per hour","scrapeableCompensationSalarySummary":null,"compensationTiers":[{"id":"09d0b164-117e-4286-95dd-db0ecddca7c4","tierSummary":"$25 – $35 per hour","title":null,"additionalInformation":null,"components":[{"id":"993d2de7-5e00-44a3-b802-afaf6225b5a3","summary":"$25 – $35 per hour","compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 HOUR","currencyCode":"USD","minValue":25,"maxValue":35}]}}],"apiVersion":"1"}