Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
As an Enterprise Account Executive, you will be at the forefront of bringing our AI agents to the banks and fintechs that are fighting financial crime on a global scale. In a landscape transformed by regulatory shifts and AI advancements, you will own the full sales cycle for our largest and most strategic accounts, working closely with key decision-makers in compliance, engineering, and risk.
This is a core sales role on our GTM team, where you will be a key part of a small and growing team. You will work directly with our founding executives to shape our go-to-market strategy, land new logos, and drive expansion within major financial institutions.
Engage executive stakeholders and multithread across large financial institutions to navigate complex sales cycles and move deals forward.
Deliver compelling demos and presentations that clearly articulate the value of our AI agents to compliance and risk leaders.
Lead pricing and contract negotiations in highly regulated environments.
Collaborate with internal teams to design tailored solutions and share insights from the field to inform our go-to-market strategy.
Build and manage a robust pipeline through a combination of outbound prospecting and relationship building.
5+ years of success in B2B Enterprise sales with a proven track record of exceeding quota.
Experience selling technical products to the financial services industry, preferably in compliance, risk, or security.
A strong grasp of complex sales cycles with average deal sizes ranging from six figures to $1M+.
Confidence and presence when selling to technical stakeholders, including VP and C-level executives in compliance, engineering, and risk.
A true closer’s mindset: persistent, strategic, consultative, and always driving for the next step.
A self-starter with a builder mentality and the ability to operate independently within a lean, agile team.
Previous experience at a startup or on a founding sales team.
A background in financial services or fintech sales.
Experience selling into compliance, risk, or regulatory functions.
A track record of success at high-growth B2B software companies.
High-Impact Sales: You thrive at the intersection of consultative sales and customer impact, solving real business problems.
Strategic Contribution: Your sales contributions will have a direct, measurable impact on how financial institutions adopt AI to combat crime.
Build and Shape: You are excited by the opportunity to be a foundational member of a growing sales team and influence GTM strategy.
Uncapped Potential: You will have a competitive OTE with uncapped commission and meaningful equity in a high-growth company.
Competitive OTE (base + uncapped commission) & equity
Comprehensive healthcare, 401k matching, commuter benefits
Flexible time off, unlimited sick days, and paid holidays
Flexible leave options
Working late? We’ve got you covered with DoorDash and an Uber home
Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
As a Solutions Engineer, you will be the technical bridge between our Account Executives and our prospective customers, playing a critical role in how they understand, adopt, and succeed with our AI agents. This is a highly cross-functional role where you will combine your technical credibility with your sales acumen to demonstrate value, build trust, and accelerate deals.
You will be the technical voice of the customer, translating their needs into solutions and providing invaluable feedback to our product and engineering teams. You will get to show prospects how cutting-edge AI can transform their compliance operations, presenting to both CTOs and Chief Compliance Officers.
Partner with Account Executives to scope and deliver compelling, customized demos that are tailored to the specific business needs of our prospects.
Develop proof-of-concepts and prototypes that showcase how our AI agents can solve our customers’ most pressing problems.
Present our technical solutions to both business and technical stakeholders in a clear and persuasive manner.
Confidently handle technical objections, including questions about integration, compliance, and performance.
Collaborate with our Product and Engineering teams to provide feedback from the field and influence our product roadmap.
Contribute to our sales enablement materials, demo environments, and best practices to help scale the impact of our solutions engineering team.
A strong technical background in software engineering, solution architecture, or technical consulting.
Excellent communication and presentation skills, with the ability to translate complex AI concepts into tangible business value.
Comfortable building quick prototypes and debugging code in real-time.
A consultative, customer-first mindset with a passion for creative problem-solving.
Experience in fintech, compliance, or with AI products.
A background in a customer-facing technical role.
Bridge the Gap: You love being the technical expert in the room and enjoy the customer-facing side of technology.
High-Impact Role: You will blend deep technical knowledge with business strategy to help close deals and drive revenue.
Shape the Product: You will be the voice of the customer, providing critical feedback that influences our product roadmap.
Solve a Critical Problem: You will be at the forefront of helping financial institutions use AI to fight financial crime.
Competitive salary + equity + commission
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Working late? We’ve got you covered with DoorDash and an Uber home
Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.
","descriptionPlain":"ABOUT BRETTON AI\n\nBretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.\n\nWe’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.\n\n\n\n\nTHE ROLE\n\nAs a Solutions Engineer, you will be the technical bridge between our Account Executives and our prospective customers, playing a critical role in how they understand, adopt, and succeed with our AI agents. This is a highly cross-functional role where you will combine your technical credibility with your sales acumen to demonstrate value, build trust, and accelerate deals.\n\nYou will be the technical voice of the customer, translating their needs into solutions and providing invaluable feedback to our product and engineering teams. You will get to show prospects how cutting-edge AI can transform their compliance operations, presenting to both CTOs and Chief Compliance Officers.\n\n\n\n\nWHAT YOU’LL DO\n\n - Partner with Account Executives to scope and deliver compelling, customized demos that are tailored to the specific business needs of our prospects.\n\n - Develop proof-of-concepts and prototypes that showcase how our AI agents can solve our customers’ most pressing problems.\n\n - Present our technical solutions to both business and technical stakeholders in a clear and persuasive manner.\n\n - Confidently handle technical objections, including questions about integration, compliance, and performance.\n\n - Collaborate with our Product and Engineering teams to provide feedback from the field and influence our product roadmap.\n\n - Contribute to our sales enablement materials, demo environments, and best practices to help scale the impact of our solutions engineering team.\n \n \n\n\nWHAT WE’RE LOOKING FOR\n\n\n\n\nMUST-HAVES:\n\n - A strong technical background in software engineering, solution architecture, or technical consulting.\n\n - Excellent communication and presentation skills, with the ability to translate complex AI concepts into tangible business value.\n\n - Comfortable building quick prototypes and debugging code in real-time.\n\n - A consultative, customer-first mindset with a passion for creative problem-solving.\n\n\nBONUS POINTS:\n\n - Experience in fintech, compliance, or with AI products.\n\n - A background in a customer-facing technical role.\n\n\n\n\nWHY YOU’LL LOVE WORKING HERE\n\n - Bridge the Gap: You love being the technical expert in the room and enjoy the customer-facing side of technology.\n\n - High-Impact Role: You will blend deep technical knowledge with business strategy to help close deals and drive revenue.\n\n - Shape the Product: You will be the voice of the customer, providing critical feedback that influences our product roadmap.\n\n - Solve a Critical Problem: You will be at the forefront of helping financial institutions use AI to fight financial crime.\n\n\n\n\nCOMPENSATION & BENEFITS\n\n - Competitive salary + equity + commission\n\n - Comprehensive healthcare, 401k matching, commuter benefits\n\n - 15 days PTO + holidays, unlimited sick days\n\n - Flexible leave options\n\n - Working late? We’ve got you covered with DoorDash and an Uber home\n\nJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.","compensation":{"compensationTierSummary":"$130K – $170K","scrapeableCompensationSalarySummary":"$130K - $170K","compensationTiers":[{"id":"41700229-3412-44c9-a588-e5c6fd73b147","tierSummary":"$130K – $170K","title":null,"additionalInformation":null,"components":[{"id":"a097f2fb-6875-461d-9021-8dcdb3278908","summary":"$130K – $170K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":130000,"maxValue":170000}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":130000,"maxValue":170000}]}},{"id":"191496c7-6aa7-4d11-897d-7681aec0e6b9","title":"Software Engineer, Product","department":"Engineering ","team":"Engineering ","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-22T23:46:54.336+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California ","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/brettonai/191496c7-6aa7-4d11-897d-7681aec0e6b9","applyUrl":"https://jobs.ashbyhq.com/brettonai/191496c7-6aa7-4d11-897d-7681aec0e6b9/application","descriptionHtml":"Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
We’re hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You’ll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations.
This role combines deep technical work with high customer impact. You’ll build systems that process thousands of cases, save compliance teams significant time, and directly contribute to company revenue.
Develop intuitive interfaces for case management, reporting, and analytics.
Build document analysis and verification systems.
Build agentic workflows that coordinate AI tools and data services to perform research, enrichment, and verification, while keeping humans in the loop for review.
Create tools that help customers configure and customize their compliance workflows.
4+ years (Engineer) / 6+ years (Sr. Engineer) / 8+ years (Staff Engineer) of experience building production software.
Strong full-stack capabilities, including backend services, APIs, databases, and (nice-to-have) frontend development.
A track record of shipping customer-facing products where reliability is critical.
An end-to-end ownership mindset, from requirements gathering through deployment and iteration.
Clear communication skills—you can explain technical decisions to diverse audiences.
Product thinking—you understand why you’re building something, not just how.
Building workflow engines, orchestration systems, or process automation tools.
Working in regulated industries where compliance, auditability, and data integrity are critical.
Integrating AI/LLM capabilities into production applications.
Creating configuration systems, admin tools, or workflow builders for non-technical users.
Designing systems for multi-tenancy, versioning, or complex authorization models.
A strong foundation in data modeling and distributed systems.
We work with a mix of TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks. You don’t need prior experience with our exact stack, but you should be comfortable learning new technologies quickly and applying them in production.
Meaningful Work: Solve hard problems that help financial institutions fight fraud and manage risk.
Technical Complexity: Build AI agents, workflow engines, data pipelines, and sophisticated UIs.
Customer Connection: Work directly with users, see your impact, and iterate based on real feedback.
True Ownership: Ship features that matter, influence product direction, and own outcomes.
High Growth: Join during a phase where your contributions will shape the company’s future.
$168k - $213k base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Working late? We cover DoorDash and Uber home
Join us in building AI that protects the global financial system from financial crimes that fund terrorism and human trafficking.
","descriptionPlain":"ABOUT BRETTON AI\n\nBretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.\n\nWe’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.\n\n\n\n\nTHE ROLE\n\nWe’re hiring Product Engineers who excel at turning complex customer problems into elegant technical solutions. You’ll own substantial features from conception to production, working directly with customers to understand their needs, designing scalable architectures, and shipping code that measurably improves compliance operations.\n\nThis role combines deep technical work with high customer impact. You’ll build systems that process thousands of cases, save compliance teams significant time, and directly contribute to company revenue.\n\n\n\n\nWHAT YOU’LL BUILD\n\n - Develop intuitive interfaces for case management, reporting, and analytics.\n\n - Build document analysis and verification systems.\n\n - Build agentic workflows that coordinate AI tools and data services to perform research, enrichment, and verification, while keeping humans in the loop for review.\n\n - Create tools that help customers configure and customize their compliance workflows.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n\n\n\nMUST-HAVES:\n\n - 4+ years (Engineer) / 6+ years (Sr. Engineer) / 8+ years (Staff Engineer) of experience building production software.\n\n - Strong full-stack capabilities, including backend services, APIs, databases, and (nice-to-have) frontend development.\n\n - A track record of shipping customer-facing products where reliability is critical.\n\n - An end-to-end ownership mindset, from requirements gathering through deployment and iteration.\n\n - Clear communication skills—you can explain technical decisions to diverse audiences.\n\n - Product thinking—you understand why you’re building something, not just how.\n\n\n\n\nVALUED EXPERIENCE:\n\n - Building workflow engines, orchestration systems, or process automation tools.\n\n - Working in regulated industries where compliance, auditability, and data integrity are critical.\n\n - Integrating AI/LLM capabilities into production applications.\n\n - Creating configuration systems, admin tools, or workflow builders for non-technical users.\n\n - Designing systems for multi-tenancy, versioning, or complex authorization models.\n\n - A strong foundation in data modeling and distributed systems.\n\n\n\n\nTECHNICAL SKILLS:\n\nWe work with a mix of TypeScript, Python, Node.js, React, cloud infrastructure, and workflow orchestration frameworks. You don’t need prior experience with our exact stack, but you should be comfortable learning new technologies quickly and applying them in production.\n\n\n\n\nWHY YOU’LL LOVE WORKING HERE\n\n - Meaningful Work: Solve hard problems that help financial institutions fight fraud and manage risk.\n\n - Technical Complexity: Build AI agents, workflow engines, data pipelines, and sophisticated UIs.\n\n - Customer Connection: Work directly with users, see your impact, and iterate based on real feedback.\n\n - True Ownership: Ship features that matter, influence product direction, and own outcomes.\n\n - High Growth: Join during a phase where your contributions will shape the company’s future.\n\n\n\n\nCOMPENSATION & BENEFITS\n\n - $168k - $213k base salary + meaningful equity\n\n - Comprehensive healthcare, 401k matching, commuter benefits\n\n - 15 days PTO + holidays, unlimited sick days\n\n - Flexible leave options\n\n - Working late? We cover DoorDash and Uber home\n\nJoin us in building AI that protects the global financial system from financial crimes that fund terrorism and human trafficking.","compensation":{"compensationTierSummary":"$168K – $213K • Offers Equity","scrapeableCompensationSalarySummary":"$168K - $213K","compensationTiers":[{"id":"5a4d482e-0099-47ce-9904-99f2d75b6a2b","tierSummary":"$168K – $213K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"480b91ca-4a41-4c55-a7c0-cba6e062c3d9","summary":"$168K – $213K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":213000},{"id":"7cf5af3e-b96c-433c-bb08-b7e7f7b3f396","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":213000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"ddc15478-3f0e-48ff-8a97-a0cccb5f6fe1","title":"Software Engineer, Infrastructure","department":"Engineering ","team":"Engineering ","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-01-28T20:15:35.783+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California ","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/brettonai/ddc15478-3f0e-48ff-8a97-a0cccb5f6fe1","applyUrl":"https://jobs.ashbyhq.com/brettonai/ddc15478-3f0e-48ff-8a97-a0cccb5f6fe1/application","descriptionHtml":"Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
As a Senior Infrastructure Engineer, you will own the foundation that enables us to deploy secure, compliant AI systems at major financial institutions fighting financial crime at a massive scale. Our infrastructure is built on a modern, container-native architecture, leveraging Docker and Kubernetes to deliver consistent, auditable deployments across diverse customer environments.
You will work directly with our largest customers—institutions serving over a billion people—to architect, automate, and harden our on-premises and cloud environments to meet the strictest regulatory and performance requirements, including SOC 2 compliance. Your work will be informed by real customer needs and will ship to everyone, so you must build enterprise-grade systems, work effectively with engineering and customer teams, understand financial services compliance, and adapt quickly.
Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.
Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.
Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing.
Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference.
Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.
Maintain and improve the infrastructure controls that support our SOC 2 compliance posture.
Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices.
8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.
Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies.
A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.
Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).
A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks).
\"Battle scars\" from leading outages, capacity events, and large-scale incident reviews.
Strong programming skills in Python.
Familiarity with TypeScript.
Direct involvement in SOC 2 or other compliance audit preparation or remediation.
Direct experience with private-cloud or on-premises deployments for regulated customers.
Previous experience at startups scaling infrastructure from the early stages to the enterprise level.
A background in fintech or building systems for highly regulated industries.
Experience with AI/ML infrastructure and model deployment at scale.
Build for Scale: You thrive at the intersection of technical leadership and customer impact, building systems that enable rapid development while maintaining the highest standards of security, compliance, and reliability.
Infrastructure as a Product: You see infrastructure as a product for your engineering peers and understand the value of platform automation in enabling developer velocity.
High-Impact Work: Your contributions will have a direct, measurable impact on how financial institutions adopt AI to fight crime.
Mentorship and Leadership: You are comfortable balancing technical excellence with mentoring others and leading customer engagements.
$168k - $213k + equity
Comprehensive healthcare, 401k matching, commuter benefits
15 days PTO + holidays, unlimited sick days
Flexible leave options
Working late? We’ve got you covered with DoorDash and an Uber home
Join us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.
","descriptionPlain":"ABOUT BRETTON AI\n\nBretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.\n\nWe’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.\n\n\n\n\nTHE ROLE\n\nAs a Senior Infrastructure Engineer, you will own the foundation that enables us to deploy secure, compliant AI systems at major financial institutions fighting financial crime at a massive scale. Our infrastructure is built on a modern, container-native architecture, leveraging Docker and Kubernetes to deliver consistent, auditable deployments across diverse customer environments.\n\nYou will work directly with our largest customers—institutions serving over a billion people—to architect, automate, and harden our on-premises and cloud environments to meet the strictest regulatory and performance requirements, including SOC 2 compliance. Your work will be informed by real customer needs and will ship to everyone, so you must build enterprise-grade systems, work effectively with engineering and customer teams, understand financial services compliance, and adapt quickly.\n\n\n\n\nWHAT YOU’LL DO\n\n - Own and evolve our Kubernetes infrastructure, including cluster management, service mesh configuration, and container security policies.\n\n - Design and implement progressive delivery pipelines with canary deployments, automated rollbacks, and deployment health validation.\n\n - Build and maintain our observability infrastructure in Datadog, including dashboards, monitors, SLOs, and distributed tracing.\n\n - Drive incident response for high-severity outages and proactively model capacity needs for low-latency AI inference.\n\n - Architect and automate secure infrastructure using Infrastructure-as-Code for VPCs, IAM policies, Kubernetes manifests, and private cloud deployments.\n\n - Maintain and improve the infrastructure controls that support our SOC 2 compliance posture.\n\n - Lead customer engagements for enterprise rollouts and mentor mid-level engineers on infrastructure best practices.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n\n\n\nMUST-HAVES:\n\n - 8+ years in infrastructure engineering or DevOps at high-growth or hyperscale companies.\n\n - Experience with Docker and Kubernetes, including production cluster management, Helm, and service mesh technologies.\n\n - A proven track record of architecting and operating AWS (preferred), GCP, or Azure at an enterprise scale.\n\n - Experience with observability platforms, preferably Datadog (metrics, logs, APM, distributed tracing).\n\n - A strong background in Infrastructure-as-Code (Terraform, Helm, Kustomize) and safe deployment practices (progressive delivery, canary deployments, GitOps, automated rollbacks).\n\n - \"Battle scars\" from leading outages, capacity events, and large-scale incident reviews.\n\n - Strong programming skills in Python.\n\n\n\n\nBONUS POINTS:\n\n - Familiarity with TypeScript.\n\n - Direct involvement in SOC 2 or other compliance audit preparation or remediation.\n\n - Direct experience with private-cloud or on-premises deployments for regulated customers.\n\n - Previous experience at startups scaling infrastructure from the early stages to the enterprise level.\n\n - A background in fintech or building systems for highly regulated industries.\n\n - Experience with AI/ML infrastructure and model deployment at scale.\n\n\n\n\nWHY YOU’LL LOVE WORKING HERE\n\n - Build for Scale: You thrive at the intersection of technical leadership and customer impact, building systems that enable rapid development while maintaining the highest standards of security, compliance, and reliability.\n\n - Infrastructure as a Product: You see infrastructure as a product for your engineering peers and understand the value of platform automation in enabling developer velocity.\n\n - High-Impact Work: Your contributions will have a direct, measurable impact on how financial institutions adopt AI to fight crime.\n\n - Mentorship and Leadership: You are comfortable balancing technical excellence with mentoring others and leading customer engagements.\n\n\n\n\nCOMPENSATION & BENEFITS\n\n - $168k - $213k + equity\n\n - Comprehensive healthcare, 401k matching, commuter benefits\n\n - 15 days PTO + holidays, unlimited sick days\n\n - Flexible leave options\n\n - Working late? We’ve got you covered with DoorDash and an Uber home\n\nJoin us in building AI that protects the global financial system from financial crimes that fund terrorism, human trafficking, and other serious threats.","compensation":{"compensationTierSummary":"$168K – $213K • Offers Equity","scrapeableCompensationSalarySummary":"$168K - $213K","compensationTiers":[{"id":"d1f517c1-82cf-4f15-9dae-ff9bbce1ed05","tierSummary":"$168K – $213K • Offers Equity","title":null,"additionalInformation":null,"components":[{"id":"6773f34e-028c-4750-b73d-ea10fcb0914a","summary":"$168K – $213K","compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":213000},{"id":"51e5d2a3-31cf-4b4f-ba67-e5f6205da435","summary":"Offers Equity","compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}],"summaryComponents":[{"compensationType":"Salary","interval":"1 YEAR","currencyCode":"USD","minValue":168000,"maxValue":213000},{"compensationType":"EquityCashValue","interval":"1 YEAR","currencyCode":"USD","minValue":null,"maxValue":null}]}},{"id":"b21f7919-92f0-4de8-bd76-daeb16341a31","title":"Forward Deployed Engineer","department":"Engineering ","team":"Engineering ","employmentType":"FullTime","location":"San Francisco, CA","shouldDisplayCompensationOnJobPostings":true,"secondaryLocations":[],"publishedAt":"2026-03-10T01:20:39.556+00:00","isListed":true,"isRemote":false,"workplaceType":"OnSite","address":{"postalAddress":{"addressRegion":"California ","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/brettonai/b21f7919-92f0-4de8-bd76-daeb16341a31","applyUrl":"https://jobs.ashbyhq.com/brettonai/b21f7919-92f0-4de8-bd76-daeb16341a31/application","descriptionHtml":"Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
We are looking for a Forward Deployed Engineer (FDE) to work directly with customers to deploy and integrate Bretton’s platform in real-world environments. This role sits at the intersection of engineering, customer deployments, and product discovery, helping customers implement Bretton’s technology in complex enterprise environments while uncovering insights that improve and scale the product.
Deploy Bretton's AI agents at banks, fintechs, and payments companies, navigating the security and compliance requirements that come with regulated environments.
Travel onsite to work through last-mile connectivity challenges, from wiring up core banking integrations to resolving edge cases that only surface in live production.
Partner with BSA officers, AML analysts, and risk teams to translate their workflows and regulatory requirements into agent behavior that reflects how their business actually works.
Build the connectors, configuration tools, and internal frameworks that turn one-off customer solutions into repeatable platform capabilities.
Guide customers from demo through go-live as a trusted technical advisor, helping them resolve issues quickly and expand the value they get from Bretton.
Work cross-functionally with engineering, product, and GTM to remove blockers and do whatever it takes to make customers successful.
Diagnose and resolve issues in real deployments by reproducing problems and collaborating with the engineering team to fix them.
Translate customer usage into product insights by sharing customer needs with engineering and product teams and identifying opportunities to turn recurring solutions into product features.
2+ years of experience as a software engineer or similar
Strong backend or data engineering background
Experience with Python, APIs, data pipelines, and cloud infrastructure
Previous experience in a customer-facing technical role (e.g., solutions engineer, forward deployed engineer, or technical implementation role) is a plus.
Actively building with LLMs and modern AI systems is a must
Excellent communication skills
Ability to explain AI systems to non-technical stakeholders
Strong debugging and problem-solving mindset
Comfort working with enterprise customers
$150k - $200k base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
Flexible time off, unlimited sick days, and paid holidays
Flexible leave options
Working late? We cover DoorDash and Uber home
Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
Financial crime is one of the largest hidden problems in the global economy. Money laundering alone moves an estimated $2 trillion through the financial system every year, funding everything from sanctions evasion to human trafficking to terrorism.
We're hiring investigators to catch it. You'll dig into transaction patterns, trace money across counterparties, and decide whether what you're looking at is a false alarm or something worth escalating. You'll also work with the most advanced AI tooling in the industry. Bretton's AI does the routine work, such as pulling data, surfacing red flags, and drafting first-pass narratives, so you can spend your time doing what investigators do best: noticing what doesn't add up, asking the next question, and making the call.
You'll also be the closest connection our Product and Engineering teams have to real-world investigations. What you notice in the work directly shapes what gets built next. Edge cases you flag become new AI capabilities. Patterns you surface drive the product roadmap. You won't just be using the most sophisticated AI tooling in financial crime, you'll be the reason it gets better.
This is real investigative work, on real cases, with real stakes. If you want a front-row seat to the most consequential AI work happening in financial crime, this is it.
Investigate transactions, counterparties, and customer activity to figure out what's really going on
Work alerts using established AML procedures, separating false positives from genuine red flags
Use Bretton's AI agents to accelerate research, transaction analysis, and narrative drafting, then bring your own judgment to what the AI surfaces
Write clear, defensible narratives that hold up to quality assurance and regulatory scrutiny
Document your findings in the case management system to a high standard
Partner directly with Product and Engineering, surfacing edge cases, gaps, and opportunities that shape Bretton's roadmap
Month 1: Onboard, learn the relevant procedures, and start working live cases with structured support. Build deep familiarity with the work you'll do at Bretton.
Month 2: Hit steady-state production with strong quality scores. Handle routine work independently and bring sharp questions to complex cases. Start contributing to procedural calibration discussions and product feedback loops.
Month 3: Become a trusted contributor on the team. Your hands-on insights shape how our AI evolves. Strong performers are positioned for extended engagements and expanded scope as our financial crime team grows.
We're hiring at multiple levels. Whether you're early in your career or bring years of investigative experience, we want to hear from you.
A degree in finance, accounting, criminology, economics, business, law, political science, or a related analytical field, or equivalent professional experience
Strong written analysis skills. Your writing is clear, structured, and stands up to scrutiny
Sharp attention to detail and the instinct to notice when something doesn't add up
Sharp judgment under ambiguity. You know when to dig deeper, when to escalate, and when to close
Comfort working independently in structured procedural environments. You can follow detailed instructions without losing the bigger picture
Genuine curiosity about how financial crime actually works and how to stop it
Comfort working alongside AI tools. You understand both their power and their limits, and you naturally verify outputs rather than accepting them on faith
Legally authorized to work in the United States without sponsorship
CAMS certification (Certified Anti-Money Laundering Specialist) or equivalent
Hands-on AML case investigation experience, including SAR drafting
Working knowledge of money laundering typologies, red flag indicators, and US Bank Secrecy Act (BSA) requirements
Experience training, calibrating, or onboarding analyst teams
Perspective from working across multiple institution types: bank, fintech, consultancy, BPO, or regulator
Familiarity with SQL or basic data analysis
Coursework or internship experience in financial regulation or banking
Bretton is building the agentic AI platform that runs the financial back office: one platform where teams at financial institutions can configure, deploy, and run AI agents for any workflow across compliance, risk, fraud, and operations. The same way Harvey became the agentic AI layer for the legal industry, Bretton is the system of action for financial back office teams. Companies like Kraken, Mercury, and Gusto trust us to automate mission-critical work, starting with anti-money laundering (AML) and counter-terrorist financing investigations.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures, Sapphire Ventures, and other top-tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like SpaceX, Google, Netflix, Stripe, Plaid, and more.
This is our first Talent and People lead hire. We’re 50 people, post-Series B, and at the stage where the informal systems that got us here are starting to show their limits. Culture is strong, but onboarding is patchy, policies are undocumented, comp is ad hoc, and we don’t yet have the infrastructure to scale a team intentionally.
You’ll fix that. You’re a strong recruiter, and also the person who builds the operating system underneath: comp and leveling, benefits, HR ops, onboarding, policies, and the rhythms that make a distributed team feel connected.
This is a hands-on, builder role. You’ll own the roadmap, execute it yourself, and grow the function as the company scales around you.
Be a thought partner to the C Suite and Leadership Team on the people calls that matter at this stage.
Translate company strategy and growth plans into a clear People roadmap.
Partner on organizational design, headcount planning, leveling, and talent decisions.
Embed AI tools and agents sensibly across hiring, onboarding, performance, and people ops where relevant, using AI to generate efficiencies and help us move faster
Own our talent acquisition strategy end-to-end: deciding whether to use vendors, process design, candidate experience, and closing.
Partner with hiring managers to define roles, build structured interview processes, and make fast, high-quality hiring decisions.
Utilize the Leadership Team to build the employer brand and talent pipeline that lets us compete for exceptional people against larger, better-known companies.
Performance & Development
Build a manager training program consistent with our size of business and speed of execution.
Design and run our performance cycle: goal setting, reviews, calibration, leveling and career frameworks.
Coach managers on performance management, PIPs, and difficult conversations, aligned to our values.
Design and lead our compensation strategy, including leveling, equity best practices, and total rewards that are fair, transparent, and defensible as we grow.
Review and update our benefits package and communicate changes clearly to the team.
Own HRIS, payroll, employee data, handbook, and policies; make build/buy/PEO calls on our people stack
Own HR operations: onboarding/offboarding, employee records and compliance (including SOC 2-aligned offboarding).
Stand up or improve the tools and systems that underpin People ops (HRIS, ATS, handbook tooling, etc.).
Design and run our team rhythms: All Hands (in-person and remote), quarterly events, and our annual offsite.
Continue to develop how we make remote employees feel embedded as part of the team, including office AV infrastructure and the appropriate regular team thythms
Be the connective tissue between leadership and the team, surfacing what people need and helping the company respond well.
Own the Employee Handbook and keep it alive: policies people can actually find, understand, and trust.
5+ years in People/HR roles at a high-growth startup (Series B+).
Recruitment experience - you’ve personally sourced and closed hard-to-fill roles and you know what good hiring looks like in practice.
Proven experience building People infrastructure from scratch: comp frameworks, onboarding programs, policies, handbooks.
Operationally sharp: you can design a process, document it, implement it, and make it stick without a team behind you.
High EQ and sound judgment - people trust you with hard things.
Based in San Francisco (or willingness to relocate).
Experience in fintech, regtech, or other compliance-adjacent environments.
Familiarity with SOC 2 requirements as they relate to HR ops and offboarding.
Experience running distributed team programs like remote All Hands and offsites.
Comfort with tools like Rippling, Ashby, Notion, or similar People/HR platforms.
Ownership from day one. We’re looking for a leader who can jump in and lead our mighty people team of 2, building all our processes (mostly from scratch). The culture and systems you create will shape how Bretton operates for years.
Direct access and real influence. You’ll report to the COO and work closely with the CEO and COO on every people decision that matters.
A clear path to grow. As we scale, so will this role - you’re the first hire, not the last.
A company that’s already working. We have revenue, strong investors, and a team that genuinely wants to be here. You’re joining a real business, not a bet.
Competitive base salary + meaningful equity
Comprehensive healthcare, 401k matching, commuter benefits
Unlimited PTO + holidays, unlimited sick days
Flexible leave options
Working late? We’ve got you covered with DoorDash and an Uber home
Bretton runs AI-native operations for the financial back office. OCC, Fed and FDIC regulated banks use Bretton AI to run compliance, risk, fraud, and operations on one platform, on their own data and policies, with every output traced, cited, and audit-ready.
We’ve raised over $95M from Greylock, Y Combinator, Thomson Reuters Ventures and other top tier investors. We’re based in downtown San Francisco and our team comes from world-class organizations like Google, Netflix, Stripe, Plaid, Brex, and more.
We're going to publish a lot: blog posts, guides, case studies, email, social, and research that sets the standard for how AI in compliance gets evaluated. You will own all of it.
This is a writer-first role. We produce most of our content in-house, so you'll spend most of your time researching, interviewing internal experts, and writing, and the rest running the editorial calendar that keeps everything shipping on time. You'll work closely with our Director of Product Marketing (who owns messaging and positioning), our Growth and Field Marketing Directors (who need content to fuel campaigns and events), and our PR firm (who amplifies what we publish and occasionally ghostwrites bylines for us).
You will be the person who turns our subject matter expertise into a consistent, high-volume, high-quality content engine.
Own the editorial calendar end to end: planning, prioritization, production, publication, and reporting
Write the majority of our content yourself: long-form blog posts, guides, case studies, email copy, social posts, and web copy
Interview internal experts (founders, compliance specialists, product leads) and turn conversations into publishable content
Build a simple intake process so Growth, Field, and Product Marketing requests get prioritized transparently
Establish and enforce a quality bar appropriate for a technical, regulated audience
Leverage AI tools to accelerate your work while maintaining the anti-slop, high quality bar expected of Bretton AI content
Repurpose flagship content across formats and channels to maximize output per idea
Report on content performance monthly and adjust the calendar based on what works
4-7 years in content marketing, with meaningful time at a B2B SaaS company (fintech, regtech, security, or another technical/regulated space strongly preferred)
Exceptional writing: clear, structured, and fast. You'll be asked to show work you personally wrote and complete a short writing exercise
Proven high-volume production: you've shipped consistently on a calendar, not just produced occasional flagship pieces
Comfort with dense subject matter: you can get smart on financial crime requirements, lending regulations, consumer compliance nuances and write about it credibly for compliance professionals
Self-directed: you've operated as the primary or sole content person before, or you're ready to
Working knowledge of SEO fundamentals, content analytics, and modern content tooling
Experience writing about AI/ML products for skeptical, risk-aware buyers
Familiarity with financial services compliance, banking, or fintech
Experience turning webinars, podcasts, or video into written content
You'll own the content marketing function at a fast-growing, well-funded company, with direct line of sight to pipeline impact
Compliance and AI is one of the most substantive B2B topics there is: real stakes, real expertise in the building, no shortage of things worth saying
Small team, senior leadership access, and the chance to shape the content engine from scratch rather than inherit someone else's system
Competitive salary + equity + commission
Comprehensive healthcare, 401k matching, commuter benefits
Flexible time off, unlimited sick days, and paid holidays
Working late? We’ve got you covered with DoorDash and an Uber home