Software Engineer, Product
Bretton AI
San Francisco, CA · $200k–$270k a year · Posted October 16, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,412 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
- Employers with the most engineering jobs #1 Amazon (2,992 roles)
Pay compared with the market
This listing pays about $235,000 a year. Across 787 open software engineer listings that state pay, the middle half runs $157,500 to $248,500 and the median is $195,000. That is inside the middle half of those listings, 21% above the median.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
ABOUT BRETTON AI
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.
THE ROLE
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.
WHAT YOU’LL BUILD
- 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.
WHAT WE’RE LOOKING FOR
MUST-HAVES:
- 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.
VALUED EXPERIENCE:
- 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.
TECHNICAL SKILLS:
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.
WHY YOU’LL LOVE WORKING HERE
- 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.
COMPENSATION & BENEFITS
- $200k - $270k base salary + meaningful equity
- Comprehensive healthcare, 401k matching, commuter benefits
- Flexible time off + 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.