Full Stack Product Engineer Jobs in San Francisco, CA
Full Stack Product Engineer jobs in San Francisco are in strong demand, concentrated in SoMa, the Financial District, and Mission Bay across fintech, enterprise software, and consumer tech. Employers hiring right now include OpenAI, Rippling, and Anthropic. Scan the live roles below and apply to whichever ones fit.
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About Alpaca Health
Alpaca Health enables clinicians to become entrepreneurs, starting in autism care.
We help clinicians launch and scale their own clinics by providing AI-powered software, payer contracting, and full back-office infrastructure. Our goal is simple: use technology to make business ownership possible for every passionate provider.
We've raised over $14M in funding from early-stage investors like Core Innovation Capital, Adverb Ventures, and South Park Commons, and are building for long-term category leadership. More importantly, we're serving hundreds of patients, while growing 30% MoM.
This role is full-time. We’re looking for candidates based in New York City or San Francisco, excited about a 5 days in-office culture.
Both founders are technical. Every engineer on the team has experience at early-stage startups. Several have built products from zero to scale, and one previously founded a YC-backed company.
We care deeply about engineering quality, ownership, and building systems that correctly model reality. We do not have layers of management, architecture committees, or roadmap bureaucracy. Engineers talk directly to customers, make technical decisions, and ship.
Role: Senior Software Engineer
We're a tiny engineering team building something large. You'd be the person who owns the platform foundation — the data models, the money logic, the state machines, the API contracts, the AI infrastructure. Not "owns" in the sense of reviewing PRs. Owns in the sense of: you designed it, you built it, you stand behind it.
One day you're designing a schema migration strategy. The next you're building an LLM pipeline for clinical documentation. The day after that you're debugging a billing edge case that only appears when Colorado Medicaid is the secondary payer.
This isn't a job for someone who wants to specialize. It's a job for someone who gets uncomfortable when critical business logic lives in someone's head instead of in code.
What You’ll Own
AI-Native Clinical Workflows
We're rethinking healthcare software from the ground up with AI built into the core experience. You'll help build products that assist with clinical documentation, treatment planning, reassessments, supervision, and administrative work, giving providers more time to focus on patient care.
Revenue & Payments Infrastructure
Healthcare is ultimately a complex flow of money. You'll own systems that determine how services are authorized, billed, adjudicated, and paid, ensuring providers get paid accurately and on time while maintaining trust in the platform.
Provider Business Operations
Starting a healthcare practice today is painfully manual. Build the tools that make credentialing, contracting, compliance, payroll, scheduling, and staffing feel effortless, allowing clinicians to focus on growing their practices instead of managing paperwork.
Patient & Family Experiences
Design the products families interact with throughout their care journey, from intake and onboarding to scheduling, communication, progress tracking, and payments. You'll help create experiences that make accessing care dramatically easier.
Internal Automation Systems
Much of healthcare still runs on spreadsheets, inboxes, and manual workflows. You'll build software and AI systems that automate operational work across credentialing, billing, authorizations, and care coordination, enabling a small team to support thousands of providers.
Platform Foundations
You'll also own the underlying systems that make all of this possible: data models, APIs, security, compliance, reliability, AI infrastructure, and production systems. We expect engineers to own products end-to-end, from the database schema all the way to the user experience.
Who You Are
You've built in environments where mistakes matter. Whether in fintech, healthcare, insurance, logistics, or another operationally complex domain, you've worked on systems where data integrity, money movement, and business rules couldn't be treated as an afterthought.
You think in systems, not features. When someone describes a workflow, you naturally start modeling states, transitions, invariants, and edge cases. You enjoy turning messy real-world processes into clean software abstractions.
You have strong product instincts. You care about the user experience as much as the implementation. You can sit with a provider, understand their pain points, and translate them into software that feels simple despite complex underlying logic.
You thrive in ambiguity. You don't need a fully written PRD to get started. You're comfortable taking a loosely defined problem, identifying the important questions, proposing solutions, and driving execution.
You operate with high ownership. You don't think of your job as writing tickets. You think of your job as making a problem disappear. If something is blocking the business, you'll figure out how to solve it regardless of where it falls on the org chart.
You are AI-native. You actively use AI in your day-to-day workflow and are constantly experimenting with new ways to increase leverage. You're excited about what software development, operations, and healthcare workflows look like when AI is a first-class primitive rather than an add-on.
You balance speed with judgment. You know when to move fast and when to invest in foundations. You can build quickly without leaving behind a trail of technical debt that someone else has to clean up later.
You enjoy learning complicated domains. Healthcare is full of exceptions, regulations, payer rules, credentialing requirements, and operational edge cases. Rather than finding that frustrating, you find it intellectually interesting.
You still love writing code. You're experienced enough to lead major technical decisions, but you haven't lost the desire to build. You want to spend your time creating products and systems, not managing process.
Nice to Have
Experience building AI-powered products in production
Experience with LLM workflows, agents, evals, or developer tooling
Experience modeling complex operational or financial systems
Healthcare, EHR, insurance, or revenue cycle experience
Experience at an early-stage startup where you owned large parts of the product
Why Join Now
The decisions made in the next year — how the domain model is structured, how state machines are enforced, how AI workflows are built safely — will define the system for a long time. You'd be joining after product-market fit but before the platform has fully caught up to the business. Not "rescue a failing system." Build the foundation that lets a working, fast-growing system scale correctly.
Founding engineer autonomy, real ownership, and a company that's clearly on its way somewhere.
Compensation Range: $120K - $200K
See All 1,000+ Full Stack Product Engineer Jobs in San Francisco
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Find JobsFull Stack Product Engineer Job Market in San Francisco
Who's Hiring
- OpenAI63

- Rippling60

- Anthropic27

- Harvey22

- Databricks22

Top Industries Hiring
- Technology & Software632
- Science & Research99
- Artificial Intelligence73
- Banking & Financial Services65
- Consulting & Professional Services63
Full Stack Product Engineer Jobs in San Francisco: Frequently Asked Questions
How do I get a full stack product engineer job in San Francisco?
San Francisco's highest concentration of full stack product engineer roles sits in fintech, enterprise SaaS, and consumer tech companies clustered in SoMa, Mission Bay, and the Financial District. Candidates who show end-to-end product ownership, from API design through front-end delivery, stand out. Targeting growth-stage startups and established tech firms with active engineering blogs or open-source projects gives you concrete talking points specific to this market.
Which companies hire full stack product engineers in San Francisco?
San Francisco full stack product engineer roles are posted by OpenAI, Rippling, and Anthropic and others right now, based on current listings on Migrate Mate as of June 2026. The hiring mix leans toward venture-backed startups and public technology companies that build their own products in-house rather than relying on consulting or staffing arrangements.
Are there remote full stack product engineer jobs in San Francisco?
Yes, full stack product engineering is well-suited to remote and hybrid arrangements because the work centers on code, code review, and async collaboration rather than physical presence. About 39% of full stack product engineer openings tied to San Francisco are remote or hybrid as of June 2026, reflecting the tech sector's flexible norms here. Architecture discussions and sprint ceremonies are the parts of the role most commonly kept in-person or on a hybrid cadence in San Francisco teams.
How can I get a full stack product engineer job in San Francisco with little or no experience?
The most realistic entry path in San Francisco is joining an early-stage startup in a junior engineer or software engineer role where product and engineering responsibilities overlap from day one. Companies in the Dogpatch and SoMa startup corridors routinely hire engineers who ship across the stack without deep specialization. Contributing to open-source projects used by Bay Area companies and attending local hackathons or meetups in the Mission and Hayes Valley tech communities builds the visible portfolio that hiring managers here respond to.
Which industries hire the most full stack product engineers in San Francisco?
San Francisco full stack product engineer roles concentrate in Technology & Software, Science & Research, and Artificial Intelligence, based on current listings on Migrate Mate as of June 2026. San Francisco's dense cluster of fintech companies, enterprise software firms, and consumer app developers creates sustained demand for engineers who can own features across the full product stack rather than working in narrow specialty silos.
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