Job Description
Affirm is reinventing credit to make it more honest and friendly giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
About the Team:
People Tech & Analytics (PTA) builds and owns the data AI and technology infrastructure for Affirm's People function. The team runs like a product engineering group embedded in HR. We own the full stack: data ingestion transformation dashboards AI tools and production applications deployed on Snowflake.
About the Role:
This is a hands-on engineering role. You will build deploy and maintain AI-powered systems that serve the People function and the broader employee base. The work is taking messy business problems (fragmented knowledge manual processes disconnected tools) and turning them into working software: agents APIs applications and infrastructure. You will work closely with partners across the People function who own domain expertise and stakeholder relationships. Your job is to turn their rough applications and processes into production systems and to push back when a technical constraint changes what's possible. This is not a pure backend role. You will be in the room when business problems are being scoped and you need to understand the problem well enough to make architecture decisions on your own. You also need to take what you build and get it running in production. Hosting security deployment and ongoing maintenance are all part of the job.
What You'll Do:
Build and ship AI agents APIs and applications on Affirm's internal platform (Snowpark Container Services / Quicksilver). You own the full lifecycle: architecture containerization networking secrets CI/CD monitoring and fixing what breaks.
Turn messy business requirements from People Operations stakeholders into production systems. Integrate with Workday Notion and case management tools so AI surfaces real answers from governed content not model guesses.
Navigate Affirm's existing security and data governance infrastructure to get AI systems running safely on people data. RBACs data classification and access policies already exist but connecting them across systems (Workday Snowflake case tools) is where it gets messy. You figure out what's allowed build within those constraints and make sure employee data stays where it's supposed to.
Design reliability infrastructure for multi-model LLM services. Structured output validation fallback chains circuit breakers for external APIs and quality controls that catch hallucination before users see it.
Work directly with non-technical stakeholders to scope problems make architecture decisions and give honest assessments of what AI can and can't do. You translate in both directions.
Contribute to the team's shared Python codebase dbt models and Snowflake infrastructure as part of a small full-stack team that ships fast.
Own what you build. When something breaks in production you diagnose and fix it.
What We're Looking For:
Software engineering foundation. You have built deployed and maintained production applications. You understand version control (Git/GitHub) CI/CD pipelines containerization and what it takes to keep software running not just written.
Systems thinking and technical architecture. You understand how software systems fit together: databases APIs authentication hosting deployment pipelines. You can make architecture decisions evaluate trade-offs and read code well enough to know when something is wrong. The team works primarily in Python and you should be comfortable in it but the ability to think in systems matters more than raw coding skill.
Builder disposition. You have created something from nothing: a system a tool a platform in an environment where nobody handed you a spec. You identified the problem designed the solution and shipped it.
Ability to work across the technical-business boundary. You can sit in a meeting with non-technical stakeholders understand the real problem behind the stated request and come back with a solution that actually addresses it. You translate in both directions: technical constraints into business language business needs into technical requirements.
Why You'll Love This Role:
You will build AI systems that directly change how 2000+ employees interact with the People function. Visible measurable impact.
Small team high autonomy. You own what you build from architecture through production.
Work at the frontier of AI-powered employee experience. This is the kind of work that will define how companies operate in the next five years.
A team that ships fast uses AI tools as a core part of how we work and doesn't wait for permission to build things.
Pay Grade - O
Equity Grade - 12
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors including location experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards monthly stipends for health wellness and tech spending and benefits (including 100% subsidized medical coverage dental and vision for you and your dependents.)
USA base pay range (CA WA NY NJ CT) per year: $220000 - $280000
USA base pay range (all other U.S. states) per year: $195000 - $255000
Please note that visa sponsorship is not available for this position.
#LI-Remote
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
- Flexible Spending Wallets - generous stipends for spending on Technology Food various Lifestyle needs and family forming expenses
- Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
- ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
We believe It’s On Us to provide an inclusive interview experience for all including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance Affirm will consider for employment qualified applicants with arrest and conviction records.
By clicking "Submit Application" you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection processing use and storage of your personal information as described therein.
Skills Required
- Built deployed and maintained production applications; familiarity with version control (Git/GitHub) CI/CD pipelines and containerization
- Proficiency in Python and contributing to shared Python codebases
- Systems thinking and technical architecture skills (databases APIs authentication hosting deployment pipelines)
- Experience with Snowflake Snowpark Container Services Quicksilver and dbt
- Experience integrating systems with Workday Notion and case management tools via APIs
- Experience building and operating LLM/AI systems including multi-model services output validation hallucination mitigation and fallback strategies
- Knowledge of security and data governance for people data (RBAC data classification access policies) and building within those constraints
- Experience with container networking secrets management monitoring and incident remediation in production
- Strong communication and ability to work with non-technical stakeholders to scope problems and translate requirements
- Builder disposition: demonstrated ability to identify problems design solutions and ship systems with limited specification
What the Team is Saying
Affirm Compensation & Benefits Highlights
- Healthcare Strength—Benefits include comprehensive medical dental vision and robust mental‑health programs with $0 employee medical premiums for certain plans. Feedback suggests this combination makes coverage both strong and cost‑effective.
- Parental & Family Support—Birth and non‑birth parents receive 18 weeks of fully paid leave plus a four‑week full‑pay return‑to‑work transition alongside family‑planning support. Feedback suggests these policies are a standout strength for those planning or growing families.
- Leave & Time Off Breadth—Generous/flexible PTO is augmented by 20 company‑wide Away Days and additional options like “Life Happens Leave.” Feedback suggests the mix enables both collective recharge and personal time away.
Affirm Insights
What We Do
At Affirm we help people say yes to the things that matter with flexible transparent ways to pay over time. No hidden fees no compound interest and no fine print—just a smarter way to spend.
Why Work With Us
Who is an Affirmer? /noun/ Someone who believes finance shouldn’t be complicated. We come from a diverse set of backgrounds and we’re driven by the desire to improve lives through honest financial products. We define success by challenging one another to bring our best ideas to every single project—and we have fun while doing it.
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Affirm Offices
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Employees work remotely.
Affirm is a remote-first company! Our employees can work anywhere in the U.S. but if an office is more your style we have office locations in San Francisco Chicago New York City and Pittsburgh.
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Date Posted
07/02/2026
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