AI Solutions Engineer, Affirm
$195-280k
Salary dependent on location. + An employee stock purchase plan enabling you to buy shares of Affirm at a discount
Buy-now-pay-later card for online and in-store
Be an early applicant
Buy-now-pay-later card for online and in-store
1001+ employees
Be an early applicant
$195-280k
Salary dependent on location. + An employee stock purchase plan enabling you to buy shares of Affirm at a discount
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 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
What the job involves
- People Tech & Analytics (PTA) builds and owns the data, AI, and technology infrastructure for Affirm's People function
- 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
- 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
- You will build AI systems that directly change how 2,000+ 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
Our take
Affirm offers point-of-sale loans to consumers, working with merchants like Shopify, KAYAK, and Walmart. Buy now, pay later transactions have grown in popularity in recent years, and this business is tapping into the market with a totally different approach to credit - by delivering the Affirm card, the first US debit card with the option to pay-over-time.
Serving over 21 million consumers and over 300,000 merchants, the company offers flexible payback options ranging from 3 to 36 months. The interest rates run between 0% and 30%, so, while they are not necessarily the cheapest option, Affirm prides itself on having no fees for late payments, no hidden charges, and total transparency about what people will pay before they take out a loan.
Affirm collects payments from the customers and pays the merchants directly, shouldering the risk itself. The company has boosted its market share, expanding its availability beyond the US to include most of Canada, and continues to launch new features and create new partnerships towards bettering its offering.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-11% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Sep 2020
$500m
SERIES G
Apr 2019
$300m
SERIES F
Total funding: $1.1bn
Company benefits
- Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
- Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
- Supportive Communities: Get involved with our employee resource groups and community groups
- Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
- Generous Time Off: Take the time you need when life happens
- Health Benefits: Get a plan that fits your needs
- Mental Healthcare: Take care of your mind with great mental health programs
- Parental Leave: Birth and non-birth parents get 18 weeks’ paid leave. Plus, a 4-week return-to-work transition program, at full base pay
- Away Days: We offer 20 company-wide paid days off—which help our teams collectively pause to recharge
- Learning & Development: Engage in exciting learning programs to level up your growth
Company HQ
Chinatown, San Francisco, CA
Leadership
Max Levchin
(Co-Founder & CEO)Has founded/co-founded numerous companies, holding various executive positions at each, including Paypal, Slide, Glow, HVF Labs, and SciFi VC. Also worked at large brands including Google, Yelp, Yahoo, and Evernote.
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