Senior Engineering Manager, Affirm
Machine Learning Platform
$236-325k
Salary dependent on location. + Employee stock purchase plan
Buy-now-pay-later card for online and in-store
Open for applications
Buy-now-pay-later card for online and in-store
1001+ employees
Open for applications
$236-325k
Salary dependent on location. + Employee stock purchase plan
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 10+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering teams
- Deep expertise in building and operating large-scale ML infrastructure, with substantial experience in one or more of model training systems, model serving, deployment workflows, or GPU infrastructure
- Strong understanding of ML data needs — training datasets, data quality, reproducibility, evaluation data, and how data shapes model behavior and platform design
- Fluency with modern ML: deep neural networks, transformer architectures, reinforcement learning, large-scale GPU training and serving
- Strong systems thinking — comfortable reasoning from low-level infrastructure decisions to broad architectural trade-offs
- Track record of building platforms that meaningfully accelerate the productivity and impact of ML teams
- Experience on the applied ML modeling side is a plus — understanding how models are built makes you a better platform builder
- Proven track record of recruiting, developing, and retaining high-performing engineers, including coaching senior ICs and creating opportunities for them to expand their technical leadership
- Experience navigating ambiguity and leading through organizational complexity
- Bachelor's degree in a technical field or equivalent practical experience
What the job involves
- We are seeking a Senior Engineering Manager to lead our ML Training & Serving team. This is a senior technical leadership role with company-wide impact. You will directly lead a team of platform engineers, including senior technical leaders, and combine strong people leadership with deep ML infrastructure judgment. In close partnership with senior ICs, you will shape the platform’s strategy and technical direction
- Own the technical strategy and roadmap for ML training & serving, covering large-scale model training, model deployment workflows, GPU infrastructure, and low-latency model serving at scale
- Lead and grow a team of platform engineers while remaining deeply engaged in technical strategy and architectural trade-offs in close partnership with senior ICs
- Continuously evolve ML training & serving infrastructure to stay ahead of the frontier — anticipating where AI and ML are heading and building the infrastructure that makes those capabilities possible at Affirm before they become urgent needs. This includes large-scale training and serving of transformer-based models, GPU compute, reinforcement learning, and whatever comes next
- Partner with ML modeling, product, and infrastructure leadership to ensure ML training & serving infrastructure accelerates Affirm's most critical ML initiatives
- Establish engineering excellence across the organization: reliability, observability, developer experience, and operational rigor
- Recruit, develop, and retain world-class platform engineers
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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