Engineering Manager, Affirm
Machine Learning Platform
$204-290k
Salary dependent on candidates location
Buy-now-pay-later card for online and in-store
Posted today
Buy-now-pay-later card for online and in-store
1001+ employees
Posted today
$204-290k
Salary dependent on candidates location
1001+ employees
Company mission
To deliver honest and transparent financial products that improve users' lives.
Role
Who you are
- 7+ years of industry experience in software and/or machine learning engineering, including 2+ years managing engineers and meaningful hands-on software engineering experience
- Strong experience building and operating production ML or distributed systems infrastructure, with hands-on experience in at least one of model training, model serving, deployment workflows, or GPU infrastructure
- Solid understanding of ML data needs, including training datasets, data quality, reproducibility, and evaluation data
- Familiarity with modern ML workloads, such as deep learning, transformer architectures, and large-scale training or serving
- Strong systems thinking and the ability to partner with senior ICs on architectural trade-offs
- Track record of delivering platforms or infrastructure that improve the productivity and impact of engineering or ML teams
- Experience recruiting, coaching, and developing engineers across career stages
- Effective cross-functional collaboration and the ability to lead through ambiguity
- Experience with applied ML modeling is a plus
- Bachelor’s degree in a technical field or equivalent practical experience
What the job involves
- We are seeking an Engineering Manager to lead our ML Training & Serving team.
- You will directly lead a team of platform engineers and combine effective people leadership with strong technical judgment in ML infrastructure.
- Working closely with senior ICs and partners across Machine Learning and Infrastructure, you will help shape the team’s roadmap, drive execution, and ensure the platform reliably supports Affirm’s ML priorities
- Partner with senior ICs and engineering leadership to define and execute the roadmap for ML training & serving, spanning model training, deployment workflows, GPU infrastructure, and low-latency model serving
- Lead, coach, and grow a team of platform engineers while staying closely engaged in technical decisions and execution
- Drive delivery and operational health for the team’s infrastructure, balancing reliability, developer experience, performance, and cost
- Evaluate and adopt modern ML infrastructure capabilities as Affirm’s needs evolve, including transformer-based workloads and GPU compute
- Collaborate with ML modeling, product, and infrastructure teams to ensure the platform supports Affirm’s highest-priority ML initiatives
- Recruit, develop, and retain high-performing 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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