Job Application for Senior Manager, Software Engineering, (ML Platform) at Affirm Senior Manager, Software Engineering, (ML Platform) Remote US Apply 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. Machine Learning is central to how Affirm delivers on its mission — powering decisions across underwriting, fraud, servicing, and personalization. We are seeking a Senior Manager to lead our ML Platform engineering organization,
the team that builds and operates the critical infrastructure enabling every ML capability at Affirm. This is a high-impact, technically demanding role at the intersection of distributed systems, modern AI, and platform engineering. You will manage a team of engineering managers and stay deeply connected to the engineers building the platform, ensuring we continuously evolve ahead of Affirm's ML ambitions.
What You'll Do Own the technical strategy and roadmap for ML Platform, covering real-time and batch feature computation, model training infrastructure, and model serving at scale. Lead and grow a team of engineering managers, while staying hands-on with the technical direction and maintaining close partnership with ICs. Continuously evolve the platform 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 the platform 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. What We Look For 12+ years of industry experience in software and/or machine learning engineering, with significant hands-on software engineering experience, including 4+ years managing engineering managers. Deep expertise in building and operating large-scale ML infrastructure — feature stores, model serving systems, training pipelines, or equivalent. Strong understanding of data — data pipelines, data quality, 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. Experience navigating ambiguity and leading through organizational complexity. Bachelor's degree in a technical field or equivalent practical experience. Pay Grade - R Equity Grade - 15 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: $260,000 - $310,000 USA base pay range (all other U.S. states) per year: $232,000 - $282,000 #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. Create a Job Alert Interested in building your career at Affirm? Get future opportunities sent straight to your email. Create alert Apply for this job * indicates a required field Autofill with MyGreenhouse First Name * Last Name * Email * Phone Country * Phone * Resume/CV * Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Current Company Preferred Name * Name Pronunciation Pronouns * Select... Are you legally authorized to work in the United States? * Select... Do you now or in the future require sponsorship for employment visa status (e.g., H-1B, TN, E-3, F-1 visa status)? * Select... Which U.S. State or Canadian Province do you reside in? * Select... How did you first learn about Affirm as an employer? * Select... GitHub Twitter Portfolio Other Links Have you previously been employed at Affirm for any length of time? * Select... Demographic Survey Statement (US-based roles) Affirm is dedicated to building an inclusive culture where Affirmers belong and have an equal opportunity to thrive. To help us assess our outreach efforts, we invite candidates to voluntarily share information through a short demographic survey. This information is: Completely optional Anonymized and stored in aggregate Not accessible to recruiters or hiring managers at the individual level Never used in any hiring decision Your decision to provide or withhold this information will not impact your candidacy in any way. How do you identify? (gender identity) Select... How do you identify? (race/ethnicity) Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Affirm’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to
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