Data Product Manager Jobs at Affirm with Visa Sponsorship
Affirm hires Data Product Managers to shape how financial data drives product decisions across its buy-now-pay-later platform. The company has a consistent track record of supporting international talent in this function, sponsoring multiple visa types for qualified candidates who can navigate complex data ecosystems in fintech.
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Get Access To All JobsINTRODUCTION
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. The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.
ROLE AND RESPONSIBILITIES
Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
Work across the engineering organization and with internal and external partners.
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
In collaboration with tech leads, develop a multi-year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.
BASIC QUALIFICATIONS
Solid leadership and interpersonal skills.
10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
Proven track record in stakeholder management, ownership, and successful delivery.
Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
Capable of mentorship, cross-functional project execution, and individual contribution.
Strong interpersonal, written, and verbal communication skills with a growth mindset.
Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
* This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
COMPENSATION
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
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.
BENEFITS
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.
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.
INTRODUCTION
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. The Data and Storage Services team is responsible for handling all of Affirm’s Data (OLAP and OLTP) requirements and encompasses the entire range from critical online checkout databases all the way to our Batch Orchestration, Streaming Infrastructure, Event Driven Frameworks, BI and analytics tools and systems. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale. We're looking for an experienced Engineering Leader to lead our growing Data and Storage Services organization, specifically our Lakehouse Analytics team. You will bring a wealth of experience in managing teams and success in delivering highly technical multi-quarter roadmaps. You will also need to be fairly comfortable with ambiguity and possess tools to work through tough deadlines, craft strategy and drive execution. You will be able to work with your teams, as well as product stakeholder teams, to define architectural/organizational future states that we can scale to in the future. You will need to make balanced calls that align with our forward-looking vision and current business & technology critical needs.
ROLE AND RESPONSIBILITIES
Lead a team of engineers and managers with empathy while fostering a high-performance, ownership-driven & inclusive culture to develop frameworks, systems, and tools for new Affirm products.
Oversee teams managing storage services including relational, key-value, and analytics storage infrastructure and tools at scale.
Understand and drive business and engineering metrics, promoting a culture of reliability, security, and productivity.
Collaborate with tech leads, program managers, and other engineering managers on security, tools, architecture, planning, and delivery of multiple concurrent projects.
Work across the engineering organization and with internal and external partners.
Provide leadership and growth opportunities to team members, mentor engineers, recruit, and represent Affirm hiring brands.
Lead technical decisions, projects, and roadmaps within the Lakehouse Analytics, Analytics Engineering and Privacy Engineering teams, shaping Affirm’s strategy for managing and serving orchestration workloads.
Collaborate with peers, leadership, and stakeholders across platform engineering and product engineering organizations.
In collaboration with tech leads, develop a multi-year roadmap to design and implement frameworks, services, and tools for new Affirm products and business needs.
Guide, tutor, and aid in the professional growth of junior and senior engineers within the team.
BASIC QUALIFICATIONS
Solid leadership and interpersonal skills.
10+ years of experience in managing multiple diverse and inclusive teams and delivering large cross-functional technical programs.
Proven track record in stakeholder management, ownership, and successful delivery.
Expertise in managing large-scale, geographically distributed compute and data processing systems, including data lake solutions and Workflow Orchestration frameworks.
Expertise in scaling frameworks like Snowflake, Spark, Flink and, Kafka on Kubernetes and cloud providers like AWS, leveraging storage systems such as AWS S3 and Apache Iceberg.
Capable of mentorship, cross-functional project execution, and individual contribution.
Strong interpersonal, written, and verbal communication skills with a growth mindset.
Experience in the data infrastructure domain and a passion for leading technical teams and contributing to Open Source solutions.
* This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
COMPENSATION
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
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.
BENEFITS
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.
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.
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Get Access To All JobsTips for Finding Data Product Manager Jobs at Affirm Jobs
Frame your portfolio around financial data products
Affirm evaluates Data Product Managers on experience with credit, risk, or payments data specifically. Prepare case studies that show how you've defined data requirements, built pipelines, or improved decisioning in a regulated financial context before your first screen.
Target roles that map to your visa category
Affirm sponsors H-1B, TN, and F-1 OPT candidates, but hiring teams prioritize roles where your status timeline aligns with the team's needs. If your OPT expires within six months, clarify your H-1B cap-gap eligibility upfront so recruiters don't flag a timeline mismatch.
Verify your degree field satisfies specialty occupation criteria
USCIS requires that your degree field directly relate to the Data Product Manager role. Degrees in computer science, statistics, or information systems map cleanly. A degree in an unrelated field, even with strong experience, can complicate the H-1B petition and should be addressed with your employer's immigration counsel early.
Use Migrate Mate to surface open Data Product Manager roles at Affirm
Affirm posts Data Product Manager openings across multiple teams simultaneously, and listings close quickly. Use Migrate Mate to filter specifically for Affirm roles that support your visa type so you're applying to positions where sponsorship is already confirmed, not assumed.
Negotiate the offer before the LCA filing window closes
Once Affirm's legal team initiates the Labor Condition Application with DOL, the role title and wage level are locked. Raise any concerns about title, salary band, or start date during the offer stage, not after the LCA is filed, to avoid amendments that delay your start.
Prepare for a technical and cross-functional interview structure
Affirm's Data Product Manager interviews test both SQL and product sense, alongside stakeholder scenarios involving risk or compliance teams. Practicing data product cases specific to lending or underwriting signals domain readiness and reduces the chance of a rejection that forces a sponsorship timeline restart.
Data Product Manager at Affirm jobs are hiring across the US. Find yours.
Find Data Product Manager at Affirm JobsFrequently Asked Questions
Does Affirm sponsor H-1B visas for Data Product Managers?
Yes, Affirm sponsors H-1B visas for Data Product Manager roles. The process typically begins after you receive a formal offer. Affirm works with immigration counsel to file the Labor Condition Application with the DOL and then submits the H-1B petition to USCIS. Cap-subject petitions must align with the annual April filing window, so your start date will depend on where you fall in that cycle.
How do I apply for Data Product Manager jobs at Affirm?
Apply directly through Affirm's careers page or use Migrate Mate to browse open Data Product Manager roles at Affirm filtered by visa sponsorship type. Before applying, confirm the role aligns with your immigration status, since some positions have team-specific constraints on sponsorship timelines. Tailoring your resume to highlight fintech or financial data experience will strengthen your application.
Which visa types does Affirm commonly use for Data Product Manager roles?
Affirm sponsors H-1B, F-1 OPT, F-1 CPT, TN, and EB-2 or EB-3 Green Card pathways for this role. F-1 OPT is typically the entry point for recent graduates, with H-1B sponsorship following if you're selected in the lottery. TN is available for Canadian and Mexican nationals in qualifying roles. Green Card sponsorship through PERM is generally initiated after you've established tenure at the company.
What qualifications does Affirm expect for a Data Product Manager?
Affirm looks for candidates with a background in computer science, data science, or a quantitative field combined with product management experience in a data-heavy environment. For H-1B purposes, your degree must relate directly to the role, which USCIS will assess during petition review. Practical experience with SQL, data pipelines, and cross-functional work in financial services or fintech strengthens both your candidacy and the specialty occupation argument.
How do I plan my timeline if I'm on F-1 OPT targeting an Affirm H-1B sponsorship?
If Affirm hires you on OPT, you need to be registered in USCIS's E-Verify system, which Affirm is enrolled in, to qualify for the 24-month STEM OPT extension. That extension gives you up to three OPT lottery cycles to be selected. If you're not selected after your STEM extension expires, you'd need to either leave the country or transition to another status. Build this timeline into your conversation with your recruiter before accepting the offer.
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