What is the type of contract for this position?

The contract for this position is a Full-time contract

Is telecommuting possible for this position?

Yes, telecommuting is possible for this position

Lead Product Manager, ML job at Affirm

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. Affirm, Inc. proudly includes Affirm, PayBright, and Returnly.

As a data driven organization, we focus on automating decisions around a host of areas such as underwriting, fraud, capital markets, pricing (for merchants and consumers), and personalization. To achieve our ambitious goals for these areas, we’re looking for a Lead Product Manager to join our Product Team. This role will empower our teams to build delightful and magical user experiences through seamless automated decisioning powered by machine learning!

This product manager will be responsible for setting product strategies around our key product areas of consumer credit, underwriting, and loan economics which form the foundation of all end user experiences in the US and globally. This role reports to the Group Product Manager for ML and Risk, which consists of ML, Credit, Pricing, and Merchant Risk.

What You'll Do

Create new credit products that maximize the value we provide to our consumers
Drive product roadmap and own prioritization process for ML and Credit
Define the success metrics, OKRs and SLAs by partnering with cross functional leaders
Work closely with all product teams, business, ops, and executive partners to ensure successful end-to-end delivery of credit products powered by data
Use data-driven experimentation and measurement frameworks to track product success or lack of thereof

What We Look For

5+ years experience in Product Management
Ability to work in a global environment across multiple locations and time zones to drive consensus in cross-functional teams
Outstanding written and verbal communication with a diverse stakeholder audience
Comfortable in an ambiguous matrixed organization
Deep understanding of software development for machine-learned products and platform services
Familiarity with a highly regulated industry
Familiarity with a machine learning model lifecycle from ideation to deployment
A thorough understanding of how to apply algorithms
Ability to champion the use of data to drive automated decisions online
Key knowledge around experimentation
Experience in platform and service oriented architectures to build for scale

Location - Remote U.S.

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and can be located anywhere in the U.S. and Canada (with the exception of the U.S. Territories, Quebec, Yukon, Nunavut, and the Northwest Territories) unless the job indicates a different global location. We are currently building operations in Spain, Poland, and Australia. Employees in remote roles have the option of working remotely or from an Affirm office in their country of hire, and may occasionally travel to an Affirm office or elsewhere for required meetings or team-building events. Our offices in Chicago, New York, Pittsburgh, Salt Lake City, San Francisco and Toronto will remain operational and accessible for anyone to use on a voluntary basis, subject to local COVID-19 guidelines.

If you got this far, we hope you're feeling excited about this role. Even if you don't feel you meet every single requirement, we still encourage you to apply. We're eager to meet people who believe in Affirm's mission and can contribute to our team in a variety of ways—not just candidates who check all the boxes.

Inclusivity:

At Affirm, People Come First is one of our core values, and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2020 DEI Report.

We also 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.

By clicking "Submit Application," you acknowledge that you have read the Affirm Employment Privacy Policy, or the Affirm Employment Privacy Notice (EU) for applicants applying from the European Union, 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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Lead Product Manager, ML Credit

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