Manager, Machine Learning Engineering (Consumer ML)

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 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.

This team delivers Machine Learning and Search solutions to build resilient and scalable consumer products. This team has two charters of powering ML-optimized user experiences across our consumer surfaces and building a platform for organized, consistent and relevant search results to consumers.

What you’ll do

Collaborate with our Product, Analytics, and Operations teams to set and execute Consumer ML and Search platform strategy

Recruit and hire senior engineers

Coach, develop, retain, and provide feedback to team members

Organize the Consumer Search and ML team as necessary to fulfill its mandate

Establish OKRs and critical metrics to set the engineering team’s direction and measure its success

Create a long term technical roadmap that enables the team to keep up with our fast growing business

Build a strong engineering culture around innovation, accountability, empathy, and execution

On-Call Rotation - There would be an on-call rotation for this role as a requirement

What we look for

Passionate: Passionate about Affirm's Mission: "Deliver Honest Financial Products that improve lives"

Technical: Solid engineering fundamentals and real world experience building scalable engineering and ml solutions

Collaborative: Enjoys cross team collaboration especially with product managers and business partners

Humble: You lead with the humility and self-awareness needed to navigate challenging situations

User Focused: Cares about the details in the user experience

Experience: 3+ years managing high performing engineering teams

Compensation & Benefits

Pay Grade - ESP31

Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.

Min: €83,900

Mid: €104,800

Max: €125,800

We offer a competitive package, with some highlights listed below:

Flexible Spending Wallets for tech, food and lifestyle

Generous time off policies

Away Days - wellness days to take off work and recharge

Learning & Development programs

Parental leave

Robust health benefits

Employee Resource & Community Groups

We are able to offer visa sponsorship for this role, but do require that someone is based in Spain for the role.

Location - Remote Spain

#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.

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