Software Engineering Manager, Affirm

Machine Learning (Decisions and Pricing EU)

€101-131k

+ Equity may be provided

SQL
Python
Spark
Senior and Expert level
Remote from Spain

More information about location

Affirm

POS installment loans

Open for applications

Affirm

POS installment loans

1001+ employees

FintechB2CPersonal financePaymentsSaaS

Open for applications

€101-131k

+ Equity may be provided

SQL
Python
Spark
Senior and Expert level
Remote from Spain

More information about location

1001+ employees

FintechB2CPersonal financePaymentsSaaS

Company mission

To deliver honest and transparent financial products that improve users' lives.

Role

Who you are

  • Extensive experience (8+ years) in machine learning engineering, with at least 2 years in a management role
  • Expertise in developing machine learning models and systems at scale, from concept through to business impact
  • Proficiency in machine learning techniques, including Generalized Linear Models, Gradient Boosting, Deep Learning, and Probabilistic Calibration
  • Strong engineering skills in Python and SQL, with experience in large-scale distributed systems such as Spark or Ray
  • Passion for working with cross-functional teams including Product, Design, Analytics and Business teams
  • Expert at synthesizing complex business, product, and technical requirements to consistently produce high quality system designs and software
  • Track record of hiring, mentoring, coaching, and developing diverse engineering talent
  • Comfortability with ambiguity and self-awareness to understand and navigate the unknown
  • Demonstrated experience in building and scaling platforms and distributed systems that require high availability, resilience and meeting stringent SLO objectives is required
  • Excellent written and verbal English communication skills
  • Experience with Fintech and Retail industries is a plus

What the job involves

  • We’re looking for an Engineering Manager to lead a team of skilled Machine Learning Engineers in advancing our underwriting models
  • The successful candidate will align team efforts with company objectives, focusing on developing and deploying high-quality, production-ready machine learning models
  • They will lead the team in creating innovative solutions that support our financial and business goals
  • Collaborate with Product managers, cross functional engineering teams, designers and analysts to define product roadmap and execute on plan to build practical technology capabilities needed to realize the vision. Drive clarity from ambiguity to aid faster decisions grounded on principles
  • Drive planning, resource allocations, trade-offs and prioritization conversations with business and technical stakeholders to define epics in Jira and manage the quality of deliverables all the way to production
  • Collaborate with product and platform teams to set strategic priorities and roadmaps for machine learning projects that enhance our credit assessment capabilities
  • Participate in quarterly planning and work closely with peers and teams to remove impediments, articulate tradeoffs and garner resources
  • Build the best team - Grow globally minded teams by attracting and hiring diverse talent and build a strong leadership bench. Provide tailored coaching, feedback and mentoring for Engineers and inspire a team of full stack engineers
  • Hire, coach, and mentor employees to increase their impact through regular performance development and feedback conversations
  • Foster a respectful and supportive environment for all team members that effectively leverages the diversity of the team
  • On-Call Rotation - There would be an on-call rotation for this role as a requirement

Share this job

View 109 more jobs at Affirm

Insights

Top investors

-11% employee growth in 12 months

Company

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

Funding (last 2 of 5 rounds)

Sep 2020

$500m

SERIES G

Apr 2019

$300m

SERIES F

Total funding: $1.1bn

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.

Boasting over 21M consumers and 337,000+ 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 headshot

Kirsty

Company Specialist at Welcome to the Jungle