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.
At Returnly, we help brands that care about shopper loyalty offer better product returns. We are a financial technology services company that builds award-winning products that drive repurchase behavior and customer loyalty. Our headquarters are in San Francisco and we have offices in Chicago and Madrid. We are on a mission to de-risk online commerce and are building a team of amazingly talented people to help us do it.
Returnly has recently been acquired by Affirm, whose mission is to deliver honest financial products that improve lives. By building a new kind of payment network — one based on trust, transparency, and putting people first — Affirm empowers millions of consumers to spend and save responsibly and gives thousands of businesses the tools to fuel growth.
What you’ll do
- Build, grow and lead an inclusive, diverse, and distributed team of hardworking engineers and data scientists responsible for solving new and challenging problems around eCommerce payments, credit issuance and settlement, fraud detection and SaaS integration.
- Provide technical leadership in building foundational systems for model serving, monitoring and operations.
- Lead by example, care for your team and establish credibility with the quality of the team's technical execution.
- Lead multi-functional projects through close collaboration with multiple engineering, technical program management, analytics teams, and product managers on tools, architecture, planning, and delivery of multiple concurrent projects.
- Provide leadership and growth opportunities to your team members, develop talent, mentor engineers, recruit and represent Affirm’s hiring brand.
What we look for
- Minimum 2 years of experience leading a robust engineering team with a focus on data science and machine learning.
- Solid leadership,communication skills and driving inclusive discussions.
- Good experience in attracting, growing and retaining top engineering and data science talent.
- Strong stakeholder management skills with a deep interest in helping other teams tackle technical challenges by aligning strategic roadmaps where necessary.
- Experience working optimally with one or more engineering teams as a customer and engineering leaders.
- Extensive management or tech-lead experience building and owning highly scalable & resilient model serving pipelines, APIs and large-scale parallel processing inference systems.
- Proficiency in machine learning and operations research with experience in areas such as classification, function approximation and optimization.
- Strong programming skills in Python.
- Experience using Machine Learning frameworks such as scikit-learn, pandas, NumPy, xgboost, or PyTorch
- Strong experience with relational and non relational databases, including SQL
- Experience using large-scale distributed data processing systems like Spark
- Experience with Kubernetes, Docker, Kafka, Flink, and Airflow is a plus
- Experience with AWS and/or other cloud providers is a plus.
- Eager to learn new things and have a growth mindset.
- Well-developed interpersonal, written and verbal communication.
- BS, MS or PhD in Computer Science, Engineering or a related technical field.
Location - Remote Spain
#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.
All full-time jobs at Affirm (excluding interns and apprentices) are tied to a transparent grade-based pay range taking location into account.
[Colorado Candidates] In accordance with Colorado’s Equal Pay for Equal Work Act, the grade for this position in Colorado is listed above. You can find the Colorado base pay range and benefits here.
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 2021 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.
