The ad says“Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions”
The ad says“Strong experience building and scaling backend products”
The ad says“Demonstrated success in building and maintaining production systems that serve and support ML models, both in online and offline settings - as well as working closely with data science or ML teams”
The ad says“Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions”
The ad says“Demonstrated success in building and maintaining production systems that serve and support ML models, both in online and offline settings - as well as working closely with data science or ML teams”
The ad says“Experience collaborating with cross-functional stakeholders and with teams and leaders across the engineering function”
The ad says“Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions”
The Credit Decisioning platform team is responsible for building best-in-class cashflow based insights products that enable lenders to make more holistic lending decisions and empower broader access to Credit products for prospective borrowers
We own the systems and tooling that form the platform to build and serve these insights at huge scale, partnering with our Data partners to release new products yearly
You will be defining the future architecture of Credit insights products and executing against an ambitious product roadmap
You will partner with our Product, Data Science, and Machine Learning team to iterate on and productionize new insights that enable our customers to make more holistic lending decisions
Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training
Scaling and evolving the architecture through an expected ~100x increase in load from deterministic factors
Collaborating closely with Product, Data Science, and Machine Learning partners to develop and scale insights products that enable Credit underwriting use cases
Mentoring engineers and contributing to a strong, inclusive team culture
Benefits
Vibrant offices in SF, NYC, and Raleigh-Durham—with catered meals, happy hours, and clubs to keep you connected
Competitive pay, comprehensive health benefits, and support for fertility, mental health, and parental leave
Lifestyle perks including home office stipends, daycare support, and commuting benefits like CitiBike and Lyft
Preferred experience
[nice-to-have] Experience working in the credit or lending space
Strong experience building and scaling backend products
Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions
Demonstrated success in building and maintaining production systems that serve and support ML models, both in online and offline settings - as well as working closely with data science or ML teams
Experience collaborating with cross-functional stakeholders and with teams and leaders across the engineering function
