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Checkr is a data platform powering safe and fair decisions through AI verification. The company serves over 140,000 companies and millions of people across hiring, housing, transportation, childcare, and dating use cases. Customers include Uber, Pennymac, Airbnb, DoorDash, and Anthropic. Checkr is on the Forbes Cloud 100 2025 list and a Y Combinator 2024 Breakthrough Company.
The Mortgage Verifications team builds systems that lenders use to verify income and employment for millions of mortgage applicants annually. This work sits at the intersection of consumer data, regulated financial decisions, and ML/AI-driven automation. The team is mid-flight on a major evolution of verification products and next-generation prediction models.
As Engineering Manager, you will lead a team of approximately 8 engineers building this platform end-to-end: from APIs and integrations core to the platform, to AI/ML models powering verification decisions, to the customer-facing product experience. You will report to Mortgage engineering leadership with direct visibility to the executive team and partner closely with the product team to shape roadmap priorities. The decisions this team makes directly affect people's ability to obtain mortgages—the stakes and scale are significant.
Key responsibilities include: owning delivery and technical direction as the self-serve verification product scales through launch phases; driving team-level AI adoption with guardrails and measured impact; co-owning product direction with your PM partner; leading the team through platform modernization in a highly regulated domain; managing production incidents as both technical and communication lead; growing engineers' careers and building promotion cases; hiring senior and staff-level talent; and representing team priorities to product and executive stakeholders with data-backed impact claims.
You bring 4+ years as an engineering manager and 8+ years as an engineer. You have a concrete track record of rolling out AI adoption across teams with guardrails and measured baselines. You are quantitatively fluent and can explain methodologies behind business-impact claims. You have demonstrated co-ownership of product direction, shaping problems and disagreeing productively with Product teams. You have managed production incidents at scale in both technical and communication capacities. You have experience with regulated, high-stakes products (fintech, healthcare, identity) where data accuracy and compliance matter. You possess strong system design and architecture judgment, a track record of growing engineers and building inclusive teams, openness to feedback, and an A-player mindset with bias for action.
