Engineering Manager, Mortgage

<div class="content-intro"><p><span style="font-weight: 400;"><strong>About Checkr<br></strong></span>Checkr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, and Anthropic.<br><br>We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on <a href="https://www.forbes.com/lists/cloud100/" target="_blank">Forbes Cloud 100 2025 List</a> and is a Y Combinator 2024 <a href="https://www.ycombinator.com/blog/yc-top-companies-2024">Breakthrough Company</a>.</p></div><h2><strong>About the role</strong></h2> <p>Checkr’s Mortgage Verifications team builds the systems lenders use to verify income and employment for millions of mortgage applicants a year - work that sits at the intersection of consumer data, regulated financial decisions, and ML/AI-driven automation. We're mid-flight on a major evolution of our verification products, and next-generation prediction models for verification outcomes.</p> <p>As Engineering Manager, you'll lead a team of ~8 engineers building this platform end-to-end - from the APIs and Integrations core to the platform, to the AI/ML models that power verification decisions to the customer-facing product experience. You'll report into Mortgage engineering leadership with direct visibility to the executive leadership team, and you'll partner closely with the product team to shape what ships next. The decisions this team makes affect real people's ability to get a mortgage - the stakes and the scale are real, and so is the room to make an impact fast.</p> <p><strong>&nbsp;</strong></p> <h2><strong>What you'll do</strong></h2> <ul> <li>Own delivery and technical direction for the Mortgage Verifications team as we scale our self-serve verification product through its next launch phases</li> <li>Drive team-level AI adoption - not just personal tool use, but rollout with real guardrails, baselines, and a measured effect on how the team ships</li> <li>Co-own product direction with your PM partner: shape the problem, create alignment where warranted, and don't just execute a handed-off spec</li> <li>Lead the team through platform modernization while shipping new features in a highly regulated, high-stakes domain</li> <li>Manage production incidents as both technical lead and communication lead, in a system where downtime has real business and consumer impact</li> <li>Grow your enginee