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Checkr is a data platform powering safe and fair decisions through AI verification. The company serves over 140,000 customers including Uber, Airbnb, DoorDash, and Anthropic, helping millions of people navigate critical moments like job applications, housing, and gig work. Checkr is recognized on the Forbes Cloud 100 2025 list and is a Y Combinator 2024 Breakthrough Company.
The Verifications team owns one of Checkr's most expansive product portfolios, including employment and education verifications, drug and occupational health screenings, reference checks, and right-to-work products. These products serve enterprise customers across diverse industries and regulatory environments, requiring rapid iteration and compliance expertise.
As Engineering Manager for Verifications, you will lead a team responsible for a broad surface area of screening products. Your focus will span both immediate system scalability and long-term delivery process refinement. Near-term priorities include scaling data quality and automation systems to handle rapid growth. Longer-term, you'll invest in expanding coverage and building a faster, more consistent verification experience.
Key responsibilities include: leading and growing the engineering team with attention to technical direction, performance, and career development; owning reliability and quality across a portfolio of fulfillment integrations; partnering with Product to define roadmap priorities across employment, education, drug/health, and compliance products; driving technical strategy for scaling complex, integration-heavy systems; leading adoption of AI-assisted development practices while maintaining quality standards; and representing Verifications in cross-functional planning with Product, Compliance, and Engineering leadership.
You bring 4+ years as an engineering manager with a track record of building high-performing teams, plus 8+ years as a software engineer with strong command of service architecture, distributed systems, and system design. You have experience managing complex third-party integration environments and a track record of improving operational metrics in high-stakes production environments. You're familiar with AI-assisted development tools and have worked on regulated products where data accuracy and compliance are critical. Strong incident management, prioritization, and cross-functional communication skills are essential, along with genuine investment in developing people.
