About this role
About Checkr 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, Amazon, and Anthropic.
We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company .
Checkr is looking for a Senior Engineering Manager to lead the People Data team. This team is responsible for the core data at Checkr: ingesting, storing, and processing billions of records. As the Senior Engineering Manager for this team, you will be responsible for shaping the technical strategy and overseeing project delivery. The projects you’ll be working on are high-impact and at scale: you’ll be advancing our architecture and systems to lead Checkr into the next generation of product offerings. The decisions you make will impact millions of people every year, and help businesses make fast, informed, and safe decisions.
What you’ll do:
• Drive a motivating technical vision for the team
• Partner closely with product management to solve business problems
• Work with the team to build a world-class architecture that can scale into the next phase of Checkr’s growth
• Hire the best talent and continue to raise the bar for the team
• Represent the team in planning and product meetings
• Optimize engineering processes and policies to drive velocity and quality
What you bring:
• 5+ years as an engineering manager and 5+ years as an engineer
• Exceptional verbal and written communication skills
• Unparalleled bar for quality and operational excellence
• Experience working on big data products at scale
• AI first mindset
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.
• Experience designing and maintaining:
• Real-time & batch processing data pipelines serving up billions of data points
• Normalizing and cleansing data across a medallion lakehouse architecture
• Systems that rely on high-volume, low-latency messaging infrastructure (e.g. Kafka or similar)
• Highly tolerant production systems with streamlined operations (data lineage, logging, telemetry, alerting, etc.)
• Familiarity with Cloud / big data tooling: AWA EMR, Databricks, Spark etc.
• Familiarity with DevOps (including Infrastructure as Code, CI/CD, containerization, etc.)
• Familiarity with developing APIs and backend microservices
• Compliance and regulatory landscape understanding
• Exposure to working in the identity space
#LI-TD1 Pay Transparency Disclosure
We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where