Aimed at senior engineering managers with big data experience who thrive in hybrid office settings in Denver or San Francisco.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Checkr via Greenhouse
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 we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website.
On-target Earnings OR Base Salary range (San Francisco, CA)$269,000—$316,000 USDOn-target Earnings OR Base Salary range (Denver, CO)$227,000—$267,000 USDWhat We Offer
A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation, and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.
Equal Employment Opportunities at Checkr
Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.
Applicant Privacy Policy
If you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.
*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).
Source: Checkr careers (Greenhouse)