Senior Manager Data Science, Revenue & Growth

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.

We're hiring a Senior Manager to lead two connected missions inside Checkr's Data & ML organization: (1) own the quantitative backbone of Checkr's revenue and financial data, and (2) accelerate growth, including self-serve SMB, product, pricing & packaging, etc., business through data science and experimentation.

This role owns the data science function that drives Checkr's growth across all levers: sales, product, planning, pricing, and packaging. That means forecasting and revenue models, cost and billing data products, unit economics, experimentation, activation and conversion analytics, and the quantitative inputs that shape how we package and price. These are the sources of truth our C-staff, Finance, and Product teams rely on to make decisions.

The mandate is broad on purpose. Growth at Checkr doesn't live in a single segment or motion; it spans self-serve SMB, enterprise expansion, and strategic finance. We believe there is significant untapped upside, and you will build and run the team that finds and captures it

This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Engineering, Product, RevOps, Marketing, Finance, and Executive teams. You'll also be a member of the Data & ML leadership team, which means you'll be directly involved in shaping Checkr's AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.

We are looking for someone based in San Francisco who has built and run data teams in fast-moving, impact-first environments. Less process, more shipping / less paperwork, more results.

What you'll do

• Build and run the team. Hire, develop, and retain a high-performing group of data scientists and analysts across Revenue and Growth; set clear expectations, coach directly, and create an environment where strong ICs do their best work.
• Own the revenue data layer. Drive the roadmap for financial data science: revenue forecasting models, cost and billing data products, reconciliation pipelines, and Exec dashboards that our C-staff and board rely on for planning and strategy.
• Accelerate SMB growth. Lead the PLG data science push: experimentation, activation, and conversion analytics, package and pricing optimization, and propensity models that move self-serve revenue.
• Partner with Finance and Growth leadership. Be the go-to quantitative thought leader for the CFO org and Product leadership team; translate complex modeling work into clear recommendations that shape our roadmaps.
• Ship AI-powered workflows. Put AI to work on your team's processes: automate analytical pipelines, build agentic workflows for recurring analyses, and contribute reusable skills and context to Checkr's agentic platform. The expectation is that our teams operate AI-first.
• Raise the technical bar. Set and enforce standards for modeling rigor, data quality, pipeline reliability, and production-readiness. Your team's outputs inform board-level financial decisions; accuracy and trust are the baseline.

What you bring

• A Bachelor's or Master's degree in a quantitative field (Statistics, CS, Economics, Math, Engineering) or equivalent depth from experience
• 10+ years in data science, analytics, or quantitative roles, with clear progression in scope and impact
• 4-7+ years of direct people management, with demonstrated ability to hire strong talent and develop ICs into high performers
• Deep SQL and Python fluency; hands-on experience with modern ELT/data transformation tools (dbt, Snowflake, or equivalent); working knowledge of ML and forecasting methods
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• Track record of building and executing a multi-quarter roadmap for a data science function, with clear line-of-sight to business outcomes
• Strong executive communication skills; you can present complex quantitative work to a C-level audience and leave the room with a decision, not a follow-up
• Experience applying data science to revenue, growth, or financial problems in B2B SaaS or a high-growth startup environment

#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)

$268,000-$315,000 USD

What 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.

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