CheckrSenior Manager Data Science, Revenue & Growth
**About Checkr**Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.
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 on our self-serve SMB business through data science and experimentation.
The Revenue side of the role owns forecasting, revenue, and cost data models. These are the sources of truth for business metrics (upsell, churn, unit economics), as well as analytical support for pricing, packaging, and strategic finance.
The Growth side owns PLG data science for our SMB segment, which is material to our business and growing fast. We believe there is significant untapped upside in activation, conversion, and expansion. You will build and run the team that nails 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
- 3+ 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
- Based in San Francisco; comfortable with a hybrid in-office schedule (3 days/week)
- 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.
What you’ll get
- A fast-paced, low-bureaucracy environment where shipping matters more than process
- Direct exposure to executive and C-level decision-making
- A leadership seat on the Data & ML team shaping Checkr's AI strategy
- 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
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Pay Transparency Disclosure
One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. 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
At Checkr, we believe a hybrid 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 CheckrCheckr 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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