Senior Manager Data Science, Revenue & Growth
Company: Checkr
Location: San Francisco
Posted on: April 5, 2026
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Job Description:
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 LI-TD1 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 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 ).
Keywords: Checkr, Sacramento , Senior Manager Data Science, Revenue & Growth, IT / Software / Systems , San Francisco, California
