Checkr
Revenue Operations Manager - Post Sales
San Francisco, California, United States
Sponsorship not specified$161k-$189kDetected 18 hours ago
SQLData VisualizationSalesforceSalesAccount ManagementForecastingCustomer SuccessCadenceLeadershipCommunicationCollaboration
About the role
- 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.
- Working closely with Sales Ops, Analytics, Enablement, and RevOps Technologies, you'll help turn post-sales strategy into repeatable process, directly shaping Checkr's net revenue retention as the business scales.
Responsibilities
- Own the quota-setting process for CS and AM, partnering with finance and revenue leadership to align targets and capacity
- Build and run the renewal and expansion forecasting process, delivering accurate, defensible numbers for weekly pipeline and business reviews
- Serve as a trusted operating partner to Customer Success and Account Management leadership, defining and tracking the goals, metrics, and processes that scale the post-sales business
- Drive cross-functional alignment with Sales Ops, Analytics, Finance, Marketing, and Support to improve post-sales workflows and remove friction from the customer journey
- Lead executive-level analyses and materials, including board updates and quarterly business reviews, that translate post-sales performance into a clear narrative for stakeholders
- 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.
- At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection.
- 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.
Requirements
- An incredible attention to detail and ability to see processes through end-to-end.
- A track record of driving cross-functional initiatives independently, from scoping through implementation, across sales, CS, finance, and product stakeholders
- Understanding of key Customer Success concepts, metrics, and processes / best practices.
- Proven experience owning territory design, quota setting, and forecasting processes for a revenue-generating team.
- Strong analytical and modeling skills, with fluency in Salesforce and BI tools such as Looker, Tableau, or Omni; SQL proficiency a plus
- Excellent communication skills and the judgment to translate complex data into a clear, compelling narrative for senior stakeholders
Nice to have
- 6+ years of experience in revenue operations, sales operations, or business operations, with direct exposure to post-sales, customer success, or account management preferred.
- SQL proficiency a plus
- Strong analytical and modeling skills, with fluency in Salesforce and BI tools such as Looker, Tableau, or Omni
Skills
- Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.
Compensation
- For more information on our compensation philosophy, see our website.
- OR Base Salary range (San Francisco, CA)
- $161,000 - $189,000 USD
Benefits
- 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
- 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.
Company info
- 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.
This listing is sourced directly from Checkr's careers page and normalized into a canonical job model.