Job Description

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.

We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world.

Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.

About the role:

We’re looking for a Revenue Operations Data Analyst to join our fast-moving RevOps team. You’ll be responsible for helping drive data-driven decision-making across Sales, Marketing, and Customer Success by providing actionable insights and building scalable reporting infrastructure.

This role is ideal for candidates with 2–5 years of experience and will report directly to the Director of Revenue Analytics, ideal for someone who is passionate about solving business problems with data, thrives in fast-paced environments, and wants to grow within a high-performing Revenue Operations team.

Location: Remote within the U.S., with a preference for candidates based in the San Francisco Bay Area.

Responsibilities: 

1. GTM Data Analysis & Reporting
2. Analyze key GTM metrics across pipeline, bookings, and customer lifecycle stages
3. Develop, automate, and maintain reporting in Salesforce, Looker Studio, Google Sheets, and Excel
4. Translate data into business insights that influence strategy and performance
5. GTM Compensation Plan Design & Administration
6. Prepare and distribute compensation-related documents, such as commission statements and incentive plan updates
7. Ensure accurate calculation and distribution of commissions in line with sales agreements and performance metrics
8. Assist in troubleshooting commission-related issues and provide guidance to employees and managers
9. Data Quality & Systems Monitoring
10. Ensure accuracy and consistency of data across Salesforce and other RevOps systems
11. Identify, investigate, and resolve data quality issues that impact reporting
12. Strategic Support for Revenue Leadership
13. Collaborate with Sales, Marketing, and CS teams to support recurring QBRs and ad hoc strategic initiatives
14. Provide analytical support for goal tracking, territory reviews, and performance deep-dives
15. Process Documentation & Optimization
16. Document recurring reporting workflows and build scalable data processes
17. Help identify automation opportunities to streamline operational efficiency
18. Collaboration Across the Business
19. Ensure alignment on GTM KPIs and definitions
20. Contribute to a shared data culture by promoting transparency, consistency, and accuracy

Qualifications We Value: 

1. 2–5 years in data analysis, business intelligence, or GTM operations roles in SaaS or startup environments
2. Advanced Excel/Google Sheets skills (pivot tables, lookups, conditional logic)
3. Experience working with Salesforce CRM (reporting, data model understanding, etc.)
4. Familiarity with BI tools such as Looker Studio, Tableau, or Power BI
5. Strong analytical skills, attention to detail, and data quality ownership
6. Clear communicator with the ability to collaborate cross-functionally
7. Eagerness to learn, grow, and take on new challenges in a high-growth environment

Nice to Haves

1. Prior experience in a Revenue Operations, Sales Operations, or GTM Analytics team
2. CaptivateIQ or other Compensation system experience
3. Familiarity with SQL or interest in learning it
4. Understanding of GTM metrics like pipeline coverage, conversion rates, NRR, GRR, win rates, etc.
5. Experience with modern RevOps tools and practices

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [email protected]