Requirements
- 3–5 years experience in Revenue Operations, GTM Engineering, Finance, or other equivalent roles
- Hands-on Clay experience — you know how to build tables, manage enrichment strategy, think about credit efficiency, and translate data into targeting logic
- Fluency with AI-native GTM tools — Claude, Cursor, OpenAI, Dust, or equivalent; you're not a tourist in this space and can self-serve in these areas
- Consult on GTM Best Practices — Bring a consultant's lens to diagnosing GTM problems: structured thinking, clear outputs, and a bias toward recommendation over observation
- GTM strategist mindset — you've done growth, sales strategy, consulting, or RevOps and you bring structure and recommendations, not just reporting
- Strong data interpretation skills — you can look at funnel data, call out anomalies, and tell a story about what the numbers mean for the business
- Self-directed and high-output — you identify the gap and go after it; you don't need to be told what to do next
- Comfortable building from scratch — ambiguity doesn't slow you down
Nice to Have
- Experience with Salesforce or HubSpot
- SQL, Sigma, and Snowflake familiarity
- Background in B2B SaaS, ideally PLG or hybrid GTM models
Work Arrangement
Hybrid — San Francisco, California
