Finance jobs in San Francisco, CA

About the role

We're hiring a Revenue Insights Manager to own the numbers that run Exa's GTM engine. You'll build the analytics and insights layer for GTM from the ground up: the metrics definitions everyone trusts, the dashboards that turn data into decisions, and the data models underneath them. You'll partner with Data Engineering on infrastructure while owning how Salesforce, Clickhouse, Hubspot and Gong data get shaped into GTM reporting. You'll also own the data-driven cadences across the org, areas like weekly pipeline review, forecast call, QBR prep, and board reporting inputs, all which makes you the person who surfaces where the business is off-plan and why, in front of the CRO, VP Sales, and founders. This is the first Insights hire at Exa. In your first year you'll stand up the metrics dictionary, the forecast and capacity models, and the reporting stack that the next several years of GTM decisions get made on.

What you'll bring

• 6+ years in revenue analytics, GTM or sales strategy, business intelligence, or finance at high-growth B2B technology companies, with clear ownership of recurring revenue reporting.
• Advanced modeling ability: capacity models, funnel models, quota and attainment mechanics, scenario analysis.
• Auditable structure, not heroic single-cell formulas.
• Deep familiarity with the Salesforce data model and the ways CRM hygiene distorts analysis.
• You know where the data is wrong before you publish.
• Command of consumption revenue metrics, including the definitional edge cases in NDR, cohort windows, and ARR basis — and the ability to explain them plainly to a non-technical audience.
• Executive communication that lands: the recommendation, the confidence in it, and the caveats stated up front instead of buried on slide fourteen.
• Intellectual honesty about uncertainty.
• You flag what the data cannot yet support rather than extrapolating past it.
• Comfort in a fast-moving, small-team environment where you are the analytics function rather than a member of one.
• Experience producing board-level revenue materials, or supporting a fundraise or IPO-readiness process.
• Python or R for analysis beyond SQL, including cohort and propensity work.