Finance Business Partner – GTM
Encord
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About the role
Role overview
Encord is looking for a commercially sharp Finance Business Partner (GTM) to support the Go-to-Market (GTM) organisation. You will be the primary finance partner for Growth and Sales, owning planning and forecasting for GTM spend and building the analytical foundations that connect investment to pipeline, revenue, and long-run unit economics.
Responsibilities
- Own GTM financial planning end-to-end: run the annual budget process and monthly re-forecast cycles with bottom-up models linking spend to growth outcomes.
- Partner with senior GTM leaders (Heads of Growth and Sales and their teams) to explain performance, support trade-offs, and navigate ambiguity.
- Build and maintain unit economics frameworks, and make them the shared language of the GTM org:
- LTV/CAC, payback period, channel ROI, CPA models.
- Drive investment allocation rigour by challenging GTM spend proposals and surfacing efficiency opportunities across channels and segments.
- Deliver insightful actuals-vs-forecast analysis with narrative, including monthly variance analysis that explains the “so what,” identifies trends, and provides clear recommendations.
- Prepare executive materials and own the finance narrative in GTM performance reviews to drive decisions.
- Partner with Accounting to ensure accurate and timely cost recognition (accruals, reclassifications) and close the loop between plan, spend, and outcomes.
- Use modern tooling and AI/automation to accelerate analysis, reduce manual work, and build more dynamic models.
Requirements / What we’re looking for
- Real strategic influence with a direct line to the Heads of Growth and Sales and involvement in GTM strategy shaping.
- Ability to build GTM finance processes and frameworks from the ground up (no inherited playbook).
- Real breadth and depth in growth economics alongside strong commercial judgment.
Nice-to-haves
- Not explicitly stated in the provided text.
About Encord
Encord provides a universal data layer for AI teams, helping them train and run models on high-quality data. The platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. The company is backed by investors including Wellington Management, CRV, Next47, and Y Combinator.
Scraped 8/14/2026