SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Baseten is a Series F AI infrastructure company ($1.5B valuation) that powers mission-critical inference for leading AI companies like Cursor, Notion, and Abridge. You'll join as a foundational hire on the GTM Strategy & Revenue Operations team, reporting to the CRO and Head of Revenue Operations.
In this role, you'll own multiple dimensions of revenue strategy and execution:
**GTM Planning & Market Intelligence:** Contribute to annual and quarterly GTM planning including headcount modeling, revenue target-setting, and quota frameworks. Build and maintain territory coverage models aligned to 2-year growth projections. Develop Baseten's market segmentation logic across industry, company profile, consumption potential, and AI maturity. Partner with Central Ops on ICP and TAM database strategy. Translate data into clear business narratives for leadership and field teams.
**Pipeline Generation & Forecasting:** Design and refine the pipeline generation model, including coverage ratios and qualified pipeline definitions. Support weekly forecast processes and build analytics dashboards that power GTM decision-making. Track actuals vs. model and surface gaps early to enable course-correction.
**Field Execution & Insights:** Partner with regional leaders to identify business gaps and develop structured improvement plans. Analyze pipeline health, win/loss trends, and rep productivity. Support execution optimization projects across the sales and post-sale journey. Close the loop between field reality and strategic planning.
**Experimentation & Scaling:** Design and execute structured experiments testing new GTM approaches—new segments, channels, or acquisition motions. Build measurement frameworks to evaluate what works and create paths to scale winning approaches.
You'll work in a fast-moving environment where the playbook is still being written. This is a rare opportunity to shape GTM strategy at one of the fastest-growing AI infrastructure companies during a critical scaling phase.
