GTM Systems Manager

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, Open Evidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital.

Join us and help build the platform engineers turn to to ship AI products.

Baseten's GTM org is in hyper growth. As it grows and matures, the needs of the GTM stack get more sophisticated with scale — and this team exists to stay ahead of those needs.

This role owns a core set of the platforms the field runs on. You'll administer, configure, and continuously improve them, build AI and automation on top of the CRM to keep it clean and current, and run the adoption programs that make sure the field actually uses what we put in front of them. We're an AI-native company scaling fast, and we want to add sophistication without adding drag — you'll be the person deciding how much system is enough.

This isn't a classic Salesforce admin role. You know the ecosystem, but you come at it as a builder and an orchestrator, not a ticket-taker.

Central Rev Ops is the systems and operations center of excellence for Baseten's GTM org. The stack includes Salesforce, Pylon, Outreach, Sales Navigator, Clay, and a growing set of AI-native GTM tools. The field is scaling fast, and the systems need to mature with it without slowing anyone down.

You'll co-own Salesforce with our other GTM Systems Manager and work alongside a GTM Engineering team who builds internal AI products for GTM productivity — plus partner closely with sales leadership and the field.

• Own adminship, configuration, and enablement for Pylon, Gong, Sales Navigator, Outreach, and Prospect. These platforms are yours end-to-end — configured well, enabled with the field, and continuously improved as needs grow.
• Run adoption, license forecasting, and vendor management for each of those systems. Own the adoption programs that get the field using them, forecast license needs ahead of growth, and manage the vendor relationships and renewals.
• Co-own Salesforce. Partner with our other GTM Systems Manager to keep the CRM configured for how sales actually runs, and act as backup for Deal Operations processes.
• Build AI and automation on top of the CRM. Stand up agents and automations that update and maintain the CRM — keeping data clean, current, and trustworthy without adding manual work.
• Drive adoption, not just deployment. Document what you build, enable the field, and measure success by whether people actually use it.
• Right-size the process. Add just enough structure to scale the company without slowing the field down. Have a point of view on where process helps and where it just gets in the way.

• 4+ years in GTM systems, Rev Ops, or sales/business systems — owning platforms and process end-to-end
• Experience building AI and automation on top of a CRM — you've built agents or automations that update and maintain CRM data, not just configured fields
• Hands-on adminship and configuration experience across a multi-tool GTM stack (support ops, engagement, prospecting, and enrichment tools)
• Working knowledge of the Salesforce ecosystem and data model — enough to co-own the CRM — without wanting to be a career admin
• A real appetite for enablement — you care whether the field uses what you build, and you'll run the adoption programs to make sure it does
• Experience owning vendor relationships, renewals, and license planning
• Judgment on process — you can tell structure that helps the field from structure that slows it down, and you right-size accordingly
• Experience in high-growth B2B technology companies, ideally scaling systems as the field grows fast

• Fluency with AI and automation tooling (Claude, Clay, n8n, or similar) as a builder, not just a user
• Familiarity with a data warehouse and BI environment (Sigma, Hex, Big Query, Snowflake) on the data layer
• Hands-on…