About the job
We're hiring a GTM AI Operations Lead, Sales to own how AI and automation accelerate our GTM motion. This is a builder role for someone who is equal parts operator and architect — comfortable in Salesforce and the GTM tech stack, fluent in how revenue teams actually work, and energized by designing AI-driven systems that compress manual effort and surface insight reps and leaders can act on. You'll sit at the center of how deals move: diagnosing where pipeline stalls, building the automations that keep it healthy, and turning our CRM and conversation data into leverage.
Responsibilities
- Design, build, and maintain AI-powered automations across the sales motion — from opportunity hygiene and stage progression to forecasting inputs and rep nudges.
- Own the systems that keep data clean and trustworthy, so that downstream reporting and AI outputs are reliable by default.
- Partner with sales leadership to identify bottlenecks and ship automation that addresses root causes, not symptoms.
- Integrate and orchestrate the GTM tech stack — Salesforce, conversation intelligence (e.g., Gong)— with AI agents and workflows layered on top.
- Build internal tooling and lightweight applications that put AI insight directly in front of reps and managers inside their existing workflow.
- Establish guardrails for safe, governed AI use against revenue data — including permissioning, read/write boundaries, and human-in-the-loop checkpoints.
- Translate ambiguous 'we should automate this' requests into scoped, measurable, and maintainable systems.
Qualifications
Minimum
- 5-7 years in Revenue Operations, Sales Operations, GTM Systems, or a closely related function, with meaningful time supporting an enterprise sales motion.
- Hands-on Salesforce expertise — you can build, debug, and reason about data models, automation, and permissions, not just navigate the UI.
- Demonstrated experience designing and shipping automations, ideally including LLM- or AI-driven workflows (agents, prompt-based tooling, or AI features embedded in GTM systems).
- Strong analytical rigor: you can pull and interrogate pipeline data, pressure-test your own conclusions, and communicate findings crisply.
- Comfort building — Whether that’s no/low-code automation platforms, or API integrations — enough to prototype without waiting on engineering.
- A bias toward systems that are maintainable and trustworthy over clever-but-fragile.
Preferred
- Experience standing up RevOps or GTM systems function from an early stage.
- Familiarity with conversation intelligence platforms and how to operationalize their data.
- Prior work integrating AI/LLM tooling with CRM data under read-only or tightly-scoped permissions.
- Background at a high-growth, AI-native, or developer-focused company.