GTM AI Operations Lead, Replit

• 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

Desirable

• 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
• 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