Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.

About the role:

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.

What You'll Do

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.

Required Skills & Experience

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.

Bonus Qualifications

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.

This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.

Full-Time Employee Benefits Include:

💰 Competitive Salary & Equity

💹 401(k) Program with a 4% match (US Only)

⚕️ Health, Dental, Vision and Life Insurance

🩼 Short Term and Long Term Disability

🚼 Paid Parental, Medical, Caregiver Leave

🏝 Flexible Time Off (FTO) + Holidays

🚗 Commuter Benefits (In-Office Only)

📱 Monthly Wellness Stipend

🧑‍💻 Autonomous Work Environment

🖥 In Office Set-Up Reimbursement (In-Office Only)

🚀 Quarterly Team Gatherings

☕ In Office Amenities (In-Office Only)

Want to learn more about what we are up to?

Interviewing + Culture at Replit

To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.