We are building AI to simulate the world through merging art and science.

We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world.

World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached.

Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.

About the role

Open to hiring remote across the US. We also have offices in NYC, San Francisco and Seattle.

This is the builder seat on the revenue team. You'll spend your time with sellers (BDRs, AEs and account managers), learning where the motion breaks. Then you'll fix it with software: signals, scoring, routing, agents and the CRM underneath. In practice you're also our RevOps lead, so you own the systems that turn product usage into pipeline and pipeline into closed-won.

At Runway, a GTM Engineer understands the rep's day as well as the stack. You know why a lead should be worked now, which account deserves an AE's afternoon, and what gets a rep to actually open a tool. Then you build it with Clay, SQL, APIs and agentic workflows, where a traditional ops hire would file a ticket or buy another tool. We care more about what you've shipped and the behavior it changed than about the title you held.

What you'll do

Signal, scoring & pipeline

• Design our account and lead scoring model, with Fit, Intent and Engagement as separate inputs, and keep it honest against conversion data

• Build the PLG-to-Enterprise signal layer: product usage, web and third-party intent feeding a prioritized BDR/AE queue, with routing and SLAs reps trust

• Turn every signal into a reason to reach out (why this account, why now, why this person), packaged so a rep can act in minutes

• Own Clay enrichment and outbound data infrastructure, and raise BDR output at the systems level

• Spot patterns in what converts (segments, use cases, messaging, timing) and bring them to Sales, Marketing and Product

Seller workflow & agents

• Sit with frontline sellers to find where the motion breaks, then ship the fix within two weeks