--- title: 'GTM Engineer at Runway' canonical: 'https://feeny.ai/job/gtm-engineer-runway-new-york-jdkk0tqwv9tq' type: 'job' last_seen: '2026-09-08' --- # GTM Engineer at Runway - **Company:** Runway - **Location:** New York, NY - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-09-01 - **Last confirmed live:** 2026-09-08 - **Apply:** https://jobs.ashbyhq.com/runway-ml/3151fb5d-f216-4012-8e3d-23473ec11142 ## Job description 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 revenue org's engineering seat and, in practice, its RevOps lead: you own CRM, enrichment tools, the signal layer, the agent fleet, and every automation that moves a record from product usage to closed-won. You write the code and create the tooling that scales productivity-per-FTE across the GTM team. GTM Engineer means you solve operations problems with software - Python, SQL, APIs, and agentic workflows - where a traditional ops hire would file a ticket or buy another tool. This is a build role - to redesign and implement from the ground up. You treat GTM as a product that delights both our internal teams and our customers. ## WHAT YOU’LL DO ## REVENUE SYSTEMS & DATA INFRASTRUCTURE - Own the commercial object model - routing, territories, approvals - as the schema every downstream system and agent reads from - Turn Salesforce from where reps type into where agents reconcile state, with reps inspecting and approving - Connect the stack (Salesforce, Gong, Clay, product usage, the warehouse) through APIs and webhooks so an account looks the same in every system - Build the reporting layer under the CRO dashboard: pipeline coverage, conversion rates, ramp velocity, forecast accuracy - Run it all like production infrastructure - observability, error handling, and data-quality validation - so systems get debugged, not ticketed ## AGENTIC WORKFLOW ENGINEERING - Build and run the GTM agent fleet from prototype through daily production use, instrumented so decisions, failures, human edits, and downstream outcomes are visible - you own the improvement loop of evals, experiments, and iteration - Build the PLG-to-Enterprise signal layer: product usage into intent scoring into the BDR/AE routing queue - Own the Clay enrichment and outbound data infrastructure; raise BDR output at the systems level ## FULL-FUNNEL AUTOMATION - Surface the right account context to reps at the right moment: before QBRs, ahead of renewals, when an expansion signal fires - Build churn-risk and expansion detection with Deployment and CX so the post-sale motion runs on live signals - Automate deal desk mechanics: quote workflows and discount approval routing, with pricing guardrails enforced in-system - Sit with frontline sellers to find where the motion breaks, then ship the fix inside two weeks ## MEASUREMENT & ITERATION - Own every build end to end: discovery, prototype, rollout, adoption, iteration - Measure adoption and revenue impact of everything you ship; kill what nobody uses - Bring the VP build-vs-buy recommendations backed by working prototypes - Feed field evidence to Product so enterprise signals reach roadmap decisions ## WHAT YOU’LL NEED - 6+ years across RevOps, GTM engineering, sales ops, or an adjacent applied technical discipline, with at least 3 years in RevOps or GTM engineering - Builds you can demo: Salesforce connected to adjacent GTM systems, enrichment pipelines, routing logic, agent workflows in production - Experience with data warehouses, BI tools, or event-driven systems - Clay proficiency strongly preferred; without it, show us you can get dangerous in it during the interview process - Familiarity with enterprise sales motions at $100K to $2M ACV - Analytics engineering, finance or data science background is a plus Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. ## WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024 ## About Runway ## Company Overview - **One-liner**: Runway builds artificial intelligence to simulate the world, focusing on general world models for video generation, robotics, and interactive experiences. - **Entity Type**: Private (Corporate Minority funding stage; total raised $859.5M) - **Headquarters**: New York, New York, United States (79 Walker Street, Floor 5) - **Founded**: 2018 - **Founders**: Not publicly listed on provided sources (widely reported as Cristóbal Valenzuela, Anastasis Germanidis, and Alejandro Matamala) ## Core Business - **Primary industry/industries**: Artificial Intelligence, Video Generation, World Simulation, Robotics - **Target customers**: B2B – media & entertainment, film production, architecture, robotics research; also creative professionals and enterprises - **Mission or purpose statement**: "Building AI to simulate the world through merging art and science." – Runway believes world models are the path to general-purpose simulation, enabling progress in robotics, disease research, and scientific discovery. ## Products & Services - **[Gen-4.5](https://runwayml.com/)**: World's top-rated video generation model – cinematic, highly realistic outputs with precise creative control (SaaS / API). - **[GWM-1](https://runwayml.com/)**: State-of-the-art General World Model for real-time simulation. Three variants: - **GWM Worlds**: Interactive, explorable environments. - **GWM Avatars**: Real-time conversational video agents (API) – customizable appearance, voice, personality, knowledge, and actions. - **GWM Robotics**: Learned world models for robotic manipulation and physical interaction simulation. - **Runway Studios**: Production arm exploring AI integration in film (announced partnership with Lionsgate). ## Market Standing - **Valuation/Market Cap**: Not disclosed (private company) - **Key Metric**: Total funding raised – $859.5M (as of latest Corporate Minority round) - **Notable Investors/Partners**: NVIDIA (strategic partnership on Vera Rubin architecture), Lionsgate (film production partnership), General Atlantic, Felicis, Fidelity Investments, and 36+ others. - **Growth Signals**: - Partnership with NVIDIA to accelerate video and world models. - Partnership with Lionsgate to explore AI in film production. - Gen-4.5 recognized as top-rated video model. - Launch of GWM-1 (three variants) expanding into robotics and conversational AI. - Used by leading organizations across industries (e.g., architecture firm KPF). ## Competitive Advantages - **General World Models (GWM-1)**: Unlike pure language models, Runway builds models that understand, perceive, generate, and act in the world – a clear moat for simulation and robotics. - **Real-time interactivity**: GWM Worlds and Avatars enable real-time, controllable simulation and conversation, differentiating from static video generation. - **Full-stack AI platform**: From video generation (Gen-4.5) to world simulation (GWM-1) to production studios, Runway covers the entire creative-to-simulation pipeline. - **Strong research culture**: Long-term research effort to build AI systems that understand visual world dynamics. ## Strategic Focus - Continue advancing General World Models for universal simulation. - Expand partnerships in entertainment (Lionsgate), robotics (NVIDIA), and architecture (KPF). - Grow the platform’s adoption across industries requiring simulation, creative content, and autonomous agents. - Scale the team globally (offices in New York, San Francisco, Seattle, London, Tel Aviv, Tokyo) with remote flexibility. ## Why Work Here - **Culture**: "Creative, open minded, caring and ambitious people determined to change the world." Merges art and science – ideal for researchers, engineers, artists, and designers. - **Remote/Hybrid**: Global remote team; offices in 6 cities. Employees outside 10-mile commuting distance can expense co-working, internet, phone, and lunches (up to $250/month); within commuting distance get $50/month phone reimbursement. - **Benefits**: - 100% medical, dental, vision coverage for US employees and dependents (plus mental health and One Medical membership). - Unlimited PTO (recommended min 15 days) + paid sabbatical at 3, 5, and 7 years. - 16 weeks fully paid parental leave (all parents) with gradual return-to-work plan. - 3% 401k match (US employees). - $600 annual wellness stipend; $600 annual learning stipend; $500 tech setup stipend. - Annual travel budget for in-person collaboration, conferences, and company events. - Quarterly community donation program. - **Recognition**: Best Places to Work NYC (2022–2024), Inc. Best Workplaces (2023), Built In Inclusive Workplace (2022, 2023), Crain’s Best Companies Group. ## Sources 1. [runwayml.com](https://runwayml.com/) 2. [Runway Careers](https://runwayml.com/careers) 3. [Runway About](https://runwayml.com/about) 4. [CB Insights – Runway Profile](https://www.cbinsights.com/company/runwayml) 5. [Greenhouse Job Board](http://job-boards.greenhouse.io/runwayml) ## Other roles at Runway - [Staff Product Engineer](https://feeny.ai/job/staff-product-engineer-runway-remote-6gjcn3hdv73n) - [AI Engagement Manager](https://feeny.ai/job/ai-engagement-manager-runway-new-york-32ey04cnrtfw) — New York, NY - [Designer, Growth Marketing](https://feeny.ai/job/designer-growth-marketing-runway-remote-0adaz4fxnnxf) - [Senior IT Engineer - London](https://feeny.ai/job/senior-it-engineer-london-runway-remote-snx60a3nt0d6) - [Consumer Support Specialist - US](https://feeny.ai/job/consumer-support-specialist-us-runway-remote-r4vvtzpx45t9) - [Lifecycle Marketing Manager](https://feeny.ai/job/lifecycle-marketing-manager-runway-remote-xm9r5g2akcqa) - [Youtube Creator & Educator](https://feeny.ai/job/youtube-creator-educator-runway-new-york-xc08q7kvypk0) — New York, NY - [Growth Marketing Manager, Paid Channels](https://feeny.ai/job/growth-marketing-manager-paid-channels-runway-remote-7ccmdnj10j8q) - [Social Media Specialist, Influencer Marketing](https://feeny.ai/job/social-media-specialist-influencer-marketing-runway-remote-mj327a35j3wy) - [Sr./Staff Product Designer, Growth](https://feeny.ai/job/sr-staff-product-designer-growth-runway-remote-2xvbsz1setc9)