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Sr​/Product Manager, Research Products

Job in Dallas, Dallas County, Texas, 75201, USA
Listing for: OpenKrill
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below
Position: Sr/Staff Product Manager, Research Products

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.

* Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers.

* Open to hiring remote across the US — we also have offices in NYC, San Francisco, and Seattle

This is a rare PM role with true vertical ownership across the full product lifecycle, from early-stage research and pre-training through post-training, UX buildout, GTM strategy, and pricing. It gives the right person a GM-like mandate to drive product decisions end-to-end, in a way that’s unique for a company of our scale.

We’re looking for a Product Manager to build the AI tools our customers will rely on. You have a real engineering or quantitative foundation and a track record of shipping products. You can take the state-of-the-art systems our research team builds and turn them into products that creators love.

You’ll deeply understand what users want, what’s technically possible, and what’s strategic for our business. You’ll be the bridge between our users and our internal teams, so we ship our models and products with the most value for Runway’s creators.

This role is a fundamental and critical part of the team at a market-defining company in its early stages.

What you’ll do
  • Own the product strategy and roadmap for your area, from early model development through launch, pricing, and go-to-market
  • Partner with research to shape what gets built, translating customer needs and model capabilities into clear product requirements and priorities
  • Work closely with engineering and design to ship new products and continuously improve existing ones, making sound technical tradeoffs along the way
  • Define and analyze product metrics, run A/B tests, and use data (including your own SQL and Python analysis) to validate pain points and prioritize features
  • Talk with users weekly to uncover use cases and turn feedback into product decisions
  • Drive pricing and GTM strategy in partnership with business teams
What you’ll need
  • 4+ years of product management experience, including taking products from zero to one
  • A strong technical foundation, typically demonstrated by things like the following:

    - A degree in a technical or quantitative field such as computer science, HCI, math, statistics, or physics
    - Professional experience writing code before the LLM codegen era (e.g., as a software engineer, data scientist, data analyst, or technical founder who built and bootstrapped a product)
  • Hands-on fluency with SQL, Python, AI code generation tools, and version control best practices
  • Working knowledge of current ML capabilities and products, and the ability to discuss tradeoffs with researchers and engineers
  • Experience in fast-moving teams, with comfort operating amid…
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