You'll own the bridge between Luma's frontier research and its products - Canvas, Agents, and the model platform - making sure what researchers build is shaped by what customers need, and what ships takes full advantage of what research makes possible.
This is a principal-level PM role inside the research process, not downstream of it: you'll read papers, interpret evals, build prototypes yourself, and call which research directions have the most commercial leverage. It requires someone who can genuinely operate in a research environment and influence without authority. If you need a defined playbook or can't read an eval, this won't work.
What You'll Own- Own the product strategy for turning Luma's frontier research into shippable features across Canvas, Agents, and the model platform.
- Work inside the research team to shape priorities against real enterprise needs in marketing, advertising, and entertainment.
- Establish and run the feedback loops between research, product, go-to-market, and forward-deployed teams.
- Interpret evaluations and research findings to identify the highest-leverage capabilities and make bets accordingly.
- Build prototypes yourself to validate ideas before committing engineering resources.
- Translate "the model can now do X" into "customers can now solve Y," and own the research-to-product handoff and quality bar.
First 90 DaysOne way the first 90 could unfold.
- Days 1-30 - Immerse & Diagnose: Get inside the research, the evals, and the enterprise needs, and map where the highest-leverage capabilities are.
- Days 30-60 - Ship & Validate: Stand up the research-to-product feedback loop and validate a prototype that proves commercial value.
- Days 60-90 - Scale & Systemize: Define "ready to ship" and run the cadence that turns research breakthroughs into product.
What You Bring- Principal or Staff-level PM experience bridging research and product at an AI lab or applied AI company.
- Genuine comfort in a research environment: reading evals, understanding them, and asking the right questions.
- A track record shipping products that originated in research, not just optimizing existing ones.
- The technical depth to build prototypes yourself - work with models, write prompts, test hypotheses.
- Very high agency and a general-manager mindset weighing technical novelty against commercial impact.
- The ability to influence without authority.
Nice to Have- Research PM, Applied Research PM, or Labs PM experience at a frontier AI company (Anthropic, OpenAI, Google DeepMind, Meta AI, Cohere, Mistral).
- Background in multimodal AI, and Python and SQL proficiency.
- Experience defining evaluation frameworks and quality bars for shipping research into production.
- Founder-type background, and domain exposure in marketing, advertising, or entertainment.
