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 Days

One 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.

About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer.