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LU
Luma AI

Product Manager, Applied Research

LocationRedwood City, CA
Work modehybrid
Typefull-time
DepartmentProduct & Engineering
Company size11+ people
First seen2w ago
Last seen3d ago
About the role
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
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Own the product strategy for turning Luma’s frontier research into shippable features across Canvas, Agents, and the model platform.
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Work inside the research team to shape priorities against real enterprise needs in marketing, advertising, and entertainment.
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Establish and run the feedback loops between research, product, go-to-market, and forward-deployed teams.
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Interpret evaluations and research findings to identify the highest-leverage capabilities and make bets accordingly.
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Build prototypes yourself to validate ideas before committing engineering resources.
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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.
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Days 1–30 — Immerse & Diagnose: Get inside the research, the evals, and the enterprise needs, and map where the highest-leverage capabilities are.
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Days 30–60 — Ship & Validate: Stand up the research-to-product feedback loop and validate a prototype that proves commercial value.
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Days 60–90 — Scale & Systemize: Define “ready to ship” and run the cadence that turns research breakthroughs into product.
What You Bring
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Principal or Staff-level PM experience bridging research and product at an AI lab or applied AI company.
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Genuine comfort in a research environment: reading evals, understanding them, and asking the right questions.
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A track record shipping products that originated in research, not just optimizing existing ones.
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The technical depth to build prototypes yourself — work with models, write prompts, test hypotheses.
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Very high agency and a general-manager mindset weighing technical novelty against commercial impact.
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The ability to influence without authority.
Nice to Have
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Research PM, Applied Research PM, or Labs PM experience at a frontier AI company (Anthropic, OpenAI, Google DeepMind, Meta AI, Cohere, Mistral).
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Background in multimodal AI, and Python and SQL proficiency.
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Experience defining evaluation frameworks and quality bars for shipping research into production.
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Founder-type background, and domain exposure in marketing, advertising, or entertainment.
About the company
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.
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