Product Manager, Applied Research

Luma • Redwood City, CA

20d • $225,000 - $325,000

About The Position

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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed