Principal-level Product Manager bridging frontier multimodal AI research and product development at Luma. Owns research-to-product strategy, builds prototypes, interprets evaluations, and shapes priorities for Canvas, Agents, and model platform.
Salary not listed
HybridProduct Management
About the role
Responsibilities
Own the product strategy for translating Luma's frontier research capabilities into shippable features across Canvas, Agents, and the model platform
Work directly within the research team to shape priorities, ensuring model development and evaluation are informed by real enterprise needs in marketing, advertising, and entertainment
Establish and operate the feedback loops between research, product, go-to-market, and forward-deployed teams
Interpret evaluation results and research findings to identify which emerging capabilities have the highest product and commercial leverage
Build prototypes yourself to validate product ideas before committing engineering resources — using the models directly to test hypotheses
Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities
Partner with the Agent PM and Enterprise PM to ensure research priorities align with enterprise product needs
Drive the cadence and process for research-to-product handoffs
Requirements
Principal or Staff-level product management experience (L6 seniority or above) with a track record of bridging pure research and ambitious product development at an AI lab or applied AI company
Comfortable in a research environment — can read evaluations, understand what they mean, ask the right questions, and help researchers see the product implications of their work
Experience shipping products that originated in research — taken emergent capabilities and turned them into new product surfaces
Technical depth to build prototypes yourself — work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team
High agency and strong self-starter mentality — research environments are inherently ambiguous
General manager mindset — evaluate research directions for technical novelty, commercial viability, and customer impact
Mix of large-company and earlier-stage experience — understand both the pace of a research lab and the urgency of a startup
Ability to influence without authority
Nice-to-Haves
Experience as a Research PM, Applied Research PM, or Labs PM at a frontier AI company (Anthropic, OpenAI, Google DeepMind, Meta AI, Cohere, Mistral)
Background in multimodal AI — understand opportunities and challenges of models that work across vision, language, and generation
Python and SQL proficiency
Experience defining evaluation frameworks and quality bars for shipping research capabilities into production products
Founder-type experience or background
Domain exposure in marketing, advertising, entertainment, or related verticals
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