Product Manager, Applied Research
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.
About the job
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
Skills
Python, SQL, Product Management, Research Evaluation, Prototyping, Multimodal Ai, Evaluation Frameworks, Ai Research, Model Development, Commercial Strategy
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