What You'll Do • 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 — so that market signals flow into research prioritization and research breakthroughs flow into product planning • Interpret evaluation results and research findings to identify which emerging capabilities have the highest product and commercial leverage — and make bets accordingly • Build prototypes yourself to validate product ideas before committing engineering resources — using the models directly to test hypotheses about what's possible and what customers will value • Define the product implications of research advances in multimodal understanding, generation, tool use, and agent capabilities — translating "the model can now do X" into "customers can now solve Y" • Partner with the Agent PM and Enterprise PM to ensure research priorities align with the capabilities that enterprise products and customer deployments actually need • Drive the cadence and process for research-to-product handoffs — defining what "ready to ship" means, managing the transition from research prototype to production feature, and owning the quality bar . Who You Are • 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 • You are genuinely comfortable in a research environment — you can read evaluations, understand what they mean, ask the right questions, and help researchers see the product implications of their work • You've shipped products that originated in research — not just optimized existing products, but taken emergent capabilities and turned them into new product surfaces • You can build prototypes yourself — you have the technical depth to work directly with models, write prompts, test hypotheses, and validate ideas before involving a full engineering team • You operate with extremely high agency and a strong self-starter mentality — research environments are inherently ambiguous and this role has no existing playbook • You have a general manager mindset — you can evaluate research directions not just for technical novelty but for commercial viability and customer impact • You bring a mix of large-company and earlier-stage experience — you understand both the pace of a research lab and the urgency of a startup building a commercial business • You can influence without authority — researchers don't report to you, but your input on priorities needs to carry weight because it's well-informed and well-reasoned .