You'll build Luma's enterprise products from the model up, turning frontier multimodal capabilities into solutions marketing, advertising, and entertainment customers will pay for and scale. You'll operate like a general manager, making P&L-driven calls rather than executing handed-down directives. This isn't inheriting a mature product to optimize. You'll define which customers and workflows to pursue, spend 30–40% of your time embedded with forward-deployed teams in live customer work, and build agentic products, not traditional SaaS. It needs a senior, highly autonomous PM who's genuinely AI-fluent. If you need scaffolding and clear directives, this won't fit. What You'll Own - Define product opportunities across enterprise segments — customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment. - Translate Luma's models, Canvas, Agents, and APIs into clear product definitions that serve real commercial customers. - Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams in a pod structure. - Partner directly with enterprise customers in meetings to validate opportunities and shape direction. - Bridge market signals back to research so model prioritization reflects real commercial needs. - Build agentic products that generate revenue now and scale, operating with a GM mindset on commercial viability. First 90 Days One way the first 90 could unfold. - Days 1–30 — Immerse & Diagnose: Learn the models, the enterprise verticals, and the highest-value workflows. - Days 30–60 — Ship & Validate: Define and validate an enterprise product opportunity in live customer work. - Days 60–90 — Scale & Systemize: Turn a bespoke win into a product that scales to more customers, with feedback loops to research. What You Bring - Staff or Principal-level PM experience building enterprise products in high-ambiguity environments. - Built successful enterprise AI applications, especially agentic products with real adoption, not just SaaS. - Functional AI/ML fluency: reasoning about capabilities, evals, latency/cost trade-offs, and fine-tuning vs prompting vs tool use. - Effectiveness across product, engineering, research, go-to-market, and customer-facing teams. - A general-manager mindset with P&L experience, thinking in business trade-offs and revenue. - Very high agency and self-starter mentality (the top trait here), plus consultative PM skill with customers. - A mix of large-company and earlier-stage experience. Nice to Have - Experience on multimodal model teams and products. - Domain exposure in marketing technology, brands, advertising, or entertainment. - Founder-type background. - Experience at enterprise AI companies (Harvey, Sierra, Decagon, Glean, Clay) where customer-embedded PM is the operating model. - A clear sense of the difference between a demo that wins a pitch and a product that runs in production. 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.