Product Manager, Enterprise

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 [... source excerpt omitted ...] 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. Effe [... source excerpt omitted ...] anager 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 bu