Product Manager, Enterprise

Luma AI Luma AI · AI Frontier · SF Bay Area, CA · Product Management

Product Manager for Enterprise at Luma AI, focusing on building and shipping enterprise AI products, particularly agentic and multimodal solutions, for marketing, advertising, and entertainment verticals. This role requires a strong understanding of AI/ML capabilities, a general manager mindset, and the ability to translate frontier model capabilities into commercially viable solutions.

What you'd actually do

  1. Define product opportunities across enterprise segments by identifying customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment
  2. Translate Luma’s capabilities across models, Canvas, Agents and APIs into clear product definitions that serve real commercial customers and generate revenue
  3. Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams within a pod-based team structure
  4. Partner directly with enterprise customers to understand requirements, validate opportunities, and shape product direction — showing up in customer meetings to represent research, product strategy, and vision
  5. Build agentic products — not just traditional SaaS — that serve clear enterprise needs and can generate revenue immediately while scaling to serve broader demand

Skills

Required

  • Product management experience
  • Enterprise product development
  • AI/ML fluency
  • Cross-functional execution
  • Customer partnership
  • General manager mindset
  • Ambiguity tolerance
  • Self-starter mentality
  • Consultative PM skills

Nice to have

  • Experience working on multimodal model teams and products
  • Domain exposure in marketing technology, brands, advertising, entertainment, or related commercial enterprise verticals
  • Founder-type experience or background
  • Experience at companies like Harvey, Sierra, Decagon, Glean, Clay, or similar enterprise AI companies
  • Ability to reframe customer requests as design partnerships
  • Understanding of scaling solutions

What the JD emphasized

  • building enterprise products from raw materials
  • highly autonomous product leader
  • exceptional speed
  • significant ambiguity
  • agency and self-starter mentality
  • track record of building enterprise products in high-ambiguity environments
  • built successful enterprise AI applications — especially agentic products
  • functional AI/ML fluency
  • technical enough to prototype a solution on a whiteboard
  • credible enough that a research lead actually wants you in the room
  • general manager mindset with P&L visibility and experience
  • thrive in significant ambiguity with extremely high agency and a strong self-starter mentality
  • consultative PM skills
  • mix of large-company and earlier-stage startup experience
  • extremely unstructured environments with limited scaffolding
  • partner with and influence research teams

Other signals

  • building enterprise AI products
  • agentic products
  • multimodal capabilities
  • customer-facing product strategy