Product Manager, Enterprise

Luma • San Francisco, CA

1d

About The Position

Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe that multimodality is critical for intelligence. To go beyond language models and build more aware, capable and useful systems, the next step function change will come from vision. So, we are working on training and scaling up multimodal foundation models for systems that can see and understand, show and explain, and eventually interact with our world to effect change.

This role sits at the center of a strategic shift. Luma has built frontier multimodal capabilities — foundation models, Canvas, and Agents — that are close to production-ready. The company is moving toward sales-led growth with enterprise as its primary focus, targeting high-growth verticals in marketing, advertising, and entertainment where its multimodal capabilities unlock workflows that weren’t previously possible. The Product Manager will bridge the gap between what Luma's models can do and what enterprise customers actually need — defining which customer profiles and workflows to pursue, shaping what gets built, and playing a consultative PM role alongside forward-deployed engineers and creatives in the most important customer engagements.

This is not a traditional product management role where you inherit a mature product and optimize it. You’ll be building enterprise products from raw materials — translating model capabilities into commercially viable solutions while operating with a general manager mindset. You’ll make P&L-driven decisions, not just satisfy handed-down directives. Roughly 30–40% of your time will be spent alongside forward-deployed teams helping lead and shape customer work, with the remainder focused on core product development. The company is looking for a senior, highly autonomous product leader who can operate with exceptional speed, navigate significant ambiguity, and bring the kind of agency and self-starter mentality that early-stage companies demand.

Requirements

• Staff or Principal-level product management experience (L5/L6 seniority or above) with a track record of building enterprise products in high-ambiguity environments
• Experience building successful enterprise AI applications — especially agentic products with strong real-world adoption, not just traditional SaaS
• Functional AI/ML fluency — not just academic. Ability to reason about model capabilities, evals, latency/cost tradeoffs, fine-tuning vs. prompting vs. tool use, and the shape of a frontier roadmap.
• Technical enough to prototype a solution on a whiteboard with a customer’s ML team and credible enough that a research lead actually wants you in the room.
• Operate effectively across complex cross-functional environments involving product, engineering, research, go-to-market, and customer-facing teams
• General manager mindset with P&L visibility and experience — thinking in terms of business tradeoffs, commercial viability, and revenue outcomes, not just product metrics
• Thrive in significant ambiguity with extremely high agency and a strong self-starter mentality
• Consultative PM skills and the ability to play an advisory role with enterprise customers, asking clarifying questions about needs and commercial viability rather than immediately saying yes to requests
• Mix of large-company and earlier-stage startup experience, and ability to work in extremely unstructured environments with limited scaffolding
• Ability to partner with and influence research teams in product development environments, helping ensure frontier model capabilities are shaped by market needs

Nice To Haves

• 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 where consultative, customer-embedded PM work is the operating model
• Ability to reframe customer requests as design partnerships and think about scaling solutions to 10x more customers rather than building bespoke one-offs
• Understanding the difference between a demo that wins a pitch and a product that runs in production — and knowing how to get from one to the other

Responsibilities

• Define product opportunities across enterprise segments by identifying customer profiles, workflows, jobs-to-be-done, and unmet needs in marketing, advertising, and entertainment
• Translate Luma’s capabilities across models, Canvas, Agents and APIs into clear product definitions that serve real commercial customers and generate revenue
• Drive cross-functional execution across research, product, engineering, go-to-market, and forward-deployed teams within a pod-based team structure
• 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
• Play a consultative product role that connects customer feedback to product strategy and roadmap decisions, complementing forward-deployed engineers and creatives rather than duplicating their work
• Bridge market signals back to research and product development teams, establishing feedback loops so that model prioritization and evaluation are informed by real commercial needs
• Build agentic products — not just traditional SaaS — that serve clear enterprise needs and can generate revenue immediately while scaling to serve broader demand
• Operate with a GM-style mindset, making product choices that align with revenue goals, commercial viability, and practical business outcomes

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed