# Product Manager, Enterprise at Luma AI

- Company: Luma AI
- Role group: Product & Engineering
- Location: Redwood City
- Type: FullTime
- Remote: yes
- Posted: 2026-07-24
- Status: active
- Apply: https://jobs.ashbyhq.com/lumaai/1736d68e-539e-44af-8e8d-023d6e76403e?ref=companies-hiring.click

## Description

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.
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