---
title: 'Product Manager, Enterprise at Luma'
canonical: 'https://feeny.ai/job/product-manager-enterprise-luma-new-york-q77fgwz9dnjj'
type: 'job'
last_seen: '2026-09-11'
---

# Product Manager, Enterprise at Luma

- **Company:** Luma
- **Location:** New York, NY
- **Compensation:** $225k–$325k
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-02
- **Last confirmed live:** 2026-09-11
- **Apply:** https://jobs.gem.com/lumalabs-ai/am9icG9zdDpi6oEIjYy-DNBZlZhwUHp2

## Job description

## About Luma

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.

Where You Come In Luma has built frontier multimodal capabilities — foundation models, Canvas, and Agents — that are close to production-ready. What we haven’t yet built is the fully fledged enterprise products that turn those capabilities into solutions customers will pay for and scale across their organizations. That’s the job.

This role sits at the center of a strategic shift. We’re moving toward sales-led growth with enterprise as our primary focus, targeting high-growth verticals in marketing, advertising, and entertainment where our multimodal capabilities unlock workflows that weren’t previously possible. You’ll bridge the gap between what our 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.

We’re 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.

## What You’ll Do

- 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

## Who You Are

- Staff or Principal-level product management experience (L5/L6 seniority or above) with a track record of building enterprise products in high-ambiguity environments
- You’ve built successful enterprise AI applications — especially agentic products with strong real-world adoption, not just traditional SaaS
- You possess functional AI/ML fluency — not just academic. You can reason about model capabilities, evals, latency/cost tradeoffs, fine-tuning vs. prompting vs. tool use, and the shape of a frontier roadmap. You are 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.
- You operate effectively across complex cross-functional environments involving product, engineering, research, go-to-market, and customer-facing teams
- You have a general manager mindset with P&L visibility and experience — you think in terms of business tradeoffs, commercial viability, and revenue outcomes, not just product metrics
- You thrive in significant ambiguity with extremely high agency and a strong self-starter mentality — this is the highest-priority trait for this role
- You bring 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
- You have a mix of large-company and earlier-stage startup experience, and can work in extremely unstructured environments with limited scaffolding
- You can partner with and influence research teams in product development environments, helping ensure frontier model capabilities are shaped by market needs

What Sets You Apart

- 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 — you’ve built something from zero before
- Experience at companies like Harvey, Sierra, Decagon, Glean, Clay, or similar enterprise AI companies where consultative, customer-embedded PM work is the operating model
- You can reframe customer requests as design partnerships and think about scaling solutions to 10x more customers rather than building bespoke one-offs
- You understand the difference between a demo that wins a pitch and a product that runs in production — and you know how to get from one to the other

## About Luma

## Company Overview
- **One-liner**: Luma builds multimodal AI models that can generate, understand, and operate in the physical world, shipping them in products like Dream Machine for creators and teams.
- **Entity Type**: Private (Series C)
- **Headquarters**: Redwood City, California, USA
- **Founded**: 2021
- **Founders**: Not publicly listed on official sources

## Core Business
- **Primary industry**: Artificial Intelligence / Generative AI / Creative AI
- **Target customers**: B2B (enterprises, agencies, developers) and B2C (creators, filmmakers)
- **Mission or purpose statement**: To build unified general intelligence that can generate, understand, and operate in the physical world.

## Products & Services
- **Luma Dream Machine**: Consumer-facing product for turning ideas into compelling visuals (video, image, audio, text) using generative AI.
- **Ray 3.2 API**: Production-grade video generation API with full creative control—multi-keyframe (up to 16), V2V up to 20 seconds, reframe, 1080p output, native HDR, and 16-bit EXR export.
- **Uni-1.1 API**: Multimodal reasoning model API for image generation (text-to-image, reference-guided) and natural-language image editing, with up to nine reference inputs per request.
- **Luma Agents**: Agentic creative workflows that plan, generate, iterate, and refine across every stage of creative work—available in the Luma App and trusted by teams at Publicis Groupe, Serviceplan, Mazda, Dentsu, and Humain.
- **Open Physical AI Lab**: An open science effort to solve generalization in physical AI, built in the open for the benefit of all humanity.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metrics**: Total Funding: $1.3B+ (official site) / $1.057B (LinkedIn); Annual Revenue: $5M (LinkedIn estimate); Users worldwide: 30M+; Team Members: 250+
- **Notable Investors/Partners**: HUMAIN (led Series C), Andreessen Horowitz (led Series B), Amplify Partners (led Series A), Matrix (led Seed Round). Partners include Envato, Comfy, Runware, Flora, Krea, Magnific, Fal, LovArt.
- **Growth Signals**: 250+ team members, 30M+ users, $1.3B+ total funding, 45% yearly LinkedIn follower growth, recent product launches (Ray3.2, Uni-1.1, Luma Skills, Wonder Project partnership), $900M Series C raised November 2025.

## Competitive Advantages
- **Full-stack AI**: Luma builds its own foundation models end-to-end, rather than wrapping third-party models—giving it unique control over quality, latency, and cost.
- **Multimodal reasoning**: Uni-1 understands intention and responds to direction, not just prompts—offering brand intelligence at the model level.
- **Cinematic-grade output**: Ray 3.2 delivers 1080p, native HDR, 16-bit EXR export—production-ready for professional film and advertising pipelines.
- **Open science commitment**: The Open Physical AI Lab publishes research openly, attracting top-tier research talent and fostering community trust.
- **Speed & cost**: Claims less than half the price and latency of comparable models.

## Strategic Focus
- **Scaling enterprise adoption**: Custom deployment for creative teams at scale across advertising, film, and gaming production pipelines.
- **Agentic workflows**: Building Luma Agents as a force multiplier for creative teams—automating repetitive tasks while maintaining brand consistency.
- **Physical AI research**: Advancing the Open Physical AI Lab to solve generalization in physical AI, bridging digital generation with real-world operation.
- **API ecosystem growth**: Expanding the developer platform with two tiers (Build and Scale) and SDKs for Python and JavaScript/TypeScript.

## Why Work Here
- **Culture & mission**: "We believe real-world physics is the path to general intelligence. We unite research, product, and go-to-market into one engine." Described as a "lean, high-achieving team" building the future of creative intelligence.
- **Compensation & benefits**: Competitive compensation, 100% covered medical/dental/vision for employee and family, $1,500/year learning stipend, catered meals, team events, home office setup.
- **Work mode**: On-site roles in Redwood City, CA with additional offices in New York, NY; Los Angeles, CA; and international locations (Munich, Paris, London, Berlin).
- **Engineering culture**: Emphasis on shipping frontier research directly into products—"frontier research ships straight into the hands of working creatives." Hiring across research, systems engineering, infrastructure, design, and product.
- **Hiring process**: Transparent and fast—aims to complete within 2-3 weeks. Application review within a week, then recruiter screen, hiring manager interview, and team/leadership interviews.
- **Employee ratings**: 4.1/5.0 on LinkedIn (9 reviews)—Work-Life: 3.6, Compensation: 4.4, Culture: 4.1, Career: 4.2.
- **Open roles**: 46+ open positions including Forward Deployed Engineer, Research Scientist, Software Engineer, Robotics Engineer, Simulation Researcher, Site Reliability Engineer, Product Marketing Manager, Enterprise Account Executive, and more.

## Sources
1. [lumalabs.ai - Careers](https://lumalabs.ai/careers)
2. [lumalabs.ai - Official Site](https://lumalabs.ai/)
3. [lumalabs.ai - LLM Info](https://lumalabs.ai/llm-info)
4. [LinkedIn - Luma](https://linkedin.com/company/lumalabsai)

## Other roles at Luma

- [Research Scientist / Engineer – Reinforcement Learning Infrastructure](https://feeny.ai/job/research-scientist-engineer-reinforcement-learning-infrastructure-luma-sf-bay-v3kqd6ee41ag) — Sf Bay Area, CA
- [Tech Lead Manager, Inference](https://feeny.ai/job/tech-lead-manager-inference-luma-sf-bay-area-wv3qjs47nghh) — Sf Bay Area, CA
- [Creative Technologist](https://feeny.ai/job/creative-technologist-luma-london-1edm2ph4be1t) — London, United Kingdom
- [Sales Manager - West Coast](https://feeny.ai/job/sales-manager-west-coast-luma-los-angeles-qdhxhg06y85x) — Los Angeles, CA
- [Forward Deployed Engineer (EU)](https://feeny.ai/job/forward-deployed-engineer-eu-luma-london-h5nr5x8w2bhd) — London, United Kingdom
- [Product Manager, Applied Research](https://feeny.ai/job/product-manager-applied-research-luma-sf-bay-area-tgmbcragfeqt) — Sf Bay Area, CA
- [Product Manager, Core Product](https://feeny.ai/job/product-manager-core-product-luma-sf-bay-area-dx7f4b6fnr4d) — Sf Bay Area, CA
- [Social Media Editor](https://feeny.ai/job/social-media-editor-luma-los-angeles-ekyz2de2wh6f) — Los Angeles, CA
- [Senior Video Editor](https://feeny.ai/job/senior-video-editor-luma-los-angeles-1ynx82dj6hbw) — Los Angeles, CA
- [Product Marketing Manager](https://feeny.ai/job/product-marketing-manager-luma-sf-bay-area-s0n3bqsd0qy1) — Sf Bay Area, CA