Product Manager, Enterprise

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

Compensation

The base pay range for this role is $225,000 – $325,000 per year.