The Growth Product Manager will drive product-led growth strategies, focusing on user acquisition, retention, revenue optimization, and A/B testing while collaborating across teams.
Our mission is to build unified intelligence to expand human imagination and capabilities.
We believe multimodality is critical for intelligence. To move beyond language models and build more aware, capable, and useful systems, the next step-function change will come from vision. We are training and scaling multimodal foundation models that can see and understand, show and explain, and ultimately interact with the world to drive meaningful change.
We’re looking for a Growth Product Manager to help scale Luma’s product from strong early traction to massive adoption.
This is not a traditional PM role. Growth at Luma is deeply integrated across product, engineering, marketing, and data.
You will own growth end-to-end—driving acquisition, activation, retention, and revenue.
You’ll identify and execute the highest-leverage opportunities (80/20 bets), build scalable growth loops, and run rapid experimentation cycles. You’ll partner closely with research, engineering, design, data, and marketing to turn cutting-edge AI capabilities into intuitive, high-impact product experiences that creatives love.
You will operate with high velocity, imperfect data, and a strong bias toward action—helping define how growth works at Luma from first principles.
- Own and execute product-led growth strategy across the full funnel—from acquisition to revenue
- Identify and prioritize high-impact (80/20) opportunities that drive outsized growth
- Design, run, and scale rapid experimentation loops across onboarding, activation, retention, and monetization
- Build and optimize growth loops that are repeatable, scalable, and measurable
- Improve first-time user experience and onboarding to ensure users reach value quickly
- Drive activation and engagement through deep understanding of creative workflows
- Partner closely with marketing to:
- Optimize paid acquisition with clear attribution and ROI
- Align product experiences with top-of-funnel growth efforts
- Drive conversion and monetization improvements, including pricing, packaging, and promotions
- Analyze funnel performance to identify where growth is breaking and recommend high-impact solutions
- Work hands-on with engineering to quickly prototype, ship, and iterate—using scrappy solutions when needed
- Collaborate with data science and UXR while staying comfortable making decisions with limited data
- 4–6+ years of product management experience, with a strong focus on growth
- Proven track record of driving measurable product growth (activation, retention, revenue)
- Deep understanding of product-led growth (PLG), funnels, loops, and lifecycle optimization
- Strong intuition for identifying high-leverage opportunities in ambiguous environments
- Highly experiment-driven mindset with experience running A/B tests and rapid iteration cycles
- Ability to operate both strategically (big picture) and tactically (hands-on)
- Comfort working with incomplete data and making fast, high-quality decisions
- Experience partnering with marketing on paid growth and attribution
- Familiarity with pricing, packaging, and monetization strategy
- Technical fluency—you’re comfortable getting into the weeds and unblocking execution
- Experience building or growing products for creative professionals
- Familiarity with tools like Figma, Canva, Adobe, or 3D/creative platforms
- Experience working on AI-native products or in fast-moving startup environments
- Work on frontier AI products shaping the future of creativity
- Massive opportunity to drive 10x+ growth for a product with strong early traction
- Collaborate with a world-class team across research, product, and engineering
- High ownership, high impact, and a fast-moving environment
The base pay range for this role is $225,000 – $325,000 per year.
About LumaLuma’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.
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