Growth PM: Own End-to-End Product-Led Growth

Luma AI; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Luma is seeking a growth-focused product leader to own growth end to end—from acquisition to revenue. You’ll work across product, engineering, marketing, and data, operating with high velocity and limited data to drive activation, retention, and monetization.

You’ll design rapid experimentation loops, identify 80/20 bets, and partner with marketing on paid growth, pricing, and packaging while shipping iteratively with engineering.

Qualifications

• 5–10+ years of product management with a strong growth focus.
• A track record driving measurable growth (activation, retention, revenue).
• Deep understanding of product-led growth, funnels, loops, and lifecycle optimization.
• An experiment-driven mindset with A/B testing and rapid iteration.
• Experience partnering with marketing on paid growth and attribution, pricing and packaging.

Responsibilities

• Own and execute product-led growth across the full funnel, from acquisition to revenue.
• Identify and prioritize high-leverage opportunities (80/20) that drive growth.
• Design and scale rapid experimentation loops across onboarding, activation, retention, and monetization.
• Build repeatable growth loops and improve first-time experience to reach value fast.
• Partner with marketing on paid acquisition, attribution, pricing, and packaging.
• Work hands-on with engineering to prototype, ship, and iterate with limited data.

Skills

Product management

Growth strategy

Experimentation

Data-driven decisions

Tools

Figma

Canva

Adobe Creative Suite

Job description

Luma is seeking a growth-focused product leader to own growth end to end—from acquisition to revenue. You’ll work across product, engineering, marketing, and data, operating with high velocity and limited data to drive activation, retention, and monetization.

You’ll design rapid experimentation loops, identify 80/20 bets, and partner with marketing on paid growth, pricing, and packaging while shipping iteratively with engineering.