Senior Growth Product Manager, AI-Native

Senior Growth Product Manager, AI-Native

Magic Eden is a Web3 company that achieved unicorn status in just nine months, building a category-defining NFT marketplace and proving the ability to execute at exceptional speed. The company now operates Dicey, a crypto casino and sportsbook platform targeting the $180 billion-plus iGaming and sports betting markets. With a small, fully remote team distributed globally, Magic Eden emphasizes rapid shipping, hands-on data work, and rebuilding how growth teams function with artificial intelligence at the center.

Dicey operates in a competitive iGaming landscape where most operators focus heavily on player acquisition. Few have cracked personalized retention: understanding who each player is, what they need in a given moment, and which interventions actually shift their behavior this week. This role exists to solve that problem at scale. You will own the entire post-signup player journey, expanding segmentation frameworks, designing and running targeted offers, and managing the P&L attached to retention and monetization. The position is explicitly AI-native, meaning you will build workflows, agents, and automated pipelines that accomplish retention campaigns in weeks rather than the months or years traditional approaches require.

What you'll do

• Own retention and monetization metrics across the full growth loop, setting targets and driving performance for everything that happens after player signup

• Build and evolve the player segmentation framework, deciding which signals feed it, how segments are defined, and how other teams leverage it across the organization

• Construct an AI-native growth stack using analysis, agents, and automated pipelines that identify segments, generate offer recommendations, and execute campaigns with minimal manual intervention

• Design, specify, ship, and measure targeted offers for specific player segments and moments, including reload bonuses, lossback offers, wager incentives, challenges, and win-back campaigns

• Spend substantial time in the data warehouse and on-chain data sources identifying behavioral patterns and converting them into campaigns before competitors do

• Expand the available player signals by exploring on-chain activity, status-match programs, social account integration, and novel data sources

• Execute campaigns across email, in-app messaging, Telegram, and other channels, staying hands-on while AI handles the heavy computational work

• Partner with engineering and design teams to build repeatable product surfaces that scale the retention engine

What you'll bring

• Strong intuition for player psychology and incentive design, ideally from experience in gaming, gambling, fintech, or consumer marketplaces; genuine curiosity about human behavior is essential

• Deeply analytical capabilities, able to move independently from a loose question to a clean cohort analysis without waiting for data science support

• AI-native working habits, already using artificial intelligence to write queries, conduct analyses, and automate personal workflows, with appetite to push further

• High output and good judgment, generating numerous ideas while knowing which ones merit testing first

• Bias toward hands-on execution, comfortable writing emails, running queries, and authoring specs rather than simply directing others

• Comfort navigating ambiguity and building frameworks where no established playbook exists

• Background as a growth PM at a data-intensive consumer company, an MBB consultant transitioning into product ownership, or a product-minded data scientist or analyst who wants to ship rather than solely report

Nice to have

• Track record building AI-powered workflows or automation systems

• Direct experience with iGaming, sports betting, or regulated financial products

What they offer

• Competitive, top-of-market compensation

• Direct line to the founding team with real ownership over segmentation frameworks, product surfaces, and financial levers

• Opportunity to define what growth looks like in an AI-native organization from the ground up

• Remote work across the globe with a small, fast-moving team