Magiceden Senior Growth Product Manager, AI-Native at Magic Eden owning retention and monetization growth loops and player segmentation framework. Build AI-native growth stack and run lifecycle campaigns in the iGaming and sports betting markets.
Responsibilities
Most of the iGaming industry competes on acquisition. Almost nobody has figured out personalized retention, knowing who a player is, what they need right now, and what would actually change their behavior this week. That's the problem you'll own.
This role focuses on the full post-signup journey: expanding our player segmentation framework, designing and running targeted offers and campaigns, and owning the P&L lever that comes with it. It's explicitly AI-native. You'll build workflows, agents, and pipelines to run lifecycle campaigns that would have taken a whole team two years ago. Half the job is identifying the right problem. The other half is running the experiments to find the answer.
Own retention and monetization as a growth loop. Set the targets, find the leverage, and drive the numbers for everything that happens after a player signs up
Own the player segmentation framework. Today it's value and risk. You decide how it evolves, what signals feed it, and how the rest of the company uses it
Build the AI-native growth stack. Analysis, agents, and automated pipelines that surface segments, generate offer candidates, and run campaigns with minimal manual work
Design and ship targeted offers for specific segments and moments: reload bonuses, lossback, wager bounties, challenges, win-back sequences. Size them, spec them, ship them, measure them
Spend real time in our data warehouse and on-chain data finding patterns and turn them into campaigns before anyone else does
Expand the signals we have on players: on-chain activity, status-match programs, social account linking, and whatever else you can think of
Run the campaigns. Email, in-app, Telegram, whatever the channel. You're hands-on with it, with AI doing the heavy lifting
Partner with engineering and design to ship the product surfaces that make all of this repeatable
Qualification
Deeply analyticalAI-native by defaultHigh output with good judgmentBias to do it yourselfComfortable with ambiguityBackgrounds that tend to fitWhy this is interestingCompetitiveExperience in gambling
Required
Strong intuition for player psychology and incentive design. Experience in gambling, gaming, fintech, or consumer marketplaces helps. Genuine curiosity about why people behave the way they do is required
Deeply analytical. You can go from a vague question to a clean cohort cut yourself, without waiting on a data scientist
AI-native by default. You already use AI to write queries, build analyses, and automate your own work and you want to push that much further
High output with good judgment. You generate a lot of ideas and know which ones are worth testing first
Bias to do it yourself. You're comfortable sending the email, running the query, and writing the spec, not just briefing others
Comfortable with ambiguity. There's no playbook here, you'll be building it
Backgrounds that tend to fit
Growth PM at a data-heavy consumer company
MBB consultant who wants to move into product and own outcomes, not just advise on them
Product Minded Data scientist or analyst who wants to ship, not just report
Why this is interesting
Competitive, top-of-market compensation
Preferred
Experience in gambling, gaming, fintech, or consumer marketplaces
