Senior Growth Product Manager, AI-Native
Magic Eden
Role information
Editorial reading guide based on the employer listing. Check the complete source below for all application details.
Role overview
Magic Eden — the team that built a category-defining NFT marketplace and now operates Dicey, its crypto casino and sportsbook platform aimed at the $180B+ iGaming and sports betting markets — is hiring a Senior Growth Product Manager, AI-Native. This is a small, fully remote team that ships fast and is rebuilding how a growth team operates around AI. The role owns the full post-signup player journey: expanding the segmentation framework, designing and running targeted offers and campaigns, and owning the associated P&L lever, with AI-native workflows, agents, and pipelines doing the heavy lifting.
Responsibilities
- Own retention and monetization as a growth loop: set targets, find the leverage, and drive the numbers for everything that happens after a player signs up
- Own the player segmentation framework — currently based on value and risk — deciding 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, such as reload bonuses, lossback, wager bounties, challenges, and win-back sequences — sizing, speccing, shipping, and measuring them
- Spend real time in the data warehouse and on-chain data finding patterns and turning them into campaigns before others do
- Expand the signals available on players, including on-chain activity, status-match programs, and social account linking
- Run the campaigns across channels such as email, in-app, and Telegram, working hands-on with AI doing the heavy lifting
- Partner with engineering and design to ship the product surfaces that make this work repeatable
Qualifications
- Strong intuition for player psychology and incentive design, with genuine curiosity about why people behave the way they do (required)
- Deeply analytical: able to go from a vague question to a clean cohort cut independently, without waiting on a data scientist
- AI-native by default: already uses AI to write queries, build analyses, and automate their own work, and wants to push that much further
- High output with good judgment: generates many ideas and knows which ones are worth testing first
- Bias to do it yourself: comfortable sending the email, running the query, and writing the spec rather than only briefing others
- Comfortable with ambiguity, since there is no existing playbook and the role involves building it
Application conditions
- Location is listed as Remote, and the team is fully remote
- Remote does not imply worldwide eligibility; residency, time zone, language, and work authorization must be confirmed on the original page
- Employment type (full-time, contract, internship, etc.) is not specified in the source listing
- Salary, currency, and pay period are not specified in the source listing
Preferred qualifications
- Experience in gambling, gaming, fintech, or consumer marketplaces (described as helpful, not required)
- Background as a Growth PM at a data-heavy consumer company
- Background as an MBB consultant who wants to move into product and own outcomes rather than advise on them
- Background as a product-minded data scientist or analyst who wants to ship, not just report
Compensation and benefits
- Competitive, top-of-market compensation
- Real ownership of a segmentation framework, a product surface, and a P&L lever, with a direct line to the founding team
- The opportunity to define what a growth PM looks like in an AI-native company, with no inherited playbook
- Work on personalized retention early, at a point the company describes as where the industry is going
Read the full original job listing
Source job listing. Remote does not imply worldwide eligibility; confirm residency, time zone, language and work authorization on the original page.
About Magic Eden and Dicey
Magic Eden reached unicorn status in just 9 months after launch, one of the fastest in history. We built a category-defining NFT marketplace from scratch and proved we know how to move fast. Now we're doing it again. Dicey is our crypto casino and sportsbook platform, targeting the $180B+ iGaming and sports betting markets.
We're a small, fully remote team. We ship fast, we're hands-on with our data, and we're rebuilding how a growth team operates around AI from the ground up.
The role
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.
What you'll do
- 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
What we're looking for
- 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
- You're defining what a growth PM looks like in an AI-native company, there's no inherited playbook
- Personalised retention is where the industry is going and we're building it early
- Real ownership: a segmentation framework, a product surface, and a P&L lever, with a direct line to the founding team