Senior Growth Product Manager AI Native

Magic Eden·MelbourneRemotesenior

In short

→Liderazgo en crecimiento basado en IA para un casino y apuestas cripto con enfoque en retención personalizada.
→Diseño y ejecución de campañas automatizadas con IA, segmentación avanzada y toma de decisiones con datos en tiempo real.
→Tienes plena autonomía para construir desde cero el marco de segmentación y el stack de crecimiento, con impacto directo en la rentabilidad.

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What they ask for

✓Experiencia en crecimiento productivo en marketplaces, gaming o fintech.
✓Intuición sólida sobre psicología del jugador y diseño de incentivos.
✓Capacidad analítica para derivar cohortes y experimentos sin depender de científicos de datos.
✓Enfoque AI-native: uso cotidiano de IA para automatizar análisis y tareas.
✓Capacidad para ejecutar desde la idea hasta el lanzamiento sin depender de otros.
✓Comodidad con la ambigüedad y pensamiento estratégico en ausencia de guías establecidas.

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AI-native workflowsAI agentsdata pipelinesdata warehouseon-chain dataplayer segmentationtargeted offerscampaignsemailin-app

Who should you write to at Magic Eden?

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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 Please mention the word **WINNERS** and tag RMy44NC4yMDguMTE= when applying to show you read the job post completely (#RMy44NC4yMDguMTE=). This is a beta feature to avoid spam applicants.

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