Senior Growth Product Manager, AI-Native

About the role

This Senior Growth Product Manager will be responsible for player retention and monetization strategies for Dicey, Magic Eden's crypto casino and sportsbook platform. The role involves setting targets, identifying growth levers, and driving key performance indicators related to player lifecycle after signup. A core responsibility is to define and evolve the player segmentation framework, determining its signals and how it informs company-wide strategies.

A significant aspect of this position is building an AI-native growth stack. This includes developing automated pipelines for analysis, agent-based systems, and campaign generation, aiming to minimize manual effort. The manager will design, specify, and measure targeted offers like reload bonuses, lossback, and win-back sequences, using data to inform these campaigns. The role requires direct engagement with data warehouses and on-chain data to identify patterns and generate campaigns.

Success in this role means expanding player signal data, such as on-chain activity and social account linking, to enhance segmentation and personalization. The manager will also be hands-on in running campaigns across various channels like email, in-app, and Telegram, leveraging AI for efficiency. Collaboration with engineering and design teams is essential to build repeatable product surfaces that support these growth initiatives.

Skills that matter here

• player psychology: Understanding player motivations and behaviors is crucial for designing effective retention strategies and incentive programs.
• analytical: The role requires the ability to independently analyze data, identify patterns, and derive insights for campaign development without relying on data scientists.
• AI-native: This role involves leveraging AI for query writing, analysis, automation, and building an AI-driven growth stack for campaign execution.
• gambling, gaming, fintech, or consumer marketplaces experience: Prior experience in these sectors provides a foundation for understanding player behavior and market dynamics relevant to a crypto casino and sportsbook.
• data warehouse: Direct engagement with data warehouses and on-chain data is necessary to find patterns and inform campaign strategies.
• incentive design: The role involves designing and implementing various offers like bonuses and challenges to drive player retention and monetization.

Who this role suits

• A person who is genuinely curious about human behavior and player motivations, particularly in competitive online environments.
• Someone who thrives in ambiguous environments, comfortable building playbooks rather than following existing ones.
• An individual with a strong bias for action, who prefers hands-on execution from querying data to sending emails, rather than delegating all tasks.
• A product manager who can generate many ideas but also possesses the judgment to prioritize and test the most impactful ones first.

From the employer

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

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