Senior Growth Product Manager, AI-Native

Magic Eden

1d•Remote

About The Position

Magic Eden, a company that achieved unicorn status rapidly, is launching Dicey, a crypto casino and sportsbook platform targeting the iGaming and sports betting markets. Dicey is a fully remote venture focused on innovation in growth strategies, particularly leveraging AI. This role is crucial for redefining how a growth team operates by building AI-driven workflows and pipelines for personalized player retention and engagement. The primary focus will be on the post-signup player journey, including segmentation, targeted offers, and campaign management, with a strong emphasis on AI integration to drive behavioral change and P&L growth.

Requirements

Strong intuition for player psychology and incentive design.
Deeply analytical with the ability to conduct independent data analysis (e.g., cohort cuts) without relying solely on data scientists.
AI-native approach, comfortable using AI for query writing, analysis, and automation.
High output with good judgment, capable of generating and prioritizing testable ideas.
Bias towards hands-on execution, comfortable with tasks like sending emails, running queries, and writing specifications.
Comfortable with ambiguity and building processes from scratch.
Experience in gambling, gaming, fintech, or consumer marketplaces is helpful.
Genuine curiosity about user behavior.

Nice To Haves

Backgrounds that tend to fit: Growth PM at a data-heavy consumer company, MBB consultant transitioning to product, or a Data Scientist/Analyst wanting to ship products.

Responsibilities

Own retention and monetization as a growth loop, setting targets and driving numbers for post-signup player activity.
Own the player segmentation framework, evolving it beyond current value and risk metrics, defining input signals, and guiding its company-wide application.
Build an AI-native growth stack, including analysis tools, agents, and automated pipelines for segment surfacing, offer generation, and campaign execution with minimal manual intervention.
Design and ship targeted offers (e.g., reload bonuses, lossback, wager bounties, challenges, win-back sequences), including sizing, specification, execution, and measurement.
Analyze data from data warehouses and on-chain sources to identify patterns and translate them into proactive campaigns.
Expand player signals by integrating on-chain activity, status-match programs, social account linking, and other relevant data sources.
Execute campaigns across various channels (email, in-app, Telegram), leveraging AI for significant efficiency gains.
Partner with engineering and design teams to develop repeatable product surfaces for growth initiatives.