Senior Growth Product Manager, AI-Native

Wwshemi; Australia; A distancia; AUD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Magic Eden and Dicey are building an AI-native growth team to redefine retention in iGaming. We seek a Growth PM who understands player psychology, can design segmentation, and run lifecycle campaigns after signup.

You will shape the post-signup journey, build workflows and experiments that would have taken a full team years to deliver. You lead retention, monetization, and the segmentation framework, partner with engineering and design, and own a P&L lever.

Formación

• Strong intuition for player psychology and incentive design.
• Experience in gambling, gaming, fintech, or consumer marketplaces is helpful.
• Deeply analytical and able to derive cohorts without a data scientist.
• AI-native by default and comfortable using AI to automate work.

Responsabilidades

• Own retention and monetization post-signup, set targets, and drive growth.
• Own the player segmentation framework and evolve signals.
• Build AI-native growth stack: analyses, agents, and pipelines.
• Design and ship targeted offers for segments and moments.
• Analyze on-chain and warehouse data to identify patterns for campaigns.
• Collaborate with engineering and design to ship repeatable surfaces.

Conocimientos

Player psychology

Analytical

AI-native

High output

Hands-on

Ambiguity tolerance

Herramientas

SQL

Python

On-chain data

Descripción del empleo

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