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Senior Growth Product Manager AI Native

Magic Eden·Melbourne

Remote

Posted 1 mo ago

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Job details

CompanyMagic Eden
CategoryData & AI
ExperienceSenior / lead (from title)
Work settingRemote
LocationMelbourne, Australia
SalaryNot stated
Posted2026-09-22 (1 mo ago)
SourceRemote OK

Requirements

  • 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

Job description

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

Tags: product manager, marketing, exec, design, crypto, nft, game dev, consulting, testing, analyst

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