Senior Growth Product Manager

Location: Melbourne ‧ Job type: Not specified ‧ Salary: Not disclosed ‧ Region: Australia ‧ Source: RemoteOK ‧ Work mode: Remote

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 rapid. 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.

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

📌 Senior Growth Product Manager Ai Native (Canberra)
🏢 Userc Dehradun
📍 Canberra