Senior Growth Product Manager Ai Native

Userc Dehradun; Melbourne; Remote; AUD 140,000 - 190,000; Full time

Job summary

Magic Eden is hiring a Senior Growth Product Manager to own retention, monetization, and segmentation in an AI-native growth stack. You will design experiments, build automated campaigns, and partner with engineering and design to ship repeatable product surfaces.

The role emphasizes deep analytics, hands-on execution, and ownership in a remote-friendly environment. You’ll work with a data-driven growth mindset across international teams.

Qualifications

• Strong intuition for player psychology and incentive design.
• Deeply analytical; able to create clean cohort cuts without a data scientist.
• AI-native by default; use AI to write queries, build analyses, and automate work.
• High output with good judgment and a proactive approach.
• Bias to do it yourself; hands-on with execution.

Responsibilities

• Own retention and monetization as a growth loop and set targets.
• Own the player segmentation framework and evolve signals used by teams.
• Build the AI-native growth stack with automated pipelines.
• Design and ship targeted offers for segments and moments.
• Analyze on-chain data and patterns to surface campaigns.
• Expand signals like on-chain activity and status-match programs.
• Run campaigns across channels and collaborate with eng/design.

Skills

Player psychology

Incentive design

Analytical thinking

AI fluency

Growth mindset

Tools

SQL

Airflow

Amplitude

Job description

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 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.

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