핵심 요구사항
- 플레이어 심리 및 인센티브 설계에 대한 강한 직관
- 데이터 코호트 분석을 스스로 수행하는 높은 분석력
- AI를 활용한 쿼리 작성·분석·업무 자동화 역량
- 리텐션·수익화 P&L 지표 소유 및 실험 실행
- 온체인 활동 등 플레이어 시그널 확장
- 이메일·인앱·텔레그램 등 다채널 캠페인 직접 실행
Required stack
필요 기술
SQLData WarehouseOn-chain AnalyticsAI AgentsGolang
Project brief
프로젝트 내용
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
Please mention the word **WINNERS** and tag RMTUuMTY1LjI0MC4xNDk= when applying to show you read the job post completely (#RMTUuMTY1LjI0MC4xNDk=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
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
Please mention the word **WINNERS** and tag RMTUuMTY1LjI0MC4xNDk= when applying to show you read the job post completely (#RMTUuMTY1LjI0MC4xNDk=). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.
지원 기회 분석
지원 전에 볼 것
예상 산출물
- 플레이어 세그멘테이션 프레임워크
- AI 기반 그로스 스택(에이전트·자동화 파이프라인)
- 타겟 오퍼 및 라이프사이클 캠페인
- 리텐션·수익화 지표 개선
매력 포인트
- 유니콘 도달 이력의 검증된 팀
- 완전 원격 근무
- AI-native 그로스 스택을 처음부터 구축하는 높은 자율성
확인할 점
- 예산·기간·연봉 정보 미기재
- 크립토 도박(iGaming) 도메인으로 규제·윤리적 리스크 존재
- 개발 외주가 아닌 정규직 채용 공고
Client signal
클라이언트 정보
회사 · Magic Eden / 지역 · Melbourne