INTL
RemoteOK
어려움
외주
원격 가능
Magic Eden - Senior Growth Product Manager AI Native
예상 기간
장기 정규직 (기간 미정)
난이도
어려움
기술 스택
SQL
Data Warehouse
On-chain Analytics
AI Agents
Golang
AI 분석 요약 기회점수 55/100
Magic Eden의 크립토 카지노·스포츠베팅 플랫폼 Dicey의 성장 조직에 합류하는 시니어 그로스 프로덕트 매니저(AI Native) 채용 공고입니다. 가입 이후 플레이어 리텐션과 수익화를 그로스 루프로 소유하며, 세그멘테이션 프레임워크와 AI 기반 파이프라인·에이전트를 직접 구축해 타겟 오퍼와 라이프사이클 캠페인을 설계·실행합니다. 데이터 웨어하우스와 온체인 데이터를 직접 분석하고 SQL 쿼리·분석·자동화를 AI로 수행할 수 있는, 분석 역량이 강한 그로스 PM에게 적합합니다.
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
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
주의사항
- 예산·기간·연봉 정보 미기재
- 크립토 도박(iGaming) 도메인으로 규제·윤리적 리스크 존재
- 개발 외주가 아닌 정규직 채용 공고
프로젝트 유형장기계약
적합 개발자데이터 중심 소비자 기업 출신 그로스 PM 또는 프로덕트 지향 데이터 분석가/사이언티스트
클라이언트 정보
회사Magic Eden
위치Melbourne
프로젝트 원문 설명
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.
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