高级增长产品经理（AI原生）（Senior Growth Product Manager, AI-Native）
Senior Growth Product Manager, AI-Native
Magic Eden
岗位信息
以下导读根据招聘原文整理，帮助你了解实际工作、要求和待遇；完整条件请核对下方原文。
岗位概况
Magic Eden 为 Dicey 加密赌场与体育博彩平台招聘远程高级增长产品经理（AI原生），负责注册后玩家留存与变现全链路、玩家分层框架、AI 原生增长栈与定向优惠活动；远程不等于全球可申请，需核对居住地、时区、语言与工作许可。
工作职责
- 负责注册后留存与变现增长闭环：设定目标、寻找杠杆、驱动玩家注册后的关键指标。
- 负责玩家分层框架：在现有价值与风险分层基础上决定演进方向、输入信号及全公司使用方式。
- 构建 AI 原生增长栈：分析、智能体与自动化管道，用于识别分层、生成优惠候选并运行活动。
- 设计并上线面向特定分层与时刻的定向优惠，如充值奖金、输额返还、投注赏金、挑战与召回序列，并完成规模估算、规格、上线与测量。
- 投入时间查询数据仓库与链上数据，发现模式并抢先转化为活动。
- 扩展玩家信号，包括链上活动、状态匹配计划、社交账号关联及其他可想到的信号。
- 执行邮件、应用内、Telegram 等渠道活动，亲自动手并由 AI 承担大量工作。
- 与工程和设计协作，交付可复用增长产品表面。
任职要求
- 具备玩家心理与激励设计直觉；真诚好奇用户行为动机为必要条件。
- 深度分析能力：能独立从模糊问题完成清晰 cohort 切分，不等待数据科学家。
- 默认 AI 原生：已用 AI 写查询、构建分析、自动化自身工作，并希望进一步推进。
- 高产出且判断力好：能生成大量想法并确定优先测试项。
- 亲自动手偏好：能自己发邮件、跑查询、写规格，而不只是分派他人。
- 适应模糊环境：无现成 playbook，需自行构建。
申请条件与限制
- 远程岗位；申请前需在原始招聘页确认居住地、时区、语言与工作许可，远程不等于全球可申请。
- 来源未说明雇佣类型、合同期限、到岗方式、是否为实习或全职，以及具体远程资格。
加分项
- 博彩、游戏、fintech 或消费市场经验（来源称有帮助，非必需）。
- 倾向匹配背景：数据密集型消费公司增长 PM；MBB 咨询师转向产品并拥有结果；有产品思维的数据科学家或分析师希望交付而非仅报告。
薪酬与福利
- 有竞争力、市场顶级薪酬（来源未提供薪酬区间、货币、发放周期、股权/代币、保险、假期或津贴细节）。
岗位重点解读
- 围绕 Dicey 玩家注册后留存与变现，设定目标、寻找杠杆并驱动指标。
- 拥有并演进玩家分层框架，决定信号与全公司使用方式。
- 构建分析、智能体与自动化管道，以最小人工运行分层识别、优惠生成与活动执行。
- 设计、规格、上线并测量 reload bonuses、lossback、wager bounties、challenges、win-back sequences 等定向优惠。
- 在数据仓库与链上数据中发现模式，并在他人之前转化为活动。
- 扩展链上活动、状态匹配、社交账号关联等玩家信号，并亲自动手运行多渠道活动。
- 与工程和设计协作交付可复用增长产品表面。
申请准备建议（编辑解读）
- 若缺少博彩或游戏背景，可准备消费或 fintech 数据的 cohort/留存实验案例，以证明玩家心理与激励设计判断。
- 申请前核对原始页面的居住地、时区、语言与工作许可；不要假设远程岗位全球可申请。
- 准备 AI 辅助 SQL/分析与端到端活动规格样例，体现亲自动手偏好。
- 若从分析师转产品，准备展示从分析到已交付实验或产品面的证据，而不只是报告。
查看完整招聘原文
国际远程岗位，招聘地区：Remote (Remote)。 请核对原招聘中的居住地、工作许可、时区、语言与出差要求；远程岗位不等于全球可申请。 以下保留招聘来源英文原文。
Source job listing. Remote does not imply worldwide eligibility; confirm residency, time zone, language and work authorization on the original page.
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