招聘
薪酬
$107,500 - $165,000
福利待遇
•Healthcare
•401(k)
•Equity
•Unlimited Pto
•Pet Insurance
必备技能
Product Management
Machine Learning
Data Science
Game Design
Do you want to use Data and AI to creatively solve core game design problems, delighting users today and crafting the future of mobile gaming? Join Niantic Games, now part of the Scopely family, as a Product Manager on the Applied AI team. You will lead, innovate, and build outstanding AI-driven experiences across our suite of products, including Pokémon GO, Monster Hunter Now, and Pikmin Bloom.
Unlike a traditional platform role, you will partner directly with Game Designers, Producers, and ML Engineers to deploy AI features that directly touch the player—from personalized game loops to intelligent, adaptive gameplay.
Responsibilities:
-
Identify Gameplay Opportunities: Work with Game Producers and Designers to identify friction points or engagement opportunities where AI/ML can provide a unique solution (e.g., dynamic difficulty, personalized rewards, generative content).
-
Drive the "AI for Fun" Roadmap: Create the vision and strategy for how Applied ML enhances the core game loop, ensuring features optimize for fun and retention, not just model accuracy.
-
Cross-Discipline Translation: Act as the bridge between the ML Engineering team and the Game Teams. Translate "Game Design Intent" into "ML Requirements" and vice versa.
-
Execution & Experimentation: Define success metrics that blend technical performance (latency/accuracy) with game KPIs (retention/DAU).
-
Leverage the Ecosystem: Collaborate with Scopely’s central tech teams to adopt and adapt state-of-the-art ML technologies for Niantic’s location-based specific needs.
Qualifications:
-
4+ years of Product Management experience, preferably in Gaming, Consumer Mobile, or Applied ML.
-
2+ years of professional experience in Machine Learning, Data Science, or Data Analytics
-
Passion for Games: A deep understanding of game mechanics (F2P, RPG, or Location-Based) and an intuition for what makes a game "fun."
-
Technical Fluency: Experience working with Data Science or Machine Learning teams. You don't need to code, but you must understand the capabilities and limitations of LLMs, Reinforcement Learning, and Predictive Modeling.
-
Adaptive Learner: Proven track record of picking up new domains quickly. You are comfortable stepping out of your comfort zone to tackle undefined problems.
-
Collaborative Spirit: Experience managing trade-offs between creative desires and technical reality.
Plus If...
-
Experience launching ML-driven features in a live service game (e.g., matchmaking, bots, personalization).
-
Hands-on experience with Generative AI tools and workflows in a creative production environment.
-
Experience managing platform services that have direct end-user UI components (e.g., Social, Identity, Payments).
For candidates in CA, CO, NJ, NY, and WA, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience.
CA, CO, NJ, NY, and WA Annual Salary Range**$107,500—$165,000 USD**
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the Fox Next, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/.
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关于Scopely

Scopely
AcquiredScopely, Inc. is an American video game developer and publisher. The company is headquartered in Culver City, California, with offices across North America, Central America, EMEA and Asia, with its largest location in Barcelona, Spain.
1,001-5,000
员工数
Culver City
总部位置
$4.9B
企业估值
评价
4.2
5条评价
工作生活平衡
4.0
薪酬
3.8
企业文化
4.2
职业发展
2.5
管理层
2.8
优点
Great benefits and competitive compensation
Amazing people and passionate team members
Flexible work from home options
缺点
Very difficult career growth and promotion opportunities
Company becoming too big and corporate
Poor communication and slow processes
薪资范围
131个数据点
Junior/L3
L3
Mid/L4
Senior/L5
Intern
Senior
Director
Junior/L3 · Associate Product Manager
13份报告
$108,833
年薪总额
基本工资
$101,986
股票
-
奖金
$6,847
$74,443
$160,122
面试经验
4次面试
难度
3.3
/ 5
时长
14-28周
录用率
25%
体验
正面 0%
中性 0%
负面 100%
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Multiple Technical Interviews
5
HR Screening
6
Take-home Assignment
7
Offer
常见问题
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
System Design
Past Experience
新闻动态
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