Niantic jobs

Talent Acquisition Sourcer at Scopely (gaming company) based in Mexico City, Mexico on hybrid basis. Focuses on sourcing candidates, building passive pipelines, developing sourcing strategies, and partnering with hiring managers across North America and Europe. Requires proven sourcing/talent research experience in tech/gaming. Function is HR/talent acquisition, not engineering.

Executive Compensation Analyst at Scopely, a leading mobile games company based in Culver City, CA, where you'll manage equity compensation accounting and reporting for senior leadership. You'll build and maintain monthly/quarterly LTI expense models, develop automated dashboards and variance analyses, and partner with Accounting, FP&A, Legal, and HR to advise on compensation program design and resolve data issues. The role requires a Master's degree in Finance, Accounting, Statistics, or related field plus two years of relevant experience, along with demonstrated expertise in stock-based compensation accounting, SAS/SQL/VBA/Power BI automation, and translating complex analyses for executives. Scopely is the #1 mobile games company in the U.S. with iconic franchises like MONOPOLY GO! and Pokémon GO, offering competitive compensation of $101,712–$126,103 annually plus equity, bonuses, and comprehensive benefits including unlimited PTO. The position allows remote work from anywhere in the U.S. The critical requirement here is strong technical proficiency in SAS, SQL, VBA, and Power BI for large-scale data automation—this is not a role for someone without hands-on experience in these specific tools.

Scopely seeks People Operations & Benefits Specialist (Contractor) in Shanghai for HR operations, compliance, onboarding, benefits administration, and employee lifecycle management. Hybrid role (3 days/week in-office at Shanghai hub); requires local labor law knowledge and HR process expertise. Compensation not specified.

Data Scientist, Marketing at Niantic is a data science role supporting the marketing organization through building measurement frameworks, developing predictive LTV models, and creating scalable reporting solutions. The position requires 1-5 years of data science experience, strong Python/SQL skills, and expertise in user acquisition analytics, marketing mix modeling, and AI applications for marketing. This is a data science and marketing analytics role, not software engineering.