Data Product Manager Project Intern – Monetization Data Foundation

Job Description

Data Product Manager Project Intern (Monetization) – 2026 Start (BS/MS) | TikTok

The Tone:
This is an internship at TikTok, likely located in Los Angeles County, CA. TikTok builds the leading destination for short-form mobile video, inspiring creativity and bringing joy globally. This role supports the Monetization Data Foundation team, sitting within the Global Monetization Product & Technology organization, by empowering business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency. The intern will shape how data drives decision-making across TikTok’s monetization ecosystem.

The TL;DR
• Role: Internship
• Type: Full-time
• Location: In-person, Los Angeles County, CA
• Pay: $35–$55 hourly
• Team: Monetization Data Foundation team, within TikTok’s Global Monetization Product & Technology (GMPT) organization
• Mission: To build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem.
• Tech Stack: BI tools (Tableau, Power BI, Looker Studio), SQL, Python/R

What You’ll Actually Do
• Data Foundation Building: Participate in building the data foundation and standardization system for international business, assisting in constructing global data infrastructure and promoting the large-scale implementation of operational processes, data definitions, and indicator systems.
• Product Solution Collaboration: Collaborate with sales, strategy, operations, product, and engineering teams to advance data product solutions, sorting out business problems and data requirements to output implementable analytical research and product solutions.
• Automation & Productization: Participate in automation and productization efforts to improve global business efficiency by designing and implementing automated/tool-based solutions, including datasets, visual reports, and analysis tools.
• Data Governance: Promote data governance and quality management by assisting in building a basic governance system for data field standards, indicator definition alignment, and permissions.
• Methodology & Training: Precipitate methodologies from various operational analyses and project practices, providing training and document support for global/regional operational teams to improve overall analytical capabilities and data tool usage skills.

The Must-Haves
• Background: Currently pursuing a Bachelor’s or Master’s degree, with priority given to majors such as Data Science, Statistics, and Business Analysis.
• Experience: Able to commit to a full-time, 24-week (6-month) internship, ideally longer, and available to intern for at least 4 days per week. Priority given to candidates with experience using BI tools such as Tableau, Power BI, or Looker Studio.
• Skills: Possess solid data processing skills, proficient in using SQL for data querying, cleaning, and analysis. Demonstrates good communication and collaboration skills, able to support cross-team and cross-timezone communication. Shows product awareness and logical thinking ability.
• Bonus: Proficiency in Python/R is a plus. Relevant internship experience in data products, data analysis, or data operations in technology companies is a plus.