Data Product Manager Project Intern (Monetization) - 2026 Start (BS/MS)

TikTok; San Jose (CA); On-site; USD 48,216 - 75,768; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Paid holidays

Paid sick time

Job summary

TikTok is seeking a Project Intern in San Jose to support the development of data-driven products within its Monetization organization. The role entails participating in the data foundation build, collaborating with numerous teams, and providing analytical solutions to business challenges. Ideal candidates are pursuing a degree in relevant fields like Data Science or Business Analysis and possess skills in BI tools such as Tableau and SQL. The internship offers an hourly pay and various benefits.

Qualifications

• Currently pursuing a degree in Data Science, Statistics, or Business Analysis.
• Experience with BI tools preferred.
• Commitment to a full-time internship.

Responsibilities

• Participate in building the data foundation and standardization system.
• Assist in developing global data infrastructure.
• Collaborate with various teams to resolve data requirements.
• Provide analytical research and product solutions.

Skills

Experience using BI tools

Proficiency in SQL

Communication skills

Education

Currently pursuing a Bachelor’s or Master’s degree

Tools

Tableau

Power BI

Looker Studio

Python

R

Job description

Team Introduction

We are the Monetization Data Foundation team, sitting within TikTok’s Global Monetization Product & Technology (GMPT) organization. We empower business and product teams with scalable data infrastructure, tools, and insights to drive revenue growth and operational efficiency.

Our mission is to build a robust, data-driven foundation that enables smarter decision-making across TikTok’s global monetization ecosystem. By collaborating closely with engineering, analytics, and business teams, we deliver innovative solutions that turn raw data into actionable intelligence.

Project Intern

We are seeking a Data Product Manager Project Intern to support the development and scaling of data-driven products within TikTok’s Monetization organization. This role involves defining the vision, strategy, and execution of data products that empower business teams.

Responsibilities

• Participate in building the data foundation and standardization system for international business.
• Assist in building global data infrastructure and promote large‑scale implementation of operational processes, data definitions, and indicator systems.
• Collaborate with sales, strategy, operations, product, and engineering teams to resolve business problems and data requirements.
• Provide implementable analytical research and product solutions to support commercialization strategies and improve operational efficiency.
• Participate in automation and productization to improve global business efficiency.
• Assist in building a basic governance system for data field standards, indicator definition alignment, and permissions.
• Precipitate methodologies and support cross‑regional training with reusable methods from various operational analyses and projects.

Minimum Qualifications

• Currently pursuing a Bachelor’s or Master’s degree, priority to majors such as Data Science, Statistics, or Business Analysis.
• Experience using BI tools (e.g., Tableau, Power BI, Looker Studio).
• Able to commit to a full‑time, 24‑week (6 month) internship, ideally longer.

Preferred Qualifications

• Interest in data products, indicator system construction, and data platform tools.
• Good communication and collaboration skills.
• Available to intern at least four days per week for at least six months.
• Relevant internship experience in data products, data analysis, or data operations in technology companies.
• Proficiency in SQL and familiarity with Python or R.

Compensation and Benefits

• Hourly rate: $35–$55.
• Benefits may include health insurance, life insurance, wellbeing benefits, 10 paid holidays, paid sick time, and possibly a housing allowance for interns not working fully remotely.

Legal Considerations

• Qualified applicants with arrest or conviction records may be considered in compliance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.
• Criminal history can be a disqualifying factor for duties such as interacting with clients or handling confidential information.

EEO Statement

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, age, protected veteran status, disability status, or any other characteristic protected by law.