Product Manager, Measurement (Experimentation)

TikTok; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading social media platform is seeking a Product Manager for Measurement (Experimentation) in San Jose, California. This role involves developing measurement products, managing experimentation infrastructure, and collaborating across teams to enhance advertising performance. Candidates should have a strong background in product management and quantitative fields, as well as experience in ad tech and the broader measurement ecosystem. Join us to innovate and make an impact in the advertising space!

Qualifications

• 3+ years of experience in product management, preferably in an internet product.
• Knowledge of ad tech and the measurement space.
• Experience with ads monetization and data teams.

Responsibilities

• Set vision and develop roadmap for measurement products.
• Own experimentation infrastructure and define success metrics.
• Collaborate with engineering and data science teams.

Skills

Product management

Causal inference

Experimental design

Data analysis

Collaboration with cross-functional teams

Education

Bachelor's degree in Statistics, Economics, or Social Sciences

PhD or MS/MA with relevant experience

Job description

Product Manager, Measurement (Experimentation)

TikTok's Measurement Product team builds experimentation products that help marketers and brands realize their true business value generated by TikTok and across all of their paid channels. Our team drives innovation and performance across our advertising platform by working with cross‑functional teams across the globe on products that touch millions of advertisers. We're looking for a Product Manager to continue building our experimentation infrastructure and measurement products.

Responsibilities

• Set the vision, develop the roadmap, build and launch measurement products that help advertisers meet their goals and see their true business value generated by TikTok.
• Collaborate with senior leaders and cross‑functional teams, including Engineering, Data Science, and Product Marketing, to define priorities and execute shared goals for measurement products.
• Own the underlying experimentation infrastructure and methodology, from randomization to inference methods.
• Define success metrics and analyze data to inform product strategy and prioritization.
• Write all technical specs and product requirements for development.

Qualifications

• Minimum Qualifications:
  • Bachelor's degree or higher in a quantitative field such as Statistics, Economics, or Social Sciences, or equivalent science/technical field is preferred.
  • 3+ years of experience in product management, having taken one or more internet products through the full product cycle, from requirements to launch.
  • Knowledge of causal inference and experimental design, as well as the broader measurement ecosystem.
  • Experience defining vision, strategy, and roadmap for a software product.
  • Experience in ads monetization business and ecosystem.
  • Experience working with data teams and external partners to build measurement models and frameworks.
• Preferred Qualifications:
  • Deep understanding of ad tech and the measurement space, including direct response and brand advertising.
  • PhD in a quantitative field such as statistics, economics, or social sciences, or MS/MA degree with 2+ years of experience in advanced ads measurement.

About TikTok

TikTok is the leading destination for short‑form mobile video. TikTok's global headquarters are in Los Angeles and Singapore, with offices worldwide.

Why Join Us

Our product brings value to users, and our culture thrives on curiosity, humility, and impact. We celebrate diversity and strive to create an inclusive environment for all employees.

Diversity & Inclusion

TikTok is committed to creating an inclusive workplace where employees are valued for their skills, experiences, and unique perspectives.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws.