Senior Product Manager – Data Collaboration
| Company | Roku |
|---|---|
| Location | New York, NY, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- 3+ years of product management experience with a focus on ad tech, data platforms, or ad measurement/analytics products
- Direct experience with cleanroom platforms (e.g., Snowflake, Habu) and a strong understanding of data privacy fundamentals (e.g., differential privacy)
- Exceptional analytical and problem-solving skills; comfort leveraging large amounts of data to drive decisions, ability to break down complex data and business problems into structured, logical solutions; comfort with SQL
- Experience working cross-functionally with global engineering, data science, legal, product marketing, and sales teams to gather requirements and deliver solutions
- Excellent interpersonal and communication skills, with experience presenting to customers and executive leaders and aligning diverse stakeholders toward common goals.
Responsibilities
- Lead the development and enhancement of Roku’s Cleanroom capabilities, ensuring privacy-safe data collaboration and compliance with modern data privacy standards.
- Drive data integrations with Roku’s ecosystem partners, including measurement vendors, to enable seamless data sharing and collaboration.
- Translate business needs into technical specifications, including data models and processing workflows.
- Build and evolve products that generate insights around the effectiveness of Roku media spend towards advertiser outcomes.
- Create and communicate product strategy, roadmap, plans, and progress to stakeholders.
- Stay on top of industry trends in the advertising ecosystem, particularly focusing on data privacy and measurement challenges.
- Define metrics and KPIs you will use to measure the success of your products.
Preferred Qualifications
- Familiarity with ad measurement methodologies and underlying data, including attribution, lift testing, and MMM
- Familiarity with identity resolution methodologies, data and solutions
- A technical product mindset and are a “systems thinker” with an understanding of how APIs, databases, and data pipelines interact across an ad tech ecosystem, with the ability to write clear technical requirements and collaborate effectively with engineers.