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Senior Product Manager – Data & API
| Company | Roku |
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| Location | San Jose, CA, USA |
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| Salary | $129000 – $255000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, Master’s |
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| Experience Level | Senior |
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Requirements
- Strong understanding of the ad stack
- Basic ad measurement and data flow concepts
- Sound understanding of basic API and database architecture concepts
- 5+ years of experience in product management and data analytics/APIs
Responsibilities
- Design, develop, and enhance APIs that support data access and reporting across various ad tech platforms
- Map and optimize data flows across internal and external systems, ensuring efficient data ingestion, transformation, and delivery
- Work closely with data engineering and analytics teams to structure data tables that enable accurate measurement and reporting
- Ensure API scalability, reliability, and security by defining clear technical requirements and working with engineering teams to implement best practices
- Translate business needs into technical specifications, including API schemas, data models, and processing workflows
- Shape the future of event-level data collection & reporting products for advertisers
- 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, especially concerning data, privacy (Chrome Privacy Sandbox, Apple Ad Attribution Kit, etc.)
- Define metrics and KPIs you will use to measure the success of your products
Preferred Qualifications
- Knowledge of ad measurement and its underlying infrastructure and key processes
- Lead the buildout, launch, and adoption of new API-based products used in digital advertising
- A systems thinker with a technical product mindset
- Exceptional Analytical and problem-solving skills
- Comfortable leveraging large amounts of data to drive decisions, can break down complex data and business problems into structured, logical solutions, and comfortable with SQL
- Strong familiarity with ad measurement methodologies, including attribution, lift testing, and MMM
- Knowledge of identity resolution and privacy-safe data collaboration, including clean rooms and differential privacy
- Experience working cross-functionally with global engineering, Data Science, Legal, Product Marketing, Sales, and collaborating with other product teams to identify our clients’ needs and gather requirements to solve them
- Experience presenting to customers and executive leaders – possess excellent interpersonal skills, as well as align a diverse set of stakeholders towards a common goal
- Bachelors or Masters in Statistics, Mathematics, Economics, Engineering or related field
