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- Design systems powering product telemetry, pipelines, analytics datasets, and AI insights.
- Ensure data reliability, scalability, and support data-driven product development.
- Collaborate with Product, Engineering, Design, Data Platform, and Infra teams.
- Use AI to accelerate insights across the product development lifecycle.
- Serve as the technical authority on product data architecture and governance.
- Mentor team members to elevate the organization's data capabilities.
π― Requirements
- BS in CS/IS with 12+ yrs in Data Eng/Analytics; MS 8+, PhD 5+, or equivalent
- Experience with large-scale product data from web/mobile/apps/devices
- Deep infra for product analytics: schema, ETL, warehouses, AI datasets
- Hands-on with S3 Data Lake, Airflow, dbt, Snowflake; SQL & modeling
- Familiar with AI tools like Claude, Cursor, ChatGPT, MCP
- Strong cross-functional leadership and stakeholder communication
- A self-starter who can build from scratch and evolve data foundations
π Benefits
- Hybrid work model fostering in-person collaboration
- Competitive compensation and comprehensive benefits
- Total rewards include equity and flexible work options
- Access to AI tools and cross-disciplinary learning
- Location flexibility and supportive onboarding
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