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Uber Senior Software Engineer - Autonomous Mobility Experience 
United States, West Virginia 
88731528

Yesterday

About the Role

- - - - What the Candidate Will Do ----

  1. Partner with Marketing, Data Science, Engineering, and other cross-functional teams to deeply understand business needs and define measurement strategies.
  2. Drive the product vision, roadmap, and execution
  3. Build and refine underlying data processes and pipelines to ensure reliable, high-quality datasets that power measurement and insight generation.
  4. Collaborate with Engineering to design, implement, and maintain scalable data systems (e.g., data lakes, ETL frameworks) supporting marketing workflows.
  5. Develop intuitive dashboards and analytics tools that surface actionable insights on campaign performance, audience engagement, channel effectiveness, and overall marketing impact.
  6. Establish frameworks for consistent marketing measurement, including attribution, incrementality, and experimentation, ensuring alignment across diverse teams and markets.
  7. Collaborate with stakeholders to define KPIs, track impact, and foster continuous improvement in data-driven marketing decisions.
  8. Champion data governance and best practices so that marketers can trust and confidently act on insights.

- - - - Basic Qualifications ----

  1. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical or analytical field.
  2. 5+ years of product management experience with a focus on data platforms, analytics, or business intelligence.
  3. Strong understanding of marketing measurement, data modeling, and reporting best practices.
  4. Experience working with large-scale data infrastructure and tools (e.g., SQL, Looker, BigQuery, Airflow).
  5. Ability to translate complex data requirements into simple, user-centric products.
  6. Strong cross-functional collaboration and communication skills.

- - - - Preferred Qualifications ----

  1. Master’s degree in a technical field
  2. Experience in digital marketing, CRM, or MarTech environments.
  3. Familiarity with experimentation and incrementality testing.
  4. Interest in applying AI/ML to enhance marketing analytics and insights.

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .