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At Uber, we ignite opportunity by setting the world in motion. The Data Solutions team within Performance Marketing is looking for an inventive, passionate and technical Marketing Technology Manager II to help support and grow our business. In this role, you’ll blend technical execution, marketing understanding, and operational excellence. You’ll own projects end-to-end and support larger initiatives, building and improving data pipelines, automating workflows, strengthening observability, and enabling marketers with scalable systems. You’ll partner closely with AdTech, Data Science, Product, and Engineering to improve the reliability and impact of Uber’s performance marketing ecosystem. This is a hands-on role for someone equally comfortable writing SQL, managing technical configurations, debugging data feeds, collaborating with engineering, and guiding marketers toward data-driven solutions. You’ll help define how data flows across platforms, ensuring campaigns are powered by accurate, timely, and actionable data. You’ll also be a thought leader to our stakeholders, acting as a subject matter expert of our data ecosystem and nuances, bridging technical knowledge gaps, and driving Single-Source-of-Truth reporting on data issues.
Job Responsibility:
Lead data solutions projects end-to-end: Scope, plan, execute, and deliver measurable outcomes, while supporting large-scale initiatives with senior partners
Architect and improve data pipelines: Design, validate, manage, and enhance ingestion and sharing flows across internal and external systems (APIs, warehouses, tracking platforms)
Operationalize reliability and observability: Define standards for monitoring, alerting, documentation, and service ownership
improve uptime and error transparency across pipelines
Automate and scale operations: Build tooling (scripts, dashboards, utilities) to reduce manual work, standardize validation, and increase visibility across stakeholders
Drive incident-style investigations and resolution: Lead investigations into data discrepancies or performance anomalies, deliver crisp root cause narratives, and drive durable fixes with partner teams
Influence cross-functional stakeholders: Informally lead across XFN groups (Marketing, Product, AdTech, Engineering, Data Science), align on priorities, and communicate progress, risks, and decisions
Communicate with clarity and leverage narrative: Autonomously craft compelling narratives and decks for project updates, decision-making, and leadership visibility (including some L+2 exposure)
Governance and standards: Help maintain taxonomy, event mappings, and best practices that ensure data quality and compliance, and onboard quickly to new domains as needs evolve
Requirements:
Bachelor’s degree in a technical/quantitative field (Computer Science, Engineering, Mathematics), or Marketing degree with strong technical experience
Strong working knowledge of SQL, APIs, and data pipeline tools (ETL, Airflow, dbt, or equivalent)
Experience with marketing data (e.g., pixel tracking, event sharing, attribution, or ads platform APIs)
Demonstrated ability to debug data issues, communicate root causes, and deliver data-driven recommendations
Track record of designing and documenting systems that increase operational resilience and visibility
Ability to thrive in ambiguity, context-switch across business and technical stakeholders, and deliver high-quality, timely results
Strong stakeholder management skills: ability to build alignment, navigate ambiguity, and coordinate work across cross-functional partners to drive outcomes
Comfortable challenging the status quo, applying critical thinking, setting high standards to think ambitiously and creatively to build and validate various hypotheses
Nice to have:
4+ years of experience in data engineering, marketing technology, analytics, or ad operations
Experience working directly with product, engineering and data science teams to build in-house or API-based solutions
Familiarity with cloud data environments (e.g., GCP, BigQuery) and marketing APIs (e.g., Meta, Google Ads, TikTok)
Understanding of A/B testing frameworks, campaign measurement, and marketing attribution models
Comfort with lightweight coding (Python or equivalent scripting languages)
Experience establishing operational standards (monitoring, documentation, incident response patterns) for data products or marketing data pipelines
What we offer:
Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan