Responsibilities

• Drive execution for Measurement programs: Translate PRDs into actionable execution plans across conversion tracking, attribution, cross-channel measurement, viewability, and third-party measurement integrations.
• Coordinate cross-functional teams: Partner with Product, Engineering, Data Science, and Privacy stakeholders to ensure alignment, unblock issues, and deliver on commitments.
• Lead program execution and delivery: Run core program routines including planning, dependency management, risk tracking, status reviews, and executive communications.
• Shepherd releases end-to-end: Oversee development, quality validation, launch readiness, and post-launch monitoring for measurement features and platforms.
• Define and drive success metrics: Partner with Product and Engineering to identify meaningful success metrics for measurement solutions, and ensure telemetry and reporting are in place to track progress and outcomes.
• Ensure data quality and reliability: Drive solid practices around event pipelines, telemetry, data validation, and system observability to ensure accurate and trusted measurement.

Requirements

• Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 3+ years of experience managing cross-functional and/or cross-team projects.

Preferred

• Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
• 8+ years of experience managing cross-functional and/or cross-team projects.
• 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
• Demonstrated ability to translate PRDs into shipped outcomes across multiple engineering teams and systems.
• Solid expertise in dependency management, risk mitigation, planning, and release execution.
• Excellent communication and stakeholder management skills, including executive-level updates.
• Experience working closely with Engineering Managers and Software Engineers in highly technical environments.
• Solid technical fluency with event pipelines, telemetry systems, data quality validation, and large-scale data processing.
• Experience with advertising measurement, conversion tracking, attribution, experimentation, or analytics platforms.