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Technical Program Manager, Marketing Technology

Leads Marketing Mix Modeling, incrementality testing, brand measurement, and marketing data infrastructure programs. Coordinates cross-functional teams including Data Science, Engineering, and vendors to deliver measurement capabilities and automation solutions. Requires 7+ years TPM experience with marketing analytics expertise.

290k – 365kSan Francisco, CANew York, NYTechnical Program ManagementHybrid7+ YOE

About the role

Responsibilities:

  • Marketing Measurement Intelligence: Lead end-to-end program management for MMM proof-of-concept execution and transition to production. Design and execute incrementality testing programs including geo-based experiments, conversion lift studies, and in-platform tests. Lead brand lift study design and execution. Synthesize measurement results and build reporting frameworks.
  • MarTech Infrastructure & Vendor Management: Support strategic assessments of marketing technology platforms, facilitating cross-functional evaluation and build-vs-buy decisions. Manage vendor and agency relationships, establish operational excellence standards including monitoring and incident response.
  • Marketing Workflow Automation: Partner with Marketing leadership to identify and deploy AI-powered automation solutions. Establish governance frameworks, quality standards, and measure automation impact.

You May Be a Good Fit If You:

  • Have 7+ years of technical program management experience, with 3+ years in marketing measurement, analytics infrastructure, or data science programs
  • Have a track record of managing complex programs involving data science, marketing operations, engineering, agencies, and vendors
  • Possess deep understanding of MMM, attribution, incrementality testing, brand lift studies, and experimentation design
  • Have strong technical fluency with customer data platforms, marketing data sources, data warehouses, and analytics platforms
  • Have experience evaluating and migrating between marketing technology platforms or data infrastructure systems
  • Can engage with data scientists on regression analysis, causality, adstock modeling, and experimental design
  • Understand CDP architecture including event collection, tag management, streaming delivery, reverse ETL, and privacy compliance
  • Are familiar with privacy regulations (GDPR, CCPA) and data sovereignty requirements
  • Have a track record of delivering 0-to-1 programs on aggressive timelines with high visibility
  • Excel at translating technical concepts for varied audiences and influencing without authority
  • Thrive in ambiguous situations, bringing structure to complex challenges
  • Have excellent written and verbal communication skills with executive presence

Annual Salary: $290,000—$365,000 USD

Skills

Marketing Mix ModelingMmmIncrementality TestingBrand Lift StudiesCustomer Data PlatformsCdpData WarehousesAnalytics PlatformsRegression AnalysisExperimental DesignAdstock ModelingTag Management

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