Technical Program Manager, Marketing Technology
Listed on 2026-07-01
-
IT/Tech
Data Analyst
About the Role
As a Technical Program Manager for Marketing Technology, you will lead our Marketing Mix Modeling (MMM), incrementality testing, brand measurement, and marketing data infrastructure programs. You'll orchestrate complex, cross‑functional initiatives spanning vendor partnerships, data infrastructure, experimentation design, and stakeholder alignment to build world‑class marketing measurement capabilities for Anthropic's growth.
You will serve as the central coordinator between Data Science, Growth Marketing, Brand Marketing, Product, Engineering, Data Infrastructure, Privacy, Finance, and external partners including MMM vendors, media platform partners, and agencies. This role requires navigating technical complexity, driving alignment across diverse stakeholders, and translating between business strategy and technical execution across performance and brand measurement.
As the program lead for our measurement infrastructure, you will be responsible for delivering our MMM proof‑of‑concept, establishing ongoing experimentation frameworks, designing and executing brand lift studies, leading strategic assessment and migration of infrastructure, and building operational foundations that enable data‑driven marketing investment decisions at scale.
Responsibilities- Marketing Measurement Intelligence:
Lead end‑to‑end program management for MMM proof‑of‑concept execution and transition to production operations. Design and execute comprehensive incrementality testing programs including geo‑based experiments, conversion lift studies, and in‑platform tests with media partners to calibrate and validate MMM outputs. Lead brand lift study design and execution across media platforms to measure awareness, consideration, favorability, and intent. Synthesize measurement results across MMM, brand lift, and incrementality testing for holistic marketing effectiveness views, building reporting frameworks that connect brand health metrics to business outcomes. - Mar Tech Infrastructure & Vendor Management:
Support strategic assessments of marketing technology platforms, facilitate cross‑functional evaluation and drive stakeholder alignment on build‑vs‑buy decisions while mapping dependencies and identifying blockers. Serve as key contact for vendors and agencies, managing relationships, business reviews, and coordinating execution with implementation roadmaps. Establish operational excellence standards including monitoring, alerting, version control, automated privacy validation, and incident response protocols while maintaining executive visibility into platform initiatives and working with Legal and Security on vendor reviews. - Marketing Workflow Automation:
Partner with Marketing leadership to identify, prioritize, and support deployment of AI‑powered automation solutions for marketing operations. Establish governance frameworks, quality standards, validation processes, and monitoring mechanisms for automated marketing workflows. Build sustainable operating models for ongoing automation maintenance and continuous improvement. Track and measure automation impact to demonstrate ROI to leadership and cross‑functional teams. Serve as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organization.
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 successfully 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,…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).