Technical Program Manager, Marketing Technology

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

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. Youll orchestrate complex cross-functional initiatives spanning vendor partnerships data infrastructure experimentation design and stakeholder alignment to build world-class marketing measurement capabilities for Anthropics growth.

Youll 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 someone who can navigate technical complexity drive alignment across diverse stakeholders and translate between business strategy and technical execution across both performance and brand measurement.

As the program lead for our measurement infrastructure youll be responsible for delivering our MMM proof-of-concept establishing ongoing experimentation frameworks designing and executing brand lift studies leading the strategic assessment and migration of infrastructure and building the 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.
• MarTech Infrastructure & Vendor Management: Support strategic assessments of marketing technology platforms facilitating cross-functional evaluation and driving 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. Act as a center of excellence to socialize successful automation stories within Marketing to the broader Anthropic organization.

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 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 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 can influence without authority
• Thrive in ambiguous situations bringing structure to complex challenges with competing priorities and limited resources
• Have excellent written and verbal communication skills with executive presence and strong presentation abilities
• Are passionate about Anthropics mission and interested in the challenges of bringing frontier AI capabilities to market

Deadline to apply:None applications will be received on a rolling basis.

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact advancing our long-term goals of steerable trustworthy AI rather than work on smaller and more specific puzzles. We view AI research as an empirical science which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process