Product Owner, Enrichment · Anthropic

Sun, 08 Mar 2026 14:01:25 GMT
Engineering

Anthropic · San Francisco, CA | New York City, NY · hybrid

About Anthropic

Anthropic's 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.

About the role

We are looking for a Product Owner, Enrichment to own and drive the strategy, architecture, and execution of our data enrichment ecosystem. This role sits at the intersection of Revenue Operations, Data Engineering, and Go-to-Market strategy, and is responsible for building and maintaining a best-in-class enrichment infrastructure that delivers a reliable, comprehensive source of truth for company and contact data across global markets.

You will be the subject matter expert and product owner for all enrichment tools, data sources, and processes—including platforms like Clay, Dun & Bradstreet, ZoomInfo, and other third-party providers. You will design and operate the systems that power account hierarchies, firmographic enrichment, contact discovery, and signal detection, ensuring our GTM teams have the accurate, complete data they need to identify, prioritise, and close business.

This is a hands-on, technically-oriented role that requires deep experience working with large datasets, complex system integrations, and Salesforce data modelling. You will collaborate closely with Sales, Marketing, Data Science, Data Engineering, and Revenue Operations to ensure our enrichment strategy supports both near-term GTM execution and long-term data infrastructure goals.

Responsibilities:

Own the end-to-end enrichment strategy and roadmap, serving as the product owner for all enrichment tools, vendors, and data sources including Clay, Dun & Bradstreet, ZoomInfo, and emerging providers

Build and maintain a unified enrichment master—a reliable source of truth for company and person data including parent-child account hierarchies, firmographics, technographics, and contact intelligence across domestic and international markets

Design and implement waterfall enrichment workflows that orchestrate multiple data providers to maximise coverage, accuracy, and cost efficiency while minimising redundancy

Architect enrichment data models within Salesforce, making strategic decisions about how enrichment data is stored, related, and surfaced (e.g., custom objects vs. direct field integration, parent account structures, enrichment audit trails)

Hands-on data manipulation and transformation—write queries, build data pipelines, and work directly with data warehouses (e.g., Snowflake, BigQuery) to clean, transform, match, and deduplicate enrichment data at scale

Lead international enrichment strategy, addressing the unique challenges of enriching company and contact data across global markets with varying data availability, provider coverage, and regulatory requirements

Partner with Data Science and Data Engineering to define enrichment schemas, resolve entity matching challenges, and build scalable infrastructure that supports both real-time and batch enrichment processes

Collaborate with Sales, Marketing, and Revenue Operations to understand GTM data needs, translate business requirements into enrichment solutions, and ensure enrichment outputs directly support pipeline generation, territory planning, lead routing, and account scoring

Define and track enrichment KPIs including match rates, data completeness, freshness, accuracy, and downstream GTM impact—using metrics to continuously improve the enrichment ecosystem

Evaluate and onboard new enrichment vendors and data sources, conducting proof-of-concept testing and negotiating contracts in partnership with procurement

Explore and implement AI-powered enrichment capabilities, including prompt-based enrichment using LLMs to supplement traditional data providers for emerging companies, startups, and hard-to-enrich segments

You may be a good fit if you have:

10+ years of experience in data enrichment, data operations, or revenue/marketing operations with hands-on ownership of enrichment tools and strategy in a B2B SaaS or enterprise technology environment

Deep expertise with enrichment platforms such as Clay, Dun & Bradstreet (D-U-N-S, Data Blocks, hierarchies), ZoomInfo, Clearbit, People Data Labs, or comparable providers, including experience building waterfall enrichment workflows and enrichment masters

Strong Salesforce experience (required)—including data modelling for enrichment (custom objects, account hierarchies, parent-child relationships), integration architecture, and understanding of how enrichment data flows through the CRM to support GTM processes

Hands-on technical skills for data manipulation including SQL proficiency, experience with data warehouses (Snowflake, BigQuery, or similar), and comfort working with ETL/reverse ETL pipelines, APIs, and data transformation tools

Strong product ownership mindset with experience managing roadmaps, backlogs, and stakeholder priorities—able to translate business needs into technical requirements and drive execution across cross-functional teams

Dual data + RevOps mindset—equally comfortable working with Data Science and Data Engineering on infrastructure and schema design as you are partnering with Sales and GTM teams on pipeline and territory optimisation

Excellent communication skills to bridge technical and business audiences, lead stakeholder discovery sessions, and present enrichment strategy and impact to leadership

Strong candidates may have:

Experience building or leveraging AI-powered enrichment prompts (e.g., using LLMs to research and enrich company data, identify signals, or fill gaps where traditional providers lack coverage)