Data Engineering Manager, GTM & Marketing

Anthropic•Seattle, WA

3h•$370,000 - $450,000•Hybrid

About The Position

As a Data Engineering Manager focused on GTM & Marketing, you will build and lead the data engineering team responsible for turning complex commercial data into the trusted foundations that power decision-making across Anthropic's GTM and Marketing organizations. You will partner closely with stakeholders across Data Science, Revenue Operations, Marketing, and Finance to connect the needs of our customers to the dynamics of our pipelines — from new logo acquisition through activation, expansion, and retention — for a rapidly scaling, consumption-based AI platform. In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for GTM and Marketing data foundations while developing and mentoring your team. You will oversee the transformation of CRM, marketing automation, billing, usage, and third-party data into canonical datasets and insightful data marts — owning the metric definitions that Sales, Marketing, Finance, and leadership rely on to run the business.

Requirements

Experience managing data engineering teams in a high-growth environment
Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
Strong proficiency in SQL, Python, dbt, and modern data stack tools
Experience modeling GTM and Marketing data domains — including Salesforce/CRM, marketing automation platforms (e.g., Marketo, HubSpot), and billing/subscription/usage data
Demonstrated experience building and leading high-performing data engineering teams
Track record of partnering with cross-functional stakeholders (Sales, Marketing, RevOps, Finance) to deliver pipeline, revenue, attribution, and funnel metrics
Ability to balance strategic thinking with hands-on technical leadership
Strong communication skills with the ability to translate complex technical concepts for non-technical audiences, including executive stakeholders

Nice To Haves

8+ years of total experience in data engineering or similar data-focused roles, with 5+ years in a people management capacity
Prior experience in a scaling startup or B2B SaaS environment
Experience with multi-segment, multi-product B2B sales or commercial analytics, especially with consumption-based revenue models and product-led growth (PLG) motions
Experience with attribution modeling and account/lead/opportunity hierarchies
Track record of establishing data governance, quality standards, metric definitions, and best practices at scale
Experience scaling analytics functions from early stage to maturity in rapidly changing environments
Comfort operating in ambiguous, fast-moving environments where you must create structure and drive forward progress
A passion for Anthropic's mission of building safe and beneficial AI

Responsibilities

Build and scale the GTM & Marketing Data Engineering team, including hiring and mentoring data engineers
Define and execute the strategic roadmap for GTM and Marketing data foundations and analytics capabilities
Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform CRM (Salesforce), marketing automation, billing, usage, and third-party data sources into canonical datasets and data marts
Partner with Data Science, RevOps, Marketing, Finance, and leadership to understand data needs and translate them into technical requirements
Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team
Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics
Partner with Data Science to build innovative data tools using Claude to scale data-driven decisions across GTM and Marketing teams
Foster a culture of technical excellence, continuous learning, and data-driven decision-making
Serve as a technical thought leader for data modeling, ETL processes, and GTM/Marketing analytics infrastructure