Data Engineering Manager, GTM & Marketing

• 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

• 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

• 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

$370,000 - $450,000 USD