Data Engineer (GTM)

• As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue
• You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands
• You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales
• Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements
• Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Partner with Salesforce, CPQ and billing engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
• Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Experience building an Analytics Data Engineering (or similar) function at start-ups
• 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams
• Expertise in SQL and Python to transform data into accurate, clean data models
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
• A passion for the company’s mission of building helpful, honest, and harmless AI
• A bias for action and urgency, not letting perfect be the enemy of the effective
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress
• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
• Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP
• We encourage you to apply even if you do not believe you meet every single qualification