Data Engineer (GTM)

Join Anthropic, a leading AI safety and research company, as a Data Engineer on the Data Science & Analytics team. In this role, you will build the data foundation for the quote-to-cash lifecycle, design canonical data models, and partner closely with various teams to ensure reliable and well-modeled data. You will also establish high data integrity standards, build foundational data products, and influence stakeholder roadmaps.

• Construire la base de données pour le cycle de vie de la citation à l'encaissement d'Anthropic.
• Concevoir les modèles de données canoniques afin que les équipes de vente, de gestion des contrats, de gestion des commandes, des opérations de revenus et des finances travaillent à partir d'une définition gouvernée et auditable.
• Collaborer étroitement avec les équipes de systèmes GTM et Finance qui possèdent Salesforce, CPQ et la facturation pour rendre les données de citation à l'encaissement fiables, bien modélisées et en libre-service.

• 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
• 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