Data Engineer (Product)

• Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements
• Define, build and manage key dbt pipelines that turn raw logs into canonical datasets
• Set data integrity standards and SLAs so data is delivered on time and accurately
• Build reliable dashboards that track core metrics and share insights across the company
• Build foundational data products, dashboards and tools that let self-serve analytics scale
• Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products
• Shape Product teams’ roadmaps from a data systems perspective
• Become an expert in our data models and data 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- A passion for Anthropic’s mission of building helpful, honest and harmless AI
• Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub
• An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope
• Experience using AI to scale your own productivity and your team’s without lowering the quality of the work
• Expertise in SQL and Python for turning data into accurate, clean data models
• A bias for action, and a sense of when “good enough” beats perfect
• Comfort with ambiguity, and a habit of creating clarity and forward progress
• Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics
• Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams
• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team
• Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment