SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
E2B is a Series A startup with $37M in funding and 8-figure revenue, building the Agent Cloud infrastructure powering AI labs and widely-used consumer and enterprise agents including Manus, Genspark, Lindy, Groq, and Artificial Analysis. The team includes original authors of Firecracker (AWS microVM technology) and alumni from Cognition, JetBrains, Zapier, and Wish.
You will build the data foundation that helps E2B understand its business and make better decisions. You'll transform data across infrastructure, billing, and business systems into reliable pipelines and clearly defined datasets. Reporting to the Head of Engineering, you'll work closely with the Head of Finance as your primary partner initially, with your work eventually supporting Growth, GTM, and other teams.
E2B has data and foundational pieces in place; you'll bring them together, establish missing building blocks, and own the quality and usefulness of deliverables. You'll have direct access to people using your work and substantial ownership over how E2B's data foundation develops.
Key responsibilities:
- Build and operate pipelines bringing operational and business data into the warehouse, including sandbox usage, cloud infrastructure, billing, and accounting data
- Create data models and shared metric definitions for consistent team understanding and usage
- Establish testing, monitoring, reconciliation, and alerting to catch missing data, inconsistencies, and unexpected changes
- Partner with Finance to turn business questions into dependable datasets, starting with usage, revenue, costs, and margins
- Make data accessible for self-service analysis, reporting, and AI-assisted querying through clear structure and documentation
- Work with engineering teams to improve source data quality and resolve issues from ingestion through downstream consumption
- Make practical architecture and tooling decisions, balancing immediate business needs with maintainability
The company operates with 4 days on-site, 1 day work-from-home in San Francisco and Prague offices. Benefits include healthcare, vision, and dental insurance, unlimited PTO, 401k, and various in-office perks.
REQUIREMENTS:
- Experience building and owning production data pipelines and warehouse models, including establishing foundations where systems were incomplete or fragmented
- Strong SQL and Python skills with sound software engineering practices around testing, version control, deployment, and monitoring
- Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, and tools for data transformation and orchestration
- Track record of working directly with business stakeholders, clarifying ambiguous requirements, and connecting technical work to business outcomes
- Ability to investigate discrepancies, understand root causes, and make underlying systems more reliable
- Strong ownership: ability to identify what needs to happen, prioritize it, and carry it through without detailed instructions
- Expected experience: approximately six or more years of relevant work (depth of ownership and what you've built matter more than specific years)
BONUS EXPERIENCE:
- Building data foundations at a startup or on a small team
- Supporting Finance, Revenue Operations, Growth, or GTM
- Working with usage-based products, billing data, or cloud infrastructure costs
- Building well-documented datasets supporting self-service analytics and AI tools
- Finance domain expertise (helpful but not required)
