1 month ago
Base Salary
$200k - $250k/yr
Responsibilities
- Build and operate pipelines that ingest sandbox usage, cloud infrastructure, billing, accounting, and other operational data into the warehouse.
- Create understandable data models and shared metric definitions.
- Establish testing, monitoring, reconciliation, and alerting to identify missing data, inconsistencies, and unexpected changes.
- Partner with Finance to develop dependable datasets for usage, revenue, costs, and margins.
- Enable self-service analysis, reporting, and AI-assisted querying through clear data structures and documentation.
- Work with Engineering to improve source data quality and resolve issues from ingestion through downstream consumption.
- Make architecture and tooling decisions that balance immediate business needs with maintainability.
Requirements
- Experience building and owning production data pipelines and warehouse models, including establishing foundations for incomplete or fragmented systems.
- Strong SQL and Python skills with software engineering practices involving testing, version control, deployment, and monitoring.
- Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, plus data transformation and orchestration tools.
- Experience working directly with business stakeholders and translating ambiguous requirements into technical outcomes.
- Ability to investigate discrepancies, identify root causes, and improve system reliability.
- Strong ownership and ability to prioritize and independently deliver work.
- Typically around six or more years of relevant experience, with emphasis on depth of ownership and work delivered.
- Bonus: experience building data foundations at a startup or small team.
- Bonus: experience supporting Finance, Revenue Operations, Growth, or GTM.
- Bonus: experience with usage-based products, billing data, or cloud infrastructure costs.
- Bonus: experience building documented datasets for self-service analytics and AI tools.
Benefits
- Healthcare, vision, and dental insurance.
- Unlimited PTO.
- 401k.
- Additional perks for in-office employees.
- In-person work arrangement with four days on-site and one day working from home in San Francisco or Prague offices.
About E2B
E2B builds the Agent Cloud—secure, scalable sandboxes and infrastructure for interpreting and running AI‑generated code—delivered via APIs to developers and AI labs building agents. The privately held, Series A company is headquartered in San Francisco and is used by teams behind agents at Groq, ClickUp, and Lindy; its team includes original authors of Firecracker, the AWS microVM technology behind Lambda.
