Senior Data Engineer (AI)

Location: Hybrid, with 4 days on-site and 1 day working from home, in San Francisco or Prague, Czech Republic

Salary: $200,000–$250,000 per year plus equity

Company

hirify.global is a fast-growing Series A startup building Agent Cloud infrastructure for AI labs and consumer and enterprise AI agents.

What you will do

• Build and operate production data pipelines for sandbox usage, cloud infrastructure, billing, accounting, and other operational data.
• Create shared data models and metric definitions that support consistent business analysis.
• Establish testing, monitoring, reconciliation, and alerting to detect missing data, inconsistencies, and unexpected changes.
• Partner with Finance on dependable datasets covering usage, revenue, costs, and margins.
• Enable self-service analysis, reporting, and AI-assisted querying through clear data structures and documentation.
• Improve source data quality and make practical architecture and tooling decisions for maintainable data systems.

Requirements

• Experience building and owning production data pipelines and warehouse models, including data foundations for incomplete or fragmented systems.
• Strong SQL and Python skills with sound practices for 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 typically around six or more years of relevant experience.

Nice to have

• Experience building data foundations at a startup or on a small team.
• Experience supporting Finance, Revenue Operations, Growth, or GTM.
• Experience with usage-based products, billing data, or cloud infrastructure costs.
• Experience building documented datasets for self-service analytics and AI tools.
• Finance domain expertise.

Culture & Benefits

• In-person engineering environment with a hybrid schedule of four office days and one work-from-home day.
• Healthcare, vision, and dental insurance.
• Unlimited paid time off.
• 401(k) and additional perks for in-office employees.
• Direct collaboration with Engineering, Finance, Growth, and GTM stakeholders.