Related skills
bigquery etl postgresql ruby on rails dbtπ Description
- Build AI data infrastructure, services, and agent tooling in production.
- Create eval harnesses, datasets, and monitoring for AI features.
- Own data quality across ingestion, modeling, and reporting.
- Build and maintain ETL systems moving data from apps/sources.
- Collaborate with product squads to give advisors real visibility into the business.
- Help others by sharing context early and writing clearly.
π― Requirements
- Production AI/ML experience: built and shipped AI systems in production you owned.
- Evals as engineering: you build evaluation systems and catch drift/regressions
- Data pipeline and service ownership: you own pipelines and services moving data to a warehouse.
- High agency: you turn ambiguous problems into working outcomes.
- Bonus: RoR or app DB experience; LLM eval/observability tooling; MCP tooling.
π Benefits
- Be part of a mission-driven team transforming travel planning space.
- Work with a supportive, curious, and creative team.
- Influence Tern's data and AI foundation from early days.
- Equity and benefits package.
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