Pear-VC
AI-Native Data Engineer - TrueMeter
San Francisco Bay Area. Posted 12 months ago
The role
You will own data and AI infrastructure end-to-end, including pipelines, databases, APIs, and foundations for coding agents and LLM workflows. You will work directly with the co-founder/CTO to shape how data moves from raw energy telemetry to business impact.
What you will do
- Building high-reliability data pipelines and APIs to connect to utilities and public energy sources.
- Architecting databases and ingestion systems for time-series energy data, billing, and telemetry.
- Designing GCP infrastructure for scale and cost efficiency.
- Building infra that allows coding agents and AI tools to automate workflows across the stack.
- Setting up CI/CD, observability, and automation.
- Documenting, communicating, and collaborating across tech and business.
Required qualifications
- Built production data systems before.
- Python
- TypeScript
- GCP
- SQL/NoSQL
About the company
TrueMeter is building an AI Energy Agent to help businesses pay for power and save on energy. The company was founded by Stanford alumni and is backed by Silicon Valley investors.