Strobe is building the world's largest power plant: not a single site, but a distributed fleet of buildings, batteries, EVs, and generators that buy and sell power in real time across wholesale energy markets.
Own the data that runs the fleet: telemetry from every site, utility bills and interval data, and wholesale market prices, cleaned, joined, and ready for dispatch, forecasting, billing, and settlement.
What you'd own
- Pipelines that ingest utility interval, billing, and meter data through Green Button Connect (ConEd, PG&E, SCE) and other utility sources
- Wholesale market data from NYISO, PJM, and CAISO: real-time and day-ahead prices, load, capacity, and settlement files
- Site telemetry at fleet scale: time series from batteries, generators, and meters
- The data models that dispatch, forecasting, bill validation, and customer reporting all read from
- Data quality: freshness and gap alarms, backfills, and reconciliation against utility bills and ISO settlements
- Weather and load inputs for forecasting
Strong fit if you have
- Strong Python and SQL, and production pipelines you built and ran end to end
- Time-series and columnar data at scale (ClickHouse or similar)
- AWS data tooling (Lambda, S3, Kinesis, EventBridge) managed through Terraform
- Experience with messy external data: inconsistent APIs, late or revised data, timezone and DST edge cases
- Rigor about correctness when the numbers end up on a customer's bill or in a market settlement
Bonus points
- Familiarity with utility tariffs, interval data (ESPI / Green Button), or ISO market data
- Forecasting or ML feature pipelines
- Dashboards and data observability (Grafana or similar)
Stack: Python / SQL / AWS (Lambda, S3, Kinesis, EventBridge) / ClickHouse / Terraform / Grafana. AI-agent-native monorepo with deep investment in agent-enabled engineering efficiency.
Small team, high ownership, no layers.