AI-Native Data Engineer @ TrueMeter
SF Bay Area | Hybrid (3 days onsite, 2 remote)
About Us
We're building the AI Energy Agent that's becoming the default way any business pays for power and saves on energy.
The grid is breaking under the weight of AI and electrification - data centers are driving record demand, renewables are lagging, and energy costs are climbing 3x faster than inflation. Businesses are desperate for predictability and control.
TrueMeter fixes this. We turn messy, multi-utility bills into a single, cheaper, fixed-price subscription - powered by AI.
We launched our MVP in May 2024. Since then, we've onboarded millions in energy bills from great brands and proven that what we're building... works.
We're Stanford-alum founders backed by top Silicon Valley investors, growing fast, and hiring an elite set of AI-native engineers to help us scale.
The Role
We're looking for someone who loves building things from scratch - fast. You'll own our data and AI infrastructure end-to-end: pipelines, databases, APIs, and the foundations for coding agents and LLM workflows.
You'll work directly with the co-founder/CTO, helping shape how data moves through the company - from raw energy telemetry to real-world business impact.
This is a startup role in the truest sense: priorities change, speed matters, and the impact is huge.
You'll Work On
Who You Are
If you've built production data systems before (Python, TypeScript, GCP, SQL/NoSQL) and love learning new tools, you'll fit right in.
Why TrueMeter
We're early - which means you'll have real ownership, not just tasks. You'll design systems that last, see your work ship in days (not quarters), and help shape a company whose vision is to redefine energy management for every business in America.
We move fast, we think from first principles, and we care deeply about impact - on customers, the grid, and the planet.
If that sounds like your kind of challenge, we'd love to talk.
FULL TIME
mid
4/30/2026
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