Pear Vc

AI-Native Data Engineer - TrueMeter

8mo ago

USAdata pipelinesapisdatabases

Build and own data and AI infrastructure, including pipelines, databases, APIs, and workflows for an AI energy startup.

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.

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.

AI-native — curious, self-taught, and excited about pushing the boundaries of what LLMs and agents can do in real systems.
Nimble builder — you can ship an MVP in a short time, then iterate it into something robust.
First-principles thinker — you choose tools based on logic, not hype, and can build an efficient and cost-effective infrastructure.
Communicator — you can explain your work to both engineers and execs, and they’ll actually get it.
Independent executor — you don’t need handholding; you define, scope, and deliver.
Startup-aware — you know priorities will change, things will break, and that’s part of the thrill.
Ambitious — you care deeply about impact and are willing to put in the work to want to help build something big.
If you’ve built production data systems before (Python, TypeScript, GCP, SQL/NoSQL) and love learning new tools, you’ll fit right in.

📍 SF Bay Area | Hybrid (3 days onsite, 2 remote)
Building high-reliability data pipelines and APIs to connect to dozens of utilities and public energy sources.
Architecting databases and ingestion systems for time-series energy data, billing, and telemetry.
Designing GCP infrastructure (e.g., BigQuery, Cloud SQL, Secret Manager) 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 to keep us shipping fast and clean.
Documenting, communicating, and collaborating across tech + business — translating your work into impact metrics everyone can understand.
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.