AI-Native Data Engineer - TrueMeter
At a glance
Mid-level Data Engineering role at Pear VC. Palo Alto · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Pear VC has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Create reliable pipelines and APIs that bring in information from utilities and public energy sources
- Shape storage and data intake for time-based energy readings, customer bills and usage telemetry
- Plan GCP services such as BigQuery and Cloud SQL to balance growth with infrastructure costs
- Build the foundations for coding agents and AI tools to handle work throughout the stack
- Set up delivery automation and monitoring, then communicate results in terms business and technical teams can follow
What you bring
- You have shipped production data systems with Python, TypeScript, GCP and SQL or NoSQL
- You can set direction, define the work and deliver without relying on close supervision
- You can explain technical decisions and outcomes to engineers as well as executives
Who this fits
This role suits a self-directed builder who can move quickly, launch an early version and strengthen it over time. You’ll work with the co-founder and CTO, and should be comfortable adapting as priorities change. The job is hybrid in the SF Bay Area, with three days onsite and two remote.
From the employer
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
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.
Who You Are
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.
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.
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