AI-Native Data Engineer - TrueMeter
Company: Pear VC
Location: Palo Alto
Posted on: April 1, 2026
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Job Description:
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.
Keywords: Pear VC, Manteca , AI-Native Data Engineer - TrueMeter, IT / Software / Systems , Palo Alto, California
