drjobs Platform Engineer (Data) - EcoTrove

Platform Engineer (Data) - EcoTrove

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1 Vacancy
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Job Location drjobs

Austin, TX - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Platform Engineer (Data)

San Francisco Bay Area Hybrid (3 Days Onsite 2 Days Remote)

About EcoTrove

EcoTrove () is an AI Energy Agent that is becoming the default way any business pays for power.

The U.S. power grid is undergoing a once-in-a-generation transformation. Power bills are growing 3x faster than inflation our grid struggles to keep up with increased demand from data centers and renewable energy adoption is still stagnating. EcoTroves product is the one-stop shop for any business that wants to consolidate their power bills into a cheaper fixed-price subscription.

Youll join us at this pivotal momentowning EcoTroves data pipelines and governance scaling our impact to every single utility and business in the US and empowering the leading models for energy optimization. If youre excited to work at the intersection of energy software and sustainability wed love to meet you.

EcoTrove is a seed-stage company backed by leading Silicon Valley investors and we are building a team of innovators passionate about redefining the energy industry with data and AI. After launching an MVP in May 2024 we have already onboarded millions of dollars of power bills from great brands.

The Role
As Data & Platform Engineer you will own and maintain EcoTroves data pipelines proprietary data sources cloud infrastructure and LLM stack employed to structure data. Working directly with the co-founder and CTO you will be expected to grow as an engineering leader as EcoTrove scales.

What youll own

What were looking for

Why join us now

This is a rare chance to shape the very foundations of EcoTroves core technology as we scale. Youll be part of a hypergrowth team owning critical systems endtoend and helping us change the U.S. utilities market as we make a real dent in its carbon emissions.

If you like tackling messy data challenges building platforms and mentoring teammates lets talk.

Employment Type

Full-Time

About Company

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