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Heron Power

Product Manager - AI Data Centers

Heron Power, Scotts Valley, California, United States, 95066

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What to Expect Heron Power is a startup company building cutting‑edge power electronics for the 21st‑century grid. We aim to debottleneck the growth of electricity generation and consumption with scalable, innovative, and less costly hardware solutions, accelerating the electrification of everything.

Our first goal is to build better converters (inverters & rectifiers) to connect large‑scale renewables, storage, and loads to the grid. Heron Power’s leadership team is made up of seasoned veterans who have designed and shipped gigawatts of power conversion products over the past decade.

We understand that no one individual knows everything. We will all learn a lot together and from each other. We strive to build a collaborative, enriching environment conducive to personal, technical, and career growth. You can expect to work in a dynamic and collaborative environment, driven by first principles engineering, solving difficult problems.

Job Overview As

Product Manager – AI Data Center , you’ll lead the definition and execution of Heron Link for data center applications—owning the product from concept to deployment. Your focus will be on the intersection of grid‑scale power systems and compute infrastructure, working with engineering and commercial teams to shape product direction, requirements, and customer success.

This role is ideal for someone with a strong power systems background who wants to build next‑generation infrastructure products for the AI era.

How You Will Contribute

Define and own the product roadmap for Heron Link in AI and hyperscale data center markets

Translate technical customer requirements (voltage, redundancy, protection, controls) into clear product specs

Serve as a technical bridge between customers, engineering, and sales teams

Lead early deployment efforts with customers, ensuring alignment between system architecture and real‑world operating conditions

Build and maintain technical collateral, including one‑line diagrams, interface specifications, commissioning guides, and grid interconnection materials

Track industry standards and trends, including evolving AI power density needs, backup architectures, and power distribution models

Collaborate with compliance, certification, and testing teams to ensure the product meets data center and grid interconnection requirements

What You Will Bring We’re looking for a technical product leader with strong instincts in power systems and a bias toward action. This is not a typical software PM role—it’s for someone who understands megawatt‑scale systems and thrives at the intersection of hardware, customer needs, and system design.

Must Have Requirements

5+ years in product, systems, or applications engineering roles related to power electronics, electrical infrastructure, or data centers

Experience with MV/LV power distribution systems, inverters, rectifiers, UPS systems, or backup architectures

Ability to develop and communicate technical requirements across engineering and customer teams

Familiarity with utility interconnection, electrical protection schemes, and power quality considerations

Hands‑on experience working with field teams, commissioning, or product integration

Strong communication skills and the ability to lead cross‑functional workstreams

Nice to Haves

Background in data center electrical design or operation (hyperscale or colocation)

Experience with Open Compute Project (OCP) standards, IEC/IEEE standards, or Uptime Tier compliance

Prior work with EPCs, OEMs, or power system integrators

Knowledge of AI‑specific compute trends (e.g. rack power density, 48V/800V distribution, AI workloads & fluctuations)

If you’re passionate about building infrastructure that can meet the demands of the AI era—and want to work on power systems that scale with compute we’d love to talk.

Heron Power offers competitive compensation (salary and equity) and benefits. The base salary range for this role is $120,000 to $200,000 per year, depending on experience.

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