The Problem to solve

Utility systems weren't built to connect seamlessly with a DER platform. CIS holds the customer record, while ADMS and Grid DERMS drive real-time grid decisions. Each system operates with its own data model, security posture, and review process. You will be the key leader who transforms that fragmentation into a coherent, streamlined integration strategy.

The Role

As the Lead Product Manager (Senior), you will own how EnergyHub connects and integrates with utility operational systems, ensuring we understand our mutual end-customers (CIS), manage distribution grid conditions (OT systems), and unlock automation opportunities that drive value. This is a focused mandate where you will own the utility-facing integration surface end to end. Over time, your team will leverage internal APIs built by core platform teams to solve the "last-mile" challenge, building a robust set of outward connectors and an ecosystem of software vendors and system integration partners.

This role reports to a Director of Product and will collaborate with stakeholders across the company, including other product managers, engineers, data scientists, sales, solutions engineering, and client success.

Why this role matters

You are the technical face of EnergyHub inside utility control rooms and IT departments. Strong utility relationships depend on whether client technical teams trust and derive long-term value from our integrations.
Sticky integrations drive both revenue growth and client retention. Your products will save time for customers, unlock new VPP use cases on the grid, improve renewal rates, and boost post-integration NPS scores.

What you’ll do

Own the product roadmap for utility system integrations across CIS, ADMS, and Grid DERMS, balancing multiple integration channels to optimize investment across each.
Extend internal APIs outward into a polished, cohesive, and highly performant public API surface.
Drive enrollment automation logic to seamlessly onboard customers and their DER assets into program eligibility and lifecycle systems.
Accelerate customer onboarding and time-to-value through developer-friendly API usability tools, including SDKs, quick-start guides, test datasets, and clear documentation.
Partner with core platform teams to shape data model extensions across key domains required for platform-wide automation and analysis.
Translate complex utility technical constraints into clear product requirements that balance long-term platform stability with rapid deal execution.
Other duties as assigned.

Requirements

6-8+ years of software product management experience, with meaningful ownership of APIs, platform products, or third-party integrations.
Deep utility operations knowledge, including familiarity with systems like CIS and ADMS.
Comfort navigating security, compliance, and IT governance reviews alongside client technical teams.
A track record of taking messy, non-standard requirements from multiple stakeholders and turning them into a coherent product plan.

Strong plus

Direct exposure to utility control room operations, NERC CIP requirements and/or Customer Information Systems.
Prior experience with API products, in-house utility environments, enterprise integrations, or solutions engineering.

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Why work for EnergyHub?

Collaborate with outstanding people: Our employees work hard, do great work, and enjoy collaborating and learning from each other.
Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the team!
Gain well rounded experience: EnergyHub offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
Work with the latest technologies: You'll gain exposure to a broad spectrum of IoT, SaaS and machine learning obstacles, including distributed fault-tolerance, device control optimization, and process modeling to support scalable interaction with disparate downstream APIs.