Product Manager, Grid Services

Posted 24 Days Ago
9 Locations
Remote or Hybrid
Senior level
Artificial Intelligence • Software • Energy • Renewable Energy
The Role
The Product Manager will own the roadmap for grid services, coordinating AI workloads and grid signals to enhance energy efficiency and ensure reliability. Responsibilities include defining system capabilities, leading customer pilots, and partnering with engineering on real-time control systems.
Summary Generated by Built In
About Emerald AI

We’re at a pivotal moment for AI and energy. Demand for compute is skyrocketing, but power constraints are becoming a critical bottleneck. Emerald AI sits at the intersection of these two worlds, enabling AI data centers to scale without overwhelming the grid.

Our Emerald Conductor software platform makes data centers flexible and responsive, allowing them to adjust power usage dynamically. This unlocks massive AI growth without major new infrastructure, while also strengthening the grid and supporting the expansion of renewable energy.

We’re a team of experts across AI, cloud, software, and energy—on a mission to scale AI sustainably. We’re backed by leading investors and partners including Radical Ventures and NVIDIA.

Learn more about our vision, team, and backers at https://www.emeraldai.co/.

About the Role

We’re looking for a Product Manager, Grid Services to own the roadmap for Emerald AI’s grid-interactive orchestration capabilities.

In this role, you will define the systems that allow AI data centers to respond intelligently to energy constraints, utility signals, and grid events—while preserving workload reliability and performance. You’ll work across software, energy markets, and data center infrastructure to build products that coordinate telemetry, forecasting, controls, and optimization logic in real time.

This is a highly strategic and technical role at the intersection of AI infrastructure, data center operations, and grid services. You’ll help define how flexible AI load participates in grid programs, how infrastructure responds to real-time constraints, and how Emerald delivers economic value to both customers and the power system.

Key Responsibilities
  • Own the roadmap for Emerald AI's grid services and energy orchestration products

  • Define product capabilities to coordinate compute workloads in response to grid signals, supporting Emerald’s dual goals of accelerating speed to power and enabling Data Centers to be flexible grid resources

  • Collaborate with customers, utilities, and partners to identify requirements for Emerald’s suite of products

  • Collaborate with Engineering and Grid Services teams to build resilient data and software systems to interface with diverse energy and compute resources

  • Develop business cases for infrastructure savings, operational efficiency, and grid services revenue

  • Lead customer pilots from solution design through commercialization

Minimum requirements
  • 5+ years of product management experience in energy systems, grid operations, or related infrastructure software

  • Expertise in US ISO/RTO wholesale markets, products and operations

  • Experience with utility tariff structures, demand response program design, implementation and M&V methodologies

  • Familiarity with transmission planning processes, grid constraint management, and interconnection workflows for large loads

  • Familiarity with energy asset telemetry, controls and ISO/RTO compliance requirements

  • Strong verbal and written communication skills and demonstrated ability to translate deeply technical topics to multiple non-technical stakeholders

  • Shape Emerald AI's go-to-market strategy for grid services, including market prioritization, program selection, and utility and ISO/RTO engagement

  • Comfortable operating in fast-moving, ambiguous environments like an early-stage startup

Preferred requirements
  • Familiarity with SCADA, EMS, DERMS, ADMS, or utility integrations

  • Familiarity with FERC orders, NERC standards, or state PUC regulatory frameworks

  • Experience building 0→1 infrastructure software products

  • Exposure to AI infrastructure, GPU workloads, or data center operations is a plus

  • Previous experience at SaaS companies in the energy space

What We Offer
  • Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.

  • Join a world-class team of AI, cloud, software, and energy experts in a collaborative, low-ego environment.

  • Build from 0→1. Influence strategy, GTM, org design, and customer/investor engagement from day one.

  • Competitive pay + equity. Stock options let you share in the value you help create.

  • Comprehensive benefits, including medical, dental, vision, and 401(k) matching.

  • Flexible location. Work from D.C., Boston, or the Bay Area, with 1 WFH day/week.
    Backed by top investors, including Radical Ventures and NVIDIA.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

Emerald AI strives to respect the dignity and ‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees.

Inclusiveness is core to our culture at Emerald AI, and we strive to ensure you get the most from your interview experience. Emerald AI makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to the Talent team.

Skills Required

  • 5+ years of product management experience in infrastructure software, energy systems, or industrial controls
  • Expertise in energy software systems used by grids and/or data centers
  • Experience with regulatory compliance and M&V for energy orchestration
  • Experience with demand response, grid services, or energy market products
  • Experience with telemetry, automation, optimization, or controls products
  • Strong technical writing and cross-functional leadership skills
  • Ability to evaluate tradeoffs across performance, reliability, and economics
  • Comfortable operating in fast-moving, ambiguous environments

Emerald AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Emerald AI and has not been reviewed or approved by Emerald AI.

  • Healthcare Strength Benefit descriptions consistently emphasize medical, dental, and vision coverage as part of the standard package. This signals a baseline level of health coverage that is positioned as comprehensive for roles being advertised.
  • Retirement Support Benefit language repeatedly includes 401(k) matching as part of the rewards package. This indicates retirement support is explicitly incorporated rather than left unspecified.
  • Equity Value & Accessibility Compensation positioning includes equity via stock options alongside pay. This frames ownership participation as a meaningful component of the overall rewards approach.

Emerald AI Insights

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The Company
26 Employees
Year Founded: 2024

What We Do

Emerald AI transforms energy-intensive data centers into AI-powered grid allies. The Emerald AI Conductor platform enables AI data centers to flexibly adjust their power consumption from the electricity grid on demand, orchestrating the computing loads of inference, training, and fine-tuning AI models across a network of data centers to bolster the power grid’s reliability while meeting strict compute performance standards. Flexibility could unlock up to 100 GW, or more than a decade of U.S. AI data center growth and trillions in AI investment, without enormous investments in electric grids or power plants—advancing innovation and competitiveness, ensuring power affordability for communities across the country, and bolstering the reliability of the electric power system.

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