Energy Optimization Manager

At Applied Digital
, we are the epicenter of AI innovation, crafting cutting‑edge data center solutions tailored for the demands of high‑performance computing. Designed from the ground up to support AI and machine learning workloads, our infrastructure is the backbone of tomorrow’s technological advancements, including AI‑driven video and generative platforms.

We are
:

• Forward‑Thinkers: With a keen eye on current market trends and future innovations, we adapt swiftly and lead technological evolution.
• Resilient: We navigate complex challenges and emerge stronger, delivering robust and reliable solutions for industry pioneers.
• Innovative Designers: Leveraging the latest technologies, we create visionary solutions that redefine industry standards.

We remain committed and steadfast in solving intricate problems, advancing business initiatives, maximizing operational efficiency, and reducing our carbon footprint. We are a team of resilient, forward‑thinking innovators driving the AI revolution.

The Energy Optimization Manager oversees the strategic, operational, and real‑time execution of Applied Digital’s energy optimization programs across North Dakota data center sites. This leadership role is responsible for developing and executing curtailment strategies, shaping forecasting and optimization workflows, and aligning market‑driven decisions with site‑level operational needs.

This position requires deep knowledge of utility behavior, power system operations, market fundamentals, and industrial load management. Unlike a traditional speculative trading role, this role focuses on operational energy optimization
, leveraging price formation, grid conditions, and commercial structures to minimize cost and maximize efficiency.

The ideal candidate comes from a utility, power plant, ISO, or merchant generation background
, where they have led or executed real‑time decisions affecting system dispatch, load balancing, or price exposure management.

• Own Applied Digital’s energy optimization program across North Dakota, including real‑time, day‑ahead, and intraday decision‑making.
• Develop optimization strategies tailored to market rules, operational constraints, and facility‑level performance characteristics.
• Build and maintain a decision‑making framework for Operators and support staff to ensure consistent, safe, and financially optimized outcomes.
• Lead peak‑volatility operational windows (~6–10 AM and ~5–9 PM), ensuring high‑quality, time‑sensitive decisions.
• Partner with Finance, Engineering, Operations, and Data Center Site Leads to align optimization strategy with business outcomes.
• Determine curtailment windows using day‑ahead forecasts, congestion patterns, historical pricing behavior, and weather‑driven load variations.
• Oversee execution of real‑time curtailment actions and verify proper operational compliance.
• Review performance of prior‑day curtailments, identifying improvement opportunities and updating SOPs.
• Implement operational guardrails around ramp rates, cooling cycles, generation interactions (if applicable), and facility constraints.

• Serve as the primary liaison with utilities, cooperatives, transmission providers, and relevant market operators.
• Interpret transmission constraints, outage notifications, system advisories, and tariff implications.
• Ensure compliance with utility protocols, curtailment communication requirements, and reporting expectations.
• Maintain strong working relationships with external market and operations partners.
• Collaborate with Analysts to continuously improve load forecasting, weather analysis, LMP prediction models, and congestion risk assessments.
• Establish KPIs to track optimization accuracy, response speed, and value capture.
• Develop dashboards and reporting workflows to provide leadership with real‑time visibility into optimization performance.

• Mentor Operators, Analysts, and Schedulers to expand overall real‑time coverage capability.
• Build structured training programs that teach Operators foundational concepts such as LMP formation, system…