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Emerald AI

Orchestrates AI workloads under grid stress

Technical Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeOakland, CA, USA

About the Job

Requirements

  • At least 5 years of experience in Technical Program Management, Engineering, or similar cross-functional roles.
  • Strong technical fluency with the ability to engage with engineers on architecture, systems, and tradeoffs.
  • A proven track record of delivering complex, cross-functional technical programs.
  • The ability to influence without authority and balance execution with strategic thinking.
  • Experience operating in fast-moving, ambiguous environments.
  • Strong problem-solving skills and attention to detail.

Responsibilities

  • Lead technical programs with strategic partners, aligning roadmaps, milestones, and deliverables.
  • Break down complex initiatives into clear workstreams, timelines, and dependencies.
  • Translate requirements, constraints, and system designs across organizational boundaries.
  • Establish and improve program management processes, tools, and operating rhythms.
  • Identify and resolve cross-company risks, misalignments, and dependency gaps.
  • Support partner integrations, deployments, and technical collaborations.
  • Contribute to success metrics, including deliverables, timelines, and outcomes.

Desired Qualifications

  • Startup experience.
  • A background in software engineering, systems engineering, or technical operations.
  • Experience working with external partners, vendors, or ecosystem stakeholders on technical programs, including NVIDIA, hyperscalers, or original equipment manufacturers.
  • Experience working with AI infrastructure, data centers, or distributed systems, including familiarity with compute, networking, or power constraints.

About the Company

Emerald AI

Orchestrates AI workloads under grid stress

Emerald AI builds Emerald Conductor software that optimizes AI data-center workloads by analyzing delay tolerance and grid signals to slow, pause, cap, or shift deferrable tasks during grid stress. It targets compute infrastructure, not just cooling, to free up more than 100 GW of unused U.S. grid capacity for AI growth without building new generation or transmission. The system uses policy-driven actions to re-time or throttle deferrable jobs based on workload tolerance and grid conditions, demonstrated in field tests such as a May 2025 Phoenix demo where a 256-GPU cluster’s base load fell about 25% for three hours. Emerald differentiates itself through compute-side demand management and partnerships with Nvidia, Oracle, Nebius, EPRI, National Grid and more, aiming to expand flexible grid capacity for AI with real-time coordination and strong investor support.

Company size
51-200
Company stage
Series A
Total funding
$217.5M
Headquarters
Washington DC, District of Columbia
Founded
2025

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