---
title: 'Senior Product Manager, Compute Platform at Emerald AI'
canonical: 'https://feeny.ai/job/senior-product-manager-compute-platform-emerald-ai-san-francisco-z7ps98raf8c1'
type: 'job'
last_seen: '2026-09-13'
---

# Senior Product Manager, Compute Platform at Emerald AI

- **Company:** Emerald AI
- **Location:** San Francisco, CA / San Jose, CA / Oakland, CA
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.ashbyhq.com/emerald-ai/f7e2b621-1e26-43b1-beda-1692aebae20b

## Job description

## 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 athttps://www.emeraldai.co/.

## About the Role

Emerald AI is building the software platform that enables AI infrastructure to intelligently orchestrate compute in response to power availability, grid conditions, and operational constraints. We are looking for a Senior Product Manager to own the core platform powering our technology. This is a highly technical product role where you'll work alongside engineering to define platform capabilities, translate complex customer and technical requirements into clear product direction, and drive execution from concept through production. You'll operate at the intersection of distributed systems, AI infrastructure, cloud platforms, and data center software. If you enjoy solving deeply technical infrastructure problems, partnering closely with engineers, and building products from first principles, we'd love to talk.

## Key Responsibilities

- Own the roadmap for Emerald AI's core compute platform, including workload orchestration, control plane capabilities, APIs, telemetry, and platform observability.
- Define product capabilities that intelligently orchestrate AI workloads across distributed compute infrastructure while ensuring reliability, scalability, and performance.
- Partner closely with engineering to translate product strategy into clear, technically rigorous requirements and execution plans.
- Drive the evolution of platform services, including workload power profile simulation, NVIDIA DSX integrations, and telemetry pipelines.
- Work directly with customers and internal stakeholders to understand infrastructure workflows, operational challenges, and platform requirements.
- Lead platform releases from planning through deployment, ensuring high quality, operational readiness, and a seamless customer experience.
- Prioritize platform investments by balancing customer value, technical complexity, and long-term architectural goals.

## Minimum requirements

- 5+ years of product management experience building infrastructure software, cloud platforms, or distributed systems.
- Experience delivering highly technical platform products, including APIs, control planes, or developer-facing infrastructure.
- Demonstrated ability to write exceptionally clear product requirements, technical specifications, and acceptance criteria.
- Proven ability to drive ambiguous technical problems from concept to execution while balancing customer needs and engineering constraints.
- Excellent prioritization, written communication, and cross-functional leadership skills.
- Comfortable operating in a fast-moving, early-stage startup environment and partnering closely with senior engineering teams.

## Preferred requirements

- Experience with AI infrastructure, GPU scheduling, or large-scale compute orchestration.
- Experience building platform or infrastructure software products.
- Familiarity with observability platforms, telemetry pipelines, monitoring systems, or infrastructure instrumentation.
- Experience with Kubernetes, workload schedulers (e.g., Slurm), or distributed compute platforms.
- Exposure to NVIDIA's AI software ecosystem, including NVIDIA DSX and related technologies.
- Experience with power-aware scheduling, workload optimization, or data center infrastructure is a plus.

## 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 2 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.

## About Emerald AI

## Company Overview
- **One-liner**: Emerald AI provides a platform that orchestrates AI data center workloads and onsite energy resources to enable power grids to use data centers as flexible, responsive assets.
- **Entity Type**: Private (Seed/Strategic Expansion)
- **Headquarters**: Washington, D.C., United States
- **Founded**: 2024
- **Founders**: Dr. Varun Sivaram (CEO)

## Core Business
- **Primary industry/industries**: Energy Technology, AI Infrastructure, Grid Flexibility
- **Target customers**: AI Innovators & Cloud Providers, Data Center Developers & Operators, Utilities, Regulators & Policymakers
- **Mission or purpose statement**: To solve the defining infrastructure challenge of our time by making AI data centers flexible grid allies, enabling AI innovation to grow in harmony with stronger, more affordable grids.

## Products & Services
- **[Emerald Conductor Platform](https://www.emeraldai.co/)**: An intelligent interface between power grids and data centers. It provides real-time connectivity, digital twin simulation, workload orchestration, and performance verification. The platform offers three types of flexibility:
    - **Temporal AI Flexibility**: Briefly slowing or pausing batchable AI workloads (e.g., fine-tuning) when the grid is stressed, then resuming within SLA guardrails.
    - **Spatial AI Flexibility**: Shifting workloads across data centers in different regions (e.g., from Virginia to Chicago) to where power is abundant, within latency bounds.
    - **Resource Flexibility**: Dispatching onsite batteries and other energy resources alongside compute orchestration for maximum, reliable flexibility.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of **$68 million** as of March 2026 (raised in just 16 months since founding).
    - **Strategic Expansion Round (March 2026)**: $25 million, led by Energy Impact Partners (EIP), with participation from Amplo, Eaton, GE Vernova, IQT (In-Q-Tel), Lowercarbon Capital, NVentures (NVIDIA’s VC arm), Radical Ventures, Salesforce Ventures, Samsung Ventures, Siemens, and others. [emeraldai.co](https://www.emeraldai.co/blog/sharing-our-strategic-expansion-round-emerald-ai-raises-25-million-to-transform-ai-data-centers-into-flexible-power-grid-assets)
    - **Prior Seed Round (July 2025)**: $34.2 million, led by Radical Ventures.
    - **Corporate Rounds**: Led by Siemens Smart Infrastructure (March 2026) and National Grid (October 2025).
- **Notable Investors/Partners**: NVIDIA, Digital Realty, EPRI, PJM Interconnection, Siemens, National Grid, Energy Impact Partners, Lowercarbon Capital, Salesforce Ventures, Samsung Ventures, GE Vernova, Eaton, AES, Constellation, Invenergy, NextEra Energy, Nscale Energy & Power, Vistra.
- **Growth Signals**:
    - **Headcount**: 34 employees (as of mid-2026), with a monthly growth rate of +2.6% and a quarterly job posting growth of +61.1%. [linkedin.com](https://www.linkedin.com/company/emerald-ai-1)
    - **Live Demonstrations**: Completed five live demonstrations at commercial data centers across Arizona, Illinois, Virginia, Oregon, and London in collaboration with EPRI and NVIDIA. [emeraldai.co](https://www.emeraldai.co/blog/sharing-our-strategic-expansion-round-emerald-ai-raises-25-million-to-transform-ai-data-centers-into-flexible-power-grid-assets)
    - **Key Milestones**:
        - Published first peer-reviewed evidence of AI power flexibility in *Nature Energy*.
        - Demonstrated spatial flexibility by shifting inference workloads from Virginia to Chicago.
        - UK’s first live demonstration of grid-responsive AI infrastructure in London (reduced electricity demand by more than a third in under a minute).
        - Integration with NVIDIA DSX Flex to turn AI factories into power-flexible grid assets.
        - Collaboration with NVIDIA and major energy producers on a new class of flexible AI factories based on the NVIDIA Vera Rubin DSX reference design.
    - **Strategic Advisory Board**: Launched in March 2026, including seven Fortune 500 companies. [emeraldai.co](https://www.emeraldai.co/blog/sharing-our-strategic-expansion-round-emerald-ai-raises-25-million-to-transform-ai-data-centers-into-flexible-power-grid-assets)

## Competitive Advantages
- **First-Mover in a Critical Niche**: Positioned at the exact intersection of AI infrastructure and energy grid management, a growing bottleneck for AI growth.
- **Proven Technical Validation**: Has published peer-reviewed research in *Nature Energy* and completed five live demonstrations with major industry partners (NVIDIA, EPRI, Digital Realty).
- **Unmatched Ecosystem of Partners**: Backed by strategic investors across the entire value chain: AI (NVIDIA), energy (Siemens, National Grid, GE Vernova, Eaton), and finance (EIP, Lowercarbon Capital). This provides direct access to customers and deployment channels.
- **High-Caliber Team**: Founded by Dr. Varun Sivaram (former Fortune 500 C-suite energy executive, senior U.S. diplomat, Rhodes Scholar, physicist, author). Chief Scientist is Prof. Ayse Coskun (Director of Boston University’s Center for Information and Systems Engineering, pioneer in flexible AI and HPC). Head of Engineering is Shayan Sengupta (20 years of hyperscale cloud and AI leadership from Amazon and Intel). [emeraldai.co](https://www.emeraldai.co/)
- **Clear Value Proposition**: Solves a trillion-dollar problem: unlocking up to 100 GW of grid capacity for AI data centers without building new power plants, while strengthening grid reliability and protecting ratepayers.

## Strategic Focus
- **Commercial-Scale Deployment**: The primary focus for 2026 is moving from demonstrations to commercial-scale deployment. The company is targeting the world’s first power-flexible AI factory at commercial scale: the 96MW NVIDIA Aurora facility in Manassas, Virginia. [emeraldai.co](https://www.emeraldai.co/blog/sharing-our-strategic-expansion-round-emerald-ai-raises-25-million-to-transform-ai-data-centers-into-flexible-power-grid-assets)
- **Scaling the Platform**: Using the $25 million strategic expansion round to scale the Conductor platform globally.
- **Policy & Regulatory Engagement**: Actively working with regulators and policymakers to establish data centers as credible grid resources, as evidenced by their collaboration with the U.S. Department of Energy's Genesis Mission Consortium. [emeraldai.co](https://www.emeraldai.co/)
- **Expanding the Ecosystem**: Deepening partnerships with utilities, data center operators, and AI innovators to standardize power-flexible AI infrastructure.

## Why Work Here
- **Mission-Driven Impact**: The company is tackling one of the most critical infrastructure challenges of the AI era — the energy bottleneck. Employees work at the intersection of AI and climate/grid resilience.
- **High-Growth, Well-Funded Startup**: With $68 million raised in 16 months and a clear path to commercialization, the company is in a hyper-growth phase (61.1% quarterly job posting growth).
- **World-Class Team & Culture**: The company has assembled a team that "speaks every language fluently" — from hyperscale cloud architects and AI researchers to grid scientists and energy policy diplomats. [emeraldai.co](https://www.emeraldai.co/)
- **Active Hiring**: As of mid-2026, there are **29 active job postings** across engineering, product, policy, and business roles. [linkedin.com](https://www.linkedin.com/company/emerald-ai-1)
- **Global Presence**: Operates in 5 countries (U.S., Denmark, Canada, South Korea, Egypt), offering potential for international exposure. [linkedin.com](https://www.linkedin.com/company/emerald-ai-1)
- **Notable Perks/Environment**: The company is built by veterans from top-tier tech (Amazon, Intel, NVIDIA, AMD) and energy sectors, suggesting a high-performance, intellectually rigorous environment. The mission combines cutting-edge tech with real-world power systems.

## Sources
1. [emeraldai.co](https://www

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