Strategic Partnerships — AI Ecosystem

ABOUT US

GridCARE is a leading venture-backed startup solving the most critical constraint in AI’s growth trajectory: immediate access to power. As demand for computing skyrockets, access to energy has become the defining bottleneck in the AI infrastructure race. While leading tech companies invest billions in speculative, long-term solutions that may take decades to arrive, GridCARE’s pioneering physics-based generative AI platform unlocks gigawatts of hidden capacity in today’s electric grid — enabling hyperscalers, data center developers, and utilities to power AI infrastructure years sooner than conventional approaches and without costly upgrades.

Founded at Stanford’s Doerr School of Sustainability and backed by leading climate-tech and deep-tech investors, GridCARE has assembled a world-class team spanning power systems, AI, and infrastructure.

At GridCARE, you will:

⚡ Work at the intersection of AI, energy, and infrastructure — the foundation of the next industrial revolution.

🤝 Partner with hyperscalers, developers, and utilities on high-impact, real-world deployments.

🌎 Help shape a more abundant, efficient, and resilient energy future for the digital era.

🚀 Join a company defining a new category — capacity acceleration for AI.

💰 Receive competitive compensation, equity, and benefits in a fast-growth, mission-driven environment.

Learn more about GridCARE:

• TechCrunch: GridCARE thinks more than 100 GW of data-center capacity is hiding in the grid https://techcrunch.com/2025/05/27/gridcare-thinks-more-than-100-gw-of-data-center-capacity-is-hiding-in-the-grid/

• Utility Dive: Portland General Electric invests in AI-powered flexibility to speed data-center connection https://www.utilitydive.com/news/gridcare-portland-general-pge-data-centers/803097/

• Data Center Dynamics: From Years to Months — Creating an AI Fast Lane for Data Centers https://www.datacenterdynamics.com/en/analysis/from-years-to-months-creating-an-ai-fast-lane-for-grid-connection/

JOB DESCRIPTION

GridCARE is seeking a Strategic Partnerships Leader to own and grow a select group of our most important commercial relationships across the AI compute and infrastructure ecosystem. This role sits at the intersection of AI infrastructure, cloud and software platforms, and energy — working with AI/compute companies, neoclouds, hyperscalers, and data center ecosystem partners to accelerate “speed-to-power” outcomes and expand GridCARE’s commercial footprint.

This is not a generalist energy partnerships role: it requires proven experience originating, structuring, and closing strategic partnerships with AI infrastructure companies, specifically GPU/AI accelerator providers and data center ecosystem players. The ideal candidate brings enough energy domain knowledge to confidently navigate grid constraints, interconnection, and the realities of power availability.

RESPONSIBILITIES

• Develop and own 3–5 strategic partner relationships end-to-end (e.g., AI accelerator / AI infrastructure / GPU compute providers / etc.), structuring deals and closing partners, acting as the day-to-day driver of each partner motion and point of accountability internally and externally.

• Develop partner strategies and joint execution plans: define goals, success metrics, stakeholder maps, partner priorities into actionable workstreams, and quarterly execution cadence for each partnership — including clear definitions of partner value tied to deployment timelines, power readiness, and infrastructure feasibility.

• Drive executive alignment and governance: prepare executive touchpoints, manage steering meetings, and keep both sides aligned on priorities, decisions, and timelines.

• Identify and execute high-leverage partner plays, including:

• Joint GTM motions and partner programs

• Product integrations and reference design collaboration across the AI infrastructure stack (compute, power, cooling, and site development)

• Customer introductions, co-selling pathways, pilots, events, and thought leadership

• Financing and delivery models that support accelerated deployments

• Translate partner requirements into internal workstreams: coordinate across Product, Engineering, Sales, Strategy, and Operations to scope requests, set expectations, and deliver outcomes without thrash

• Create and maintain partnership “operating system”: partner briefings, QBR decks, trackers, action logs, and decision records, ensuring execution is repeatable and scalable.

• Support commercialization: originate pipeline through partner channels, support partner deal strategy, and unblock customer-facing engagements tied to strategic accounts.

• Represent GridCARE externally: build credibility with senior stakeholders across the AI infrastructure ecosystem, communicating GridCARE’s story and differentiators clearly and consistently.

QUALIFICATIONS

Required

• Demonstrated experience originating, negotiating, closing and owning multi-stakeholder, strategic commercial partnerships specifically with companies in the AI infrastructure ecosystem -- GPU compute platforms, AI accelerator providers, AI infrastructure software platforms, and data center ecosystem organizations.

• Experience building and managing these relationships at the executive and C-suite level, including direct engagement with partner leadership on deal terms, strategic priorities, and escalations.

• A track record of measurable outcomes from these partnerships: pipeline generated, revenue influenced, scaled joint programs, or strategic product motions.

• Experience in partner-influenced enterprise selling, co-sell motions, and/or strategic financing deals.

• Ability to engage credibly in technical conversations and translate them into business outcomes.

• Excellent written and verbal communication; able to turn ambiguity into crisp, exec-ready plans and narratives.

• High ownership, strong project management, and comfort operating in an early-stage environment.

• Location Requirement: This is a Bay Area–based, hybrid role. Must currently reside in or be planning to relocate to the San Francisco Bay Area; regular in-person meetings at our Redwood City office and local client site visits are required. Remote candidates will not be considered.

Preferred

• Familiarity with the practical drivers of “speed-to-power” for large loads, and energy market concepts relevant to data center growth, such as:

• Power availability constraints and grid congestion

• Interconnection processes and timelines

• Load flexibility and phased energization

• Tariffs / rate structures at a high level

WHAT WE OFFER

• Competitive salary, performance bonus, and equity.

• Comprehensive health, dental, and vision coverage.

• Lunch provided three days a week in office.

• Hybrid schedule: 3 days in office for collaboration, 2 days remote for focused work.

• Access to leading academic, industry, and government partners in the AI-energy ecosystem.

• A mission-driven team focused on shaping the future of the energy transition.

Join us in tackling one of the most important infrastructure challenges of our time — enabling the energy foundation for the age of AI.