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Head of Enterprise AI Business

Seattle, WA

Compensation: $400K+

Travel Requirement: International travel required to India 8+ times per year

 

AI Foundry supports one of the world’s largest conglomerates—an organization with gigawatt-scale compute infrastructure, deep enterprise relationships across every major industry vertical, and the capital to build for the long term. We’re building an AI-native enterprise platform from the ground up: not bolting AI features onto legacy software, but rethinking what enterprise AI infrastructure and services look like when you start from an agentic OS at the core, backed by one of the largest AI infrastructure investments in India.

We’re looking for someone who can own the entire enterprise AI vertical end-to-end: business strategy, enterprise sales, partnerships, and commercial execution. You won’t be presenting someone else’s strategy—you’ll be in the room with senior leadership, major enterprise customers, and technology partners, driving the conversation, challenging assumptions, and closing deals. This role requires someone who can go toe-to-toe with the most senior people at hyperscalers, Big Four consultancies, and major enterprise buyers—and do it with substance, not slide decks.

If you’ve built enterprise technology businesses at scale and know the difference between talking about AI and actually deploying it for enterprise customers, this is your shot to build one from scratch with real backing, real autonomy, and a parent organization whose scale gives you a massive head start.

What You'll Do

  • Own the enterprise AI business end-to-end: strategy, revenue, enterprise sales, partnerships, and customer success across all enterprise-facing AI products and services
  • Translate the company’s agentic OS vision into a concrete enterprise product and services roadmap—defining how the platform is positioned, packaged, and sold to large enterprise, government, and institutional buyers
  • Represent the enterprise vertical in board-level and senior leadership settings; command the room with executives, investors, and major technology partners
  • Lead complex enterprise sales cycles and strategic partnerships; be the person in the room with CXOs making the business case for large-scale AI infrastructure and platform deals
  • Challenge vendor narratives with substance—when a chip vendor pushes a hardware roadmap that doesn’t add up, or a Big Four partner overstates their AI capabilities, you have the depth and confidence to call it out and redirect the conversation
  • Work closely with engineering and infrastructure teams to ensure enterprise requirements shape platform and product decisions
  • Build and lead an enterprise commercial team as the business scales
  • Stay deeply fluent in the AI landscape—enterprise AI platforms, inference infrastructure, agentic frameworks, and the competitive positioning of major players—and bring that fluency into every deal and strategic conversation
  • Travel regularly to India to work directly with engineering, infrastructure, and client teams

Who You Are

  • You’ve built or led an enterprise technology business at significant scale—ideally $50M+ in revenue—and understand the economics, sales cycles, and organizational dynamics of selling to large enterprises
  • You have meaningful experience at a major technology company (think hyperscaler, major enterprise software, or equivalent) and understand how large organizations buy and deploy technology, but you haven’t been slowed down by it—you still build, move fast, and make decisions without waiting for consensus
  • You are deeply AI-fluent: able to engage substantively on GPU architectures, model training and inference economics, agentic systems, and enterprise AI deployment—and you can tell when someone in the room is bluffing
  • You have exceptional executive presence—the kind of person who can sit across from a major vendor’s senior leadership and push back with data, experience, and conviction when their pitch doesn’t hold up
  • You’ve owned a P&L and understand the full commercial stack: pricing, margin structures, capacity planning, SLAs, and the economics of compute at scale
  • You are building right now—actively in the arena working on hard problems, not resting on credentials or reputation
  • You thrive in ambiguity and can define the playbook rather than follow one; you’re energized by building a business from zero with real resources behind it
  • You’re a strong communicator who can translate between deeply technical infrastructure teams and C-suite business stakeholders across geographies and time zones
  • You bring a background that combines deep technical knowledge with commercial leadership—e.g., engineering or infrastructure background with P&L ownership, or enterprise sales leadership with genuine technical depth
  • You have specific experience with enterprise AI infrastructure (GPU clusters, inference platforms, AI-as-a-service offerings) or enterprise AI positioning and sales at a hyperscaler, major cloud provider, or leading AI infrastructure company
  • You’re familiar with Indian market dynamics: enterprise buying patterns, regulatory environment, data localization requirements, and government procurement
  • You have existing relationships with enterprise technology buyers, system integrators, or key ecosystem partners in AI infrastructure

Benefits & More

  • Opportunity to shape AI strategy for 500M+ users
  • Small, sharp team culture that uses AI extensively in our own work
  • Medical and dental benefits
  • 401K

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