Head of Business, AI Infrastructure
Location: Seattle, WA/Remote; open to candidates anywhere in the U.S.
Compensation: $250K–$400K+, depending on experience
In-Office Policy: Flexible/Remote with office space available if located in Seattle; international travel to India required
My client is building a gigawatt-scale AI infrastructure business from scratch—not just a data center, but a full compute services operation that will serve enterprises across India and beyond. Think AWS or Azure, but AI-native and purpose-built for the next decade of workloads.
We're looking for someone who can turn massive GPU infrastructure into a real business. You understand cloud economics at a deep level, you've owned a P&L, and you know how to price, package, and sell infrastructure services to enterprises. This isn't a strategy role where you make slides, you'll be building the commercial engine for one of the largest AI infrastructure investments in India, working from the US with a small, sharp team.
If you've spent time at a hyperscaler and wondered what it would be like to build that from the ground up with real backing and real scale, this is your shot.
What You’ll Do
Own the P&L for AI infrastructure services end-to-end: revenue, margin, unit economics, capital efficiency
Build pricing models and commercial structures for GPU-as-a-service, inference endpoints, dedicated clusters, and hybrid deployments
Define target customers and go-to-market strategy across AI startups, enterprise ML teams, research institutions, and government
Lead enterprise sales cycles for large infrastructure deals; you'll be in the room with CXOs making the case
Work with technical teams to translate customer requirements into infrastructure specs and SLAs
Lead calls with overseas teams to review progress, present business strategy, and align on commercial priorities
Track the competitive landscape: AWS, Azure, GCP AI services, plus AI-native players like CoreWeave, Lambda, and Crusoe
Build and lead a commercial team as the business scales
Travel to India periodically to work directly with infrastructure and client teams
Who You Are
You've owned a cloud or infrastructure services P&L, ideally $50M+ in revenue; you understand the economics of compute at scale
Prior experience at a hyperscaler (GCP, Azure, AWS) or major colocation/managed services provider; you know how these businesses actually work
Deep fluency with cloud pricing, capacity planning, consumption models, and margin structures; you can build the financial model, not just review it
Comfortable selling to enterprises; you've been in rooms with CXOs and closed large infrastructure deals
Technically fluent enough to have credible conversations about GPU architectures, networking, and AI workloads—you don't need to configure a switch, but you need to know why InfiniBand matters
Hungry to build something from scratch; you're not looking for a role where the playbook already exists
Comfortable with ambiguity; you'll be defining the business model as you go, not executing an existing one
Strong communicator who can translate between technical teams and business stakeholders across time zones
Comfortable working with global teams; you can hold a high bar while being collaborative and collegial with overseas colleagues
Nice to Have
Specific experience with AI/ML infrastructure (GPU clusters, training services, inference platforms)
Familiarity with India market dynamics: enterprise buying patterns, regulatory environment, data localization requirements
Background with large industrial conglomerates or sovereign-backed technology ventures
Existing relationships with enterprise and government buyers in emerging markets
Benefits and More
Competitive compensation
Medical and Dental benefits
401K
Office space in Seattle with remote flexibility, we value quality candidates over location
Ground-floor opportunity to shape AI product strategy for 500M+ users
Direct reporting to leadership with minimal bureaucracy
Small, sharp team culture that uses AI extensively in our own work