Business Development
Posted 28 Apr 2026
Advertised as “Business Development Lead - AI Infrastructure”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7–10 yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
No salary listed for this role.
Field of studyBusiness, Computer Science, Engineering (or related)
Study levelBachelor's
CertificationsMaster of Business Administration
Field of studyBusiness, Technical
Study levelMaster's
About Hammerhead
We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.
At Hammerhead, you will:
⚡ Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure
🤝 Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
🌎 Contribute to building a more efficient and sustainable future for AI compute.
🚀 Join a company at the cutting edge of modern data center design and operation
💰 Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.
🚀Learn from an experienced team that has built and sold startups before
Learn more about Hammerhead
About the Role
We are seeking a Business Development Lead to enable high-value AI compute use cases.
This is a hands-on, 0-to-1 role with significant influence over strategy, positioning, and early revenue. You will report to the Head of GTM.
Key Responsibilities
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Shape Hammerhead's commercial strategy and build a prioritized go-to-market plan.
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Build and own the pipeline from initial conversation through technical discovery, solution design, proposal, and commercial close.
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Track macro trends in AI compute demand, GPU supply dynamics, power constraints, and data center deployment models. Translate signals into strategic moves.
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Work closely with product and engineering to shape requirements, deployment models, and technical messaging based on direct customer feedback.