Business Development Lead - AI Infrastructure
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
Shape Hammerhead's commercial strategy and build a prioritized go-to-market plan.
Build and own the pipeline from initial conversation through technical discovery, solution design, proposal, and commercial close.
Track macro trends in AI compute demand, GPU supply dynamics, power constraints, and data center deployment models. Translate signals into strategic moves.
Work closely with product and engineering to shape requirements, deployment models, and technical messaging based on direct customer feedback.
Help build the GTM playbook: sales collateral, case studies, competitive positioning, and objection handling frameworks.
Qualifications
Required
7-10+ years of experience in technology and infrastructure focused business development, partnerships, or strategic sales, with a strong concentration on the infrastructure side of compute (cloud, data center, GPU/accelerator ecosystem).
Experience navigating complex, multi-stakeholder technical buying processes across infrastructure, platform, and business teams.
Ability to toggle between strategic planning and hands-on execution. You are comfortable building from scratch in an early-stage environment with no existing playbook.
Excellent communication skills with both deeply technical and executive audiences.
Bachelor's degree in Engineering, Computer Science, Business, or a related field.
Preferred
Experience with power-constrained infrastructure, grid interconnection, or energy-aware compute scheduling.
Prior work with hyperscalers, GPU cloud providers, neoclouds, and other inference infrastructure providers, or large-scale AI platforms.
Familiarity with data center economics: power contracts, infrastructure financing, PPA structures, and colocation pricing models.
Experience at a hyper-growth startup (Seed to Series B stage) in AI infrastructure, data center, or energy technology.
MBA or Master's degree in a technical or business discipline.
What We Offer
Make an impact. Solve the AI power bottleneck and shape how data centers scale sustainably.
World-class team. Join AI, cloud, software, and energy experts - backed by advisors from Microsoft, CoreWeave, Groq, Dell, and Digital Realty - in a collaborative, low-ego environment.
Build from 0→1. Influence strategy, GTM, org design, and customer engagement from day one.
Competitive pay + equity. Stock options let you share in the value you help create.
Comprehensive benefits. Medical, dental, and vision.
On-site in Redwood City, CA preferred.
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.