Business Development, Strategic Initiatives
Join a vertically integrated AI infrastructure company to bridge advanced AI labs and internal teams, translating complex technical requirements into product roadmap and capacity planning. This role drives nine-figure compute deals and shapes the future of AI cloud platforms.
Responsibilities
- Lead and close multi-year compute and managed inference deals exceeding $100M TCV with top AI developers.
- Translate highly technical requirements of key clients into actionable directives for Product and Engineering leadership.
- Partner with Data Center Infrastructure and Energy teams to map customer model architecture impacts to power procurement and site planning.
- Drive go-to-market strategy for complex offerings including Managed Inference, Managed Kubernetes, and Bare Metal clusters.
- Act as technical authority and lead negotiator, influencing C-level executives to align infrastructure investments with customer demand.
- Identify bottlenecks in silicon supply chain or power allocation early and develop risk mitigation strategies.
Requirements
- Proven track record of structuring and closing complex cloud consumption deals exceeding $100M TCV.
- Deep practical knowledge of AI workloads, distributed computing frameworks (Slurm, Kubernetes), high-performance networking (RDMA/InfiniBand/RoCE), and storage architectures.
- At least 5 years of high-level experience in Product Management, Business Development, or Strategic Partnerships within the technology sector.
- Previous leadership experience at a major hyperscaler (AWS, GCP, Azure), a leading AI startup, or a top-tier cloud infrastructure provider.
- Deep knowledge of AI infrastructure and cloud computing with enthusiasm for their impact on the global energy landscape.
- Ability to simplify complex technical concepts into strategic business value for executive audiences.
- Bachelor's degree.
Nice to have
- MBA strongly preferred.
- Experience at a top-tier strategy or management consulting firm.
- Specialized understanding of power systems, utility operations, or energy-driven infrastructure.
- 8+ years of experience navigating the intersection of hardware, software, and energy markets.
- Existing deep relationships within the Tier 1 AI lab ecosystem.
Benefits
- Competitive benefits package including pension contributions and work-life balance perks.