Application Guide
How to Apply for Head of Compute Offtake
at SPAN
🏢 About SPAN
SPAN is revolutionizing clean energy adoption by creating intuitive home energy interfaces that empower homeowners to manage solar, storage, and electric vehicle charging seamlessly. As a fast-growing company at the intersection of hardware, software, and energy, SPAN offers a unique opportunity to shape the future of distributed energy resources.
About This Role
As Head of Compute Offtake, you will lead SPAN's strategy to monetize its distributed edge compute network by forging partnerships with hyperscalers, AI labs, and inference platforms. This role is critical to unlocking a new revenue stream and positioning SPAN as a key player in the AI infrastructure ecosystem.
💡 A Day in the Life
You'll start your day reviewing pipeline metrics and prioritizing outreach to hyperscaler infrastructure teams. Mid-day, you might negotiate terms on a capacity agreement with a neocloud, then meet with SPAN's product team to align on technical capabilities. Afternoons often involve internal strategy sessions on market positioning and external calls with potential buyers.
🚀 Application Tools
🎯 Who SPAN Is Looking For
- Has 8+ years of enterprise infrastructure sales or business development, with a proven track record of closing multi-million dollar compute capacity or data center agreements.
- Possesses deep relationships with hyperscaler infrastructure teams, neocloud BD, or AI inference platform owners.
- Understands AI infrastructure economics, including GPU utilization, inference workloads, and grid preemption dynamics.
- Excels at structuring complex commercial agreements with volume commitments, pricing, and SLAs.
📝 Tips for Applying to SPAN
Highlight specific deals you've closed in compute or data center capacity, including deal size and commercial structure.
Emphasize your network in AI infrastructure—mention names of hyperscaler or neocloud contacts you've worked with.
Show how your experience with distributed compute or edge infrastructure aligns with SPAN's unique value proposition.
Tailor your resume to include keywords like 'capacity agreements', 'GPU utilization', and 'inference workloads'.
In your cover letter, connect SPAN's mission to the growing demand for distributed AI compute.
✉️ What to Emphasize in Your Cover Letter
['Your ability to build and manage a pipeline of compute buyers from initial contact to signed agreement.', 'Experience structuring complex capacity agreements with SLAs and preemption carve-outs.', "Deep understanding of AI infrastructure economics and how SPAN's distributed edge compute offers differentiated value.", 'Proven relationships with hyperscaler and neocloud infrastructure teams.']
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Understand SPAN's product lineup, especially the SPAN Panel and its edge compute capabilities.
- → Study the competitive landscape of distributed edge compute providers (e.g., EdgeMicro, Vapor IO).
- → Familiarize yourself with the latest trends in AI inference demand and hyperscaler capacity needs.
- → Review SPAN's recent press releases or blog posts about energy and compute integration.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Failing to demonstrate specific, quantifiable deal experience in compute or data center infrastructure.
- Overlooking the unique distributed edge aspect—treating this like a traditional cloud sales role.
- Not showing a clear understanding of AI workload characteristics and how they differ from traditional cloud compute.
📅 Application Timeline
This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.
Typical hiring timeline:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!