GTM Lead - AI Inference

🚨 Solutions Engineer – AI Infrastructure & Inference

📍 Onsite, Mountain View / South Bay

I’m working with an early-stage AI infrastructure startup building software to make AI serving and training more energy efficient.

Founded by Google’s former TPU power architecture lead and Tesla’s former Dojo silicon design lead, they’re tackling the compute and energy waste that makes AI expensive to run.

They’re building a small team with a planned size of around 10–15 people, bringing together serving infrastructure, GPU performance and applied ML.

This is an opportunity to work directly with the founders, helping inference buyers evaluate a new provider and turning early customer relationships into design partnerships and paid adoption.

You’ll work on:

• Developing relationships with inference buyers into customer and design-partner opportunities
• Owning or supporting accounts through discovery, technical evaluation, onboarding and adoption
• Explaining tradeoffs across inference pricing, latency, reliability and model support
• Helping customers evaluate switching requirements and migrate between providers
• Engaging technically around OpenAI-compatible APIs, open-weight models and production serving
• Bringing customer requirements and evaluation feedback directly to the founders and engineering team

Requirements:

✅ At least 2 years of relevant customer-facing solutions or GTM experience

✅ Experience at a production inference provider or in adjacent AI infrastructure

✅ Existing relationships with teams buying inference

✅ Evidence of personally owning or materially supporting customer accounts

✅ A track record of driving customer adoption or commercial conversion

✅ Hands-on understanding of APIs, open-weight models and production inference tradeoffs

⭐ Experience at providers such as Fireworks, Together or Modal, supporting inference migrations, or converting early engagement into design partnerships is especially valuable.

💰
Package: $200K–$250K base salary + equity