GM, AI Compute

GM, AI Compute Company Overview Archera empowers organizations of all sizes to optimize their cloud costs through unique, short-term, insured commitments. Hundreds of customers rely on Archera's innovative FinTech solutions to increase their cloud ROI while accelerating revenue objectives and service agility. Archera's unique cloud rate insurance products and free FinOps platform enable teams to accurately predict and plan infrastructure growth, maximize commitment-based savings, and hedge against market demands and evolving cloud service provider offerings. Archera works closely with AWS, Microsoft Azure, and Google Cloud, along with a broad partner ecosystem, to help customers execute financially prudent cloud strategies. Position Overview Archera is seeking a GM to run the customer side of a new compute product that gives developers and teams access to GPU and CPU capacity at better prices and on more flexible terms. You will run it like a startup inside Archera, owning positioning, developer adoption, go-to-market, and messaging. You will report to our product leader and work closely with our CEO and engineering. This is a full-time role. We strongly prefer candidates in the San Francisco Bay Area. Key Responsibilities - Own the positioning, roadmap, and outcomes for the customer side of a new compute product. - Own developer adoption, from discovery and self-serve signup to paying usage. - Test and run go-to-market playbooks to bring in demand.

- Decide what the product sells next and to whom. - Own messaging, marketing, and the product website. - Partner with engineering on requirements, launches, and success metrics. Qualifications - 7+ years of experience in product, growth, or go-to-market roles on technical products. - Has taken a developer-facing platform end to end, from build through launch and growth, with real go-to-market ownership. - Has done this as a GM, founder, or early product lead. - Comfort writing positioning and customer-facing content yourself. - Clear written and verbal communication with technical and business audiences. Nice-to-Haves - Knowledge of GPUs, AI compute, and token-based pricing. - Experience at an AI compute, GPU cloud, or inference provider. - Experience with usage-based pricing.