GM, AI Compute
Archera
GM, AI Compute
Archera
Cloud cost optimization and forecasting platform
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.
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.
Archera provides a cloud management platform (SaaS) that helps businesses control and optimize cloud costs. It combines commitment management, forecasting, and planning with automated purchasing and ongoing spend management to improve resource allocation across cloud services. The platform offers cost allocation, forecasting, benchmarking, and spend automation to identify overspend, predict future needs, and guide optimization decisions. Unlike some providers that offer point tools, Archera delivers an integrated suite for FinOps-style cost control, focusing on automating cloud purchasing and management to reduce waste. The company’s goal is to help organizations gain visibility into cloud spend, forecast demand accurately, and implement effective cost-saving strategies across their cloud infrastructure.
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