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Archera

Cloud cost optimization and forecasting platform

GM, AI Compute

Technical Product ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 7 years of experience in product, growth, or go-to-market roles on technical products.
  • Experience taking a developer-facing platform end to end, from build through launch and growth, with real go-to-market ownership.
  • Experience doing this as a GM, founder, or early product lead.
  • Ability to write positioning and customer-facing content.
  • Ability to communicate clearly in writing and verbally with technical and business audiences.

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.

Desired Qualifications

  • Knowledge of GPUs, AI compute, and token-based pricing.
  • Experience at an AI compute, GPU cloud, or inference provider.
  • Experience with usage-based pricing.

About the Company

Archera

Cloud cost optimization and forecasting platform

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.

Company size
51-200
Company stage
Series C
Total funding
$39.2M
Headquarters
Bellevue, WA
Founded
2019

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