Experience in product management for cloud platforms, data infrastructure, databases, developer platforms, or AI-related products
Strong technical depth in storage, networking, and modern software development processes, including Agile development practices and the effective use of AI tools to accelerate discovery, specification, iteration, and execution
Adaptability to the changing role of product management in an AI-enabled SDLC, including faster feedback loops, AI-assisted engineering workflows, and evolving cross-functional ways of working, with the ability to understand architecture trade-offs and translate them into product requirements
Solid understanding of cloud platform ecosystems across AWS, GCP, and Azure, including core infrastructure services, marketplace and procurement models, APIs, identity and access patterns, observability, and partner integrations
Familiarity with the lifecycle of cloud products and services, including provisioning, upgrades, maintenance windows, reliability, operational readiness, supportability, and end-of-life considerations
Strong product sense for enterprise and digital-native customers, with the ability to turn ambiguous customer, field, and market input into crisp requirements, prioritization decisions, and measurable outcomes
Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent practical experience