Key Responsibilities

📍Visionary Product Leadership & Strategy: Champion a bold, market-defining product vision for AI-ready infrastructure, translating it into a concrete, executable roadmap focused on best-in-class GPU solutions. 📍Drive the definition of optimal use cases (AI/ML/HPC) and lead the product development lifecycle from concept to launch, ensuring every feature is aligned with maximizing customer value and deployment velocity. 📍Market & Data Analysis: Conduct deep market and competitive analysis on compute trends, pricing, and customer feedback, defining and analyzing key metrics (e.g., utilization, deployment velocity) to inform product direction and drive strategic enhancements. Leverage and build ambitious AI automation to optimize research processes and data. 📍Product Development & Execution: Partner closely with engineering to define specifications, manage the development lifecycle, and deliver cutting-edge GPU solutions optimized for AI/ML/HPC workloads, serving as the primary advocate for customer deployment requirements. 📍Go-to-Market & Lifecycle Management: Collaborate effectively with cross-functional teams (marketing, sales, capacity planning) to orchestrate successful product launches, drive adoption, and manage the entire product lifecycle, ensuring scalable resource launches. 📍At Impossible Cloud, we are driven to lead innovation internally. We expect our leaders to actively leverage AI for the automation and optimization of internal processes and tools. This commitment enables ultra-lean teams to achieve results that far exceed what is typical for a team of our size, and much faster, hence guaranteeing Impossible Cloud leadership in our market.

Who You Are

📍 7+ years of product management or technical pre-sales experience, specializing in cloud compute infrastructure and/or agentic products. 📍Master’s degree or PhD in Computer Science, Engineering, or a related technical field, or outstanding practical work experience, corroborated by real success in the Cloud, GPU, or AI infrastructure space. 📍 Strong technical expertise in GPUs, cloud, and AI/ML workloads. 📍Proven track record of successfully managing complex products from initial concept through large-scale deployment and optimization, pushing beyond your comfort zone. 📍Exceptional analytical and problem-solving skills, with a demonstrated ability to make and communicate strategic, data-driven decisions, especially related to capacity and scaling. 📍A strong sense of ownership and a drive to figure out and resolve any issues preventing you and your team from delivering value to your customers.

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