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Product Manager / Director – GPU & AI Services

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Impossible Cloud Hamburg Source published Sep 20, 2026 Verified 13 hours ago
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EmploymentFull-time

Overview

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Full job description

ABOUT US: Impossible Cloud is a fast-growing B2B cloud company headquartered in Hamburg, Germany. We have built a cloud object storage solution comparable to AWS S3, purpose-built and optimised for AI and compute workloads. Our commercial hyper-growth speaks for itself, powered by our channel-first go-to-market strategy. We are now expanding beyond storage: we are building a high-performance compute platform, offering an end-to-end solution from GPU infrastructure to full GPU platform software stack. In doing so, we are redefining the cloud ecosystem by bridging the gap between decentralised infrastructure (DePIN), mainstream B2B cloud use cases, and AI applications.

Find out more about us here.

Please note that we can only consider candidates who have a valid, unrestricted work permit for the EU.

Your Impact You will own the product and go-to-market strategy for our GPU and AI services, working directly with the founders to define what we build, how we price and package it, and which customer segments and use cases we go after first. Success in 12 months means a validated commercial model with thousands of AI B2B customers and a product roadmap with huge customer pull behind it.

Direct the end-to-end GPU and AI services strategy and roadmap, taking full commercial accountability.

Establish product-market fit by identifying high-advantage segments and use cases.

Design pricing, packaging, and GTM strategies alongside sales and channel partners.

Convert customer signals and research into clear, executable engineering backlogs.

Serve as the technical product lead for enterprise accounts, discussing GPUs, networking, and AI workloads.

Monitor competitors to ensure industry-leading positioning and features.

Proven success leading cloud infrastructure or AI product strategy and revenue growth.

Technical fluency in GPU architectures, AI/ML workloads, and cluster networking.

Strong commercial instincts with experience in pricing and defining ICPs.

Evidence-based approach, prioritizing customer data over personal opinion.

Proficiency in using AI tools to optimize research and execution.

Fluent English; additional European languages preferred.

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