Product Manager / Director – GPU & AI Services at Impossible Cloud GmbH

Hamburg, , Germany -

Full Time

Start Date

Immediate

Expiry Date

04 Sep, 26

Salary

0.0

Posted On

06 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Strategy, Go-To-Market Strategy, GPU Architecture, AI/ML Workloads, Cluster Networking, Pricing and Packaging, Product-Market Fit, Engineering Backlog Management, Competitive Analysis, Customer Research, B2B Cloud Services, Enterprise Account Management

Industry

technology;Information and Internet

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. \n WHAT YOU WILL DO: 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. WHAT YOU BRING: 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. \n WHAT WE OFFER: Competitive salary coupled with direct engagement in your success through an enticing ESOP. Clear and transparent career progression scheme inspired by the best performing organisations incl. fast track promotion opportunity for exceptional performance to support your growth ambitions. Prime growth-stage company with proven revenue and a sharp edge in cloud — founded by serial entrepreneurs with multiple successful exits. Experienced, passionate team working with cutting-edge cloud technology. A vibrant office in a trendy location with free brain food and a canteen — plus a subsidized premium gym membership and monthly team meet-ups that bring the whole crew together! OUR CULTURE: We are committed to success. We embrace individuals from all backgrounds who share the goal of building a future European cloud champion, celebrated through a richly diverse team of 15+ nationalities and 10+ languages spoken. OUR HIRING PROCESS: Apply: Submit your CV or LinkedIn profile via the application form. First response: We review every application carefully and get back to you within a few days. If your profile is a strong match, we'll invite you to an intro call via Google Meet. Get to know us: We move quickly through two to four interview steps, including a meeting with our founders. Offer: If it's a mutual fit, you'll receive a personal offer and feedback call, followed by a written offer document.

Responsibilities

Lead the end-to-end product and go-to-market strategy for GPU and AI services to establish product-market fit. Convert customer signals into executable engineering backlogs and serve as the technical lead for enterprise accounts.