Technical Product Manager (AI Compute Platform)

TL;DR

Technical Product Manager (AI Compute Platform): Owning the strategy and execution for a hyperscale AI cloud infrastructure product with an accent on GPU orchestration, distributed training, and cloud APIs. Focus on translating complex customer needs into robust platform capabilities and collaborating with senior engineers to define the future of AI compute.

Location: Must be based in Germany

Company

hirify.global is an AI-powered platform connecting candidates with high-impact roles in engineering-driven organizations.

What you will do

• Own the end-to-end product strategy, roadmap, and execution for critical AI compute platform components.
• Define platform contracts, including APIs, system behaviors, and developer-facing interfaces.
• Lead cross-functional efforts across engineering, SRE, networking, storage, and capacity planning teams.
• Drive product discovery through customer interviews, usage analytics, and incident analysis.
• Collaborate with engineering teams to evaluate architecture decisions and system trade-offs.
• Define success metrics focused on customer impact, platform efficiency, and operational excellence.

Requirements

• 6+ years of experience in Product Management, Platform Infrastructure, or Engineering leadership.
• Strong technical foundation in cloud infrastructure, distributed systems, or AI/ML platforms.
• Proven track record of shipping complex technical products with measurable impact.
• Ability to engage confidently with engineering teams on API design, control planes, and system reliability.
• Must be based in Germany.
• Excellent communication and stakeholder management skills.

Nice to have

• Familiarity with GPU infrastructure, Kubernetes, Slurm, or HPC environments.
• Experience with distributed ML training or inference workloads (e.g., NCCL, checkpointing).
• Exposure to hyperscaler cloud platforms (AWS, GCP, Azure).
• Understanding of SRE principles and operational metrics.

Culture & Benefits

• Competitive compensation package.
• Opportunity to shape foundational infrastructure for the global AI ecosystem.
• Flexible, trust-based work environment with strong autonomy.
• Career growth in a fast-scaling, engineering-driven organization.
• Exposure to cutting-edge AI, GPU, and distributed systems technologies.