Our partner is looking for a Technical Product Manager - AI Compute Platform based in Spain.

In this role, you will help shape and scale a next-generation AI cloud platform powering some of the most demanding machine learning workloads in the world. This is a deeply technical product management role where you will collaborate as a peer with senior engineers on topics such as GPU orchestration, distributed training, cluster operations, and cloud APIs. You will translate complex customer needs into robust platform capabilities that enable large-scale AI training and inference. Own end-to-end product strategy, roadmap, and execution for a critical slice of an AI compute platform, ensuring alignment with customer and business outcomes.

Define and evolve platform contracts such as APIs, system behaviors, lifecycle semantics, and developer-facing interfaces at hyperscaler quality.

Lead cross-functional execution across engineering, SRE, networking, storage, observability, IAM, billing, capacity planning, and customer-facing teams.

Drive structured product discovery through customer interviews, usage analytics, incident analysis, and support feedback loops.

Collaborate as a technical peer with engineering teams to evaluate architecture decisions, system trade-offs, and platform design quality.

Own adoption and performance of shipped features, ensuring continuous improvement based on real-world usage and telemetry.

6+ years of experience in Product Management, Platform/Product Infrastructure roles, or equivalent experience in SRE or Engineering leadership with strong product ownership.

Strong technical foundation in cloud infrastructure, distributed systems, or AI/ML platforms, with the ability to reason about system design and architecture.





Experience working with or operating large-scale infrastructure such as GPU clusters, HPC systems, or multi-tenant cloud environments.

Proven track record of shipping complex technical products with measurable impact on customers or platform performance.

Strong analytical skills with experience defining metrics, working with telemetry, and driving data-informed product decisions.

Experience leading discovery processes, including customer interviews, usage analysis, and support-driven insights.

Ability to engage confidently with engineering teams on topics such as API design, system reliability, control planes, and distributed systems behavior.

Excellent communication and stakeholder management skills across engineering, product, operations, and executive teams.

Familiarity with GPU infrastructure, Kubernetes, Slurm, or HPC environments is highly desirable.

Experience with distributed ML training or inference workloads (e.g., multi-node training, NCCL, checkpointing, fault-tolerant systems) is a strong plus.

Exposure to cloud platforms at hyperscaler scale (AWS, GCP, Azure) and developer experience design (APIs, CLI tools, observability systems) is advantageous.

Opportunity to shape foundational infrastructure for the integral AI ecosystem.

Flexible, trust-based work environment with strong autonomy.

Opportunity to work on problems at the frontier of cloud infrastructure and AI compute.

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📌 Senior Technical Product Manager (Málaga)
🏢 Jobgether
📍 Málaga