Senior Technical Product Manager - Compute API & Experience

Over deze functie

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

The AI Compute Platform runs the GPU infrastructure frontier AI labs train and serve their models on. The Compute API is how customers — and a dozen internal product teams — actually use it. As the TPM for Compute API & Experience, you own that API end-to-end and the surface customers touch — console, CLI / SDK, instance metadata, self-service and the reliability signals they trust us on. It's a gatekeeper seat with real authority: you set the contract other teams build on, and own the VM lifecycle and scheduling logic that decide how customer VMs are placed, run and recovered — on one of the largest GPU fleets in Europe.

What you own:

• Strategy & roadmap for the Compute API & Experience area — discovery, delivery, adoption.

• The Compute API as a product — contract, versioning, idempotency, error semantics, deprecation; predictable reconciliation / desired-state behaviour.

• VM / instance lifecycle as a first-class API — start / stop / restart / recovery, maintenance behaviour — the behaviour customers actually experience.

• Scheduling & placement - capacity-aware placement, NER handling, operation priority and fairness — and how that logic surfaces to customers.

• Integration and interaction with adjacent platform services — storage, networking, IAM and others

• The customer-facing surface end-to-end — console, CLI / SDK, instance metadata, self-service, notifications.

• New compute platforms into the product — instance types, presets and platform capabilities — with the hardware and platform teams.

• A multi-region product experience — region-aware placement and a project model that works across regions the way customers expect.

Responsibilities:

• Own end-to-end product responsibility for your area — strategy, roadmap, discovery, delivery, adoption, and measurable customer & platform outcomes.

• Design and govern platform contracts at hyperscaler quality.

• Co-design the compute control plane with engineering as a technical peer (scheduling, allocation, reconciliation) — not just word an API.

• Manage stakeholders and drive cross-team execution across engineering, networking, storage, product and sales / CX.

• Define success metrics for the Compute API and the customer experience, and be the escalation point for product decisions on your surface.

We expect you to have:

• 6+ years in Product / Platform / Infrastructure PM — or an SRE / Engineering Lead moving to product — shipping technically complex platform products with measurable impact.

• Owned a public cloud / compute / platform API as a product. A declarative / desired-state or control-plane API (Kubernetes CRDs / operators, or a cloud control plane) is a strong plus.

• Hands-on cloud experience — the VM / instance lifecycle, its API and its console at a public or large-scale cloud (AWS / GCP / Azure or another large-scale cloud), with a real under-the-hood understanding of how scheduling, allocation and the virtualization layer work (control-plane vs data-plane — how VMs are placed, scheduled and run). GPU / AI-cloud experience is a big plus, but not required.

• A systems understanding of how a cloud fits together — how compute, storage, networking, IAM and related services connect and interact, and how it all works under the hood — enough to design the Compute API coherently and reason about it with those teams.

• Gatekeeper craft — other teams have shipped features through an API you governed: design review, breaking-change control, pushback with a migration path; debates trade-offs with engineering as a peer.

• Strong analytical skills — comfort defining and instrumenting product metrics, working with telemetry, and building data-informed roadmaps.

• Experience leading discovery-heavy work — structured customer interviews (we build top-tier infrastructure and work directly with frontier AI labs), usage analytics — turning insights into shipped product.

• Strong communication and the ability to align engineering, SRE, customer-facing teams and exec stakeholders.

• High ownership, a bias to ship, and focus on outcomes and customer value.

Nice to have:

API & developer-surface depth

• System design of compute / platform services — control plane, scheduling, allocation, reconciliation.

• Depth in VM lifecycle semantics (stop / start / restart / recovery, failure & stop reasons).

• Observability / SLI-SLO delivered as a product; status pages / RCA / SLA artefacts.

• Console / CLI / API design and developer-experience product craft.

Hardware, GPU & HPC depth

• Hands-on with GPUs / accelerated compute and ML / AI workloads (hands-on ML experience).

• Multi-node GPU clusters and their interconnect — InfiniBand / RoCE fabrics, NVLink topology, topology-aware placement.

• NVIDIA reference architectures; brought a new instance type / preset / hardware platform into a cloud's compute catalog.

Systems depth

• Understanding of virtualization internals (hypervisors / KVM / QEMU, VM internals).

• Hands-on experience with Kubernetes.

About Nebius

Nebius AI is an AI cloud platform with one of the largest GPU capacities in Europe. Launched in November 2023, the Nebius AI platform provides high-end, training-optimized infrastructure for AI…