Senior Technical Product Manager (Serverless AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Technical Product Manager (Serverless AI): Building a consumption-based compute platform for running AI workloads with an accent on GPU scheduling, container runtimes, and cold start optimization. Focus on scaling the platform to 1,000+ users and designing high-performance, developer-first tooling including CLIs and APIs.
Location: Must be based in the Netherlands, Europe, or the United States
Company
is an AI cloud platform providing high-end, training-optimized GPU infrastructure for AI practitioners.
What you will do
- Co-own the Serverless AI product roadmap, focusing on Jobs, Endpoints, and DevPods.
- Write technically precise PRDs specifying CLI syntax, API contracts, state machines, and billing models.
- Manage technical trade-offs regarding GPU bin-packing, container cold starts, and storage mount performance.
- Conduct technical customer discovery with ML engineers to translate qualitative insights into product actions.
- Define and iterate on pricing, packaging, and tier strategies for the Serverless AI platform.
- Own the technical content strategy, creating quickstart guides, tutorials, and reference architectures.
Requirements
- 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tools.
- Hands-on experience building and shipping infrastructure or platform products for developers or ML engineers.
- Practical knowledge of containers (Docker, image registries, runtimes) and GPU computing for AI/ML (vLLM, TensorRT-LLM).
- Proven experience shaping developer-facing APIs, CLIs, or SDKs.
- Experience conducting technical customer discovery sessions with engineers.
- Must be based in Amsterdam (Netherlands), Europe, or the United States.
Nice to have
- Hands-on ML engineering background (training models, deploying endpoints).
- Experience with Kubernetes for ML workloads (Kubeflow, KServe, Ray Serve).
- Prior experience at a serverless or GPU cloud company.
- Background in systems engineering, distributed systems, or SRE.
Culture & Benefits
- Competitive salary and comprehensive benefits package.
- Flexible working arrangements.
- Dynamic and collaborative environment that values technical initiative and innovation.
- Opportunities for professional growth within a high-impact, lean team.
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