Senior Technical Product Manager (Serverless AI)

TL;DR

Senior Technical Product Manager (Serverless AI): Defining and driving product strategy for a next-generation serverless GPU platform with an accent on training jobs, inference endpoints, and developer environments. Focus on optimizing autoscaling, multi-node workloads, and translating complex infrastructure into intuitive developer experiences.

Location: Remote in the United Kingdom

Company

A rapidly scaling AI-native platform building infrastructure purpose-built for AI workloads and GPU cloud technologies.

What you will do

• Own and co-develop the Serverless AI product roadmap across jobs, endpoints, and developer environments.
• Write execution-ready PRDs covering APIs, CLI design, state machines, and billing models.
• Define and prioritize technical capabilities such as autoscaling, multi-node workloads, and container orchestration.
• Partner with engineering to make architecture decisions regarding GPU scheduling and distributed compute systems.
• Lead customer discovery sessions to translate technical feedback into actionable roadmap priorities.
• Own developer experience strategy, including CLI usability, onboarding flows, and documentation.

Requirements

• 3+ years of product management experience in cloud infrastructure, AI/ML platforms, or developer tooling.
• Strong hands-on understanding of containers, Docker, APIs, and distributed systems.
• Solid knowledge of GPU computing for AI workloads, including training and inference requirements.
• Experience building developer-facing products such as CLIs, SDKs, or APIs.
• Proven ability to conduct technical customer discovery and convert insights into product direction.
• Must be based in the United Kingdom.

Culture & Benefits

• Competitive salary with performance-based bonus opportunities.
• Comprehensive health and medical coverage package.
• Remote-first culture with flexible working arrangements.
• Professional development support and learning opportunities.
• Exposure to cutting-edge AI infrastructure and high-impact engineering culture.

Hiring process

• AI-powered matching process to identify top-fitting candidates for the shortlist.
• Interviews and final assessments managed by the partner company's internal team.