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Runware

Generative AI platform with fast inference

Senior Product Manager - Serverless & Compute

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeRemote in UK

About the Job

Requirements

  • Strong product management experience owning technically complex cloud, infrastructure, platform, compute, or developer infrastructure products from discovery through launch, adoption, and iteration.
  • Strong understanding of software and infrastructure systems, with the technical depth to discuss customer architectures and product trade-offs across APIs, containers, distributed systems, networking, and storage.
  • Experience working directly with technical customers, understanding their architectures and workloads, and translating their needs into scalable product decisions.
  • Experience building for developers and understanding the journey from a first API call or deployment to dependable production usage.
  • Strong product judgement, with the ability to prioritise across customer needs, engineering constraints, platform investment, and revenue potential.
  • Strong ownership and comfort operating in a fast-moving, ambiguous environment where you’re expected to identify problems, create clarity, and drive work forward.
  • A hands-on approach: test products, inspect data, demo to prospects, and use prototypes and AI tools to accelerate discovery and decisions.

Responsibilities

  • Own the strategy and roadmap for serverless GPU workloads, dedicated capacity, and related compute products, deciding what gets prioritised and why.
  • Work directly with developers, ML teams, and infrastructure buyers to identify where deployment, scaling, reliability, or cost blocks adoption and expansion, and use market insights to identify where Runware can win.
  • Decide how Serverless balances cold starts, performance, and cost with capacity, availability, workload isolation, and governance.
  • Turn recurring customer needs into requirements and prototypes, test product flows, and resolve decisions as technical constraints emerge in collaboration with Engineering and Design.
  • Shape APIs, SDKs, CLI workflows, documentation, and the platform so developers can deploy, debug, and operate workloads in production without needing help at each step.
  • Bring customer and workload insights into product positioning, pricing, packaging, and prospect conversations with GTM.
  • Track activation, deployments, production usage, reliability, expansion, and revenue to continuously improve the product and roadmap.

Desired Qualifications

  • Experience with GPU compute or AI infrastructure, including inference, fine-tuning, training, or batch workloads.
  • Experience building serverless, cloud compute, Kubernetes, or container-based infrastructure products.
  • Strong awareness of the AI infrastructure and cloud compute landscape, including emerging platforms, products, and market trends.
  • Previous technical experience in software engineering, infrastructure, DevOps, platform engineering, or a related discipline.
  • Experience with usage-based billing, metering, reserved capacity, or infrastructure pricing.
  • Experience working with enterprise infrastructure requirements around security, reliability, governance, or capacity.

About the Company

Runware

Generative AI platform with fast inference

Runware.ai provides a fast, cost-effective platform to deploy AI-generated content through an API that hides infrastructure complexity. It runs AI workloads on custom hardware in renewable-energy data centers using the Sonic Inference Engine, with real-time WebSocket connections for low-latency, scalable performance. It differentiates itself with a proprietary engine, dedicated hardware, built-in redundancy, autoscaling, GPU allocation, and access to over 188,000 models, enabling seamless integration without ML expertise. Its goal is to democratize access to generative AI for businesses by making it easy to add AI capabilities without heavy hardware costs or specialized know-how.

Company size
51-200
Company stage
Series A
Total funding
$66M
Headquarters
London, United Kingdom
Founded
2023

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