Senior Product Manager - Serverless & Compute

present of AI; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Runware is seeking a Senior Product Manager for its serverless GPU and dedicated compute products in London. You will own the product direction and revenue outcomes, collaborating with developers and ML teams to identify deployment pain points and shape solutions for AI workloads.

You will prototype, test, and demonstrate value to customers, balancing performance, cost, and reliability while driving adoption among technical teams and prospects.

Qualifications

• Experience leading infrastructure-focused products.
• Strong understanding of serverless/GPU compute environments.
• Ability to work with developers and ML teams to solve deployment problems.
• Proven track record in pricing and usage metrics for tech products.

Responsibilities

• Own direction and revenue outcomes for serverless GPU and compute products.
• Engage with developers and ML teams to identify deployment challenges.
• Prototype and test products; read data and demo to prospects.
• Quantify trade-offs between cold starts and cost; communicate with customers.

Skills

Containers

Networking

Storage

Distributed systems

Customer discovery

Pricing and usage metrics

Revenue-oriented

Prototype with AI tools

Job description

Senior Product Manager - Serverless & Compute

This role owns the direction and revenue results for Runware's serverless GPU and dedicated compute products. It asks for a product manager who can talk comfortably about containers, networking, storage and distributed systems, and who spends real time with developers and ML teams to find the deployment problems they would pay to solve. A strong candidate balances customer needs, engineering limits and revenue, and is happy to test products, read data and demo to prospects directly.

How it fits the AI era

The product itself serves AI workloads, so the work is shaped by how fast models, hardware and customer demand change. AI tools can speed up prototyping, data review and early discovery, which the posting expects the person to use. Judgement on trade-offs such as cold starts versus cost, trust built with technical customers, and the choice of what becomes a product stay human.

How it builds AI experience

This role gives close exposure to how inference workloads are deployed, scaled and kept reliable on GPU infrastructure across many types of models. Someone building toward it could deploy a small model on a serverless GPU platform, measure cold starts and cost, and write up what they learned. Using AI tools to build prototypes and review usage data would also show the hands-on habit the team wants.

Worth showing

• Technical product ownership in infrastructure
• Serverless or GPU compute knowledge
• Customer discovery with technical teams
• Pricing and usage metrics thinking

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Runware

High-performance inference platform providing serverless and dedicated GPU infrastructure across thousands of machine learning models.