[Hiring] Product Lead - Serverless & Compute @Runware

Role Description

As Product Lead for Serverless & Compute, you’ll own the product direction and revenue outcomes for Runware’s Serverless and Compute offerings. You’ll identify the deployment and production problems customers will pay Runware to solve, decide which should become products, and work closely with Engineering, Design, and GTM to bring them to market and continuously improve them. This is a highly technical product role with significant ownership.

• Set product direction and make trade-offs.
• Understand customers and their workloads.
• Own production trade-offs.
• Drive delivery with Engineering and Design.
• Make production use manageable.
• Drive commercial outcomes with GTM.
• Measure outcomes and adapt.

Qualifications

• 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: you test products, inspect data, demo to prospects, and use prototypes and AI tools to accelerate discovery and decisions.

Requirements

• 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.

Benefits

• Generous paid time off – vacation, sick days, public holidays.
• Meaningful stock options – share in the upside you create.
• Flexible hours – own your schedule outside core collaboration blocks.
• Family leave – paid maternity, paternity, and caregiver time.
• Company retreats – twice-yearly gatherings in inspiring locations.