Senior Product Manager – Serverless, Compute

🔥 56 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 25%

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Logo of Runware

Runware

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🔌 API

📱 Media

Artificial Intelligence • API • Media

Runware is a flexible generative AI platform that specializes in high-quality media creation for images and videos through an affordable and fast API. It is capable of advanced tasks such as image generation, video inference, upscaling, and background removal, making it an essential tool for developers seeking to enhance their projects with AI technology. Powered by a custom Sonic Inference Engine™ and renewable energy, Runware ensures quick and efficient media generation without requiring complex infrastructure or machine learning expertise.

📋 Description

• Own product strategy and roadmap for serverless GPU workloads, dedicated capacity, and related compute products • Identify deployment and production problems customers will pay to solve • Work directly with developers, ML teams, and infrastructure buyers to understand workloads and adoption barriers • Make trade-offs across cold starts, performance, cost, capacity, availability, workload isolation, and governance • Collaborate with Engineering and Design to turn customer needs into requirements and prototypes • Test product flows and resolve decisions as technical constraints emerge • Shape APIs, SDKs, CLI workflows, documentation, and platform capabilities for production operations • Drive product positioning, pricing, packaging, and prospect conversations with GTM • Track activation, deployments, production usage, reliability, expansion, and revenue • Continuously improve the product and roadmap

🎯 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, including APIs, containers, distributed systems, networking, and storage • Experience working directly with technical customers and translating their architectures and workloads 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 and ability to prioritise across customer needs, engineering constraints, platform investment, and revenue potential • Strong ownership and comfort operating in a fast-moving, ambiguous environment • Hands-on approach: testing products, inspecting data, demonstrating to prospects, and using prototypes and AI tools • Experience with GPU compute or AI infrastructure, including inference, fine-tuning, training, or batch workloads (nice to have) • Experience building serverless, cloud compute, Kubernetes, or container-based infrastructure products (nice to have) • Awareness of the AI infrastructure and cloud compute landscape (nice to have) • Previous technical experience in software engineering, infrastructure, DevOps, platform engineering, or a related discipline (nice to have) • Experience with usage-based billing, metering, reserved capacity, or infrastructure pricing (nice to have) • Experience with enterprise infrastructure requirements around security, reliability, governance, or capacity (nice to have)

🏖️ Benefits

• Remote-first work arrangement • In-person company gatherings twice a year • Core hours for cooperative working and calls • Flexible schedule outside core collaboration blocks • Generous paid time off, including vacation, sick days, and public holidays • Meaningful stock options • Paid maternity, paternity, and caregiver leave • Company retreats twice yearly • Downtime after intense release cycles to unplug and recharge

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