
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.
🔥 28 minutes ago
Where this job comes from
Posted on Runware's careers page, not through a job board
First seen by Remote Rocketship 28 minutes ago

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.
• Own product direction and revenue outcomes for Runware’s Serverless and Compute offerings • Define the long-term vision and roadmap for serverless GPU workloads, dedicated capacity, and related compute products • Make strategic investment and prioritisation decisions supporting Runware’s growth • Work with developers, ML teams, and infrastructure buyers to identify deployment, scaling, reliability, and cost barriers • Decide trade-offs across cold starts, performance, cost, capacity, availability, workload isolation, and governance • Partner 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 deployment and operations • Partner with GTM and company leadership on positioning, pricing, packaging, and market opportunities • Own product adoption, expansion, and revenue growth • Track activation, deployments, production usage, reliability, expansion, and revenue to improve the product and roadmap
• Proven ability to shape product strategy and drive business impact, including identifying market opportunities, making complex product investment decisions, and translating them into measurable adoption and revenue growth • 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 to 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 • Experience building serverless, cloud compute, Kubernetes, or container-based infrastructure products • 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
• Remote-first work arrangement with in-person meetings twice a year • Core hours for cooperative working and calls, with flexible scheduling outside core hours • Generous paid time off, including vacation, sick days, and public holidays • Meaningful stock options • Flexible hours • Paid maternity, paternity, and caregiver leave • Company retreats twice yearly
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