Jobs at Runware

Owns strategy, roadmap, and revenue outcomes for serverless GPU and compute products. Works with developers, ML teams, infrastructure buyers, Engineering, Design, and GTM to solve deployment, scaling, reliability, cost, and production-operations challenges. Defines APIs, SDKs, CLI workflows, pricing, packaging, and product requirements while balancing technical trade-offs, customer needs, platform investment, and commercial outcomes.

Hands-on engineering manager responsible for leading and growing a backend engineering team, ensuring predictable delivery, technical and architectural oversight, mentoring, hiring, and cross-functional alignment with Product and DevOps to build scalable, reliable systems using modern engineering practices.

Experiment with generative image and video models, build advanced ComfyUI workflows and automated pipelines, and create high-quality demos, examples, guides, and social content. Translate technical experimentation into engaging developer- and creator-facing material, rapidly evaluate new model releases, and collaborate with Growth, Product, and Engineering on launches and use cases.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

The Staff DevOps Engineer will enhance and manage infrastructure for AI inference, focusing on speed, resilience, and automation across GPU fleets and production systems.

Ensure reliability, performance, and resilience of Runware's distributed, GPU-backed production platform. Define SLIs/SLOs and observability, investigate incidents across services, databases, networking and queues, automate remediation and deployment safety, participate in on-call rotations, conduct RCA and implement long-term fixes, and collaborate on capacity planning and scaling.