About Runware Runware is building a high-performance, full-stack AI media-creation platform — empowering developers and companies to generate any type of media instantly. As we scale fast and integrate increasingly complex models, we need stronger visibility, analytics, and monitoring across the whole platform stack. We’re looking for a Data Expert (Analytics + Monitoring + Observability) to help us better understand, measure, and optimize how the Runware platform performs at scale — internally and for our clients. 🎯 Mission
End-to-end inference performance Integration usage and model activity Errors, delays, bottlenecks, regressions Internal and client-facing analytics dashboards Health and performance of production pipelines
🧩 What You Will DoPerformance Monitoring & Benchmarking
Provide automated alerts & historical trends. Usage & Analytics Reporting Build dashboards for internal use (engineering, product, leadership). Provide client-facing usage dashboards (requests, errors, success rate, performance). Support clients who need visibility to debug their integrations. Track model-level usage, API endpoints usage, adoption metrics, etc. Platform Observability Implement metrics, logs, and traces that help the entire platform scale smoothly. Work closely with DevOps & backend teams to improve system observability. Provide insights that guide infra decisions (GPU allocation, autoscaling, caching, batching, etc.). Data Infrastructure Ownership Select and maintain tooling (e.g., Prometheus/Grafana, Datadog, OpenTelemetry, ELK, BigQuery, etc.). Ensure data pipelines are reliable, accessible, and always up-to-date. Build simple, easy-to-read dashboards for both technical and non-technical teams. Must-Have Strong experience with data analytics, observability, or monitoring Hands-on with metrics/logging/tracing frameworks (Prometheus, Grafana, Datadog, New Relic, etc.) Good understanding of backend systems and distributed architectures Ability to turn raw metrics into actionable insights Experience building dashboards for internal and external stakeholders Familiarity with AI model monitoring (latency, throughput, error codes, GPU utilization) Nice-to-Have Experience with AI/ML infrastructure, inference pipelines, GPUs Understanding of Python APIs, FastAPI, or Node environments Experience working with high-throughput real-time systems Startup or scale-up experience What You Bring A problem-solver mindset Proactivity — you like digging into the data and flagging problems before anyone else sees them Ability to work with ML, backend, DevOps, and product teams Comfort with autonomous ownership You help Runware go from “it works” to “we know exactly how well it works — and how to make it better.” We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. Generous paid time off – vacation, sick days, public holidays Meaningful stock options – share in the upside you create Remote-first setup – work from home anywhere we can employ you 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 Please note: We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.
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