Platform Data Analyst

5 days ago

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Logo of Runware

Runware

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

• Build and maintain E2E inference time tracking (global and per-model). • Monitor how implementation changes impact total request latency. • Detect regressions introduced by suboptimal code paths. • Provide automated alerts & historical trends. • 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. • 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.). • 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.

🎯 Requirements

• 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) • Experience with AI/ML infrastructure, inference pipelines, GPUs (Nice-to-Have) • Understanding of Python APIs, FastAPI, or Node environments (Nice-to-Have) • Experience working with high-throughput real-time systems (Nice-to-Have) • Startup or scale-up experience (Nice-to-Have)

🏖️ Benefits

• 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

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