Platform Data Analyst at Runware – United Kingdom (Remote)

Big Data Analytics
United Kingdom
December 2, 2025
Full Time
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Job Description

Description
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
Your main goal is to give Runware full visibility over:

  • 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

You will provide the data insights that allow engineering, ML, backend, DevOps, and leadership to make informed decisions and to continuously improve performance and reliability.

What You Will Do
Performance Monitoring & Benchmarking

  • 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.

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.

Requirements
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

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