Top Tech Jobs & Startup Jobs in London

Design, build, and maintain automation and testing infrastructure for the North platform: CI/CD pipelines, GitHub workflows, containerized test environments (Docker/Kubernetes), Helm and ArgoCD deployments, infrastructure-as-code, benchmarking, parallel test execution, and cross-team standards to improve test coverage, reliability, and deployment confidence.

Build and ship full‑stack features for North, an enterprise AI workspace. Develop secure autonomous agents, execution engines, integrations, observability and evaluation systems. Collaborate with researchers to productionize models and deliver performant, low‑resource deployment code while adhering to strict security and privacy constraints.

Own product vision, strategy, and execution for North. Set 6–18 month roadmap, drive activation/adoption/retention/expansion, run experiments and metrics, engage enterprise customers, partner with research and engineering to productize model capabilities, and build and lead a high-performing PM and documentation team while ensuring security and time-to-value for enterprise deployments.

Lead North's integrations strategy and execution: prioritize, ship, and drive adoption of connectors and ecosystem tooling. Partner with customers and engineering to convert integrations into reusable platform capabilities (auth, connector framework, data sync, permissions). Define developer/partner experience (APIs, SDKs, plugins) and instrument analytics to measure adoption, time-to-stand-up, and retention.

Build and maintain North's Agents & Automations platform: design and ship frontend and backend features, execution engine, integrations, debugging, observability, evaluation, and feedback systems to enable reliable AI-powered workflows.

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

Lead design and delivery of leadership, manager, and talent development programs at a scaling AI company. Partner with HRBPs and senior leaders to build onboarding, succession, high-potential, and manager enablement frameworks from the ground up, balancing strategy and execution and driving organizational capability.

Lead the Deployment Engineering team, managing North platform deployments and ensuring customer success while mentoring engineers on cloud and Kubernetes technologies.

Optimize and scale search applications, implement performance monitoring, develop benchmarking frameworks, and ensure high availability of search services.