Top Tech Jobs & Startup Jobs in London

Sell Beamerys enterprise talent and skills platform to mid-size and large accounts. Prospect and qualify target accounts, lead executive conversations, negotiate and close new business, collaborate cross-functionally to craft value propositions, represent customer feedback internally, and coach junior sellers.

Lead design and development of a scalable data platform: build high-performance ETL/streaming pipelines, develop analytics/semantic layers, ensure data quality and monitoring, mentor engineers, collaborate cross-functionally, and influence data architecture to support reporting and AI initiatives.

Lead platform architecture, reliability, and infrastructure initiatives; design scalable cloud services; mentor engineers; own platform standards, incident response, observability, cost controls; stay hands-on via on-call and partner with product and cross-functional teams.

Build and maintain product reporting and dashboards, partner with product managers to analyze usage, adoption and retention, maintain product analytics stack (Pendo, Hex), enable PM self-serve, design and instrument LLM/AI agent workflows and automation, evaluate emerging AI tooling and document reproducible agent architectures.

Own the Data Foundry product strategy and roadmap, balancing infrastructure and commercial data-as-a-service. Partner with CRM and Workforce Suite PMs, data science, and engineering to define data contracts, prioritize delivery, ensure governance/security, and drive adoption and GTM for MCP/API channels. Measure success via usage, value, and commercial metrics.

Review and improve AI-generated role profiles for accuracy and consistency; spot and fix data issues; run QA workflows using agentic tools (e.g., Claude); collaborate with Data Science and Professional Services to define QA metrics, log defects, validate pipeline fixes, and document QA processes and standards.