Top Tech Jobs & Startup Jobs in London

Lead and deliver cross-business strategic engagements: structure problems, perform qualitative and quantitative analysis, produce decision-ready materials for senior leadership, develop market and technology insights (including AI), foster RELX-wide strategy community, and share best practices across product and commercial teams.

Lead product discovery and delivery for internal data platform capabilities. Gather feedback from engineers and data scientists, define requirements, prioritize backlog, partner with engineering to deliver scalable, secure data access and experimentation tooling, measure adoption and outcomes, and support migration from legacy workflows while enabling onboarding and best practices.

Lead portfolio marketing to create industry-led, solution-focused messaging and sales enablement. Develop cross-portfolio narratives, value propositions, proof points, and competitive differentiation. Partner with product, data science, market planning, and regional marketing to produce sales-ready content, thought leadership, and localized activations that drive pipeline and reduce feature/price-led selling.

Design, build, deploy, and support secure, scalable production software and AWS infrastructure. Implement CI/CD, monitoring, alerting, and WAF/Cloudflare protections. Collaborate in an Agile cross-functional team, maintain engineering standards, and mentor colleagues while ensuring service stability, security, and predictable releases.

Drive new partner sales and revenue growth in DACH by prospecting, building pipeline, managing territory plans, converting leads to closed contracts, forecasting, and supporting onboarding and retention in collaboration with presales and partner success teams.

Lead a global Learning & Performance team to design and deliver a sales and customer success curriculum, embed Challenger methodology, build assessments and certifications, align learning with commercial strategy, use data to measure impact, and partner cross-functionally to drive sustained behaviour change and performance.

Lead technical data science work and best practices, mentor data scientists, design and prototype advanced analytics and generative AI solutions, collaborate with product and engineering, and help deploy production machine learning systems for aviation analytics.

Support sales productivity through data analysis, pipeline and closed-deal insights, documentation, data verification, and troubleshooting. Partner with Sales, Finance and non-technical teams to build scalable processes and provide data literacy and problem-solving.

Provide 24x7 technical customer support for a SaaS risk solutions platform. Troubleshoot integrations, web workflows, network issues, APIs, and mobile/desktop fingerprinting; follow workflows, escalate complex issues, and validate software solutions to ensure service continuity.

Manage a portfolio of strategic partners to drive adoption, engagement, retention, and growth. Coordinate onboarding, enablement, QBRs, and partner requests. Support upsell/cross-sell opportunities, prepare reports and presentations, and act as liaison between partners and internal teams.