Top Tech Jobs & Startup Jobs in London

Leads complex technical programs for strategic customers from problem definition through production delivery and measurable business outcomes. Partners with engineers, data scientists, designers, and customer teams across AI, cloud, and data initiatives. Uses AI-assisted engineering workflows and tools such as VS Code, GitHub, and AI agents to accelerate delivery, manage ambiguity, assess risks, and make data-driven decisions. Also develops reusable solution patterns, open-source assets, and engineering playbooks.

Design AI-agent experiences that help employees complete complex work while preserving human judgment and accountability. Research current workflows, prototype and test agent interactions, and establish patterns for delegation, permissions, transparency, supervision, escalation, override, rollback, and recovery. Define experience quality measures and design scalable catalog, marketplace, and measurement surfaces. Collaborate with engineering, data science, program management, and product teams to deliver safe, usable AI-enabled systems.

Partners with business leaders to develop data-driven talent strategies, advise on workforce planning, source and engage candidates, assess talent, and deliver strong candidate experiences. The recruiter manages end-to-end hiring processes across corporate functions, uses market intelligence and recruiting analytics, ensures compliance, maintains accurate hiring data, and influences hiring decisions through talent insights and strategic consultation.

Leads post-sale customer success for strategic global accounts, building relationships, aligning business outcomes, managing success plans, orchestrating Microsoft and partner delivery, improving solution health, accelerating cloud and AI adoption, and overseeing escalations and transformation programs. The role requires cloud expertise, IT service management, project management, change management, and experience supporting multinational customers.

Leads Microsoft’s EMEA Software Digital Platform sales organization for independent software vendors across the UK, France, and Benelux. Responsibilities include coaching sales teams, executing go-to-market and territory strategies, driving cloud adoption and revenue growth, developing executive customer and partner relationships, accelerating co-selling and co-innovation, and coordinating cross-functional Microsoft resources. The role also requires identifying market opportunities and strengthening Microsoft’s position in the software and digital platform ecosystem.

Design and deliver secure, scalable Azure data platforms for global enterprise customers. Lead architecture engagements, roadmaps, proofs of concept, pilots, and production deployments across Microsoft Fabric, Azure Databricks, databases, governance, and AI workloads. Own technical delivery, workload health, resiliency, security, capacity optimization, and adoption outcomes. Resolve technical blockers, collaborate with product and engineering teams, develop reusable implementation assets, and mentor others while enabling Azure consumption and production-scale AI scenarios.

Lead complex cloud, AI, digital transformation, and technology programmes for enterprise, public sector, and regulated-industry customers. Responsibilities include delivery planning, governance, risk management, financial controls, executive stakeholder engagement, presales support, and cross-functional team leadership. The role ensures delivery quality, customer satisfaction, and measurable business outcomes while operating across secure and regulated environments.

Lead large-scale cloud migration and modernization initiatives for complex global customers. Advise executives on Azure and AI strategies, design secure and resilient hybrid or multicloud architectures, and guide solutions from planning through production. Coordinate Microsoft, partner, and international teams while resolving technical blockers, improving operational excellence, applying cloud frameworks, and delivering measurable business value. Mentor others and scale successful architectures through reusable frameworks, automation, and technical guidance.

Designs, builds, deploys, and operates production-grade AI applications, agents, services, integrations, and workflows. Leads architecture, coding standards, testing, experimentation, reliability, observability, security, compliance, and operational readiness. Translates business requirements into scalable technical solutions, mentors engineers, coordinates across teams, and develops reusable engineering patterns. Participates in on-call support, incident response, postmortems, and continuous improvement while using AI-assisted development tools to accelerate delivery.

Lead executive Windows endpoint strategy and high-impact customer engagements to defend and expand Windows adoption. Articulate Windows value across security, management, performance and AI, orchestrate partners and internal teams, deliver proofs and lighthouse wins, and provide product and go‑to‑market feedback to scale outcomes.