Top Tech Jobs & Startup Jobs in London

As a Technical Solutions Manager, you'll provide technical support to enterprise clients, translating business requirements into solutions and troubleshooting challenges. You'll work with various teams to manage client relationships and feedback for product development.

As a Revenue Analytics Engineer, you'll manage financial pipelines, analyze revenue data, develop reports, and collaborate with various teams to enhance financial performance through insights.

The Global Head of Solution Consulting will shape the strategy for the Solution Consulting department, leading teams across various regions to enhance customer engagement and satisfaction while fostering innovation and accountability.

As a Staff Product Manager, you'll lead DeepL's Voice Meetings product, managing its strategy, user experience, and growth metrics while engaging with customers and collaborating across teams.

The Senior Staff Software Engineer will guide technical decisions to ensure scalability, reliability, and security of internal systems, facilitating architecture across teams and managing revenue data.

The Senior Research HPC Engineer will enhance AI performance through optimizing GPU clusters, model training, and low-latency inference solutions while collaborating with researchers across various teams.

As a Legal Counsel, you will advise on regulatory obligations, implement requirements affecting products, assist with legal documents, develop training materials, respond to data requests, and perform administrative tasks.

The Senior Legal Counsel will draft and negotiate complex commercial agreements, provide legal advice, and support the GtM team while developing legal templates and conducting training.

The Deal Desk Manager will lead the Deal Desk function, managing the end-to-end process, providing guidance on deal structure, and partnering with sales management for revenue growth and compliance.

The Head of Tooling will lead the Research Tooling Unit, defining the strategic vision, mentoring managers, and aligning initiatives to enhance AI research productivity.