Jobs at Thomson Reuters

Sell Reuters and partner archive content to media, advertising, and entertainment clients. The role focuses on new business development, client relationship management, complex deal negotiation, content licensing, sales forecasting, and pipeline management. It also involves coaching and line managing 2–3 sales executives, maintaining expertise in Reuters archive content, monitoring market trends, and advising clients on relevant footage and imagery.

Develop and execute joint marketing strategies and demand-generation campaigns with strategic partners. Responsibilities include pipeline generation, product launches, webinars, events, digital campaigns, vendor and budget management, performance reporting, lead database maintenance, event logistics, and cross-functional collaboration with sales, product marketing, account management, and partners.

Onboard, train, and enable customers using Thomson Reuters legal technology products. Develop tailored use cases, drive adoption and value realization, provide strategic guidance, manage customer relationships, improve retention and satisfaction, identify expansion opportunities, advocate for customer needs, and collaborate with Sales, Marketing, Support, Product, and Engineering.

Own and grow a portfolio of commercial B2B conferences, researching insurance and reinsurance trends to develop relevant agendas and event strategies. Drive revenue, attendance, audience engagement, and event quality while collaborating with sales, marketing, editorial, and operations teams. Monitor performance, strengthen client relationships, manage projects and budgets, and identify opportunities for portfolio growth across global markets.

Assists the Practical Law Global team by creating, maintaining, reviewing, and editing legal content. The role includes liaising with contributors, supporting publishing and content database administration, ensuring editorial and technical compliance, and contributing to legal AI and technology projects. Candidates need a law degree or equivalent conversion qualification, legal or publishing experience, strong communication and organizational skills, attention to detail, and Microsoft Office proficiency.

Design, build, and deploy end-to-end document understanding and search-led AI solutions for legal content: semantic chunking, document enrichment, knowledge graph construction, synthetic data generation, and model compression. Collaborate with engineering and product teams to scale production systems, define evaluation strategies, and advance research through publications and IP.

Lead design and deployment of document understanding systems (semantic chunking, enrichment, classification, information extraction, knowledge graph construction, tabular understanding) for legal, tax, and accounting content. Drive production-quality ML/LLM pipelines, evaluation frameworks, and scalable architectures; partner with engineers, mentor scientists, and shape AI strategy and product roadmaps.

Leads vision, strategy, roadmap, and end-to-end delivery for audit products. Engages customers, translates workflows into requirements, prioritizes investments, defines success metrics, and partners with engineering and design to deliver AI-enabled experiences. Uses data and experimentation to improve outcomes, advocates for customer needs, owns product performance, and mentors junior product managers.

Lead product strategy, roadmap, and lifecycle management for AI-driven enterprise applications in the legal domain. Partner with engineering, data science, design, marketing, sales, and customer success teams to deliver production-ready LLM and AI-agent solutions, transactional applications, workflow automation, platform capabilities, and API integrations. Translate customer and market needs into secure, reliable, usable products and communicate progress to stakeholders.

Support sales by delivering tailored demonstrations and needs analysis for ONESOURCE Indirect Tax solutions. Advise global clients on VAT and indirect tax processes, document tax scenarios, develop demo data/scripts, collaborate with Product and Sales to shape product roadmap, and participate in marketing and training activities to drive opportunities and ensure excellent client experience.

Serve as an application and solution specialist for the ONESOURCE Pagero platform. Manage multiple implementation projects, configure and test applications, troubleshoot customer issues, deliver training, and document project deliverables. Collaborate with Product, Sales, Support, Engineering, and partners; contribute to project planning, timelines, budgets, and pre-sales activities including demonstrations and prospect scoping.

Sell Thomson Reuters technology solutions to new and existing legal-sector customers across the UK and Ireland. Responsibilities include prospecting, building cross-sell, up-sell, and new-business pipelines, conducting consultative sales conversations, presenting tailored solutions, negotiating and closing deals, forecasting, maintaining Salesforce records, and strengthening customer relationships and satisfaction.

Lead the strategy, engineering roadmap, and team responsible for AI, data products, risk automation, third-party due diligence, and continuous assurance. Build governed, enterprise-grade solutions using LLMs, agentic workflows, data platforms, and automated controls testing. Partner with senior stakeholders across Risk, Compliance, Privacy, Data, Legal, Product, and Technology while establishing operating models, responsible AI practices, data governance, access controls, monitoring, and reliability standards.

Lead technical implementations of ONESOURCE Indirect Tax with SAP integrations. Develop complex Object-Oriented ABAP, gather and translate business requirements, design integration solutions, configure integrations, troubleshoot multi-add-on issues, create and execute tests, collaborate with project teams and pre-sales, and ensure tax compliance across ERP, eCommerce, and POS systems.

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

Design, issue, and communicate annual sales incentive plans and supplemental incentives; analyze effectiveness and align plans with company goals; partner with Sales, Finance, HR, Sales Operations, and Quota/Territory teams; enforce sales policies; lead cross-functional projects and coach team members while delivering accurate, timely compensation calculations and reporting.

The Research Scientist Manager will lead a global team in foundational machine learning research, focusing on advanced algorithms and AI systems, mentoring team members, and participating in the entire research lifecycle including coding and experimentation.

Produce and maintain practical, market-aligned finance law content (lending, security, leveraged finance); review and edit contributions; keep materials current with legal and market developments; support development and application of Thomson Reuters AI-powered legal solutions and internal AI editorial tools; build relationships with external lawyers and internal teams (product, sales, marketing, technology).

Lead teams in foundational AI research, focusing on ML and NLP development. Innovate and share technical findings in AI model training, collaborating with global experts.