The Director of Technology Engineering leads technology strategy and innovation for product development, overseeing architecture, engineering teams, and AI integration into products.

Lead Applied Scientists at Thomson Reuters Labs focus on innovating AI solutions using Generative AI, NLP, and information retrieval to enhance products, ensuring alignment with business objectives while mentoring and collaborating across functions.

As a Digital Product Manager, you will develop product vision, strategy, and roadmap while leveraging customer insights to prioritize features and manage the product backlog in an agile environment.

Lead the development of neuro-symbolic AI systems, focusing on multi-modal models and domain-specific reasoning to enhance the interaction of legal and tax professionals with information.

Lead full-cycle enterprise sales to grow adoption of AI-enabled legal technology across transactional practices at global large law firms. Build territory and account strategies, generate pipeline via targeted outbound and ABM, run mutual close plans, tailor demos to transactional personas, orchestrate cross-functional resources, maintain CRM/forecasting rigor, and meet quota through land-and-expand motions.

The Lead Software Engineer will develop AI-driven backend services, ensuring scalability and performance while collaborating across teams to enhance accounting workflows with intelligent solutions.

The Senior Applied Scientist will develop and manage AI solutions for Thomson Reuters, focusing on machine learning, NLP, and information retrieval to drive product innovation. They will collaborate with product teams and stakeholders, ensuring technical alignment with business goals.

Own product marketing for CoCounsel Legal: develop positioning and messaging, execute go-to-market plans, enable sales and customer advocacy, create marketing assets, run launches, and engage communities to drive awareness, adoption, and growth.

Support product team by assessing customer problems, conducting research and competitive analysis, prioritizing backlog, measuring product performance, and owning features with mentorship to grow into a PM.

Design, develop, and implement Salesforce solutions (Sales Cloud, CPQ, Apex, Visualforce, LWC). Integrate systems via REST/SOAP, manage enviroments and change control, use Git and data/integration tools, and deliver technical documentation while collaborating with cross-functional teams.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

The Senior Machine Learning Engineer will develop and implement machine learning solutions, ensuring scalability, security, and adherence to best practices while collaborating with cross-functional teams.

As a Senior Software Engineer, you will build and own .NET services integrated with Azure AI, design retrieval pipelines, and develop workflows using agentic AI concepts.

The Senior Software Engineer, AI will develop and maintain AI/ML features, implement models, and collaborate on innovative solutions within a cross-functional team.

The Senior Engineer is responsible for building AI observability capabilities, ensuring AI systems are reliable and continuously improving, while working with cloud and data engineering teams.

The Senior Software Engineer - AI will develop AI-driven systems, integrate models, provide technical leadership, ensure quality, and collaborate across functions in a cross-functional team.

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

The Associate Product Manager will support the PM team by assessing customer problems, prioritizing product backlogs, conducting research, and ensuring effective product delivery, while learning and growing in product management skills.

The Senior Applied Scientist will design, build, and deploy AI solutions for document understanding in the legal domain, leveraging NLP and deep learning methodologies. This role involves collaborating with product teams, advancing model capabilities, and ensuring robust training and evaluation methodologies.

The Associate Salesforce Engineer drives technical implementations on the Salesforce platform, collaborates with teams, and contributes to solution development and documentation.