Jobs at Thomson Reuters

Leads pre-sales engagements for legal AI solutions with mid-size law firms. Designs practice-specific AI use cases, conducts demonstrations and proofs of concept, builds ROI and business cases, and partners with sales, engineering, product, and implementation teams. Presents to managing partners and executives, addresses technical and commercial objections, shapes proposals, and communicates customer needs internally. Requires legal practice experience, generative AI expertise, legal technology familiarity, and approximately 25–30% travel.

Leads global subscription growth strategy for Reuters Professional across web and mobile apps. Owns paywall, registration, acquisition, retention, and product testing roadmaps; analyzes audience cohorts, customer journeys, attribution, churn, and lifetime value. Partners with Product, Engineering, Analytics, Editorial, Newsletters, Design, and Marketing to improve conversion, engagement, and subscriber retention while translating performance data into actionable roadmaps and recommendations.

Manage government and court customer portfolios adopting Thomson Reuters legal AI solutions. Build strategic relationships, create success plans, design AI-enabled legal workflows, drive user adoption, support change management, lead executive business reviews, improve retention, and communicate customer feedback to internal product and engineering teams. The role requires legal or attorney-facing experience, government knowledge, customer success or account management experience, and up to 25% travel.

Leads and develops Forward Deployed Engineering teams delivering secure, scalable AI and software solutions for legal-industry customers. Responsibilities include architecture, LLM agent development, MLOps and LLMOps strategy, technical delivery, customer discovery, prototyping, production observability, talent management, and cross-functional collaboration with Product, Engineering, Sales, and Customer Success.

Manage government and law enforcement customer portfolios using Thomson Reuters Risk & Fraud AI solutions. Build strategic relationships, success plans, adoption strategies, and executive business reviews. Help customers transform investigative workflows through AI, support change management and training, capture delivered value, improve retention, and communicate customer feedback to internal Product and Engineering teams.

Manages enterprise and strategic legal technology customers, driving adoption, value realization, retention, and expansion through customer success plans, executive business reviews, check-ins, enablement, and proactive risk management. Serves as a CoCounsel product expert, presents customer and business insights, supports cross-functional initiatives, and uses Gainsight, Salesforce, and Gong to manage account information, pipeline, and forecasts.

Build and deploy secure, scalable software and AI solutions for legal workflows. Partner with legal customers to translate needs into technical products, develop production-grade Python services, evaluate LLM outputs, optimize prompts, and apply cloud-native, DevOps, and infrastructure-as-code practices. Mentor engineers, manage technical debt, and collaborate across engineering, product, legal, and design teams.

Lead the vision, strategy, roadmap, governance, and commercialization of Thomson Reuters’ shared Agentic Platform for Tax and Trade products. Partner with product lines, engineering, AI, security, compliance, design, sales, and finance to deliver orchestration, memory, integrations, identity, evaluation, and human-in-the-loop capabilities. Build and mentor a product management team, align senior stakeholders, manage platform economics, establish quality standards, and drive adoption, reliability, and business impact across a global B2B SaaS portfolio.

Leads the technical strategy, architecture, and delivery of bespoke production AI solutions for legal customers. The role designs RAG pipelines, multi-agent systems, event-driven backends, and secure integrations; establishes MLOps, observability, evaluation, and AI quality standards; and owns complex, high-risk engagements. It also involves executive and client engagement, mentoring senior engineers, influencing product roadmaps, and driving AI-native engineering practices across teams.

The Director of Workflow Engineering will lead ServiceNow architecture, develop AI-driven workflows, oversee automation, and ensure compliance with ITSM policies to enhance operational efficiency.

Design, build, test, and deploy secure cloud-native software and AI solutions for legal workflows. Partner with legal customers to translate needs into scalable products, evaluate LLM outputs, optimize prompts, apply DevOps and infrastructure-as-code practices, manage technical debt, and mentor junior engineers. The role requires strong Python and distributed-systems expertise, legal fluency, client communication, and collaboration across engineering, product, legal, and design teams.

Build and lead a customizable, enterprise-scale search retrieval platform. Responsibilities include designing retrieval APIs and search services, managing ingestion and indexing pipelines, enabling hybrid retrieval and ranking, operationalizing evaluation and observability, enforcing multi-tenant security, owning SLOs and on-call, and partnering with product, research, and applied science teams. The role also sets architectural direction, leads cross-team initiatives, and mentors engineers.

Build and operate Thomson Reuters’ scalable search platform, including document ingestion pipelines, indexing systems, query APIs, cloud infrastructure, and AI-enabled retrieval capabilities. Responsibilities include designing distributed services, migrating from OpenSearch to Vespa, improving observability and reliability, participating in on-call, owning production incidents, mentoring engineers, and collaborating with research scientists and client teams to deliver search and AI features.

Build and deploy production-grade AI solutions for legal workflows, including RAG pipelines, agentic systems, enterprise integrations, evaluation frameworks, and observability. Collaborate with architects, engineers, clients, and legal subject-matter experts to translate legal needs into secure, scalable implementations. Participate in technical discovery, prototyping, demonstrations, prompt engineering, model evaluation, red-teaming, and MLOps/LLMOps lifecycle management.

Design, build, and operate a scalable search control plane managing provisioning, configuration, upgrades, indexing, and retirement across Kubernetes, Kafka, Vespa, and OpenSearch. Own multi-tenant security, observability, SLOs, infrastructure as code, CI/CD, capacity planning, reliability, and incident response. Provide technical leadership, establish architectural standards, lead infrastructure initiatives, partner with client teams, and mentor engineers.

Leads the Risk Solution Consulting team supporting Thomson Reuters CLEAR solutions. Manages people development, sales strategy, complex customer opportunities, product demonstrations, API and batch integrations, partner solutions, and cross-functional execution. Drives revenue outcomes, customer experience, operational metrics, coaching, forecasting, and go-to-market readiness across risk, fraud, identity, compliance, investigations, and data-integration use cases.

Own key areas of the CoCounsel application experience from problem definition through delivery. Shape product strategy and roadmap, improve UX and performance, drive adoption and retention, and lead initiatives such as personalization and collaboration. Partner with product, engineering, customer-facing, legal, IT, security, and operations stakeholders to translate customer needs into experiments, requirements, and measurable outcomes. Develop repeatable UI patterns and documentation while supporting commercial and customer success teams.

Leads the AI vision, roadmap, governance, and value realization strategy for Sales, Customer Success, Professional Services, and Partnerships. Prioritizes use cases, directs build-versus-buy decisions, delivers AI solutions with Engineering, drives adoption, and measures business impact. Establishes responsible AI controls, data standards, operating processes, and executive reporting while leading product managers and business analysts.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, leads AI-native feature development, integrates LLMs and generative AI, improves Micro Front End scalability and latency, mentors global engineering teams, manages technical risk, and translates business needs into technical solutions. Requires extensive software engineering experience, modern web technologies, cloud platforms, AI/ML integration, enterprise SaaS experience, and advanced education.

Provides technical leadership for generative AI products in Corporate Tax and Trade. Defines software strategies, designs AI-native features, integrates LLMs, optimizes Micro Front Ends, mentors engineering leaders, manages technical risk, and translates business needs into scalable solutions. Requires extensive software engineering experience, modern web and cloud technologies, agentic AI expertise, enterprise SaaS experience, and the ability to lead complex initiatives.