Jobs at Thomson Reuters

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.

Leads go-to-market strategy for CoCounsel Legal and AI-driven legal solutions. Develops positioning, messaging, competitive insights, product launches, sales enablement, lifecycle marketing, and growth strategies. Partners with Product, Sales, Demand Generation, Communications, and executive stakeholders to influence roadmap decisions, represent customer needs, drive pipeline and adoption, and mentor other product marketers.

Build and own front-end architecture for AI agent interactions using React, TypeScript, streaming protocols, and cloud services. Develop resilient, accessible interfaces for complex legal drafting workflows; maintain CI/CD pipelines, automated Playwright testing, observability, deployments, and smoke tests. Collaborate with product, design, and AI teams to productionize agent capabilities, model asynchronous client states, and mentor engineers through reviews, design documentation, and shared components.

Leads complex customer renewals, protects existing revenue, identifies upsell opportunities, manages customer relationships and escalations, and delivers consultative sales engagements. The role partners with Account Executives and Sales Specialists, uses Salesforce and data insights to manage pipelines, and contributes to account and territory growth strategies. This is a remote US position supporting government and regulated-environment customers.

Develop and execute digital growth strategies for Legal and Tax ecommerce products. Own optimization and personalization roadmaps, define A/B tests, manage cross-functional stakeholders, track OKRs, analyze performance and market trends, and identify opportunities to increase digital sales and improve user experiences. Collaborate with Marketing, Data & Analytics, Legal, Commercial Engineering, and Performance teams to deliver measurable growth.

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.

Generates and qualifies new business opportunities through multi-channel outbound prospecting. Collaborates with Account Executives to build pipeline, researches prospects, conducts sales outreach, qualifies customer needs, schedules meetings, communicates Thomson Reuters solutions, and maintains accurate Salesforce activity records. The role also includes sales and product training to support progression into future account management opportunities.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

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 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 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.

Leads a team of Customer Success Managers serving high-value and growth customer segments. Responsibilities include people and performance management, customer success planning, retention and adoption strategy, cross-functional collaboration, process optimization, executive escalations, talent development, and data-driven risk and expansion analysis. The role focuses on improving customer health, product utilization, employee engagement, and team performance within a SaaS environment.

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.

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.

Build and productionize AI agentic features for legal professionals. Develop backend services with Python, FastAPI, and PostgreSQL; integrate LLM providers; implement orchestration, guardrails, observability, testing, and cloud-native CI/CD. Diagnose production issues, improve system reliability, and collaborate with Product, Design, and Labs teams. The role offers ownership early in the career and opportunities to expand into front-end and full-stack development.

Executes third-party diligence, identity verification, customer and supplier screening, and engagement-level risk assessments. Identifies, escalates, and documents compliance issues while collaborating with Risk, Sales, Procurement, and Accounts Payable teams. The role also supports continuous improvement of the enterprise Third Party Risk Management program through process enhancements, automation, and cross-functional projects.

Drive revenue by selling partnership products to small law firms. Responsibilities include prospecting, qualifying, conducting discovery and demos, closing full-cycle sales, collaborating with territory and partner teams, maintaining product knowledge, tracking opportunities in Salesforce, and coordinating technical support and onboarding.

Build and own scalable React and TypeScript front-end systems for AI agent interactions and complex legal workflows. Translate streaming events into resilient, responsive interfaces, shape front-end architecture, maintain CI/CD pipelines, run deployments and testing, improve observability, collaborate with product, design, and Labs teams, and mentor engineers. The role requires production-grade debugging, asynchronous state modeling, accessibility, and reliable delivery in a fast-paced environment.

Lead the architecture and delivery of scalable AI agentic legal products. Build Python and FastAPI backend services with PostgreSQL, integrate LLM providers, and design orchestration, streaming, guardrails, observability, testing, and deployment practices. Provide technical direction, mentor engineers, evaluate emerging AI techniques, define scalable system architectures, and collaborate with product, design, and Labs teams to productionize AI capabilities in a regulated professional domain.

Owns growth, retention, renewals, and new customer acquisition for CoCounsel across small law firms in England and Wales. The role manages high-volume sales pipelines, forecasting, onboarding, upselling, churn prevention, marketing alignment, and cross-functional deal execution. It also coaches sales staff, develops scalable sales processes, uses CRM and customer engagement data, and delivers segment-level revenue and retention targets.