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Thomson Reuters

Legal, financial data, and media services

Manager – Software Development Engineering-Search & IR

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 6 years of software engineering experience, including at least 2 years in a technical leadership or engineering management role.
  • Demonstrated experience designing and operating API-first systems consumed by multiple teams, with a product mindset toward developer experience and internal customer satisfaction.
  • Proficiency in Python and strong software engineering fundamentals, API design, unit and integration testing strategy, information retrieval evaluation, and continuous integration and continuous delivery practices.
  • Technical depth in complex systems, including decomposing designs, reasoning through alternatives and trade-offs, asking incisive questions, and influencing technical decisions in partnership with Senior and Staff engineers, architects, and scientists.
  • Experience building and governing shared platform infrastructure in a distributed development model, including contribution standards, versioning policies, and cross-team coordination.
  • Working knowledge of information retrieval concepts, including precision/recall trade-offs, hybrid search, citation networks, and document retrieval patterns, sufficient to make architectural decisions and partner with scientists; ability to deepen expertise in adjacent domains such as agentic systems and evaluation frameworks.
  • Ability to lead teams that own production systems end to end, including on-call responsibilities, service-level objective management, and incident response.
  • Experience with agile methodologies and ability to build alignment across engineering, product, and science teams.
  • Awareness of artificial intelligence ethics, content licensing considerations, and responsible deployment of retrieval systems.

Responsibilities

  • Own the end-to-end engineering roadmap for Content Tools, covering tool design and implementation, command-line interface and software development kit exposure, continuous integration and continuous delivery pipelines, evaluation infrastructure, and cloud operations while balancing capability delivery with quality and reliability.
  • Engage deeply in architecture and system design, participate in technical reviews, and make targeted hands-on engineering contributions when they advance delivery or unblock the team.
  • Drive an API-first, contract-driven approach in which every tool has a versioned command-line interface contract, schema, and ownership metadata for discoverability and use by consuming teams.
  • Establish patterns, templates, and contribution standards for distributed teams, including review workflows, quality gates, namespace governance, and guidance on creating or extending tools.
  • Lead development of the information retrieval evaluation framework, validate tools against representative datasets before release, and ensure performance regressions are automatically detected in continuous integration and continuous delivery.
  • Ensure full-stack operational ownership, including on-call rotations, service-level objective definitions, incident response, and production health monitoring.
  • Partner with TR Labs and CoCounsel Engineering to meet agentic workflow interface requirements, including tool invocation patterns, result provenance, and citation handling.
  • Oversee platform infrastructure, including AWS cloud services, observability tooling, rate limiting, caching strategies, and multi-tenant access controls protecting licensed content.
  • Serve as engineering accountability point for the Content Tools ecosystem and its standards and guardrails across partner teams.
  • Define and maintain contribution workflows, architectural review criteria, and consistency checks to prevent duplicated capabilities and ensure interoperability.
  • Manage tool lifecycle policies, including deprecation, migration support, versioning strategies, and breaking-change processes; communicate proactively with consuming teams.
  • Build and maintain a centralized tool registry with machine-readable descriptions, usage guidance, and performance characteristics.
  • Establish shared development infrastructure, including common libraries, boilerplate generators, mock services, and local development environments.
  • Build and lead a team of eight software engineers, managing hiring, onboarding, performance, and professional development.
  • Develop engineers with software fundamentals and domain fluency in information retrieval, content APIs, and agentic system design, supporting ownership from first commit through production operations.
  • Foster empowered ownership, giving engineers autonomy to define problems, authority to make technical decisions, and accountability for reliable production operations.
  • Explain content technology concepts to non-technical stakeholders, including product managers, business leaders, and partner teams.
  • Model and reinforce AI-assisted development as a team norm, targeting more than 50% of code written with AI assistance.
  • Define and maintain engineering processes for shared tool infrastructure and production content capabilities, including rigorous testing, code review, and continuous evaluation through offline information retrieval grading pipelines and online signals.
  • Establish platform health and developer experience benchmarks, including tool reliability service-level objectives, client onboarding time-to-value, information retrieval evaluation pass rates, and tool invocation accuracy; use them to drive improvement.
  • Evaluate and integrate emerging tool protocols, including Model Context Protocol support, and retrieval patterns based on production readiness and operational implications.
  • Build working relationships with Labs, Product, and CoCounsel Engineering, engaging early in agentic workflow design to align tools with agent access patterns.
  • Collaborate across the organization to align the Content Tools roadmap with business priorities in CoCounsel Legal Next, Westlaw, and the broader Thomson Reuters product portfolio.
  • In the first 90 days, learn the current Content Tools architecture, tool inventory, continuous integration and continuous delivery pipelines, information retrieval evaluation infrastructure, and key quality, reliability, and developer experience gaps.
  • In the first 90 days, establish working relationships with CoCounsel Engineering, Product, and TR Labs and understand stakeholder priorities and pain points.
  • In the first 90 days, complete open hiring on the team and identify and begin addressing high-leverage improvements to contribution governance, delivery friction, and operational posture.
  • In the first year, lead a major platform milestone, such as expanding the tool catalog or materially improving governance and contribution models, with strong technical execution and minimal disruption to consuming teams.
  • In the first year, develop the team into a high-performing engineering organization with full-stack ownership, continuous delivery, and AI-assisted development as embedded habits.
  • In the first year, build a trusted presence with TR Labs, participate in agentic workflow design, and establish an integration pathway from tool development to agent use.
  • In the first year, establish Content Tools as a documented and reliable internal platform that partner teams can build, contribute to, and iterate on without direct involvement from the Content Tools Engineering team.
  • In the first year, provide strategic input on tool ecosystem direction, influence cross-team engineering standards, and develop Senior and Staff engineers.

Desired Qualifications

  • Experience building tools or APIs for agentic artificial intelligence systems, including familiarity with tool protocols such as Model Context Protocol or similar.
  • Background in legal technology, knowledge management, or other high-stakes information retrieval domains where provenance, accuracy, and entitlement enforcement are critical.
  • Hands-on experience with search and retrieval infrastructure such as Elasticsearch, Vespa, or OpenSearch, and understanding trade-offs between semantic and structured search.
  • Experience with evaluation frameworks for retrieval systems, including dataset design, information retrieval metrics such as Precision, Recall, and NDCG, and continuous integration and continuous delivery quality gates.
  • Familiarity with content access control, policy-based entitlements, and licensing enforcement in multi-tenant environments.
  • Experience operationalizing tooling for large language model-powered workflows, including prompt engineering, tool description design, and agent invocation patterns.

About the Company

Thomson Reuters

Legal, financial data, and media services

Thomson Reuters provides intelligent information and professional services for law, tax, finance, and media. It serves law firms, corporations, government agencies, and financial institutions with platforms like legal research (Westlaw), tax software (UltraTax CS), financial market data, and news services. These products are accessed through subscription-based platforms, ensuring ongoing updates and a steady revenue stream. The company also monetizes through advertising on media platforms and data analytics sales. It distinguishes itself by offering a broad, integrated suite of industry-specific tools combined with AI, cognitive computing, and machine learning to improve accuracy, efficiency, and predictive analytics in research and data insights. Its goal is to be a trusted partner that helps professionals make informed decisions by delivering reliable information and decision-ready tools while pursuing responsible, values-driven initiatives.

Company size
10,001+
Company stage
IPO
Headquarters
Toronto, Canada
Founded
1851

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