Thomson Reuters
Manager, Software Development Engineering- Search & IR
$118K–$220K
United States of America, Eagan, Minnesota +2 · Hybrid · Manager · Full-time · Posted Nov 3, 2026
- Location
- United States of America, Eagan, Minnesota
United States of America, Frisco, Texas
Canada, Toronto, Ontario - Experience
- 6+ years in software engineering, with at least 2 years in technical leadership or engineering management.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
About the job
Leads a team building and operating an API-first platform that gives AI agents reliable access to Thomson Reuters legal content, while governing cross-team contributions and platform quality.
What you'll do
- Own the Content Tools engineering roadmap, lifecycle, reliability, and operational practices, including retrieval evaluation and CI/CD.
- Set platform standards and contribution workflows for distributed teams, including tool versioning, governance, and discoverability.
- Manage and develop a team of 8 engineers and collaborate with Product, TR Labs, and CoCounsel Engineering.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 6+ years of software engineering experience, including at least 2 years in technical leadership or engineering management.
- Experience designing and operating API-first systems used by multiple teams, and governing shared infrastructure in a distributed development model.
- Proficiency in Python; strong fundamentals in API design, testing, CI/CD, information retrieval, and production operations.
Nice to have
- Experience with agentic AI tools or protocols such as MCP; legal technology or other high-stakes information retrieval domains.
- Search and retrieval infrastructure or evaluation frameworks, including IR metrics and CI/CD quality gates.
Pay
$118,400 USD - $219,800 USD (base salary); $140,600 CAD - $190,600 CAD (base salary)
Tools
Python, AWS, MCP, Elasticsearch, Vespa, OpenSearch
AI focus
Builds APIs and tools that provide legal content to AI agents; includes evaluating retrieval quality, supporting agentic workflows, and targeting more than 50% of code written with AI assistance.
Model-written summary · the original posting is authoritative