Senior Technical Product Manager (ML, NLP)

Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs  in Minneapolis is seeking a Senior Technical Product Manager with a passion for human-in-the-loop technology development and a strong track record of AI product delivery. 

 
What does TR Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of content driven technology for Legal and Tax Professionals globally.  

About the Role 

As a Senior Technical Product Manager in Labs, you will drive design and implementation of the technology we develop to prototype, evaluate and monitor robust search applications. This team builds customer-facing solutions, primarily for information retrieval use cases in the legal research domain. Product and subject matter experts are deeply integrated at every stage of the AI development lifecycle. The goal is to design systems and processes that facilitate this collaboration and continuously improve our approach. 

As a Senior Technical Product Manager, you will:  

• Own the roadmap for internal tooling that enables highly efficient, reliable evaluation of search and related Gen AI features.  

• Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements for customer facing applications. 

• Partner with leadership to create resource plans, ensure effective cross-team collaboration, and drive execution around product delivery. 

• Provide technical guidance to partner product teams across the portfolio, as appropriate, throughout the model development lifecycle to mentor, proactively mitigate risk, and remediate blockers. 

• Socialize progress and learnings to a diverse set of stakeholders to inform go, no-go, and pivot decisions, as well as to propagate learnings across the business. 

• Balance factors such as cost, time to market and resourcing to optimize iterative value delivery for customers. 

• Stay well informed on emerging technologies and market trends. 

• Cultivat