Technical Product Manager (ML/NLP)

$91,700 - $170,300/Yr

Thomson Reuters - Eagan, MN

Full-time - Mid Level

Eagan, MN

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About the position

In this opportunity as Technical Product Manager, you will play a pivotal role in driving the vision and execution for one of the CoCounsel Machine Learning teams within Thomson Reuters Labs. This position involves product management for a cross-functional team of technical professionals, including applied scientists and research engineers. Thomson Reuters Labs is dedicated to applied research, focusing on the development and application of AI and emerging technologies. The team collaborates closely with stakeholders to experiment, prototype, test, and deliver innovative solutions aimed at creating smarter and more valuable tools for customers in the legal, tax, and regulatory fields. The goal is to harness the power of proprietary big data and emerging technologies to solve complex real-world challenges. As a Technical Product Manager, you will define, socialize, drive, and report on product Objectives and Key Results (OKRs) and their corresponding Key Performance Indicators (KPIs). You will assemble the technical product vision and roadmaps, define epics and features, collect and review user feedback, refine user requirements, prioritize tasks, drive execution, and adjust delivery schedules as needed to ensure progress towards OKRs. You will partner with leadership to plan for adequate team resourcing, effective collaboration, and to properly estimate and communicate delivery timelines. Your role will also involve ensuring alignment with partnering product, engineering, content, design, and subject matter expert teams, while identifying and implementing communication patterns that facilitate collaboration while protecting team focus. Additionally, you will provide technical guidance to partner product teams during all phases of development, including solution brainstorming, prioritization, technical feasibility scoping, and UX research/design. Balancing factors such as cost, time to market, and resourcing will be crucial to optimize iterative value delivery for customers. This role requires a strong understanding of the end-to-end model development lifecycle, particularly in applied AI research, and a passion for continuous innovation.

Responsibilities

• Define, socialize, drive and report on product Objectives and Key Results (OKRs) and their corresponding Key Performance Indicators (KPIs).
• Assemble technical product vision, roadmaps, define epics and features, collect and review user feedback, refine user requirements, prioritize, drive execution, and adjust delivery schedules as needed to drive progress towards OKRs.
• Partner with leadership to plan for adequate team resourcing, effective team collaboration, and to properly estimate and communicate delivery timelines.
• Ensure your team is aligned with partnering product, engineering, content, design, and subject matter expert teams.
• Identify and implement communication patterns that facilitate collaboration while protecting team focus.
• Provide technical guidance to partner product teams during all phases of development including but not limited to solution brainstorming, prioritization, technical feasibility scoping, and UX research/design.
• Balance factors such as cost, time to market and resourcing to optimize iterative value delivery for customers.

Requirements

• Bachelor's degree in computer science, engineering, machine learning or related field.
• At least 3 years of experience as a member of a technical product development team working on applied AI research, including contributing to and driving end-to-end delivery of technical AI research products.
• Exceptional written and verbal communication skills, capable of presenting complex information clearly to diverse audiences and articulating a compelling strategic vision.
• Demonstrated ability to build relationships and influence within a matrix organization.
• Experience with agile project management and scrum methodologies.
• Strong analytical and quantitative skills, utilizing data and metrics to inform decisions.
• Experience collaborating with cross-functional teams (technology, design, marketing) to balance trade-offs in technologies and execution strategies.
• High attention to detail and proven ability to manage multiple, competing priorities simultaneously with minimal supervision.
• Experience balancing short-term tactical execution with strategic long-term vision.

Nice-to-haves

• At least 3 years of experience building ML, NLP or Computer Vision systems from ideation to production.
• At least 1 year of experience owning a Software as a Service, Machine Learning Platform, Human in the Loop or AI as a Service products.
• Experience coaching and developing a team of indirect reports.
• Data-driven decision making.
• Experience writing and publishing research papers at conferences and workshops.

Benefits

• Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country.
• Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
• Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
• LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters cafe networking.
• Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
• Market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match.
• Competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave.
• Optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.