Technical Product Manager for AI Research
1 day ago
We are seeking a Technical Product Manager to join our Legal Technology team at Thomson Reuters Labs. This individual will drive the vision and execution for one of the CoCounsel Machine Learning teams and will product manage for a cross-functional team of technical professionals, including applied scientists and research engineers.
Key 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.
- You are a fit for the role if you have residency in/are based in Central or Eastern time zone.
- 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.
- 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.
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