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Product Manager Digital Farming AI

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Location
Belfast, United Kingdom
Type
Full-time
Department
IT
Seniority
Manager
Experience
5+ years
Education
Master
Closing date
Today
Source
Workday

Description

GEA is seeking a Product Manager – Computer Vision Systems to join our Digital Solutions team in Belfast. The role will focus on AI- and camera-based solutions for dairy farming, including animal monitoring, identification, health assessment, and future computer vision applications within the DairyNet ecosystem.
As Product Manager, you will be responsible for defining product strategy, translating customer needs into product requirements, and driving successful market adoption through close collaboration with R&D, UX, Sales, Marketing, Service, and external technology partners.

This position is offered as a two-year fixed-term contract to provide maternity leave cover.
Location: Belfast, Northern Ireland

Responsibilities / Tasks

This position is offered as a two-year fixed-term contract to provide maternity leave cover.
Location: Belfast, Northern Ireland

 

Product Strategy & Portfolio Management

  • Own the product lifecycle for Computer Vision solutions from concept to market launch and lifecycle management.

  • Define product vision, value proposition, market positioning, and roadmap.

  • Identify customer needs, market trends, and competitive developments.

  • Develop business cases and support portfolio investment decisions.

  • Align product strategy with GEA's Digital Farming and DairyNet roadmap.

Customer & Market Insights

  • Engage directly with dairy farmers, dealers, distributors, and key accounts.

  • Translate customer problems into product opportunities and requirements.

  • Gather and prioritize customer insights and market feedback.

  • Conduct competitive analysis and support go-to-market strategies.

Product Definition & Requirements

  • Define functional and non-functional product requirements.

  • Prioritize features and requirements in collaboration with software, AI, and cloud development teams.

  • Support product validation and acceptance testing.

  • Ensure scalability, usability, and commercial viability of solutions.

Cross-Functional Leadership

  • Act as primary interface between Product Management, R&D, UX, Sales, Service, and Marketing.

  • Coordinate internal and external stakeholders throughout the product lifecycle.

  • Support strategic partnerships with technology suppliers and development partners.

  • Drive alignment on priorities, timelines, and product scope.

Market Introduction & Commercialization

  • Support pricing strategy and commercial offering development.

  • Create sales enablement material and product documentation.

  • Deliver product training for sales, service, and dealer organizations.

  • Monitor product performance and customer adoption after launch.

Your Profile / Qualifications

Education

  • Bachelor's or Master's degree in Agriculture, Engineering, Computer Science, Animal Science, Data Science, Business, or a related field.

Required Experience

  • Minimum 5 years of professional experience in the dairy farming industry.

  • Strong understanding of dairy farm operations, herd management, animal health, milking systems, and farm workflows.

  • Experience working directly with dairy farmers, dealers, distributors, veterinarians, consultants, or agricultural technology providers.

  • Proven experience translating customer needs into successful product requirements and market offerings.

  • Experience in Product Management, Technical Product Management, Application Management, Farm Consulting, or a comparable customer-facing role.

  • Willingness to travel internationally and spend significant time on farms and with customers.

Preferred Experience

  • Experience with Computer Vision, Artificial Intelligence, Machine Learning, Sensor Technology, or Digital Farming solutions.

  • Experience with dairy software platforms, herd management systems, precision livestock farming, or farm automation technologies.

  • Knowledge of SaaS and cloud-based digital products.

Did we spark your interest?
Then please click apply above to access our guided application process.

Skills

Machine LearningComputer VisionData Science

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