Lead Product Manager – R&D; Decision Intelligence & Digital Analytics (AI)

Location: Stein, Switzerland

Company

hirify.global develops agricultural technologies, crop protection solutions, and digital products that support productive and sustainable farming across more than 90 countries.

What you will do

• Define the vision, strategy, roadmap, value hypotheses, and portfolio priorities for an R&D Product-Oriented Delivery area.
• Lead delivery of digital products for analytics, forecasting, scenario planning, resource planning, optimization, and AI-enabled decision support.
• Translate R&D and business needs into measurable outcomes while coordinating business, data, technology, security, architecture, and governance stakeholders.
• Manage product delivery practices, dependencies, risks, vendors, budgets, and investment decisions across the portfolio.
• Drive adoption, change management, continuous improvement, and executive reporting through outcome metrics, user feedback, and performance data.
• Coach and develop Product Managers and build high-performing product teams.

Requirements

• Proven experience leading product-centric teams and delivering measurable outcomes through Agile or Lean product practices.
• Strong capabilities in product strategy, roadmapping, portfolio management, prioritization, value measurement, and enterprise product launches.
• Experience with analytics, predictive modeling, decision intelligence, planning, forecasting, optimization, or AI-enabled digital products.
• Understanding of AI/ML and agentic AI, including human-in-the-loop decision-making, explainability, traceability, evaluation, monitoring, and governance.
• Knowledge of scientific data, model lifecycle management, data provenance, reproducibility, metadata, cataloging, data governance, and solution architecture.
• University degree in IT, Engineering, Computer Science, Science, or a related field, or equivalent experience.

Culture & Benefits

• Work on technology supporting scientific innovation and sustainable agriculture.
• Address complex, high-scale platform and systems challenges with room for technical judgment.
• Collaborate with global engineering, R&D, and product communities.
• Build influence through visible outcomes, challenging work, and a global professional network.