Nutrien is a leading provider of crop inputs and services, and our business results make a positive impact on the world. Our purpose, Feeding the Future, is the reason we come to work each day. We’re guided by our culture of care and our core values : safety, inclusion, integrity, and results. When we say we care, we mean it. We’re creating an inclusive workplace where everyone feels safe, has a sense of belonging, trusts one another, and acts with integrity.
Through the collective expertise of our nearly 26,000 employees, we operate a world-class network of production, distribution, and ag retail facilities. We efficiently serve growers' needs and strive to provide a more profitable, sustainable, and secure future for all stakeholders. Help us raise the expectation of what an agriculture company can be and grow your career with Nutrien.
What You'll Do :
- Drive Product Vision : Set the strategy and roadmap for AI / ML-powered features, including smart assistants, yield predictions, recommendations, and proprietary recommendation models that differentiate our platform.
- Translate Outcomes into ML-Backed Product Bets : Work with Data Science, Engineering, Design, Field Enablement, and Agronomy SMEs to turn agronomic and commercial objectives into actionable, ML-driven product initiatives.
- Design for Multi-Modal Intelligence : Shape capabilities across chat, voice, forms, and emerging modalities, ensuring seamless and high-trust user experiences for crop consultants, growers, and operations teams.
- Deliver Explainable AI : Champion transparency by embedding explainability, data freshness, and “why this?” logic into every recommendation and action.
- Orchestrate End-to-End Automation : Connect insights to execution—automating prescription generation, order placement, dispatch, and integrations with minimal user friction.
- Simplify Complex Workflows : Streamline financing, compliance, and operational processes, surfacing the right information and nudges at the right time.
- Iterate with Users : Gather feedback from field teams and growers, using real-world insights to refine conversational and automation capabilities.
- Ensure Responsible AI : Implement robust guardrails for privacy, bias, and compliance, and drive adoption of responsible AI practices throughout the product lifecycle.
What You'll Bring :
Experience : 5–8+ years in product management with a track record of shipping data / ML features (A / B tests, cohort analysis, post-launch monitoring).Proprietary Model Development : Experience designing, launching, and iterating on proprietary recommendation models or similar ML-driven features.Experimentation Expertise : Strong skills in hypothesis framing, metrics design, guardrail definition, and experiment interpretation.Technical Partnership : Proven ability to work closely with engineering, articulate model lifecycle and governance, and drive alignment across technical and non-technical teams.Analytics Literacy : Proficiency in SQL or equivalent analytics tools; ability to define and implement instrumentation for product telemetry.Communication : Exceptional documentation and communication skills; able to translate complex ML concepts into actionable, plain-language narratives for diverse audiences.Stakeholder Alignment : Demonstrated ability to align and influence stakeholders, from field teams to executives, in ambiguous and rapidly evolving environments.Domain Knowledge : Experience with ag data (telemetry, imaging), geospatial, edge / offline environments.Ready to make an impact with us?