Product Manager Intelligence

Nutrien; Calgary; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading agricultural company in Calgary is seeking an experienced Product Manager focused on AI/ML features. You will set the strategy and roadmap, ensuring seamless integration of crop input solutions through innovative technology. The ideal candidate will have over 5 years of experience in product management, particularly with data-driven features. Strong skills in communication and stakeholder alignment are essential. Join us to drive impactful changes in agriculture.

Qualifications

• 5-8+ years in product management, with a focus on ML features.
• Strong skills in hypothesis framing and metrics design.
• Proficiency in SQL or analytics tools.

Responsibilities

• Set the strategy for AI/ML-powered features.
• Gather feedback to refine product capabilities.
• Ensure responsible AI practices throughout the lifecycle.

Skills

Data/ML feature shipping

Experimentation expertise

Strong communication skills

Stakeholder alignment

Education

5-8+ years in product management

Tools

SQL or equivalent analytics tools

Job description

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?