Product Analyst

The Descartes•Waterloo, ON

1d•CA$40,000 - CA$50,000•Remote

About The Position

Descartes Unites the People and Technology that Move the World. The need for efficient, secure, and agile supply chains and logistics operations has become ever more critical and complex. By combining innovative technology, powerful trade intelligence and the reach of our network, Descartes helps get goods, information, transportation assets, and people where they’re needed, when they’re needed. We’re one of the most broadly deployed logistics and supply chain technology companies in the world. More than 26,000 customers around the globe use our cloud-based solutions to transform the way they move inventory and information to enhance productivity, better serve customers, thrive competitively, keep pace with evolving regulations, and respond to rapidly changing market conditions. Descartes is publicly traded (Nasdaq:DSGX, TSX:DSG) with headquarters in Waterloo, Ontario, Canada, and offices and partners around the world. With record financial performance for more than 16 years, we lead the industry in innovation investment. Every day, logistics service providers, manufacturers, retailers, distributors, and other logistics-intensive businesses of all sizes rely on our scale, stability, and comprehensive solution footprint to move what’s most important to them. Learn more at www.descartes.com. We’re growing fast and invite you to join our amazing team. Our customers rely on our platform to orchestrate complex warehouse, transportation, and last-mile logistics operations. As Product Delivery Lead, you will bridge customer operations and R&D, ensuring we build solutions that solve real business problems and deliver measurable outcomes. This is an API-first product leadership role operating within our Product Operating Model. You will partner closely with customers, Engineering, and Product to translate operational challenges into product outcomes, guide delivery, and continuously validate value through customer feedback, data, and AI-enabled product practices.

Requirements

Strong understanding of REST APIs, authentication, web services, payloads, webhooks, and API documentation.
Comfortable discussing integrations, API contracts, and data flows with Engineering.
Experience with enterprise integrations involving WMS, TMS, ERP, or similar platforms.
Familiarity with SaaS products, mobile applications, and product analytics (SQL or BI tools).
Strong understanding of warehouse, transportation, and last-mile operations.
Experience working within a Product Operating Model, using outcome-based planning, experimentation, and continuous discovery.
Ability to balance customer needs, technical feasibility, and business priorities.
Excellent stakeholder management and facilitation skills.
Professional fluency in French and English.
Uses AI responsibly to improve product management practices, research, prioritization, and analysis.
Applies critical thinking to validate AI outputs and keep recommendations grounded in customer value.
Working knowledge of English, as the employee will be called upon, as part of his/her duties, to interact on a regular and daily basis with stakeholders located outside Quebec on specialized, complex and cutting-edge subjects.

Responsibilities

Translate customer needs into clear product outcomes that guide R&D.
Deliver scalable API capabilities that improve warehouse, transportation, and last-mile operations.
Apply Product Operating Model practices to rapidly validate ideas through Build-Test-Learn cycles.
Reduce time from concept to customer value using customer feedback, prototypes, and data.
Drive enhancements to sorting, routing, sequencing, loading, and execution capabilities that improve customer KPIs such as throughput, dwell time, and delivery performance.
Ensure APIs provide reliable, real-time operational data.
Partner with customers and Engineering to define API contracts and support integrations across WMS, TMS, ERP, and mobile platforms.
Remove technical barriers that impact adoption and customer success.
Use AI to enhance product discovery, research, documentation, backlog refinement, and analysis.
Transform customer feedback and usage data into actionable product insights while applying sound judgment to AI-generated recommendations.
Foster trusted relationships across Product, Engineering, Customer Success, and customers.
Promote transparency, collaboration, and continuous improvement.