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Principal Product Manager, Platform

Job in Ottawa, Ontario, Canada
Listing for: Kinaxis Inc.
Full Time position
Listed on 2026-09-05
Job specializations:
  • Business
    AI Business & Operations, Product Manager
Salary/Wage Range or Industry Benchmark: 140000 - 190000 CAD Yearly CAD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption.

With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Location

Ottawa and Toronto, Canada
- Hybrid

Other Canadian locations - Remote

About the role
  • The Principal Product Manager, Platform will help shape Maestro’s evolution into a composable, extensible, and agentic platform. This senior individual contributor owns strategy and execution for critical platform capabilities and works closely with engineering, data, cloud service and GTM teams to turn complex customer and developer needs into scalable products.
  • The role requires a systems thinker and hands-on product leader who can set direction, make investment trade-offs, lead discovery, drive delivery, and establish measurable adoption and customer outcomes without direct authority.
Vacancy Status
  • This is an existing job vacancy
What you will do
  • Own the vision, strategy, roadmap, and measurable outcomes for major areas of the Maestro platform, from discovery through launch, adoption, and continuous improvement.
  • Define the platform primitives, APIs, SDKs, services, administration experiences, and extension patterns that enable internal teams, customers, partners, and AI agents to build safely and quickly.
  • Drive an agentic platform approach, including agent development and runtime needs.
  • Partner closely with Data Fabric teams to shape trusted, reusable data products and services.
  • Translate strategy into executable plans: lead customer discovery, define requirements and success criteria, establish a clear plan to solve complex problems.
  • Create a coherent platform experience across application services, embedded algorithms, developer tooling, administration, and data capabilities.
  • Engage enterprise customers and partners as a trusted product leader; validate needs, guide early adoption, and turn repeated use cases into durable platform capabilities.
  • Communicate crisp product narratives and decisions to executives, technical teams, and Go-to
    - Market stakeholders, and lead alignment across multiple product areas.
What we are looking for
  • 8+ years of product management experience, including ownership of complex enterprise SaaS, platform, developer, data, or cloud products.
  • Proven record of setting product strategy and personally driving execution across discovery, delivery, launch, and adoption.
  • Hands-on experience with AI tooling or AI-enabled systems, such as generative AI, agents, orchestration, model or prompt tooling, evaluations, observability, or AI governance.
  • Experience with modern data platforms or data fabric concepts, including data products, semantic layers or ontologies, metadata, lineage, data quality, access controls, and governance.
  • Ability to simplify complex systems, define reusable platform capabilities, and balance near‑term delivery with long‑term architecture and product leverage. Technical fluency with APIs, SDKs and common platform services to…
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