Principal Product Manager, Platform

🕒 September 3

🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

✅ Product Manager

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kinaxis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

🏥 Healthcare

🏭 Manufacturing

💰 $33M Venture Round on 2000-05

Consulting • Healthcare • Manufacturing

Kinaxis is a leading provider of supply chain orchestration solutions, specializing in AI-infused supply chain planning and management. Their flagship platform, Maestro, enables organizations to master complexity and optimize decision-making processes across the entire supply chain. By integrating advanced analytics with real-time data visibility, Kinaxis helps businesses improve operational efficiency, predict demand, and respond proactively to disruptions.

📋 Description

• Own the vision, strategy, roadmap, and measurable outcomes for major areas of the Maestro platform from discovery through launch, adoption, and continuous improvement • Define platform primitives, APIs, SDKs, services, administration experiences, and extension patterns for internal teams, customers, partners, and AI agents • Drive an agentic platform approach, including agent development and runtime needs • Partner with Data Fabric teams to shape trusted, reusable data products and services • Lead customer discovery, define requirements and success criteria, and establish plans 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 to validate needs, guide early adoption, and turn repeated use cases into durable platform capabilities • Communicate product narratives and decisions to executives, technical teams, and go-to-market stakeholders • Lead alignment across multiple product areas

🎯 Requirements

• 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 • Excellent judgment, analytical rigor, and communication skills, with demonstrated ability to influence senior stakeholders and lead through ambiguity • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience • Preferred: experience building enterprise agent platforms, AI developer tooling, copilots, or workflow automation • Preferred: experience with semantic models, knowledge graphs, ontologies, master data, or federated data access • Preferred: experience building platform capabilities for regulated or security-conscious enterprise customers • Preferred: experience with optimization, planning, scheduling, forecasting, or other computation-intensive systems • Preferred: experience operating across AWS, Azure, or GCP and supporting multi-cloud product requirements • Preferred: working knowledge of platform economics and business case development

🏖️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off) • Flexible work options • Physical and mental well-being programs • Regularly scheduled virtual fitness classes • Mentorship programs, training, and career development • Recognition programs and referral rewards • Hackathons