Senior Product Manager owning provider experience and clinical operations products at Maple, Canada’s on - demand healthcare platform. Driving scalable workflows and AI - enabled care delivery improvements.
About the role
- Principal Product Manager shaping Maestro, Kinaxis’s AI-powered supply chain orchestration platform. Defining platform capabilities, AI agents, APIs, data services, and enterprise adoption strategy.
Responsibilities
- 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
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