Principal Product Manager, Platform

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of the vision, strategy, roadmap, and measurable outcomes for key areas of the Maestro platform, overseeing the entire process from discovery to launch, adoption, and ongoing enhancement.

• Define the fundamental components of the platform, including APIs, SDKs, services, administration experiences, and extension patterns for internal teams, customers, partners, and AI agents.

• Drive an agent-oriented approach for the platform, encompassing agent development and runtime requirements.

• Collaborate with Data Fabric teams to design reliable and reusable data products and services.

• Lead customer discovery initiatives, establish requirements and success metrics, and devise plans to address complex challenges.

• Create a unified platform experience that integrates application services, embedded algorithms, developer tools, administration, and data functionalities.

• Engage with enterprise customers and partners to confirm needs, facilitate early adoption, and transform recurring use cases into sustainable platform capabilities.

• Articulate product narratives and decisions to executives, technical teams, and go-to-market stakeholders.

• Foster alignment across multiple product domains.

⛳️ Requirements

• 8+ years of experience in product management, with a focus on complex enterprise SaaS, platform, developer, data, or cloud products.

• Demonstrated ability to establish product strategy and lead execution through discovery, delivery, launch, and adoption phases.

• Hands-on experience with AI tools or AI-enabled systems, including generative AI, agents, orchestration, model or prompt tooling, evaluations, observability, or AI governance.

• Familiarity with modern data platforms or data fabric concepts, covering data products, semantic layers or ontologies, metadata, lineage, data quality, access controls, and governance.

• Capability to simplify intricate systems, define reusable platform features, and balance immediate delivery with long-term architecture and product leverage.

• Technical proficiency with APIs, SDKs, and standard platform services.

• Strong judgment, analytical skills, and communication abilities, with a proven capacity to influence senior stakeholders and navigate ambiguity.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.

• Preferred: experience in developing enterprise agent platforms, AI developer tools, copilots, or workflow automation solutions.

• Preferred: experience with semantic models, knowledge graphs, ontologies, master data, or federated data access.

• Preferred: experience in building platform capabilities for regulated or security-focused enterprise clients.

• Preferred: experience with optimization, planning, scheduling, forecasting, or other computation-heavy systems.

• Preferred: experience operating within AWS, Azure, or GCP and addressing multi-cloud product requirements.

• Preferred: familiarity with platform economics and developing business cases.

🏝️ Benefits

• Flexible vacation and Kinaxis Days (company-wide days off).

• Flexible work arrangements.

• Programs for physical and mental well-being.

• Regularly scheduled virtual fitness classes.

• Mentorship programs, training, and opportunities for career growth.

• Recognition programs and referral incentives.

• Hackathons.