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Canada
Remote only
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Staff Technical Product Manager based in Canada.
In this senior technical product leadership role, you will own the roadmap for an enterprise integration and automation platform connecting critical business systems, financial applications, customer platforms, and data infrastructure. You will translate complex, evolving business needs into a clear, prioritized roadmap that supports operational scale, international expansion, and technology modernization. Working closely with business leaders, engineers, and enterprise architects, you will make informed decisions about APIs, integration patterns, and platform architecture. You will also help shape how AI agents and automation capabilities are integrated into enterprise workflows. This opportunity is ideal for an experienced platform product leader who combines technical depth with strategic thinking, stakeholder influence, and a passion for building scalable, reliable systems in a fast-growing technology environment.
Own and continuously prioritize the business technology services platform roadmap, translating evolving business needs into a structured backlog that supports scalability, international expansion, and ERP decoupling.
Consolidate demand across business technology services and integration automation platforms into a single, transparent intake and prioritization process.
Partner with senior stakeholders across Finance, Supply Chain, Member Experience, Commercial, and Corporate functions to understand requirements, clarify business objectives, and define actionable platform initiatives.
Own technical product decisions related to API contracts, versioning, and integration patterns, including platform-based versus custom development, synchronous versus event-driven integrations, and batch versus real-time processing.
Collaborate with Enterprise Architecture and senior integration engineers on complex system design, infrastructure decisions, and platform boundaries.
Develop and communicate a compelling platform strategy, explaining technical trade-offs, investment priorities, business value, and expected outcomes to executive and cross-functional audiences.
Align integration architecture with data infrastructure, including data lakehouse and data mesh capabilities, ensuring upstream integration decisions support downstream analytics and data products.
Define and evaluate requirements for Model Context Protocol (MCP) servers and AI agents supporting the business technology ecosystem, in collaboration with AI productivity teams.
Contribute to establishing and scaling an Integration and Automation Engineering team, partnering with leadership on team structure, hiring, and the transition from contractor-led delivery to a permanent team.
Requirements:
At least 10 years of experience in technical product management or platform management, including substantial ownership of infrastructure, integration, or API platforms rather than exclusively customer-facing products.
Strong technical proficiency, with the ability to write or critically review technical specifications, OpenAPI definitions, event schemas, and API contracts, as well as defend build-versus-buy and versioning decisions.
Working knowledge of core AWS services used in integration platforms, such as API Gateway, Lambda, EventBridge, Step Functions, and SQS/SNS, sufficient to evaluate architectural trade-offs and collaborate effectively with engineering teams.
Direct experience with integration platform-as-a-service (iPaaS) solutions such as Workato, MuleSoft, Boomi, or similar technologies.
Strong understanding of API design, versioning, contract management, and integration architecture.
Demonstrated ability to translate ambiguous business requests into clear, actionable, and technically feasible requirements.
Experience owning platform roadmaps that serve multiple internal teams, including managing competing priorities and consolidating demand across different stakeholders and backlogs.
Proven ability to negotiate priorities and trade-offs with senior stakeholders, including directors and executive-level leaders.
Excellent written and verbal communication skills, with the ability to explain technical decisions and their business implications to non-technical audiences.
Practical experience using large language model (LLM) assistants and AI-powered development tools, such as Claude, Cursor, Claude Code, or Lovable, for research, drafting, analysis, prototyping, and problem-solving.
Sound judgment when applying AI tools, including the ability to validate outputs and recognize situations where AI is not appropriate.
Nice to have:
Experience establishing or governing an AI control plane, MCP gateway, or agent observability and policy layer.
Experience with ERP integrations or modernization and decoupling initiatives involving NetSuite or similar systems.
Familiarity with data lakehouse and data mesh architectures, including Databricks, and an understanding of how integration design affects analytics and data products.
Experience transitioning a contractor-led function into a permanent platform engineering team.
Benefits:
Competitive base salary and equity compensation.
Health, dental, and vision insurance.
Mental health and wellness resources.
A personal smart ring and discounts for friends and family.
20 days of paid time off, 13 paid holidays, and 8 flexible wellness days.
Paid sick leave and parental leave.
Remote work flexibility.