Principal Technical Product Manager

What You'll Do Product Strategy & Ownership

• Own the end-to-end product strategy, vision, roadmap, and execution for one or more technical product lines.

• Lead products through the full lifecycle, from discovery and problem definition through development, launch, adoption, and continuous improvement.

• Translate business objectives, customer needs, and technical capabilities into clear product requirements, user stories, and prioritized backlogs.

• Define product goals, KPIs, and success metrics to measure adoption, performance, and business impact.

• Make informed prioritization decisions and balance business value, technical complexity, customer needs, and delivery timelines.

Technical Product Leadership

• Partner closely with engineering, architecture, data, and AI/ML teams to assess feasibility, sequence delivery, and resolve technical trade-offs.

• Maintain a strong understanding of underlying technical architecture, including cloud platforms, APIs, data platforms, integrations, and AI/ML systems.

• Participate in technical design discussions and confidently communicate with engineers and architects without requiring technical translation.

• Drive build-vs-buy decisions and help evaluate technologies, platforms, vendors, and technical approaches.

• Identify technical risks, dependencies, and opportunities early and work cross-functionally to address them.

Client & Stakeholder Leadership

• Serve as a senior product leader and primary product point of contact for Fortune 500 clients and stakeholders.

• Lead discovery sessions, product workshops, roadmap discussions, and executive presentations.

• Translate complex technical concepts into clear business outcomes for executive and non-technical stakeholders.

• Build alignment across clients, engineering teams, delivery teams, and internal leadership.

• Manage competing priorities, expectations, scope, and timelines across multiple stakeholders.

Delivery & Team Leadership

• Lead cross-functional product planning and delivery across distributed teams, including teams in Toronto and India.

• Partner with engineering leadership to establish realistic delivery plans and ensure products are delivered against agreed objectives.

• Remove roadblocks, manage dependencies, and maintain momentum in a fast-moving consulting and delivery environment.

• Mentor and support junior Product Managers and Product Analysts as the team grows.

• Establish and continuously improve product management practices, processes, and standards.

What You'll Bring • 8+ years of product management experience , including significant experience in technical, platform, data, or enterprise product management.

• Proven experience owning the strategy and roadmap for data-intensive, cloud-based, AI/ML, or technically complex products .

• Strong technical fluency with the ability to understand architecture diagrams, APIs, data contracts, integrations, and system dependencies.

• Demonstrated experience partnering directly with enterprise or Fortune 500 clients , preferably within a consulting, technology services, or product-services environment.

• Proven ability to take complex and ambiguous problems from discovery through production and measurable business outcomes.

• Strong understanding of modern software development and product delivery methodologies.

• Excellent communication and stakeholder management skills, with the ability to adapt between technical discussions with engineers and strategic conversations with executives.

• Experience leading products and roadmaps across distributed, cross-functional, and cross-time-zone teams.

• Strong analytical and problem-solving skills with a data-driven approach to prioritization and decision-making.

• A bias toward action and ownership, with the ability to make sound decisions in environments where requirements and priorities are constantly evolving.

• Ability to operate comfortably at both the strategic and execution levels .

Nice to Have • Experience with modern data platforms and technologies such as BigQuery, Snowflake, Databricks, or Apache Spark .

• Experience working with cloud platforms such as GCP, AWS, or Azure .

• Experience building or managing AI/LLM-powered products , including RAG, agentic workflows, or AI-powered automation.

• Background in data products, analytics platforms, enterprise SaaS, or digital transformation.

• Familiarity with APIs, microservices, event-driven architectures, and modern application platforms.

• Experience working with enterprise architecture, governance, compliance, security, or InfoSec review processes.

• Experience working with emerging AI technologies and frameworks, including MCP-style architectures.

Salary Range • $130,000 - $160,000 (CAD)