• Define, refine, and execute the long-term AI-first product vision and strategy for MEDvidi • Lead, coach, and manage the full product & engineering organisation across both product tracks • Set and maintain a high bar for product quality and execution speed across all teams • Facilitate quarterly strategy and OKR planning at the executive level • Resolve cross-functional blockers and identify opportunities through direct day-to-day engagement with teams • Continuously improve product & engineering culture and processes • Collaborate with other department heads and the CEO on company-level initiatives

Role Description The Senior Product Manager – Market Development & Enterprise Growth plays a pivotal role in translating market and customer insight into validated, scalable business opportunities. This position focuses on driving enterprise and short course growth through rigorous research, business case development, and cross-functional execution. - Combine rigorous market research and opportunity sizing with operational discipline to move ideas through validation, pilot, and into full commercial launch. - Maintain and prioritize a product backlog; collaborate with other teams for roadmap decisions. - Emphasize business and operational aspects of product management — from opportunity identification through validation, pilot execution, and market launch. - Expand McGraw Hill's presence in the higher education enterprise space through innovative offerings and institutional partnerships. This is a remote position open to applicants authorized to work for any employer within Canada. Qualifications - Bachelor's degree and 7+ years of product management experience in B2B/enterprise, edtech, or higher education markets; international experience strongly preferred. - Demonstrated success taking products from market research and validation through pilot and into full commercial launch. - Proven ability to develop partnership-driven business cases, define commercial models, and scale pilots across regions. - Experience collaborating with institutional partners, platforms, and third-party providers to deliver integrated solutions. - Strong analytical rigor with experience in experimentation frameworks, market research, and data-driven decision-making. - Excellent communication and stakeholder management skills across product, engineering, design, sales, marketing, and partnerships. - Experience working with academic institutions and understanding of non-degree and alternative learning markets. - Proven track record of successfully managing complex projects across multiple regions or competing interests. - Exceptional communication and interpersonal skills, with the ability to work effectively across cultures and time zones. - Strong problem-solving skills and the ability to navigate complex organizational environments. - Proficiency with CRM and pipeline tools (e.g., Salesforce) and analytics/BI tools (e.g., Tableau or similar). - Familiarity with learning platforms, LMS integrations, and credentialing technologies (e.g., digital badging, API-based data flows). - Ability to leverage data visualization and reporting to guide decisions and measure outcomes. - Skilled in agile and iterative methods and tools for product discovery, testing, and delivery. - Willingness to stay up to date with innovative technologies. - Office Software Proficiency: Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). - Proficiency with communication tools (e.g., Slack, Microsoft Teams). - Proficiency in using video conferencing tools (e.g., Zoom, Microsoft Teams, Google Meet). - Proficiency in using project management software (e.g., Jira, Asana, Trello). - Ability to create and manage documentation using tools like Confluence, or Microsoft Suite. - Basic knowledge of design tools (e.g., Figma, Adobe XD, Sketch). Requirements - Research, quantify, and prioritize enterprise and short course market opportunities across international regions. - Facilitate ongoing customer discovery with institutional buyers, learners, and enterprise stakeholders. - Lead go-to-market planning and execution for new offerings. - Design and run structured pilots and market-entry experiments. - Own the product development process from requirements definition through launch. - Define and maintain a product roadmap for enterprise and credential-based offerings. - Identify, develop, and support strategic institutional partnerships and enterprise credentialing initiatives. - Collaborate with the Innovation team to test early product concepts. - Prepare and present regular updates to senior leadership on pipeline status, pilot performance, and commercial outcomes. - Track sector-specific upskilling and credentialing frameworks. - Support internal enablement, including sales, marketing, and partner success materials. - Participate in strategic planning sessions focused on institutional engagement and workforce-aligned learning. Benefits - The pay range for this position is between $100,000 - $118,000 CAD annually. - An annual bonus plan may be provided as part of the compensation package. - A full range of medical and/or other benefits, depending on the position offered.

• Own the Device Intelligence product roadmap and drive quarterly planning, setting and communicating priorities across our strategic themes. • Define and maintain a prioritized product backlog with clear priority frameworks aligned to business value, customer KPIs, and engineering capacity. • Lead initiative definition through structured discovery cycles — scoping opportunities and progressing items from research through design to implementation. • Contribute to release planning and set delivery expectations across sprint and quarterly cadences with engineering and delivery leads. • Author detailed product requirements documents (PRDs), feature specifications, and acceptance criteria for DI capabilities. • Act as product owner across multiple engineering teams (Cloud, Firmware, Research, QA), providing direction and removing blockers to delivery. • Define and validate LLM-assisted and AI-augmented product workflows, including automated feature extraction pipelines and data labelling tooling.

The AI Product Manager owns the strategy and execution of HSI’s customer-facing AI solutions, including the underlying Model Context Platform (MCP) and supporting AI services. This role is responsible for delivering intelligent, context-aware product experiences powered by LLMs, automation, and data. The ideal candidate combines strong product management fundamentals with a practical understanding of AI systems and an AI-native approach to how products are built, leveraging AI to accelerate everything from ideation to delivery and iteration. Key Responsibilities AI Product Strategy & Ownership - Define and own the roadmap for a virtual assistant driven application interface, including conversational experiences, agent capabilities, and workflow automation - Lead the evolution of HSI’s MCP, including context management, memory, orchestration, and service integrations - Translate company strategy and customer needs into differentiated AI-driven product capabilities AI System Design & Delivery - Partner with engineering and data teams to design AI-powered features leveraging LLMs, RAG, and agent-based systems - Define product requirements including system behavior, prompts, guardrails, and evaluation criteria - Drive execution through agile development cycles, maintaining a well-prioritized backlog of features and experiments Model Performance & Continuous Improvement - Establish and monitor key AI performance metrics (e.g., accuracy, task success, latency, cost, hallucination rates) - Lead experimentation efforts to improve model outputs, workflows, and user experience - Partner with data teams to define feedback loops, data requirements, and opportunities for fine-tuning or optimization AI-Accelerated Product Management - Leverage AI tools to accelerate core PM workflows, including requirements documentation, backlog refinement, and internal communications - Rapidly prototype product concepts—especially conversational flows and AI interactions—to validate ideas early - Use AI to synthesize customer feedback, support data, and usage patterns into actionable insights - Continuously evaluate and adopt new AI tools to improve product development speed and decision-making Customer Insight & Cross-Functional Leadership - Conduct user research and analyze customer workflows to identify high-impact AI opportunities - Partner closely with engineering, UX, data science, and go-to-market teams to deliver cohesive solutions - Serve as an internal advocate and subject matter expert for AI-driven product capabilities