Staff Product Manager (Agentic)

Accountabilities

• • Define and own the product vision, strategy, roadmap, and success metrics for the assigned agentic product area, translating business objectives and market opportunities into a clear path from early validation to scaled adoption.
  • Lead product discovery by validating customer problems, proposed solutions, willingness to pay, and success criteria before significant investment, using real-world feedback and measurable evidence to guide decisions.
  • Partner closely with engineering, design, and AI/ML teams to build and launch agentic B2B SaaS experiences, maintaining strong alignment while making informed decisions around model selection, orchestration, reliability, latency, context, and other technical trade-offs.
  • Establish a compelling approach to agentic experiences, including when AI should operate autonomously and when human intervention, approval, or control is required to build trust and deliver reliable outcomes.
  • Drive the product lifecycle from concept and experimentation through launch, product-market fit, adoption, and scale, remaining accountable for customer and business outcomes beyond the initial release.
  • Navigate the introduction of a new AI-driven product paradigm alongside an established platform, considering customer migration, adoption barriers, potential cannibalization, and long-term product strategy.
  • Develop a deep understanding of proposal and response workflows, including RFPs, security questionnaires, and DDQs, and engage directly with customers and prospects to identify opportunities and validate product direction.
  • Monitor the competitive and market landscape for agentic automation and translate emerging trends into actionable product opportunities.
  • Build alignment and enthusiasm across executives, cross-functional stakeholders, customers, and delivery teams by communicating product vision, progress, priorities, and performance metrics clearly.
  • Operate as an internal thought leader on agentic product design, product discovery, prioritization, experimentation, and responsible AI adoption.
  • Use AI tools extensively across research, prototyping, product specifications, artifact creation, and other aspects of the product management lifecycle.
  • Identify opportunities independently, rally the right people around them, and maintain a strong bias toward shipping, learning, and measurable results.

  Requirements

  • Proven track record of building and launching new products, achieving product-market fit, and driving meaningful adoption, preferably within or alongside an established product.
  • Direct experience developing agentic or AI-powered experiences in a B2B SaaS environment; experience with enterprise workflows, sales technology, or proposal/RFP automation is an advantage.
  • Strong working knowledge of LLMs, agent orchestration, RAG pipelines, model selection, context windows, latency, reliability, and the broader trade-offs involved in AI-powered product development.
  • Ability to act as a credible technical partner to engineering and AI/ML teams without needing to write production code.
  • Strong product judgment and an ability to identify what matters most to users while translating capabilities into intuitive, valuable, and engaging experiences.
  • Excellent product discovery, prioritization, and execution skills, particularly in ambiguous or early-stage environments where the path forward is not yet defined.
  • Highly metrics-driven, with the ability to establish measurable success criteria before development and evaluate performance and adoption after launch.
  • Strong customer orientation and experience conducting direct discovery with customers and prospects to validate problems, solutions, and outcomes.
  • Excellent communication, influencing, and stakeholder-management skills, with the ability to create alignment around new or unproven product directions.
  • Highly autonomous and entrepreneurial, with the initiative to identify opportunities and determine what needs to happen next without relying on a predefined roadmap.
  • Comfortable operating in conditions of uncertainty and change, with a strong bias toward experimentation, learning, and execution.
  • Strong ability to use AI tools for research, prototyping, product documentation, specification development, and other PM activities.
  • The role does not require a specific number of years of experience; demonstrated impact, relevant expertise, and a strong product-building track record are the primary considerations.

  Benefits

  • Competitive compensation: Base salary of approximately CA$145,400–CA$193,800, with eligibility for bonus and equity.
  • Remote-first flexibility: Work remotely within the supported Canadian regions, with collaboration across North America, the UK, and India.
  • Flexible coworking options: Access to coworking spaces in Toronto and Vancouver for employees who prefer an office environment.
  • Health and wellness: Comprehensive health and wellness benefits designed to support physical and mental well-being from day one.
  • Professional development: Dedicated professional mastery funding to support learning, skill development, experimentation, and career growth.
  • Work-from-home support: MacBook laptop, monthly phone and internet subsidy, and a work-from-home budget.
  • Performance and development support: Regular one-to-one meetings, ongoing feedback, and structured performance conversations.
  • Inclusive community: Employee Resource Groups, town halls, AMAs, celebrations, and opportunities to build connections in a remote-first environment.
  • Career impact: Opportunity to make a significant contribution to an evolving AI and product strategy while working in a collaborative, globally distributed environment.
  • Inclusive workplace: Commitment to equitable hiring, diversity, inclusion, accessibility, and creating an environment where people from all backgrounds can thrive.