Staff Product Manager (Agentic)
Summary
Staff Product Manager leading an agentic AI product initiative to automate complex proposal workflows in a B2B SaaS environment, working with LLMs, RAG pipelines, and agent orchestration from discovery through scaled adoption.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager (Agentic) based in Canada.
This is a high-impact product leadership opportunity focused on shaping the next generation of AI-powered B2B SaaS experiences.
You will own the vision, strategy, and execution of an agentic product initiative designed to automate complex proposal workflows.
The role combines product discovery, AI innovation, customer research, and commercial strategy from early validation through scaled adoption.
You’ll work closely with engineering, design, AI/ML, customers, and senior stakeholders in a highly autonomous environment.
A key challenge will be balancing intelligent automation with customer trust, human oversight, reliability, and adoption.
You’ll have the opportunity to establish a new product paradigm while working alongside an established, high-usage platform.
This role is ideal for an entrepreneurial product leader who thrives on ambiguity, measurable outcomes, rapid experimentation, and building products that genuinely change how customers work.
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.
- 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.
- 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.
Requirements
Benefits
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
As published by lever
Resume/CV, Full name, Email, Phone, Current location, Current company