AI PRODUCT MANAGER

AI Product Manager - Montreal, QC

Job no: 532277 - A

Brand: Product and Technology

Work type: Full time

Location: Quebec

Categories: Digital and Technology

AI Product Manager

Flight Centre Travel Group (FCTG) is one of the world’s largest travel retailers and corporate travel managers. The company, which is headquartered in Brisbane, Australia has company-owned leisure and corporate travel business in 23 countries, spanning Australia, New Zealand, the Americas, Europe, the United Kingdom, South Africa, the United Arab Emirates and Asia. FCTG also operates a global corporate travel management network, which extends to more than 90 countries through company-owned businesses and independent licensees. The company opened its first leisure travel shop in Sydney, Australia in 1982 and listed on the Australian Securities Exchange in 1995. Our purpose is to “open up the world for those who want to see”. Every day, we give people all around the world the opportunity to experience something really amazing – travel

About The Opportunity

We're opening up Sam and Mel. As Product Manager for the headless initiative, you'll own the strategy for exposing our agentic assistants' booking, servicing, proactive, and profile capabilities to other agents, platforms, and customer environments through protocols such as MCP, A2A, and ACP.

This is a unique platform product management opportunity where you'll build products consumed by developers, partners, and autonomous agents rather than a single end-user interface. You'll work closely with Forward Deployed Engineering, design, commercial teams, and enterprise customers to shape how our agent capabilities are discovered, adopted, and integrated. If you're excited by emerging AI ecosystems, platform strategy, and solving real-world integration challenges, this role offers the chance to define a rapidly evolving product space.

Key Responsibilities

• Own the product strategy and roadmap for the headless versions of Sam and Mel, aligning priorities with the broader ASI portfolio and commercial goals.
• Define which agent capabilities are exposed, through which protocols (MCP, A2A, ACP), and in what sequence.
• Balance interoperability, openness, safety, and product differentiation in the evolution of our agent platform.
• Partner with enterprise and pilot customers to understand integration needs and translate them into clear product requirements.
• Lead product discovery activities to ensure strong problem definition before engineering commitment.
• Create, prioritize, and manage epics, stories, and acceptance criteria for protocol wrappers, adapters, and API surfaces.
• Own and continuously prioritize the product backlog based on customer, market, and business priorities.
• Manage planning and delivery workflows using ProductBoard, Shortcut, Jira, or similar tools.
• Validate completed work against acceptance criteria prior to release.
• Collaborate with Forward Deployed Engineering, design, product marketing, and commercial teams to deliver production-ready integrations.
• Develop the partner and developer adoption strategy for agent capabilities.
• Communicate roadmap priorities, trade-offs, risks, and progress to leadership and key stakeholders.
• Partner with engineering to define access models, governance frameworks, and capability permissions.
• Ensure security, access controls, and governance considerations are incorporated into product requirements.
• Use data, experimentation, and customer feedback to inform decisions and validate product direction.
• Work effectively across international teams and time zones in a fast-moving, evolving environment.
• Contribute to a safe, inclusive, and accessible work environment where all Flighties feel welcomed, respected, and supported to thrive.
• Other duties and tasks as assigned

Experience & Qualifications

• 5+ years of product management experience delivering SaaS, platform, API, or integration products.
• Strong experience building products consumed by developers, partners, or other technology platforms.
• Understanding of AI and LLM application patterns including agents, orchestration, and tool calling.
• Familiarity with MCP, A2A, and ACP concepts and emerging agent interoperability standards is highly desirable.
• Strong customer discovery, user research, and problem-framing skills.
• Proven ability to make data-informed product decisions and validate assumptions through experimentation.
• Experience managing backlogs, roadmaps, epics, user stories, and acceptance criteria.
• Comfortable engaging directly with customers, partners, and technical stakeholders. <