Kinaxis is a global leader in supply chain management, committed to innovation and customer success. The Senior AI Product Manager will define and deliver AI-powered products that are critical to the organization, shaping product strategy and leading cross-functional teams to achieve business outcomes.
Responsibilities:
- In partnership with PM leaders, define and evolve a long‑term product vision and roadmap for AI‑powered products, platforms, or capabilities, aligned to business strategy and customer outcomes
- Effectively communicate AI product strategy, roadmap, progress, risks, and outcomes to executive audiences
- Identify and prioritize opportunities where AI can deliver meaningful differentiation, measurable impact, and scalable value
- Partner closely with AI, platform and application engineering teams to prioritize feature development, model improvements, experimentation, and technical debt
- Contribute to strategic planning, product portfolio decisions, commercialization, and go‑to‑market strategies for AI‑enabled offerings
- Lead controlled rollout of AI products through early innovation programs, and phased commercialization, incorporating usage data, feedback, and risk signals to refine autonomy, pricing, and packaging over time
- Translate business problems and user needs into AI‑specific product requirements
- Verify AI products provide all required functionalities to support customer and business workflows and success criteria, ensuring they reflect real‑world processes and decision trade‑offs
- Proactively assess and mitigate specific risks, including security, privacy and compliance
- Conduct in-depth market analyses and competitive research to identify opportunities and threats, and risks
- Leverage insight and analysis to effectively pivot and shape product strategy
- Build deep, trusted relationships with customers, partners, and senior internal stakeholders to inform strategic direction and validate product value
- Develop partner relationships where AI capabilities are trusted, ensuring quality, performance, and alignment with product standards
Requirements:
- Bachelor's degree in Business, Engineering, Computer Science, Data Science, Operations, Supply Chain, or related field
- MBA or relevant advanced degree is an asset
- 7–10 years of experience in Product Management within a complex, global SaaS or technology organization, with meaningful ownership of AI‑enabled products
- Strong product leadership experience across the full product lifecycle, from discovery and strategy to go-to-market (launch, scaling) and optimization
- Comfortable operating in ambiguous, fast‑evolving problem spaces; able to pivot based on learning, data, and business priorities
- Exceptional analytical, critical‑thinking, and problem‑solving skills
- Clear, confident communicator able to explain complex AI concepts and trade‑offs to senior and executive stakeholders
- Demonstrated experience managing AI‑centric products (machine learning, deep learning, NLP, intelligent automation, or generative AI)
- Experience or demonstrated leadership in AI Agents, agentic workflows, or autonomous decision systems, beyond single‑model or prediction‑only AI
- Strong knowledge of AI and machine learning fundamentals
- Proven ability to define success criteria across AI product engineering, user experience, and business impact
- Experience partnering with Services teams, AI and platform engineering, and design teams using agile product development practices
- Strong financial and business acumen, including experience influencing investment decisions, prioritization, and pricing or packaging strategy
- Highly influential leader with a track record of gaining senior stakeholder buy‑in for complex, long‑term product strategies
- Exceptional relationship‑building skills across technical and non‑technical audiences
- Willingness to travel up to 20%