Director, Product Management, AI

Kinaxis Inc.•Remote,

3d•Hybrid

About The Position

Kinaxis is seeking a Director, Product Management – AI to define and drive the strategy, roadmap, and delivery of its AI-powered product portfolio. This role is responsible for shaping how AI—across machine learning, generative AI, and emerging agentic systems—is embedded into Kinaxis' platform and applications to deliver differentiated, scalable customer value. The Director will lead a team of Product Managers, partner deeply across engineering, Cloud, and GTM teams, and serve as a trusted advisor to executive leadership, guiding investment decisions, product direction, and go-to-market strategy for AI-enabled offerings. Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains and supporting the people who manage them with an AI-infused platform that provides full transparency and visibility across end-to-end supply chains.

Requirements

Bachelor’s degree in Business, Engineering, Computer Science, Data Science, or related field; advanced degree is an asset
10+ years of experience in Product Management in a global SaaS or technology organization, including ownership of complex product portfolios
5+ years of experience leading and developing teams of Product Managers responsible for multi- product portfolios
Industry-recognized expertise in AI-enabled products, including machine learning, generative AI, or intelligent systems
Strong understanding of AI/ML fundamentals and the productization of AI systems into customer-facing solutions
Proven ability to define and execute product strategy from discovery through commercialization and scale
Strong financial and business acumen, with experience influencing investment decisions and product prioritization
Exceptional relationship-building and influencing skills, with the ability to align diverse stakeholders toward common outcomes
Proven track record of delivering commercially successful, customer-facing AI products at scale
Experience leading highly complex, AI-driven product initiatives across the full lifecycle, impacting business performance and strategic direction
Deep understanding of AI product challenges, including experimentation, model lifecycle management, and performance trade-offs
Ability to translate complex AI capabilities into clear, compelling value propositions for customers, partners, and executives
Highly influential leader with a track record of gaining executive buy-in for long-term, AI-driven product strategies
Strong communication skills across technical and non-technical audiences, including storytelling for AI-based products
Demonstrated experience guiding responsible AI practices, including risk management, governance, and compliance considerations
Ability to travel up to 20%

Responsibilities

Define and evolve the long-term vision and strategy for AI-powered products and capabilities aligned to business priorities and customer outcomes
Ensure strategic alignment across product teams, setting direction and partnering closely with executive leadership to meet organizational and customer objectives
Define how customers experience, adopt, and derive value from AI capabilities across the platform and applications
Develop deep, trusted relationships with stakeholders and customers; gather insights to shape AI product direction and prioritize high-impact opportunities
Partner cross-functionally to build, deliver, and scale AI-powered products, ensuring successful development, launch, and commercialization
Define and track KPIs to measure AI product performance, model effectiveness, and business impact; use insights to drive continuous improvement
Own and drive a multi-horizon product roadmap across AI domains, including predictive models, generative AI, and agentic workflows
Lead, mentor, and scale a high-performing team of AI Product Managers, strengthening product practices and execution rigor across the organization
Identify and prioritize opportunities where AI can unlock meaningful differentiation, measurable impact, and scalable value
Drive commercialization strategy, including packaging, pricing, and phased rollout of AI-enabled products and features
Establish frameworks for responsible AI, including governance, risk mitigation (privacy, security, bias), and compliance
Engage directly with customers, partners, and executives to validate product direction and ensure AI solutions solve real-world challenges
Monitor market trends and competitive landscape to continuously refine AI strategy and investment priorities