Product AI & Automation Lead

About Kinaxis

Are you looking to join an innovative, market-leading company where you can truly elevate your career? At Kinaxis we are serious about culture, we are serious about technology, we are serious about customers, and we are serious about not taking ourselves too seriously. If you are looking to be part of an incredible growth story, then we might just be the place for you!

In 1984, we started out as a team of three engineers. Today, we have grown to become a global organization with over 2000 employees around the world, 6 global office and a best-in-class HQ in Ottawa, Canada. As winners of several Top Employer awards globally, we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.

Location

Ottawa and Toronto, Canada - Hybrid

Other Canadian locations - Remote

About The Role

The Product AI & Automation Lead is responsible for transforming how the Product organization works. This role will identify opportunities to apply AI, automation, and modern tooling across Product workflows and turn them into scalable capabilities that improve speed, quality, decision-making, and organizational effectiveness.

Working within Product Operations & Excellence, you will partner with Product, IT, Security, Data, and R&D teams to redesign how Product work gets done. You will build and scale AI-enabled workflows, agents, automations, integrations, and operating practices that help Product teams spend less time on administrative work and more time creating customer value.

Success will be measured through tangible improvements in Product velocity, capacity, adoption, workflow efficiency, and quality of decision-making.

Vacancy Status: This is an existing job vacancy

What you will do

• Identify and prioritize high-value opportunities across discovery, customer insight, strategy, planning, requirements, execution, launch, reporting, and knowledge management.
• Create and deploy workflows, agents, automations, templates, and lightweight internal tools, taking solutions from concept through prototype, adoption, and scaled use.
• Connect and simplify the systems where Product work happens, and partner closely with IT / Security to enable the right permissions to get work done in AI tools like Microsoft 365 Copilot, and Claude Code.
• Create reusable patterns and trusted shared context so Product work, customer signals, decisions, and learnings are easier to find, update, and reuse by both people and AI systems.
• Analyze current ways of working and redesign workflows around AI-first, human-in-the-loop execution, rather than only automating existing steps.
• Partner with IT, Security, Legal, Data, and R&D to establish needs for access, data handling, and ensure the right guardrails exist to meet company policy.
• Evaluate new capabilities using clear build, buy, partner, security, cost, maintainability, and business-value criteria.
• Build practical playbooks, demonstrations, office hours, and communities of practice that move teams from personal AI productivity to shared workflows, agents, and automation.
• Define baselines, instrument solutions, and report outcomes such as cycle-time reduction, hours returned to teams, adoption and reuse, output quality, process consistency, and employee experience.

What success looks like

• A prioritized Product AI & Automation roadmap is tied to the organization’s highest-value opportunities and biggest sources of friction.
• Multiple end-to-end workflows are in regular use and show measurable improvements in speed, capacity, quality, or decision-making.
• Product teams have trusted shared context, reusable agents and automations, and clear patterns for safely creating and scaling new solutions.
• The Product tooling ecosystem is simpler and better connected, with clear ownership and a repeatable path from experiment to enterprise capability.
• AI fluency has increased across Product, and successful practices are embedded into everyday operating rhythms rather than remaining isolated experiments.

What we are looking for

• 7+ years of experience in Product Operations, Product Management, business systems, digital transformation, or a related discipline within a complex technology organization.
• A demonstrated record of turning ambiguous operating problems into shipped tooling, automation, or workflow improvements with measurable results.
• Hands-on fluency with generative AI, copilots, agents, workflow automation, APIs and integrations, structured data, and rapid prototyping. You can build credible proofs of concept without depending on a full engineering team.
• Strong product and systems judgment, including the ability to separate a compelling demonstration from a secure, supportable, scalable capability and make pragmatic trade-offs across speed, risk, cost, and maintainability.
• Excellent change leadership, facilitation, analytical, and executive communication skills, with the ability to influence across teams without direct authority.
• A builder’s mindset, curiosity about emerging technology, and the discipline to operationalize what works.

#Senior;

Work With Impact:

Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day, when we see store shelves stocked, when medications are available for our loved ones, and so much more.

Work with Fortune 500 Brands:

Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin, Unilever, P&G, ExxonMobil, Cisco and more.

Social Responsibility at Kinaxis:

Our Diversity, Equity, and Inclusion Committee weighs in on hiring practices, talent assessment training materials, and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and we’re committed to a long-term net-zero operations strategy. We are involved in our communities and support causes where we can make the most impact.

Perks and benefits

• Flexible vacation and Kinaxis Days (company-wide days off)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs, training, and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis website at or the company's blog at .

Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates, including those with specific needs or disabilities. If you require an accommodation, please reach out to us at . This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education, experience, and skills most closely match the requirements of the role. After the initial screening, all subsequent decisions regarding your application, including final selection, are made by our human recruitment team. AI does not make any final hiring decisions.