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. 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.

Kinaxis is a global leader in modern supply chain orchestration, powering complex global supply chains, and supporting the people who manage them. Our powerful, AI infused platform provides full transparency and visibility across end-to-end supply chains, enabling our customers to make faster, better decisions. With more than 40,000 users in over 100 countries, we are expanding our team as we continue to innovate and revolutionize how we support our customers.

Other

Canadian locations - Remote It suits a product manager who has built with large language models themselves and has been accountable for a pricing model or a revenue number. Own pricing and packaging for operations orchestration: the unit of value, what is metered, the tiers, per‑solution subscriptions, and how third‑party model and connector costs are passed through. Build and maintain the unit‑economics model from cost‑to‑serve upward: model tokens and compute per completed agent run, environment sizing, partner pass‑through, and forward‑deployed engineering effort per phase.

Support

Finance, Legal and Sales team structure commercial product terms: conversion terms to production, and partner and reseller terms. Track how changes in model price and capability move cost‑to‑serve, and adjust pricing, packaging and roadmap accordingly. Support the creation of the product enablement material that sales, pre‑sales and forward‑deployed engineers use Represent the product in executive conversations with customers, with system integrators and connectivity partners.

Own the commercial metrics: conversion rate, time from dev to production, revenue per customer, and gross margin per solution.



Own the requirements for capabilities such as tenancy and environments, entitlements, usage metering, solution packaging, and the governance controls customers buy on.

Work inside the build: use the platform, read run traces and evaluation results, join customer co‑build sessions with forward‑deployed engineers, and turn repeated one‑off requests into reusable platform capability. Communicate strategy, roadmap, progress and risks to executive audiences. Assess and mitigate security, privacy and compliance risk with Security and Legal. 7+ years of product management in enterprise SaaS or platform software, including accountability for a product's pricing, packaging or revenue number.

Have priced a usage‑based or consumption‑based product, or a platform sold as capacity plus applications, and built the unit‑economics model behind the price. Have built with large language models yourself in the last 12 months: called a model API, built an agent that uses tools, written evaluations, or shipped with an agentic coding tool. APIs, authentication and single sign‑on, multi‑tenancy, event‑driven systems and data pipelines.

Pull your own data with SQL or an equivalent, to define a metric, build a funnel or size a market. Bachelor's degree in Computer Science, Engineering, Data Science, Operations or a related field, or equivalent experience. An MBA or advanced degree is an asset.

Willing to travel up to 20%. Domain experience in supply chain, manufacturing or operations (planning, S&OP;, procurement, logistics), or with ERP, WMS or PLM data models.

Experience with enterprise build or data platforms Worked as, or alongside, forward‑deployed or solutions engineers on customer builds. Worked on metering, billing,



entitlements or cloud marketplace channels. Sold into enterprises where security and compliance (SOC 2, ISO 27001, data residency) are critical You can sit with an engineer on Monday reviewing an evaluation failure and with a customer CFO on Tuesday defending the price.

Your AI experience is managing a machine‑learning feature roadmap through a data science team, without having built with models yourself. SeniorWork 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.

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.

Adaptable vacation and Kinaxis Days (company‑wide days off) Flexible work options Regularly scheduled virtual fitness classes Mentorship programs, training, and career development 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. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the to identify candidates whose education, experience, and skills most closely match the requirements of the role.

AI does not make any final hiring decisions. #

📌 Senior Product Manager, Ai Innovations Team, Operations Orchestration (Winnipeg)
🏢 Kinaxis
📍 Winnipeg