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.
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. We are trusted by renowned global brands to provide the agility and predictability needed to navigate today’s volatility and disruption. 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.
Location
Ottawa and Toronto, CA - Hybrid
Other Canadian locations - Remote
About the role
This role owns how Kinaxis prices, packages and sells operations orchestration, and works inside the product closely enough to make those calls from first-hand knowledge of how it is built and what it costs to run. 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.
Vacancy Status
This is an existing job vacancy
What you will do
Monetization
- 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. Set price floors and margin targets from it working with Kinaxis Finance team.
- Define the metering and usage attribution the platform must emit (per tenant, per solution, per agent run) and work with engineering to build it.
- 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.
Go-to-market
- Define the product go-to-market motion for operations orchestration
- 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. Make sure the instrumentation exists to report them.
Platform product
- 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.
What we are looking for
- 7+ years of product management in enterprise SaaS or platform software, including accountability for a product's pricing, packaging or revenue number. You were the person who owned the outcome.
- 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. You can show what you built.
- Can explain, without preparation, how an agent decides which tool to call, why evaluations gate a release, what drives token cost and latency, and where retrieval, knowledge graphs and fine-tuning each apply.
- Technically fluent in enterprise platforms: APIs, authentication and single sign-on, multi-tenancy, event-driven systems and data pipelines. You read an API specification or an architecture document and make calls on it with engineers.
- Pull your own data with SQL or an equivalent, to define a metric, build a funnel or size a market.
- Have taken a B2B product to market: launch, sales enablement, and direct work with sales teams on live deals.
- 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%.
Preferred Qualifications
- 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.
- Experience with ontology or semantic modeling, knowledge graphs, or industry reference models such as SCOR.
- Sold into enterprises where security and compliance (SOC 2, ISO 27001, data residency) are critical
Is this role for you
You are likely a fit if
- You want to own the pricing model and the number it produces.
- You build a prototype to answer a question before you write the specification.
- You can sit with an engineer on Monday reviewing an evaluation failure and with a customer CFO on Tuesday defending the price.
This role is not a fit if
- Your AI experience is managing a machine-learning feature roadmap through a data science team, without having built with models yourself.
- Your monetization experience is executing a price list someone else set, or is limited to per-seat licensing.
- You are looking for a mature product with an established go-to-market and a large team.
- You prefer to stay at the level of strategy.
#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.
People matter at Kinaxis and here are some of the perks and benefits we offer, which may vary by location and employee:
- 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 www.kinaxis.com or the company’s blog at http://blog.kinaxis.com.
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 [email protected]. 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.
