Senior Product Manager, AI Innovations Team

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take ownership of pricing and packaging for operations orchestration, which includes defining the unit of value, metering, tiers, subscriptions, and third-party cost pass-through.

• Develop and sustain the unit-economics model, incorporating tokens, compute, environmental sizing, partner cost pass-through, and engineering efforts.

• Collaborate with the Kinaxis Finance team to establish price floors and margin targets.

• Define requirements for metering and usage attribution, and coordinate with engineering to implement them.

• Assist Finance, Legal, and Sales in structuring the commercial terms of products.

• Monitor changes in model-price and capabilities, adjusting pricing, packaging, and roadmap accordingly.

• Define the product's go-to-market strategy.

• Support the creation of product enablement materials for sales, pre-sales, and engineers in the field.

• Represent the product in discussions with executive customers, system integrators, and connectivity partners.

• Manage commercial metrics such as conversion rates, development-to-production timelines, revenue per customer, and gross margin per solution.

• Define requirements for tenancy, environments, entitlements, usage metering, solution packaging, and governance controls.

• Utilize the platform, analyze run traces and evaluation results, participate in customer co-build sessions, and convert one-off requests into reusable platform capabilities.

• Communicate strategy, roadmap, progress, and risks to executive stakeholders.

• Evaluate and mitigate security, privacy, and compliance risks in collaboration with Security and Legal.

⛳️ Requirements

• A minimum of 7 years of experience in product management within enterprise SaaS or platform software, with a focus on pricing, packaging, or revenue accountability for a product.

• Proven experience in pricing a usage-based or consumption-based product, or a platform sold as capacity plus applications, along with the ability to build the unit-economics model supporting the price.

• Hands-on experience building with large language models within the past 12 months.

• Proficient in explaining agent tool selection, evaluation processes, token costs, latency, retrieval, knowledge graphs, and fine-tuning.

• Technical proficiency in APIs, authentication, single sign-on, multi-tenancy, event-driven systems, and data pipelines.

• Ability to use SQL or similar tools to define metrics, create funnels, or size markets.

• Experienced in bringing a B2B product to market, including launch, sales enablement, and direct collaboration with sales teams on active deals.

• Bachelor's degree in Computer Science, Engineering, Data Science, Operations, or a related field, or an equivalent level of experience.

• Willingness to travel up to 20% of the time.

• Domain expertise in supply chain, manufacturing, or operations, as well as familiarity with ERP, WMS, or PLM data models.

• Experience with enterprise build or data platforms.

• Experience working as or alongside forward-deployed or solutions engineers on customer projects.

• Familiarity with metering, billing, entitlements, or cloud marketplace channels.

• Experience with ontology or semantic modeling, knowledge graphs, or industry reference models such as SCOR.

• Background in selling to enterprises where security and compliance are essential.

🏝️ Benefits

• Flexible vacation policy along with Kinaxis Days (company-wide days off).

• Flexible work arrangements.

• Programs focused on physical and mental well-being.

• Regularly scheduled virtual fitness classes.

• Mentorship programs, training opportunities, and career development initiatives.

• Recognition programs and rewards for referrals.

• Participation in hackathons.