Senior Product Manager, AI Innovations Team
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Job Description
Senior Product Manager owning pricing, packaging and go-to-market for Kinaxis AI operations orchestration. Building platform monetization and usage metering for global supply-chain customers.
Responsibilities:
- Own pricing and packaging for operations orchestration, including unit of value, metering, tiers, subscriptions and third-party cost pass-through
- Build and maintain the unit-economics model, including tokens, compute, environment sizing, partner pass-through and engineering effort
- Set price floors and margin targets with the Kinaxis Finance team
- Define metering and usage attribution requirements and work with engineering to build them
- Support Finance, Legal and Sales in structuring commercial product terms
- Track model-price and capability changes and adjust pricing, packaging and roadmap
- Define the product go-to-market motion
- Support product enablement materials for sales, pre-sales and forward-deployed engineers
- Represent the product in executive customer, system integrator and connectivity partner conversations
- Own commercial metrics including conversion rate, development-to-production time, revenue per customer and gross margin per solution
- Own requirements for tenancy, environments, entitlements, usage metering, solution packaging and governance controls
- Use the platform, inspect run traces and evaluation results, join customer co-build sessions and turn one-off requests into reusable platform capabilities
- Communicate strategy, roadmap, progress and risks to executive audiences
- Assess and mitigate security, privacy and compliance risks with Security and Legal
Requirements:
- 7+ years of product management in enterprise SaaS or platform software, including accountability for a product's pricing, packaging or revenue number
- Experience pricing a usage-based or consumption-based product, or a platform sold as capacity plus applications, and building the unit-economics model behind the price
- Built with large language models yourself in the last 12 months
- Ability to explain agent tool selection, evaluation gating, token cost, latency, retrieval, knowledge graphs and fine-tuning
- Technical fluency in APIs, authentication, single sign-on, multi-tenancy, event-driven systems and data pipelines
- Ability to use SQL or an equivalent to define metrics, build funnels or size markets
- Experience taking a B2B product to market, including 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
- Willingness to travel up to 20%
- Domain experience in supply chain, manufacturing or operations, or 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 builds
- Experience with metering, billing, entitlements or cloud marketplace channels
- Experience with ontology or semantic modeling, knowledge graphs, or industry reference models such as SCOR
- Experience selling into enterprises where security and compliance are critical
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
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