
1001 - 5000 Mitarbeiter
💼 Beratung
🏥 Gesundheitswesen
🏭 Fertigung
💰 €33.000.000 Venture Round im 2000-05
Consulting • Healthcare • Manufacturing
Kinaxis ist ein führender Anbieter von Supply-Chain-Orchestrierungslösungen und spezialisiert sich auf KI-gestützte Planung und Verwaltung von Lieferketten. Ihre Flaggschiff-Plattform Maestro ermöglicht es Unternehmen, Komplexität zu beherrschen und Entscheidungsprozesse über die gesamte Lieferkette hinweg zu optimieren. Durch die Integration fortschrittlicher Analytik mit Echtzeit-Daten sichtbarkeiten unterstützt Kinaxis Unternehmen dabei, die betriebliche Effizienz zu verbessern, die Nachfrage vorherzusagen und proaktiv auf Störungen zu reagieren.
🕒 vor 3 Tagen
🗣️🇺🇸🇬🇧 Englisch erforderlich
Woher diese Stelle stammt
Veröffentlicht auf der Karriereseite von Kinaxis, nicht über eine Jobbörse
Von Remote Rocketship zum ersten Mal gesehen vor 3 Tagen
Noch offen auf der Website von Kinaxis. Geprüft vor 1 Stunde.

1001 - 5000 Mitarbeiter
💼 Beratung
🏥 Gesundheitswesen
🏭 Fertigung
💰 €33.000.000 Venture Round im 2000-05
Consulting • Healthcare • Manufacturing
Kinaxis ist ein führender Anbieter von Supply-Chain-Orchestrierungslösungen und spezialisiert sich auf KI-gestützte Planung und Verwaltung von Lieferketten. Ihre Flaggschiff-Plattform Maestro ermöglicht es Unternehmen, Komplexität zu beherrschen und Entscheidungsprozesse über die gesamte Lieferkette hinweg zu optimieren. Durch die Integration fortschrittlicher Analytik mit Echtzeit-Daten sichtbarkeiten unterstützt Kinaxis Unternehmen dabei, die betriebliche Effizienz zu verbessern, die Nachfrage vorherzusagen und proaktiv auf Störungen zu reagieren.
• 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 covering tokens, compute, environment sizing, partner costs, and forward-deployed engineering effort • Set price floors and margin targets with the Kinaxis Finance team • Define metering and usage attribution requirements and work with Engineering to implement 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 for operations orchestration • Support product enablement materials for sales, pre-sales, and forward-deployed engineers • Represent the product in executive customer, systems integrator, and connectivity partner conversations • Own commercial metrics including conversion rate, development-to-production time, revenue per customer, and gross margin per solution • Own platform requirements for tenancy, environments, entitlements, usage metering, solution packaging, and governance controls • Use the platform, read 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 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 • 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, including calling a model API, building an agent that uses tools, writing evaluations, or shipping with an agentic coding tool • Ability to explain agent tool selection, release-gating evaluations, token cost and latency drivers, 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% • Preferred: domain experience in supply chain, manufacturing or operations, or ERP, WMS or PLM data models • Preferred: experience with enterprise build or data platforms • Preferred: experience working as or alongside forward-deployed or solutions engineers on customer builds • Preferred: experience with metering, billing, entitlements or cloud marketplace channels • Preferred: experience with ontology or semantic modeling, knowledge graphs, or industry reference models such as SCOR • Preferred: experience selling into enterprises where security and compliance are critical
• 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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