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Design and evolve a cloud-native, AI-infused platform that powers global supply-chain orchestration, balancing performance, scalability, and cost for thousands of enterprise users.
Principal Engineer leading the modernization of Wells Fargo’s Identity & Access Management platforms, designing zero-trust-aligned architectures and enterprise-scale identity analytics to automate access controls and risk intelligence.
Lead a team to ensure reliability and support readiness for Wells Fargo’s data products, using observability tools and SRE practices to drive operational excellence and incident resolution.
Build and operate production data pipelines and AI agent workflows on the Kinaxis Maestro Platform, integrating customer data sources and shipping agentic AI solutions for supply-chain orchestration.
Design and lead enterprise-grade customer-facing platforms (CRM, service, revenue ops) that align business goals with scalable, secure architectures, integrating AI/ML responsibly.
Design and lead enterprise-scale solutions for HR, finance, procurement, and supply-chain platforms, ensuring alignment with business goals and enterprise standards.
Build and operate Kinaxis’s cloud-native data platform using Databricks, Spark, and Delta Lake to power AI and analytics for global supply-chain customers.
Design and implement supply-chain software solutions for global enterprises, guiding customers through integration and configuration to unlock value from Kinaxis’s AI-powered platform.
Orchestrate large, multi-team supply-chain software implementations for global clients, aligning scope, timelines, and stakeholder needs using governance and risk-management practices.
Build and maintain the ML/OR platform that trains, deploys, and scales supply-chain optimization models in C++/Python, blending heuristics, optimization, and AI to help global brands plan faster and greener.
Designs and deploys AI-powered supply-chain orchestration solutions for high-tech/semiconductor clients, guiding product teams from early innovation through launch and scaling.
Design and lead AI-driven agentic systems and knowledge graphs for supply-chain planning, integrating enterprise data to enable faster, smarter decisions across global customers.
Build high-performance C++ algorithms and automated tests for a supply-chain orchestration platform used by global brands to make fast, data-driven planning decisions.
Global Engineering Sr. Manager Location: CHARLOTTE, NC, IRVING, TX, CHANDLER, AZ, WEST DES MOINES, IA Time Type: Full time Job Description About this Role: The Senior Manager of Global Engineering serves as the senior…
Manager, Data & Observability Platform Location: Remote, UNAVAILABLE, CA Employment Type: FULL_TIME About Kinaxis Are you looking to join an innovative, market-leading company where you can truly elevate your…
Oversee cybersecurity risk across cloud, product, third-party, and AI-enabled systems, aligning frameworks like FedRAMP and ISO 27001 to governance and reporting needs.
Build and optimize supply-chain algorithms in C++ and commercial solvers to power a cloud platform that moves global commerce in seconds.
Develop optimization algorithms in C++ to model and solve complex supply-chain planning problems using commercial solvers and in-memory data servers.
Build and deploy AI-driven supply-chain solutions for Fortune 500 customers, shipping LLM agents and data pipelines on Kinaxis’s platform while owning end-to-end customer outcomes.
Oversee a team managing physical security systems, policies, and compliance for a large financial institution, ensuring asset and personnel safety.
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