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Coupa Software

Cloud-based spend management and procurement platform

Sr Director - AI Delivery

Engineering LeadershipUpdated on Nov 13
Full-timeMexico City, CDMX, MexicoNo salary listedRemote

About the Job

Requirements

  • 12–15+ years of experience leading enterprise technology organizations.
  • 7+ years of experience managing engineering, enterprise application delivery, or data insights teams.
  • Experience delivering artificial intelligence, machine learning, or intelligent automation solutions at enterprise scale.
  • Deep understanding of enterprise application ecosystems, including customer relationship management, enterprise resource planning, human resources, finance, and collaboration platforms.
  • Experience with large language models, retrieval-augmented generation architectures, agent frameworks, Model Context Protocol, application programming interface integrations, orchestration frameworks, and enterprise artificial intelligence platforms.
  • Experience building and leading global engineering organizations.
  • Strong executive communication and stakeholder management skills.
  • Experience managing strategic vendors and systems integrators.
  • Demonstrated success leading large transformation programs.

Responsibilities

  • Lead the enterprise AI Delivery Engineering organization.
  • Build and scale a high-performing team of AI Engineers, AI Solution Architects, and AI Operations staff.
  • Establish delivery standards, engineering practices, and operating models for AI solution development.
  • Own execution across multiple concurrent AI programs and business domains.
  • Lead delivery of enterprise AI solutions, including AI agents, agentic workflows, AI-powered business automations, conversational AI, knowledge assistants, retrieval-augmented generation solutions, and multi-agent orchestration.
  • Ensure AI solutions are secure, scalable, maintainable, and reusable.
  • Establish engineering standards for prompt engineering, agent development, tool integration, Model Context Protocol implementation, application programming interface integrations, AI workflow orchestration, code quality, reusable frameworks, and secure development practices.
  • Drive adoption of reusable AI components and engineering accelerators.
  • Own delivery execution across the AI portfolio, including capacity planning, prioritization, roadmaps, resource allocation, milestone management, executive reporting, risk management, and delivery metrics.
  • Ensure predictable execution across multiple AI initiatives.
  • Establish operational excellence for production AI systems by overseeing production monitoring, agent health, incident management, performance optimization, model performance, prompt optimization, cost optimization, and AI observability.
  • Drive continuous improvement after deployment.
  • Create and manage the AI Governance council, partnering with Security and Compliance teams to ensure responsible AI practices, security reviews, privacy compliance, human-in-the-loop controls, auditability, model governance, risk assessments, and regulatory compliance.
  • Ensure governance is embedded throughout the delivery lifecycle.
  • Partner with AI Strategy, Enterprise Architecture, Business Systems, Data and Analytics, Security, Business Product Owners, Legal, Procurement, and vendor partners to align technology delivery with business priorities.
  • Manage delivery budgets and strategic partners by overseeing vendor performance, managing delivery costs, driving AI platform optimization, tracking consumption and FinOps metrics, measuring return on investment, and optimizing engineering capacity.
  • Build an AI delivery organization through talent development, workforce planning, coaching and mentoring, organizational design, hiring, performance management, and engineering culture.

Desired Qualifications

  • Experience with Google Gemini, Vertex AI, Apigee, and Anthropic Claude ecosystems.
  • Experience integrating AI into enterprise platforms such as Salesforce, NetSuite, Zuora, or similar platforms.
  • Knowledge of responsible AI, AI governance, and enterprise security.
  • Experience implementing AI observability, AI testing, and operational monitoring frameworks.
  • Familiarity with cloud-native architectures, DevOps, continuous integration and continuous delivery, and modern software engineering practices.

About the Company

Coupa Software

Cloud-based spend management and procurement platform

Coupa Software provides a cloud-based spend-management platform that covers procurement, invoicing, and expense management. It works as a subscription SaaS, running in the cloud and integrating key spend processes into one interface with standardized workflows and real-time visibility. This single platform reduces the need for multiple tools by offering unified procurement, invoicing, and expense management with supplier catalogs and approvals. Its goal is to help organizations improve financial efficiency and cost control by streamlining spend processes and increasing visibility for decision-making.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Mateo, CA
Founded
2006

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