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DatadogDatadog

Director, GTM Enablement Operations

Leads the GTM Enablement Operations center of excellence, building scalable operating models, governance, systems, analytics, and enterprise program processes. The role manages Operations and Systems & Analytics teams and drives AI adoption across enablement programs.

About the job

Responsibilities

Build the GTM Enablement & Business Value Operating Model

  • Design and evolve the operational foundation for GTM Enablement & Business Value.
  • Establish governance, planning processes, operational cadence, portfolio management, and delivery standards.

Build Technology Capabilities That Scale

  • Lead the Systems & Analytics organization responsible for enablement technology, learning systems, content management, reporting, analytics, automation, and AI-enabled workflows.
  • Evaluate, implement, and optimize technologies that improve productivity, learning, and business performance.

Build Operational Insight

  • Develop measurement frameworks for organizational health, capacity, program effectiveness, productivity, and business impact.
  • Deliver dashboards and reporting that improve planning, prioritization, and investment decisions.

Lead Enterprise Program Operations

  • Serve as the Operations Leader for major cross-functional initiatives, including Sales Kickoff (SKO), Technical Sales Kickoff (TSKO), enterprise launches, and strategic programs.
  • Build operational frameworks for planning, governing, and delivering complex initiatives across multiple organizations.

Advance AI & Technology Innovation

  • Identify opportunities for AI and emerging technologies to create organizational leverage.
  • Evaluate platforms, operationalize AI-enabled workflows, establish governance and best practices, and drive responsible adoption.

Build a High-Performing Organization

  • Lead and develop the Operations and Systems & Analytics teams.
  • Foster operational excellence, innovation, accountability, continuous improvement, and strong cross-functional partnerships.

Requirements

  • 10+ years leading Operations, Enablement Operations, Revenue Operations, Business Operations, Program Management, or similar functions in a high-growth SaaS organization.
  • Experience building operating models, governance frameworks, and scalable business processes.
  • Experience leading multiple operational disciplines, including operations, systems, analytics, business intelligence, or program management.
  • Experience selecting, implementing, and optimizing enterprise technologies for learning, enablement, collaboration, and operational excellence.
  • Strong understanding of Learning Management Systems (LMS), Content Management Systems (CMS), knowledge management platforms, workflow automation, business intelligence, and analytics platforms.
  • Experience evaluating and implementing AI-enabled technologies for learning, content development, coaching, analytics, and productivity.
  • Hands-on expertise with Claude, ChatGPT, and other large language models, including prompt engineering, governance, workflow design, and organizational adoption.
  • Experience leading enterprise-wide initiatives involving executive stakeholders and multiple cross-functional organizations.
  • Strong executive communication, organizational leadership, and stakeholder management skills.
  • Bachelor's degree required.

Nice-to-Haves

  • MBA or other advanced degree.
  • Experience supporting Sales, Technical Solutions, or Customer Success organizations.
  • Experience with Docebo, Gong, Asana, Tableau, or similar enterprise technologies.
  • Experience delivering Sales Kickoff, organizational transformation, technology implementation, or global enablement programs.
  • Experience introducing AI into business workflows and driving organizational adoption.

Compensation & Benefits

  • Estimated yearly salary: $203,000–$270,000 USD.
  • Generous and competitive benefits package.
  • New hire stock equity (RSUs) and employee stock purchase plan.
  • Continuous career development and pathing opportunities.
  • Employee-focused onboarding.
  • Internal mentor and cross-departmental buddy program.
  • Healthcare, dental, parental planning, mental health benefits, 401(k) plan and match, paid time off, fitness reimbursements, and discounted employee stock purchase plan.
  • Benefits may vary based on the country of employment and nature of employment.

Skills

Revenue Operations, Program Management, Business Intelligence, Analytics, Learning Management Systems, Content Management Systems, Workflow Automation, Artificial Intelligence, Prompt Engineering, LLMs, Claude, ChatGPT, Docebo, Gong, Asana

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