Senior Director of Sales & Revenue - AI & Gtm Technology

Okta Okta · Enterprise · United States · BT Go To Market Technology-173

This role is for a Senior Director of Sales & Revenue focused on transforming Go-To-Market systems by embedding AI and automation. The primary focus is on building intelligent, AI-powered systems to improve sales, revenue operations, pricing, and partner ecosystems, rather than directly building AI models or core AI infrastructure. The role is product-focused, aiming to deliver AI-enhanced internal tools and processes to drive growth and efficiency within the enterprise sales and revenue lifecycle.

What you'd actually do

  1. AI-Driven GTM Transformation: Lead the shift to an AI-first GTM model by embedding intelligence across forecasting, pipeline management, pricing, renewals, and partner motions.
  2. Sales & Revenue Systems Strategy: Define and execute a modern, scalable systems roadmap across Salesforce, CPQ, Clari, partner ecosystems, and data platforms.
  3. Revenue Lifecycle & Process Excellence: Own and optimize the full revenue lifecycle (lead → opportunity → deal → renewal → expansion), ensuring alignment across pricing, quoting, forecasting, and commissions.
  4. Pricing, Commissions & Revenue Operations: Drive accuracy, transparency, and scalability across pricing, packaging, and commissions through system and process innovation.
  5. Partner & Digital Buying Ecosystems: Build next-generation partner and digital buying capabilities, enabling co-sell, self-serve, and data-driven GTM motions.

Skills

Required

  • 18+ years leading global Sales, Revenue Operations, or Business Technology functions within high-growth SaaS or enterprise technology environments.
  • Proven architect of large-scale digital transformations, pioneering the integration of AI and automation to redefine GTM motions.
  • Deep mastery of the enterprise ecosystem (Salesforce, CPQ, Clari) and the data/integration architectures required to connect partner ecosystems with internal revenue engines.
  • Sophisticated understanding of the modern revenue lifecycle, including complex enterprise sales cycles, renewal optimization, value-based pricing, and partner-led scale.
  • Demonstrated success delivering quantifiable business value through strategic deployment of AI (e.g., accelerated revenue velocity, productivity gains).
  • A "product-led" approach to internal systems, prioritizing scalable architecture, elegant user experiences, and robust systems thinking.
  • Exceptional presence and "bilingual" communication skills—bridging technical complexity and boardroom strategy to align C-suite stakeholders.
  • Bachelor's degree required

Nice to have

  • MBA or equivalent advanced leadership degree highly preferred

What the JD emphasized

  • AI-powered systems
  • AI-driven GTM transformation
  • strategic deployment of AI