OK

AI Journey Operations Manager

okta· 36 open roles

Location TBD On-siteFull-time1 weeks ago
Salary
$136,000 - $187,000
Experience
Mid
Job Type
Full-time
Posted
1 weeks ago
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About This RoleAI processing…

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Key Responsibilities

  • 1
    Define how AI xDR performance will be measured across qualified engagement, human acceptance, meetings, opportunity creation, pipeline progression, and other agreed funnel outcomes.
  • 2
    Connect AI xDR to revenue outcomes Define how AI xDR performance will be measured across qualified engagement, human acceptance, meetings, opportunity creation, pipeline progression, and other agreed funnel outcomes.

Requirements

  • Define qualification frameworks for AI-assisted engagement across priority inbound, account-based, product-led, customer, and signal-triggered motions.
  • Establish the fit, behavior, intent, engagement, and business-context criteria used to determine whether a lead or account should be engaged, progressed, routed, recycled, or suppressed.
  • Partner with Revenue Operations, xDR leadership, Sales Operations, and Marketing to align AI qualification logic with lifecycle definitions and Sales acceptance requirements.
  • Establish governance for qualification-model changes, exceptions, and regional or segment-specific variations.
  • 7+ years of experience in B2B demand generation, revenue operations, Sales operations, xDR operations, marketing operations, growth operations, or a related GTM operations discipline.
  • Experience with AI SDR or AI xDR platforms, conversational marketing, automated qualification, or agent-assisted engagement.
  • Demonstrated experience designing or operationalizing AI-assisted, automated, or rules-based qualification and engagement workflows in a B2B GTM environment. This may include AI SDR/xDR, conversational marketing, automated lead qualification, intelligent routing, next-best-action workflows, or comparable AI-enabled buyer engagement models.
  • Strong understanding of how Marketing, xDR, and Sales processes connect to opportunity creation and pipeline progression.
  • Experience defining business rules and translating them into technical workflow requirements.
  • Experience partnering directly with xDR leadership, Sales Operations, Revenue Operations, and Sales stakeholders.
  • Strong analytical ability, including experience evaluating conversion, acceptance, progression, and pipeline performance.
  • Ability to lead a complex cross-functional capability without direct authority.
  • Strong documentation, governance, and operating-process design skills.
  • Familiarity with Qualified, Outreach, Salesforce, Marketo, Common Room, Clay, or comparable GTM platforms.
  • Experience designing routing models, next-best-action frameworks, or automated Sales handoffs.
  • Experience supporting enterprise B2B SaaS go-to-market motions.
  • Experience in cybersecurity, identity, developer platforms, customer identity, application development, or cloud infrastructure.
  • Experience marketing to Product, Engineering, developer, application, or technical buyer audiences.
  • Experience with account-based, product-led, signal-led, customer expansion, and partner-influenced demand motions.
  • Experience in lead or account qualification, lifecycle management, routing, disposition, recycling, and Sales handoff processes.

Perks & Benefits

Accuracy and effectiveness of AI-assisted qualification.
Human xDR and Sales acceptance rates.
Speed and quality of AI-to-human handoffs.
Reduction in routing, ownership, and follow-up leakage.
Progression from AI engagement to meetings, opportunities, and pipeline.
Adoption and confidence among xDR, Sales, Marketing, and Revenue Operations stakeholders.
Scalability and governance of the AI xDR operating model.

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