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KnowBe4 Logo

VP of AI Innovation (Hybrid)

KnowBe4

Salary not specified
Oct 20, 2025
Clearwater, FL, US
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KnowBe4 is looking to drive AI transformation across the organization, turning artificial intelligence opportunities into measurable business results.

Requirements

  • 10+ years of experience in ML/AI, process automation, or digital transformations
  • Strong understanding of AI technologies and automation capabilities (LLMs, APIs, data pipelines, workflow orchestrations, etc.)
  • Demonstrated ability to rapidly delivery enterprise-scale solutions and iteratively – from prototype to production in weeks, not months
  • Familiarity with tools such as OpenAI, AWS Bedrock, LangChain, UiPath, Power BI, etc.
  • Experience analyzing, implementing and optimizing platform fit for purpose AI solutions in GTM solutions (e.g., Salesforce, Clay, Chorus, Salesloft) and support and operations platforms (e.g., Salesforce, ZenDesk, Outreach, NetSuite)
  • Experience setting up a Center of Excellence or internal enablement and governance function

Responsibilities

  • Define, maintain and communicate the company's internal AI strategy, roadmap, and success metrics
  • Lead an AI Strike Team of engineers and analysts to rapidly spin up agentic solutions to validate business fit, measure effectiveness, and scale or move to 3rd party native solutions
  • Partner with leaders across Sales, Marketing, Product, Engineering, Support, IT and operational support functions to identify and prioritize high-impact AI use cases
  • Implement and lead a disciplined and aggressive innovation and delivery model (conceptvalidationmeasurementscale)
  • Implement a build vs buy framework, continually assessing AI advancements in our core vendor offerings and make informed build/buy/partner recommendations
  • Partner with Engineering, Security, and Infrastructure to ensure scalable, compliant, and secure AI solutions
  • Define and track KPIs to measure success of AI and automation initiatives (e.g., time saved, cost reduction, accuracy gains, adoption rates, engagement, quality)

Other

  • Build and lead an internal AI COE to serve as the central catalyst for AI-driven change and oversee compliance, fairness, privacy, and ethical use of AI solutions
  • Champion an AI-driven culture grounded in experimentation and learning
  • Develop and sponsor enterprise-wide AI fluency and enablement programs to upskill employees and leaders
  • Lead structured organizational change management efforts to shift mindsets, workflows, and behaviors
  • Provide genuine recommendations as to the hiring, firing, promotion, and discipline of subordinate employees to which the Company gives significant weight