Define, maintain and communicate the company’s internal AI strategy, roadmap, and success metrics
Align AI initiatives to corporate goals for growth, operational efficiency, and customer experience
Seize today’s AI opportunities and anticipate the path toward Artificial General Intelligence (AGI) and guide the company’s readiness in skills, architecture, and culture
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
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
Manage strategic relationships with leading AI providers, including Google, Anthropic, AWS, and OpenAI
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)
Maintain centralized dashboards and reporting to communicate outcomes to executive leadership
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
Requirements
10+ years of experience in ML/AI, process automation, or digital transformations
Proven record of leading cross-functional transformations with measurable business impact
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
Executive-level communication, facilitation, and change management skills
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
Benefits
company-wide bonuses based on monthly sales targets
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