Director AI PLG
About The Position
About the role: Key Responsibilities AI Infrastructure & Platform Strategy Design and maintain an AI technology stack that supports automated customer life cycles and product-led engagement. Unify customer data into a definitive system of record to power all automated communications and buyer journeys. Evaluate and implement AI tools and data constructs that solve specific friction points in the freemium and trial conversion process. Establish data pipelines and model governance to ensure reliable, scalable, and automated insights. PLG AI Enablement & Support Implement AI-driven experiences within the application to communicate directly with users based on real-time behavior. Develop AI-powered health monitoring and expansion strategies to drive engagement beyond the initial sales meeting. Scale operations through automation, focusing on "human-in-the-loop" workflows rather than managing a large manual team. Provide recommendations to product and marketing teams on building the foundation for new, automated GTM motions. Cross-Functional AI Strategy Serve as the AI subject matter expert, "charting the path" for growth by translating business requirements into technical AI solutions. Conduct a 90-day "listening tour" to map out current onboarding processes, data availability, and build customer empathy. Establish performance metrics and continuously optimize AI models based on business outcomes and ROI.
Requirements
- 5+ years in revenue, sales, or marketing operations with recent, hands-on experience implementing AI tools.
- PLG Background: Proven experience at a Product-Led Growth company, ideally at the Series C stage.
- Technical Acumen: Strong background in data analysis, aligning data models, and evaluating model performance.
- Mindset: Data-driven and experimentation-minded with specific experience in freemium/trial conversion models.
- Execution: A "scrappy" approach to execution with the ability to manage vendor relationships and lead change management.
Responsibilities
- Design and maintain an AI technology stack that supports automated customer life cycles and product-led engagement.
- Unify customer data into a definitive system of record to power all automated communications and buyer journeys.
- Evaluate and implement AI tools and data constructs that solve specific friction points in the freemium and trial conversion process.
- Establish data pipelines and model governance to ensure reliable, scalable, and automated insights.
- Implement AI-driven experiences within the application to communicate directly with users based on real-time behavior.
- Develop AI-powered health monitoring and expansion strategies to drive engagement beyond the initial sales meeting.
- Scale operations through automation, focusing on "human-in-the-loop" workflows rather than managing a large manual team.
- Provide recommendations to product and marketing teams on building the foundation for new, automated GTM motions.
- Serve as the AI subject matter expert, "charting the path" for growth by translating business requirements into technical AI solutions.
- Conduct a 90-day "listening tour" to map out current onboarding processes, data availability, and build customer empathy.
- Establish performance metrics and continuously optimize AI models based on business outcomes and ROI.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
