LOADING
# editor_note . curation
source_signals.ymlloading evidence
-status:warming route cache
-listing:fetching source record
-signals:preparing detail view
Enablement role building AI fluency across an ad-tech org — you launch training programs, launch an AI Guild, and own adoption metrics, not the platform.
Company: Nexxen (Flexible advertising platform with DSP, SSP, and data infrastructure)
As the Senior Staff AI Enablement, you will sit at the critical intersection of Nexxen's operational workflows and emerging technologies to architect and execute a comprehensive automation and adoption strategy. You will lead the overarching approach for integrating AI tools across the organization, ensuring our teams from Client Services, Operations, Finance, HR, Sales, and Legal are equipped with efficient, scalable, and high-performing processes to drive business growth.
You are a seasoned leader with deep expertise in process engineering, AI toolsets (LLMs, agents, and low-code platforms), and cross-functional change management. This is a high-visibility role reporting into the COO, requiring you to operate as both a strategic architect of AI-enabled systems and a hands-on operator who builds AI fluency across a global workforce.
Define and execute the AI enablement strategy across all business lines, ensuring alignment with company-wide efficiency, growth, and innovation goals.
Lead initiatives to streamline internal workflows by identifying manual friction points across departments and uncovering high-impact automation opportunities.
Evaluate, select, and implement AI platforms (e.g., LLM-based tools such as Claude, agents, and low-code solutions) to improve task execution while maintaining strong data privacy, security, and cost efficiency.
Design and deliver tailored training sessions, workshops, and prompt engineering resources that enable teams to effectively integrate AI into their day-to-day workflows.
Launch and lead Nexxen's internal "AI Guild," building a network of cross-functional AI Champions who share best practices, pilot use cases, and accelerate adoption across the organization.
Own the end-to-end performance and scalability of AI-enabled workflows, leveraging low-code tools to build and maintain production-ready solutions that address real operational pain points.
Act as the primary liaison between business teams and Product/Engineering, translating operational needs into technical requirements for integrations, automation, and system enhancements.
Establish metrics and dashboards to track AI utilization, engagement, and productivity gains, providing leadership with clear visibility into adoption and business impact.
For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice.