Nintex

VP leading strategy, architecture, and execution of AI-driven solutions for the Revenue organization. Owns end-to-end applied AI function, from use-case identification to deployed, monitored, value-generating systems. Focuses on building production-grade AI agents and LLM-powered solutions embedded in workflows, making build vs. buy decisions, managing budget, and defining KPIs. Also responsible for data engineering foundations and developing proprietary models. Requires strong leadership and hands-on experience in applied AI and data engineering.

This role focuses on architecting, optimizing, and scaling a company's go-to-market (GTM) systems infrastructure and AI-enabled workflows. The individual will be responsible for designing and executing integrated workflows across the revenue engine, leading the evolution of the GTM technology ecosystem towards AI-driven systems orchestration. Key responsibilities include developing AI-enabled workflows, designing automation frameworks, integrating data sources, piloting emerging technologies, and scaling operational solutions from proof-of-concept to production.