openleverjobgether
Head of AI Products & Agentic Solutions
Jobgether
LocationUS
EmploymentFull-time
Posted2026-08-21T08:02:47.527000+00:00
Last observed2026-08-26 21:51:40.410433
Job idjobgether-jobgether:lever:860ec0fa-5fe7-4227-82be-8197a6698e86
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Head of AI Products & Agentic Solutions based in the United States. This is a senior leadership opportunity to shape the next generation of AI-powered enterprise marketing technology. You will own the vision, roadmap, and evolution of AI product and agentic platform capabilities used by sophisticated global clients. The role sits at the intersection of product strategy, artificial intelligence, enterprise software, and business transformation. You will turn complex client and business challenges into scalable AI products, reusable agents, and production-ready platform capabilities. Working across strategy, engineering, sales, and client-facing teams, you will influence both product direction and measurable commercial outcomes. You will also build and lead a high-performing product organization while establishing strong standards for AI governance, security, quality, and lifecycle management. This role is ideal for an experienced AI product leader who thrives in a high-growth environment and wants meaningful ownership over an ambitious technology transformation. Define and execute the multi-year product vision and roadmap for AI-powered marketing platforms, prioritizing investments according to client needs, market opportunities, emerging technologies, and measurable business value. Lead the evolution of agentic AI capabilities, including AI agents and multi-agent workflows, and establish repeatable processes for moving use cases from strategy through production. Evaluate emerging generative AI technologies, models, orchestration frameworks, and other innovations, incorporating them into the product strategy when they provide meaningful competitive or client advantages. Establish and monitor product success metrics covering adoption, client outcomes, operational efficiency, platform performance, and business impact. Partner with strategy, sales, and client services teams to transform successful AI solutions into repeatable products and scalable offerings across clients and industries. Establish standards for AI governance, security, quality assurance, monitoring, responsible deployment, and lifecycle management. Work closely with engineering, product management, and customer-facing teams to deliver secure, reliable, enterprise-grade AI solutions. Translate complex marketing and business challenges into practical, scalable technology products and platform capabilities. Partner with senior strategy leadership to turn AI transformation recommendations and operating models into tangible products and implementation approaches. Engage directly with enterprise clients, providing product leadership, technical guidance, and executive-level thought leadership. Represent the AI product vision in senior client discussions and help position the organization's technology capabilities as a differentiated enterprise solution. Build, mentor, and lead a high-performing team spanning AI product strategy, platform innovation, and product delivery. Foster a culture of intellectual curiosity, disciplined execution, innovation, accountability, and strong customer focus. Collaborate across engineering, sales, client services, strategy, and executive leadership to align product priorities with broader growth objectives. Within the first 90 days, assess the current platform, establish key relationships, and identify high-impact investments; within six months, establish an aligned multi-year roadmap and deliver meaningful platform capabilities into active client use. Requirements 10+ years of experience leading enterprise software, SaaS, or AI product organizations, with a demonstrated history of building and scaling AI-powered products or platforms. Deep knowledge of generative AI, large language models (LLMs), agentic systems, orchestration frameworks, and enterprise AI architecture. Proven experience leading cross-functiona
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