Applied AI Product Manager

Role Overview:

In this role, you ll make an impact in the following ways:

Product Strategy & Roadmap Execution

• Execute the applied AI product roadmap aligned to enterprise AI strategy and platform priorities

• Translate business needs into product requirements, backlog priorities, and release plans

• Identify opportunities for AI-enabled automation within specific domains or workflows

• Work with engineering and data science to refine technical solutions and product features

AI-Powered Process Innovation

• Translate operational challenges into AI-enabled features, automation workflows, or decision-support tools

• Support development of LLM-powered solutions, intelligent automation, and agent-enabled workflows

• Work with platform teams to implement AI capabilities within existing business processes

Execution & Cross-Functional Delivery

• Leads delivery of specific AI products or capabilities across product, engineering, and data science teams

• Coordinates development, testing, and deployment of AI-enabled solutions

• Removes blockers and ensures alignment within product delivery teams

Stakeholder Engagement

• Work with engineering, data science, and operational stakeholders to deliver AI product features

• Communicate requirements, priorities, and delivery progress

• Help translate technical capabilities into practical business outcomes

Impact Measurement

• Track product-level metrics such as automation adoption, workflow efficiency, and user engagement

• Use feedback and data to iterate and improve AI product performance

To be successful in this role, we re seeking the following:

Required

• 8 10 years of experience in Applied AI product management, AI-enabled product development, or enterprise software delivery

• Strong understanding of:

• AI-powered product capabilities

• Generative AI

• Intelligent automation and agentification

• Experience working with engineering and data science teams to deliver applied AI products

• Knowledge of enterprise architecture patterns including APIs, microservices, and distributed systems

• Ability to translate complex business challenges into scalable technical solutions

• Strong product delivery, prioritization, and stakeholder management skills

• Bachelor's degree in STEM or related discipline

Preferred

• Experience implementing LLM-based solutions or intelligent automation platforms

• Familiarity with AI lifecycle management, model monitoring, and observability tools

• Experience working in regulated or enterprise environments

• Certifications: CSPO, A-CSPO, SAFe POPM, CSM, AWS Cloud Practitioner, Generative AI specialization.

• Advanced degree preferred