AI Product Manager

Job Title : Technical AI Product Manager


Location: Phoenix, AZ (Onsite)

Job Description:


Looking for a highly hands-on Technical Product Owner with strong product, platform, AI, and testing skills who can help turn the EP2 vision into a scalable self-service platform while owning delivery quality from requirements through production validation.



Roles and Responsibilities:
• Partner closely with the Product Manager to translate the EP2 vision into executable features, stories, and releases.
• Help define and refine capabilities across: Capability Maps, Self-Service Services, Workflow Composer, AI Assistant and Knowledge Experiences
• Work with platform SMEs, engineers, architects, and business teams to identify self-service opportunities and reusable platform capabilities.
• Drive backlog readiness, feature decomposition, acceptance criteria, dependency management, and release planning.



Technical & AI Expectations
• Comfortable working in highly technical platform environments involving:
o APIs, Data assets, Events, Workflows, Capability models, System integrations
• Strong understanding of modern AI concepts and applications, including:
o LLMs, RAG architectures, AI Assistants, Agents, Prompt-driven experiences
• Able to evaluate AI-powered experiences from both a product and user perspective.
• Capable of understanding technical architecture discussions and translating them into product requirements.
• The PO must be comfortable being hands-on testing or debugging on their own



Hands-On Problem Solving
• Comfortable validating integrations, testing APIs, reviewing logs, reproducing issues, and helping isolate root causes.
• Acts as the first line of validation before involving engineering teams.


Ideal Candidate Profile: Looking for someone with 6-9 years and combines elements of:
• Product Owner
• Business Analyst
• Technical Analyst
• Functional Tester



The ideal candidate is equally comfortable:
• discussing user journeys with business teams,
• reviewing architecture with engineers,
• testing functionality in lower environments,
• and validating AI-driven experiences.



What Success Looks Like: Within the first 6-12 months, this person should be able to:
• Independently own major EP2 features from ideation through release.
• Drive backlog and delivery across multiple platform teams.
• Validate functionality end-to-end with minimal supervision.
• Help identify new self-service opportunities across Enterprise Platforms.
• Improve product quality by proactively catching usability, workflow, integration, and AI-response issues before release.