AI Technical Product Owner

Role: AI Technical Product Owner Location: Phoenix, AZ (3 days office, 2 days wfh) Duration: Long Term Contract Rate: $72/hr Key Skills: Technical Product Owner, AI, LLMs, RAG Architecture, APIs Experience Level: 10+ years 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: APIs, Data assets, Events, Workflows, Capability models, System integrations Strong understanding of modern AI concepts and applications, including: 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 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. Fisec Global