Product Owner

Roles and Responsibilities

• Partner closely with the Product Manager to translate 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, and System integrations.
• Strong understanding of modern AI concepts and applications, including LLMs, RAG architectures, AI Assistants, and 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.
• Must be comfortable 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 of experience who 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, Validating AI-driven experiences.

What Success Looks Like (6-12 Months)

• Independently own major EP2 features from ideation through release.
• Drive backlog and delivery across multiple platform integrations.
• Validate functionality end-to-end within multiple environments.
• Help identify new self-service opportunities across Enterprise Platforms.
• Improve product quality by proactively catching usability, workflow, integration, and AI-response issues before release.