Product Owner with AI / Prompt Engineer

A technology services client of ours is looking for a Product Owner with AI / Prompt Engineer for their ongoing projects.

Below are the additional details of this role

Required Qualifications

• Technical understanding: Knowledge of APIs, SDLC, automation frameworks, and the ability to interpret code and system design.
• Design, test, and continuously optimize AI prompts for Large Language Models (LLMs) to improve response quality, accuracy, and business outcomes. Develop prompt libraries, evaluate outputs, and refine prompts using structured experimentation and user feedback.
• Collaborate with product managers, business stakeholders, and engineering teams to translate business requirements into AI-powered workflows, defining prompt strategies, guardrails, evaluation criteria, and success metrics for generative AI applications.
• Specification writing expertise: Ability to create detailed, unambiguous, and testable requirements (e.g., structured formats).
• AI literacy: Understanding of AI tools (e.g., Copilot), prompt engineering basics, and validating AI-generated outputs.
• Quality engineering mindset: Strong focus on edge cases, negative scenarios, and automation-first thinking.
• Communication & analytical skills: Ability to break down complex problems and clearly translate business needs into technical specifications.
• Strong communication and stakeholder management (excellent soft skills).

Responsibilities

• Define clear, structured specifications: Create precise, testable, and AI-consumable requirements (user stories, acceptance criteria, edge cases).
• Requirement Gathering: Gather business requirements and translate them into clear, detailed specifications for development teams.
• Experience in prompt engineering, including understanding mock-up fields and specification-driven development.
• Experience working across ARTs and managing multiple teams.
• Knowledge of data and system pipelines, with the ability to interpret and work within them.
• Enable AI-driven development: Shape requirements so tools like GitHub Copilot and automation frameworks can effectively generate code and tests.
• Align stakeholders: Bridge business, engineering, and QE teams to ensure shared understanding of specifications and outcomes.
• Drive test-first approach: Ensure specifications directly translate into automated test scenarios (e.g., Playwright).
• Support standardization efforts: Contribute to building reusable frameworks, templates, and governance for cross-team adoption.

This role can be W2 or 1099/C2C and is open for anyone with valid work authorization in the US.