Product Owner
- Infyshine Inc.
5 Hours Ago
NA
C2C
Philadelphia-PA
10-20 Years
Required Skills: Product Owner, AI, SDLC
Job Description
Responsibilities (Technical Product Owner – Spec-driven + AI)
1. Define clear, structured specifications – Create precise, testable, and AI-consumable requirements (user stories, acceptance criteria, edge cases).
2. Requirement Gathering - Able to gather business requirements and translate them into clear, detailed specifications for development teams
3. Experience in prompt engineering, with understanding of mock-up fields and specification-driven development
4. Experience working across ARTs and managing multiple teams
5. Knowledge of data and system pipelines, with the ability to interpret and work within them
6. Enable AI-driven development – Shape requirements so tools like GitHub Copilot and automation frameworks can effectively generate code and tests.
7. Align stakeholders – Bridge business, engineering, and QE teams to ensure shared understanding of specifications and outcomes.
8. Drive test-first approach – Ensure specifications directly translate into automated test scenarios (e.g., Playwright).
9. Support standardization efforts – Contribute to building reusable frameworks, templates, and governance for cross-team adoption.
Skillsets
1. Technical understanding – Knowledge of APIs, SDLC, automation frameworks, and ability to interpret code and system design.
2. Specification writing expertise – Ability to create detailed, unambiguous, and testable requirements (e.g., structured formats).
3. AI literacy – Understanding of AI tools (e.g., Copilot), prompt engineering basics, and validating AI-generated outputs.
4. Quality engineering mindset – Strong focus on edge cases, negative scenarios, and automation-first thinking.
5. Communication & analytical skills – Ability to break down complex problems and clearly translate business needs into technical specifications.
6. Strong communication and stakeholder management (excellent soft skills)
Experience Required: 10 & Above
1. Define clear, structured specifications – Create precise, testable, and AI-consumable requirements (user stories, acceptance criteria, edge cases).
2. Requirement Gathering - Able to gather business requirements and translate them into clear, detailed specifications for development teams
3. Experience in prompt engineering, with understanding of mock-up fields and specification-driven development
4. Experience working across ARTs and managing multiple teams
5. Knowledge of data and system pipelines, with the ability to interpret and work within them
6. Enable AI-driven development – Shape requirements so tools like GitHub Copilot and automation frameworks can effectively generate code and tests.
7. Align stakeholders – Bridge business, engineering, and QE teams to ensure shared understanding of specifications and outcomes.
8. Drive test-first approach – Ensure specifications directly translate into automated test scenarios (e.g., Playwright).
9. Support standardization efforts – Contribute to building reusable frameworks, templates, and governance for cross-team adoption.
Skillsets
1. Technical understanding – Knowledge of APIs, SDLC, automation frameworks, and ability to interpret code and system design.
2. Specification writing expertise – Ability to create detailed, unambiguous, and testable requirements (e.g., structured formats).
3. AI literacy – Understanding of AI tools (e.g., Copilot), prompt engineering basics, and validating AI-generated outputs.
4. Quality engineering mindset – Strong focus on edge cases, negative scenarios, and automation-first thinking.
5. Communication & analytical skills – Ability to break down complex problems and clearly translate business needs into technical specifications.
6. Strong communication and stakeholder management (excellent soft skills)
Experience Required: 10 & Above
