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We are driving AI transformation across the software development lifecycle (SDLC) in a large-scale enterprise environment. This transformation began within a complex enterprise product, where software planning, specification, build, and delivery are being redefined through AI-enabled workflows. Today, that product stands at the center of a broader rollout, with the approach already expanding across early-adopter products and a long-term ambition to scale across 200+ client engagements across the company. We are looking for a Product Owner to join the product where this AI transformation began and which continues to play a central role as it expands across the company. The role focuses on AI-first product specification work, including PRDs, structured specifications, acceptance logic, and implementation-ready requirement artifacts created through AI-assisted workflows that support downstream delivery. You’ll join a highly senior team where experimentation is encouraged, decision-making is fast, and new technologies are explored as they emerge. As part of Vention, a global engineering partner to tech leaders and fast-growing startups, you’ll work in an environment that combines strong engineering discipline with practical AI adoption at scale.
Job Responsibility
Build PRDs, structured specifications, and requirement artifacts through AI-first workflows
Own product scope and requirements in a technical delivery environment where AI is embedded into the SDLC
Decompose product requirements into implementation-ready deliverables, acceptance criteria, and traceable specification artifacts
Use prompt-driven, framework-based, and agent-supported approaches to improve specification quality, speed, and downstream delivery readiness
Collaborate with engineering and delivery stakeholders to ensure requirements are structured for execution
Drive the evolution of AI-first product ownership and specification practices across early-adopter products
Requirements
Strong Product Owner background in technical product delivery environments
Hands-on experience using AI as a primary working mechanism in requirements engineering, specification development, and structured decomposition workflows
Experience working within AI-first, artifact-driven, or spec-driven delivery approaches where requirements are translated into downstream implementation artifacts
Strong command of requirement decomposition, acceptance criteria, acceptance logic, and artifact traceability
Nice to have
Practical familiarity with BMAD, Kiro, Spec Kit, Specflow, or equivalent approaches
Experience with agent-based workflows
Experience with prompt-structured delivery workflows
Experience working with formalized traceability systems or implementation-oriented documentation models
What we offer
EDU corporate community (300+ members): tech communities, interest clubs, events, a small R&D lab, a knowledge base, and a dedicated AI track
Licenses for AI tools: GitHub Copilot, Cursor, and others
Expanded medical insurance for employees
Meetups, organized by our company
Corporate getaway & teambuilding activities
Pizza days, office gatherings
Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program