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.

• 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

• Strong Product Owner background in technical product delivery environments
• Proven experience creating structured product specifications, PRDs, and implementation-ready requirement artifacts 
• 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
• Fluent Russian language

Strong plus:

• 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

• 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.
• Private medical care with LuxMed.
• Kafeteria MyBenefit credits for stores, restaurants, and cafés.
• Access to a Multisport membership to stay active.
• Glasses reimbursement program.
• Referral bonuses for bringing in new talent.