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