About Vention
Vention is a global engineering partner to tech leaders and fast-growing startups, combining 20+ years of product development expertise with an AI-first approach and a reputation for reliable delivery.
Responsibilities
•Own end-to-end delivery of projects: planning, execution, risk management, and closure
•Define project scope, timelines, milestones, and dependencies, and keep them aligned with business goals
•Lead Agile/Scrum ceremonies, from sprint planning to retrospectives, and track and report on team velocity
•Run PI planning sessions and regular milestone reviews
•Maintain project governance: RAID logs, KPIs, status reports, and release documentation
•Gather and analyze business requirements, and translate them into user stories, acceptance criteria, and a clear Definition of Done
•Map business processes and ensure traceability from requirements to delivery, including UAT
•Lead cross-functional teams (engineering, QA, design, analysts) and coordinate with international stakeholders
•Manage stakeholder expectations and communicate progress, risks, and trade-offs clearly to leadership and clients
•Support product managers in the planning cadence and throughout the release lifecycle
•Track project and product metrics: delivery performance, feature requests, and critical bugs
•Take part in product demos and discussions with clients when needed
•Identify AI opportunities within projects and help bring AI-enabled features and workflows to delivery
Requirements
•4 years of project management experience in software development or technology-driven environments
•Proven end-to-end delivery track record across planning, execution, risk management, and closure
•Strong Agile/Scrum and governance experience: timelines, dependencies, RAID, KPIs, and reporting
•Experience leading cross-functional teams and working with international stakeholders
•Strong business analysis skills: requirements elicitation, user stories, acceptance criteria, process mapping, UAT, and traceability
•Ability to translate business needs into clear requirements and actionable scope
•Understanding of software lifecycles, APIs, integrations, data flows, and enterprise systems
•Proficiency with Jira and Confluence
•Strong prioritization judgment and excellent communication and stakeholder-management skills
•Ability to break down ambiguous problems into structured, actionable plans
•English proficiency at B2 level or higher
Nice to Have
•Experience managing AI-enabled products, features, or initiatives
•Understanding of AI/ML delivery: data readiness, governance, evaluation, and risks
•Experience defining business cases, success metrics, and acceptance criteria for AI solutions
•Familiarity with generative AI, LLMs, prompt engineering, AI agents, or AI-assisted workflows
•Ability to balance business value, feasibility, delivery effort, and AI-related risks
•Experience driving AI adoption or AI-enabled transformation
Conditions
•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
•24 working days of vacation per year
•Expanded medical insurance
•Corporate getaways & team building activities
•Fitpass sport program
•Support for significant life events
•Access to discounts across a variety of stores, restaurants & cafes through a corporate discount program
•Referral bonuses for bringing in new talent
