We are looking for an experienced, high-impact Senior Product / Project Manager to take end-to-end ownership of complex digital solutions. In this role, you will bridge strategic product discovery, technical architecture, and modern AI-driven delivery systems. Operating with high autonomy, you will lead multi-team releases, challenge technical designs, establish responsible AI governance frameworks, and serve as a trusted partner to executive stakeholders. Beyond delivery, you will act as a force multiplier, coaching Product Owners, refining operational frameworks, and converting ambiguous business targets into scalable, high-converting digital products. Key Responsibilities Product Strategy & Commercial Delivery
Roadmap & KPI Execution: Translate high-level business goals (e.g., conversion growth, market expansion) into validated roadmaps, epics, and technical requirements.
Prioritization & Frameworks: Apply rigorous frameworks (RICE, MoSCoW, Scrum, Kanban) to manage scope, schedule, and release sequencing across cross-functional teams.
Commercial Governance: Lead budget management across multiple concurrent initiatives, scope and price formal change requests, and maintain contractual SLA compliance.
Client Proposals: Author compelling, decision-ready proposals, specifications, and scope documents that align commercial terms with delivery realities.
Technical Architecture & AI Governance
Design Validation: Review, evaluate, and challenge solution architectures for complex, scalable systems and integrations alongside technical leads.
Responsible AI Governance: Build product-level AI governance frameworks addressing privacy, intellectual property protection, algorithmic bias, hallucinations, and regulatory frameworks (e.g., the EU AI Act).
Quality & Technical Debt: Establish strict quality gates, automated checks, and proactive technical-debt remediation into release roadmaps.
AI-Driven Delivery: Champion the internal AI-assisted development workflow (prompt/request → sandbox generation → validation → technical gate → merge), ensuring review-ready handovers without cutting architectural corners.
Multi-Team Leadership & Operations
Portfolio Delivery: Orchestrate cross-team dependencies, portfolio risk management, and resource allocation across multiple agile engineering streams.
Mentorship & People Management: Conduct 1:1s, performance evaluations, and active coaching to elevate Product Owners into confident, independent Product Managers.
Operational Evolution: Identify root causes of recurring delivery bottlenecks and introduce refined processes across the hub to enhance predictability and throughput.
Stakeholder Management & Conflict Resolution
Executive Advisory: Build credibility and alignment with C-level clients and internal executives through transparent, data-informed communication.
Decisions Under Uncertainty: Confidently evaluate non-routine problems and make sound product and financial decisions, even with incomplete data.
Candidate Profile
8+ Years of Experience: Proven background in Senior Product Management or Technical Project Management delivering complex software products end to end.
Deep AI Lifecycle Familiarity: Hands-on understanding of deploying AI features, identifying risks (data leaks, hallucinations, IP), and leveraging AI-assisted software workflows.
Architectural Fluency: Ability to engage in peer-level architectural reviews with engineering leads regarding scalability, API integrations, and code hygiene.
Multi-Account Governance: Demonstrated success managing simultaneous project budgets, statements of work (SOWs), and multi-team resource plans.
Advanced English Proficiency: Exceptional verbal, written, and presentation skills suited for international clients and executive steering committees.
Tool Proficiency: Extensive hands-on experience with Jira or Bitrix24, Figma, GA4 or Mixpanel, and advanced data manipulation in Excel/spreadsheets.
Autonomous Mindset: A track record of making high-stakes decisions independently, managing operational risk, and protecting company reputation.
Job Requirements
Gender
Men / Women
Education
Bachelor| Computer and IT
Language
English| Advanced 90%
Software
Microsoft Excel| Advanced Jira| Intermediate Figma| Intermediate
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