• Manage and mentor a team of engineers and engineering leads • Own and refine team processes, ensuring adherence to agile methodologies • Drive the technical vision and roadmap for the Core Platform • Collaborate with stakeholders to define and manage roadmaps, timelines, and deliverables

• Manage and mentor a team of engineers and engineering leads • Build a collaborative and inclusive team culture • Own and refine team processes, ensuring adherence to agile methodologies • Oversee task management in JIRA • Collaborate with stakeholders to define and manage roadmaps • Drive the technical vision and roadmap for various squads • Ensure the delivery of robust, high-performance data pipelines • Advocate for best practices in software development and DevOps • Partner with product managers and engineering teams to align platform goals

• Lead and mentor a team of engineers across multiple squads • Manage and oversee team processes ensuring adherence to agile methodologies • Drive the technical vision and roadmap for Core Platform, Data Pipelines, DevEx, and DevOps squads • Ensure robust, high-performance data pipelines and advocate for best practices in software development and DevOps • Collaborate with product managers and other stakeholders to align platform goals with business priorities • Monitor and improve key performance metrics • Ensure platform components comply with security, compliance, and scalability requirements

• Lead and grow an AI engineering group (30+ engineers) - backend, ML, DevOps, and QA profiles. • Define architecture standards for LLM-based products: RAG pipelines, agent orchestration, tool use, evaluation frameworks. • Set the bar for production-grade AI systems: observability, cost control, latency, safety, and reliability. • Oversee the full lifecycle of AI systems - from prototype to production and beyond. • Drive the adoption of AI-powered developer tooling across Netguru teams (Cursor, Copilot, Claude, prompt engineering workflows). • Build playbooks, run workshops, and lead by example - engineers should feel empowered, not replaced. • Measure adoption impact using DORA/SPACE metrics and human signals (developer experience, cycle time, rework). • Build a library of reusable AI practices scalable across 100+ projects. • Be the technical voice in deal reviews for AI/GenAI opportunities. • Provide fast, reliable architecture options, risk assessments, and effort estimates - even for unknown domains. • Challenge unrealistic scopes and propose alternatives that win trust and close deals. • Build Netguru's AI/GenAI competency roadmap - stacks, reference architectures, integration patterns. • Grow Tech Leads who can own AI workstreams independently. • Build communities of practice around LLM engineering, prompt engineering, and AI evaluation. • Monitor team health: velocity, code quality, morale, rework rate, CI/CD, test coverage.