Remote: Hybrid

About the Role: We are looking for a Technical Delivery Manager who combines strong delivery leadership with deep hands-on technical credibility. This is not a purely process-driven PM role — you'll be expected to go deep into Full Stack architecture discussions, review technical designs, understand AI/ML-based solutioning, and speak the language of engineers fluently, while owning end-to-end delivery accountability.Key Responsibilities: Own end-to-end technical delivery for complex, multi-team engineering programs — scope, timelines, risk, quality, and stakeholder communication.Partner with engineering leads and architects to review solution designs, ensuring technical feasibility, scalability, and alignment with delivery timelines.Drive adoption of AI-based development practices within engineering teams — including GenAI-assisted coding tools, LLM-based feature development, and AI-driven automation in the SDLC.Stay current on emerging AI trends and solutions (LLMs, GenAI, agentic workflows, ML Ops) and evaluate their applicability to ongoing projects and client engagements.Act as a technical escalation point — capable of debugging delivery blockers that stem from actual code, architecture, or infrastructure issues, not just process gaps.Manage cross-functional teams (frontend, backend, DevOps, QA, data) across the full-stack development lifecycle.Define and track delivery metrics (velocity, quality, technical debt)



and report to senior stakeholders/leadership.Facilitate Agile ceremonies (sprint planning, retros, stand-ups) while ensuring technical rigor isn't sacrificed for speed.Mentor engineering and delivery teams on best practices in both software delivery and AI-enabled development workflows.Required Skills & Experience:Proven experience as a Technical Delivery Manager, Technical Program Manager, or similar hybrid delivery+engineering leadership role.Robust full-stack development background — hands-on or recent hands-on experience with modern stacks (e.G., Java/Spring Boot, Node.Js, React/Angular, Python).Demonstrated experience integrating AI/ML or GenAI solutions into products or internal engineering processes (e.G., LLM-powered features, AI coding copilots, intelligent automation).Solid understanding of cloud platforms (AWS/Azure/GCP), CI/CD pipelines, and microservices architecture.Experience managing delivery for complex, multi-stakeholder programs — ideally in a product or enterprise SaaS environment.Strong grasp of Agile/Scrum methodologies, with the judgment to know when to flex process for technical reality.Excellent stakeholder management and communication skills — able to translate technical nuance for non-technical leadership and vice versa.Experience of 10–15 years given the mix of deep technical + delivery leadership skills

📌 Technical Delivery Manager – Ai & Full-Stack Engineering (India)
🏢 Galent
📍 India