👋🏼We're Nagarro

 we are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale across all devices and digital mediums, and our people exist everywhere in the world (17700+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! 

REQUIREMENTS:

• Total experience of 8+ years in
• Experience in Technical Program Management or related roles
• Strong understanding of RAG workflows (capable level) and Machine Learning fundamentals
• Experience working with AI/ML product lifecycles, including LLM applications and pipeline workflows
• Proven ability to drive end-to-end program execution across cross-functional teams (ML, backend, infra, product)
• Strong experience in roadmap planning, milestone definition, dependency tracking, and risk management
• Hands-on exposure to AI/ML platform teams or products
• Experience managing Scrum of Scrums, OKRs, sprint planning, and delivery tracking
• Excellent stakeholder management and influencing skills without authority
• Strong communication skills with experience presenting to senior leadership
• Ability to operate in complex, high-scale, and ambiguous environments with strong ownership mindset

RESPONSIBILITIES:

• Own and drive end-to-end execution of AI platform programs
• Lead program planning and execution across ML, engineering, infrastructure, and product teams
• Define and manage quarterly roadmaps, milestones, dependencies, and risk plans
• Run execution cadence including stand-ups, sprint reviews, OKRs, and Scrum of Scrums
• Partner with engineering leaders to unblock issues and accelerate delivery
• Manage cross-team dependencies and ensure alignment across business units
• Track program progress and provide regular status updates and insights to leadership
• Identify risks proactively and drive mitigation and de-risking strategies
• Improve program governance, execution frameworks, and operational efficiency
• Drive a culture of accountability, ownership, and delivery excellence

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.