Requirements:

• 5+ years of experience in project management/delivery management.
• Proven experience managing cross-functional engineering teams, including AI/ML, Backend, Frontend, QA, and Data Engineers.
• Strong understanding of SDLC with advanced proficiency in ClickUp, Jira, or Asana, and high adaptability across tools and environments.
• Experience working with US-based clients or teams, preferably in AI-driven or data-heavy products, with a background in software engineering or technical roles.
• Familiarity with Agile methodologies (Scrum, Kanban), API-based systems, and modern web architectures.
• Exposure to AI/ML project workflows is preferred.
• Excellent communication and stakeholder management skills, supported by strong analytical and problem-solving abilities.
• Ability to prioritize effectively under pressure with high ownership, accountability, and strong delivery focus.
• Strong people skills and emotional intelligence for effective leadership and cross-functional collaboration.

Responsibilities:

• Plan, allocate, and optimize resources across multiple teams (AI, Java, React, QA, Data).
• Ensure maximum productivity and minimal idle time across the offshore team.
• Break down product goals into clear tasks, timelines, and deliverables.
• Proactively identify bottlenecks, dependencies, and risks, and resolve them early.
• Work closely with the US counterpart (Product / Leadership) to align on priorities and roadmap.
• Translate business requirements into actionable engineering plans.
• Maintain continuous communication to ensure clarity across time zones.
• Own the project lifecycle from planning, execution, delivery, and reporting.
• Ensure tasks are clearly defined, estimated, assigned, and tracked.
• Act as a power user of ClickUp (or similar tools) for task management, workload balancing, progress tracking, and reporting dashboards.
• Ensure effective visibility of work across teams through structured tracking and monitoring of ongoing tasks.
• Provide structured, data-driven reports on team productivity, delivery timelines, risks, and blockers.
• Analyze and present insights on resource utilization to support better planning and decision-making.
• Drive sprint planning, standups, retrospectives, and delivery reviews.
• Build strong relationships with engineers across disciplines.
• Ensure a high-performance, accountable, and motivated team culture.
• Handle conflict resolution, performance feedback, and alignment issues.
• Support team members in achieving their full potential.
• Work closely with QA to ensure high-quality delivery standards.
• Continuously improve processes for efficiency, predictability, and scalability.
• Introduce best practices in Agile / Lean execution.