Description:
Location: Mumbai, Maharashtra
WorkType: Hybrid
Work Mode: Full Time
Reporting to: CPO
Roles & Responsibilities:
- Own and manage end-to-end delivery of software projects: from scope finalization to go-live and post-launch enhancements.
- Act as the primary point of contact for clients and internal stakeholders: manage expectations, ensure clarity, and build strong delivery relationships.
- Translate business requirements into actionable tasks while coordinating cross-functional teams (Engineering, Product, Data, QA, Ops).
- Define and track project plans: milestones, risks, schedules, budgets, and performance KPIs.
- Drive delivery governance: weekly reviews, status reports, escalation handling, compliance checks.
- Ensure product quality through structured QA, validation, and UAT processes especially for AI/ML-powered components.
- Lead customer onboarding, training, documentation, and change management for product adoption.
- Promote delivery excellence via process standardization and operational best practices.
- Mentor and guide junior delivery/implementation team members; foster a culture of accountability and ownership.
- Support leadership with delivery insights for planning, forecasting, and scaling.
Qualifications & Requirements:
Must-Haves:
- Bachelors or Master's degree in Business, Engineering, Computer Science, or related fields.
- 5 - 8 years of experience in software delivery or project coordination roles.
- Solid understanding of SDLC and full-stack software fundamentals (e.g., REST APIs, cloud basics, database concepts).
- Demonstrated success in delivering projects involving cross-functional teams.
- Excellent communication, organization, and client-management skills.
- Able to thrive in a dynamic startup environment proactive, structured, problem-solving mindset.
Nice-to-Haves:
- Experience in AI/ML product delivery.
- Exposure to automotive, industrial, or manufacturing domains.
- Knowledge of Agile methodologies and DevOps workflows.
What We Offer:
- A chance to shape the Human + AI future of frontline work.
- Work on high-impact solutions transforming global manufacturing and automotive ecosystems.
- Fast-growth opportunities: autonomy, leadership, and continuous learning.
- Competitive compensation and benefits
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