Technical Project Manager
Kadel Labs
- Udaipur, Rajasthan
- Permanent
- Full-time
Experience Required: 8+ yearsJob Description:We are looking for an experienced Technical Project Manager to lead and deliver complex technology projects end-to-end. The ideal candidate should have a strong technical background, excellent stakeholder management skills, and proven experience in managing cross-functional teams.Key Responsibilities:
- Own the day-to-day client relationship for your assigned engagements
- Run sprint reviews, steering calls, and escalation conversations with confidence and preparation
- Proactively identify delivery risks and surface them to the client before they surface themselves
- Manage scope with discipline: track all client requests, flag scope creep to the Delivery Head, and raise change orders on all additions above agreed thresholds
- Maintain a clean project health view across scope, budget, timeline, and risks
- Keep the engineering pod focused: facilitate sprint planning, remove blockers within 24 hours, and protect the team from scope thrash
- Build rapport with client ICs, leads, and product owners — your network inside the client is your early warning system
- Capture and share expansion signals with the Delivery Head — you are closest to the client and will hear about new initiatives first
- Ensure knowledge transfer, documentation, and handover quality at every milestone and engagement close
- 8+ years in technical project management or delivery management in IT services or product engineering
- Strong technical background — can read code, understand architecture trade-offs, and have credible conversations with senior engineers and client architects
- Proven experience managing client relationships at IT head, product head, or senior architect level independently
- Has managed SOW-based engagements including scope change and commercial negotiation
- Comfortable facilitating difficult conversations — missed milestones, quality issues, scope disputes
- Familiarity with at least one domain: Data Engineering, Cloud, or AI/ML