Job Description: Technical Project Manager Department: Technology / Engineering Experience: 4–7 years overall IT experience (3+ years in Technical Project / Delivery Management) Employment Type: Full-Time Location: Indore | On-site About the Role We are looking for an experienced Technical Project Manager to own end-to-end delivery of complex software and AI-enabled technology projects. You will act as the bridge between business stakeholders, product, and engineering — driving Agile delivery while staying technically fluent enough to engage in architecture, dependency, and risk conversations with developers, architects, and DevOps teams. This role suits someone who can plan and govern delivery with rigor while genuinely understanding the technology being built. Key Responsibilities Project Planning & Delivery Own projects from initiation through development, testing, deployment, and production handover. Define scope, milestones, timelines, and resourcing; maintain project and release plans. Track progress against scope, quality, and timeline commitments; manage scope changes through proper impact assessment and approval. Identify and resolve risks, issues, and dependencies proactively. Agile & Delivery Management Drive Agile/Scrum ceremonies — sprint planning, stand-ups, backlog refinement, reviews, and retrospectives. Translate business requirements into clear technical requirements and user stories alongside Product/BA teams. Monitor sprint velocity, capacity, and delivery commitments; ensure clean release and change management. Technical Leadership Participate in architecture and technical discussions covering APIs, databases, cloud infrastructure, integrations, and security. Coordinate dependencies across frontend, backend, data, AI, and infrastructure teams. Translate technical complexity into clear, business-friendly status updates for leadership and stakeholders. Stakeholder & Team Coordination Serve as the primary point of coordination between business, product, and engineering. Manage communication with senior stakeholders; provide regular, transparent status reporting. Remove blockers, manage escalations, and keep cross-functional teams aligned to objectives. Governance & Reporting Maintain project documentation, RAID logs, and delivery dashboards in Jira/Confluence (or equivalent). Report on milestones, risks, resource utilization, and quality metrics. Define and track delivery KPIs; run project health checks and corrective actions as needed. Required Skills & Experience Bachelor's degree in Computer Science, IT, Engineering, or a related field (Master's a plus). 4–7 years in software/technology environments, with 3+ years managing technical software projects end-to-end. Strong grasp of SDLC, software architecture, REST APIs, microservices, databases, and cloud platforms (Azure and/or AWS). Working knowledge of CI/CD, DevOps practices, monitoring/observability, and authentication & access concepts (OAuth 2.0, RBAC). Practical exposure to modern web stacks (e.g., React/Next.js, Node.js) and integration ecosystems (M365, Google Workspace, CRM platforms, third-party APIs) — enough to understand technical trade-offs, not necessarily hands-on coding. Working understanding of AI/GenAI concepts — LLMs, RAG, and AI agent workflows — and how they factor into delivery risk and planning. Proven Agile/Scrum project management experience with cross-functional engineering teams. Hands-on experience with project tools such as Jira, Confluence, Azure DevOps, or MS Project. Excellent stakeholder management, communication, and problem-solving skills. Preferred Qualifications PMP / PMI-ACP / CSM / SAFe certification. Experience delivering SaaS, enterprise software, or AI/GenAI-enabled products. Experience with cloud migration, cloud-native applications, or DevSecOps practices. Prior hands-on background as a Developer, Tech Lead, or Solution Architect. Experience working with distributed/global teams. Key Competencies Technical leadership Ownership & accountability Strategic and analytical thinking Risk management Stakeholder management Clear communication Decision-making under ambiguity Execution focus Success Measures On-time, in-scope project and release delivery. Predictable sprint execution and low delivery blockers/escalations. Strong stakeholder satisfaction and communication quality. Successful production releases and smooth handovers. Effective delivery of AI-enabled capabilities within governance and security standards.
