Technical Project Manager

Roles & Responsibilities

As a Technical Project Manager (TPM), you will own end-to-end delivery of medium to complex SaaS / Data / GenAI

programs, ensuring alignment between business goals, architecture and execution.

This is not a coordination role - you are expected to bring technical depth, strong execution rigor and ownership to

drive high-quality, scalable, production-ready systems.

Key Responsibilities:

● Own successful end-to-end delivery from customer discovery through production go-live and hypercare,

balancing scope, quality, schedule, commercial objectives, and customer satisfaction.

● Own discovery workshops with customers and drive requirement clarification. Translate ambiguous customer

requirements into clear user stories, execution plans, and aligned technical direction.

● Manage change requests throughout the project lifecycle while ensuring scope control and stakeholder

alignment.

● Establish strong delivery governance, including sprint planning, tracking, release management, Definition of

Ready (DoR), Definition of Done (DoD), quality gates, and continuous improvement.

● Validate estimates, capacity plans, and project schedules to ensure realistic execution plans and optimal

resource utilization.

● Constantly evaluate scope vs. utilization and drive data-driven decisions to maximize delivery efficiency.

● Identify and proactively mitigate delivery, technical, resourcing, and commercial risks.

● Manage cross-team dependencies, remove blockers, and ensure smooth execution across engineering

teams.

● Act as the primary customer interface, managing expectations, communication, escalations, and aligning

delivery with business outcomes.

● Provide regular project and program status updates, delivery insights, and risk visibility to customers and

leadership.

● Participate in architecture discussions, validate high-level design decisions, and facilitate technical trade-offs

with engineering teams.

● Drive execution across backend, frontend, mobile, and data engineering teams while ensuring scalable,

reliable, and production-ready solutions.

● Demonstrate a working knowledge of modern engineering practices, including microservices, event-driven

architectures, CI/CD, DevOps, cloud platforms (AWS/Azure/GCP), and AI-assisted software development.

● Promote engineering excellence by encouraging observability (logging, monitoring, tracing), shift-left practices

(testing, security, automation), and AI-assisted development.

● Monitor engineering and delivery metrics, including sprint predictability, release quality, production stability,

defect trends, and customer satisfaction, to drive continuous improvement.

● Identify opportunities for delivery optimization, automation, account growth, and support solutioning and

pre-sales activities.

● Demonstrate strong resource planning capabilities and effectively build and manage project teams from

initiation to successful delivery.