Technical Program Manager (TPM)

Techversant; Ernakulam; On-site; INR 2,800,000 - 4,500,000; Full time

Job summary

Techversant is seeking an experienced Technical Program Manager to take end-to-end ownership of multiple concurrent software and technology projects. You will ensure successful delivery across technology, people, processes, client expectations, and commercials, with a strong engineering background.

You will lead cross-functional teams, drive Agile delivery, collaborate with architects, manage risks and budgets, and engage clients on technical matters.

Qualifications

• 8-14 years of software development/technology delivery experience.
• Minimum 5 years in Technical Project Management, Program Management, Delivery Management, or similar leadership roles.
• Proven experience managing multiple concurrent software projects and cross-functional engineering teams.
• Prior hands-on software development or strong technical engineering experience is highly preferred.
• Experience delivering AI/ML or GenAI-based projects will be a plus.
• Experience working with international clients, particularly North American, European, or Middle Eastern customers, is advantageous.
• Excellent client communication, stakeholder management, leadership, problem-solving, and decision-making skills.
• PMP/PRINCE2, Scrum/SAFe, AWS/Azure/GCP, ITIL, or similar certifications are advantageous but not mandatory.

Responsibilities

• Own the end-to-end delivery of multiple projects/programs, from requirements, estimation and planning through development, UAT, deployment, and support transition.
• Manage scope, timelines, resources, budgets, dependencies, risks, quality, and delivery commitments across concurrent projects.
• Work closely with Architects and Technical Leads on solution design, estimations, architecture, integrations, and technology decisions.
• Review and challenge technical approaches to ensure solutions are scalable, secure, maintainable, and aligned with business requirements.
• Lead cross-functional teams including Developers, Technical Leads, Architects, QA, DevOps, UI/UX, BA, AI/ML Engineers, and other specialists.
• Drive Agile/Scrum delivery, sprint/release planning, program governance, RAID management, and management reporting.
• Act as a key client interface for technical discussions, governance, status reviews, delivery commitments, and escalations.
• Proactively manage scope changes, delivery risks, dependencies, resource constraints, and client escalations.
• Monitor project/program financials including planned vs. actual effort, resource utilization, billing milestones, budgets, and delivery margins.
• Ensure adherence to engineering practices including code reviews, CI/CD, testing, security, documentation, release management, and production readiness.
• Support pre-sales activities including requirement analysis, solution discussions, estimations, resource planning, SOWs, and technical proposals.
• Mentor Project Managers, Technical Leads, and senior team members while driving accountability, delivery discipline, and continuous improvement.

Skills

Technical Program Management

Delivery leadership

Cross-functional leadership

Agile/Scrum

Architectural understanding

AI/ML exposure

Cloud platforms (AWS/Azure/GCP)

Client engagement

Estimation & planning

Risk management

Tools

Java

.NET

Python

Node.js

React

Angular

Vue

CI/CD

Docker

Kubernetes

OpenAI API

Job description

Technical Program Manager (TPM)

We are looking for an experienced Technical Program Manager (TPM) to take end-to- end ownership of multiple concurrent software and technology projects, ensuring successful delivery across technology, people, processes, client expectations, and commercials.This is a technically driven program and delivery leadership role, not purely project coordination. The ideal candidate should have a strong software engineering/technical background, sound understanding of modern application architecture and cloud technologies, and proven experience managing multiple projects, cross-functional teams, and client engagements. Experience in AI/ML, Generative AI, LLM, Agentic AI, or AI-enabled project delivery will be an added advantage.

Key Responsibilities

• Own the end-to-end delivery of multiple projects/programs, from requirements, estimation and planning through development, UAT, deployment, and support transition.
• Manage scope, timelines, resources, budgets, dependencies, risks, quality, and delivery commitments across concurrent projects.
• Work closely with Architects and Technical Leads on solution design, estimations, architecture, integrations, and technology decisions.
• Review and challenge technical approaches to ensure solutions are scalable,secure, maintainable, and aligned with business requirements.
• Lead cross-functional teams including Developers, Technical Leads, Architects,QA, DevOps, UI/UX, BA, AI/ML Engineers, and other specialists.
• Drive Agile/Scrum delivery, sprint/release planning, program governance, RAID management, and management reporting.
• Act as a key client interface for technical discussions, governance, status reviews, delivery commitments, and escalations.
• Proactively manage scope changes, delivery risks, dependencies, resource constraints, and client escalations.
• Monitor project/program financials including planned vs. actual effort, resource utilization, billing milestones, budgets, and delivery margins.
• Ensure adherence to engineering practices including code reviews, CI/CD,testing, security, documentation, release management, and production readiness.
• Support pre-sales activities including requirement analysis, solution discussions, estimations, resource planning, SOWs, and technical proposals.
• Mentor Project Managers, Technical Leads, and senior team members while driving accountability, delivery discipline, and continuous improvement.

Technical Competencies

The candidate is not expected to code on a daily basis, but must be technically strong enough to understand, evaluate, and challenge engineering decisions.

Strong understanding of:

• Modern software development lifecycle and engineering practices
• Web and enterprise application architecture
• APIs, microservices, system integrations, and databases
• Cloud platforms such as AWS, Azure, or GCP
• DevOps, CI/CD, Git, containerization, and deployment processes
• Application security, performance, scalability, and production monitoring
• Agile/Scrum methodologies
• Exposure to AI/ML, Generative AI, LLMs, RAG, Agentic AI, or AI-based solution delivery is an advantage
• Familiarity with AI tools, platforms, APIs, or frameworks such as OpenAI/Azure OpenAI, Gemini, Claude, LangChain, LlamaIndex, Hugging Face, or similar technologies is an added advantage
• Experience with technology stacks such as Java, .NET, Python, Node.js, PHP, ColdFusion, React, Angular, Vue, mobile technologies, or similar enterprise stacks will be advantageous.

Required Experience Skills

• 8-14 years of overall experience in software development/technology delivery.
• Minimum 5 years in Technical Project Management, Program Management, Delivery Management, or similar leadership roles.
• Proven experience managing multiple concurrent software projects and cross-functional engineering teams.
• Prior hands‑on software development or strong technical engineering experience is highly preferred.
• Experience delivering medium‑to‑large projects for external/enterprise clients.
• Strong understanding of estimation, resource planning, project financials, utilization, and delivery margins.
• Experience delivering AI/ML or GenAI-based projects will be a plus.
• Experience working with international clients, particularly North American, European, or Middle Eastern customers, is advantageous.
• Excellent client communication, stakeholder management, leadership,problem‑solving, and decision‑making skills.
• PMP/PRINCE2, Scrum/SAFe, AWS/Azure/GCP, ITIL, or similar certifications are advantageous but not mandatory.

Success Measures

Success will be measured through on‑time and within‑budget delivery across projects, project quality, client satisfaction, resource utilization, estimation accuracy, delivery margins, risk management, reduced escalations, team performance, and repeat business/account growth.

Ideal Candidate

A technically grounded program and delivery leader who can comfortably move between multiple project priorities, client discussions, architecture reviews, sprint/release planning, resource challenges, commercial concerns, and escalations.

The ideal candidate should be able to ask engineering teams the right technical questions, communicate complex issues to clients in business language, make practical delivery decisions, and take clear ownership of overall program and delivery outcomes.