About the role

The Technical Product Manager will lead the end-to-end delivery of large-scale AI and GenAI programs, including agentic workflows and ML platforms. They are responsible for stakeholder management, program governance, and ensuring adherence to Responsible AI standards and technical best practices.

What they look for

Technical Product Management GenAI LLM RAG Agentic Workflows ML Platforms Cloud-native Deployments AWS Azure GCP Stakeholder Management Agile Scrum SAFe Data Pipelines Responsible AI

Requirements

Candidates must have 3-6 years of experience in technology delivery and program management, with at least 5 years specifically managing AI/ML/GenAI programs at scale. A strong technical background in cloud platforms, LLMs, and data ecosystems is required, along with expertise in Agile delivery models.

Full description

Experience: 3–6 Years Location: India (Onsite/Hybrid)

Role Overview

We are seeking an experienced Technical Product Manager (TPM) to lead end-to-end delivery of large-scale AI/GenAI programs, including agentic workflows, ML platforms, and enterprise AI solutions. The role requires strong program governance, cross-functional leadership, and technical understanding of AI architectures.

Key Responsibilities 1. Stakeholder Management

Act as single point of contact for clients, leadership, and cross-functional teams

Drive alignment between product, engineering, data science, and business teams

2. Technical Program Ownership

Oversee design and delivery of:

GenAI / LLM-based solutions (RAG, agentic workflows)

Data pipelines, ML models, and AI platforms

Cloud-native deployments (AWS/Azure/GCP)

Ensure adherence to AI architecture, scalability, and best practices including governance and lifecycle management

3. Execution & Delivery Excellence

Manage multi-stream programs with distributed teams (Data Scientists, ML Engineers, AIOps, DevOps)

Track delivery against timelines, budget, and quality benchmarks

Proactively identify risks, dependencies, and mitigation plans

Drive Agile / Hybrid delivery models (Scrum, SAFe, etc.)

4. Team Leadership & Capability Building

Lead cross-functional teams and mentor program managers, leads, and engineers

Build AI delivery capability across areas such as GenAI, ML engineering, and data platforms

Drive continuous improvement, knowledge management, and best practices

5. Compliance & Responsible AI

Ensure adherence to Responsible AI standards, data privacy, and governance frameworks

Drive risk mitigation related to bias, hallucination, and model governance

Required Skills & Qualifications Experience

3-6 years of experience in technology delivery/program management

5+ years managing AI / ML / GenAI programs at scale

Technical Skills

Strong understanding of:

AI/ML lifecycle, & GenAI architectures

LLMs, RAG, agentic AI frameworks

Cloud platforms (AWS, Azure, GCP)

Experience with data ecosystems, APIs, and enterprise integrations

Product Management Skills

Proven experience managing large, multi-million-dollar programs

Expertise in governance frameworks, KPIs, dashboards, and reporting

Strong risk & dependency management

Leadership & Soft Skills

Excellent stakeholder management and executive communication

Strong problem-solving and decision-making abilities

Ability to operate in high-pressure, delivery-driven environments

Preferred Qualifications

PMP / PgMP / Agile certifications

Exposure to industries like BFSI, Insurance, or Healthcare