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Salary
≈ $26k – $60k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 17, 2026.

Overview
Company
Impact
Profile match
Tech Mahindra is an MNC provider of IT, networking, and BPO services to various verticals & horizontals. With 1.2 lakhs professionals across 90 countries, it is valued at US$4.7 Billion. Ranked #15 in Forbes Digital List.
Backed by Seafund

Job Description

  • Skill Set :

    AI / ML / DL

  • Total Experience :

    7.00 to 10.00 Years

  • No of Openings :

    1

  • Job Post Date :

    07/09/2026

  • Job Expiry Date :

    31/10/2026

  • Domain :

    IT

  • Location :

    BENGALURU [India]

  • Job Reference No :

    4105844

Job Summary

AI Product / Program Manager

Job Summary

The AI Product/Program Manager drives both AI product strategy and execution, translating customer needs, business priorities, and AI capabilities into scalable, production ready solutions. This role works across Engineering, Data Science, Business, Domain, and IT teams to define roadmaps, deliver programs, and ensure measurable business value through AI adoption.

Key Responsibilities

AI Product Strategy & Roadmap

Define AI product vision, requirements, use cases, and roadmap.

Build business cases linking AI initiatives to customer value, revenue growth, cost savings, and strategic goals.

Prioritize AI opportunities based on business impact, feasibility, data readiness, and time to value.

Manage the AI product lifecycle, including feature prioritization, releases, adoption, and retirement.

Program Management & Execution

Lead AI initiatives from planning through deployment and adoption.

Manage scope, schedule, budget, resources, risks, dependencies, and release readiness.

Track project performance using governance processes, dashboards, and reporting tools.

Ensure quality reviews, compliance, and stakeholder communication throughout execution.

Technical Leadership

Partner with Data Science, ML Engineering, Software, Data Platform, and Business teams to deliver solutions.

Define evaluation metrics and acceptance criteria for AI systems.

Drive production readiness, including MLOps, monitoring, model performance, drift management, and support processes.

Facilitate technical trade off discussions involving data pipelines, model architecture, and deployment strategies.

Customer & Market Insights

Gather Voice of Customer, field feedback, and competitive intelligence.

Identify customer pain points and convert them into actionable AI product opportunities.

Support executive and customer reviews with technical and business focused recommendations.

Recommend roadmap adjustments based on market and customer needs.

Cross Functional Leadership

Align stakeholders across Business Units, Engineering, IT, Services, and Operations.

Lead launch planning, change management, enablement, adoption tracking, and issue resolution.

Maintain documentation of decisions, assumptions, risks, dependencies, and success metrics.

Mentor team members and promote AI product and program management best practices.

Qualifications

Required

Bachelor's degree in Engineering, Computer Science, Data Science, or related field; advanced degree preferred.

8+ years of product management, program/project management, or technical delivery experience, including 2+ years in AI, ML, data, or analytics projects.

Proven delivery of AI/ML or data driven solutions with measurable business outcomes.

Strong knowledge of AI technologies, including data pipelines, model evaluation, LLMs, RAG, agents, deployment, and MLOps.

Experience in project planning, financial management, risk management, dependency tracking, and executive reporting.

Ability to translate technical concepts into business value and execution plans.

Excellent communication, stakeholder management, and influencing skills.

Preferred

Experience in semiconductor, manufacturing, automation, diagnostics, services, or industrial AI environments.

Knowledge of AI governance, data privacy, model risk management, and compliance requirements.

Experience with agentic AI tools, product lifecycle management, launch readiness, and service/product strategy.

Core Competencies

AI Product Strategy & Roadmapping

Program & Portfolio Management

Technical AI/ML Expertise

Business Acumen & Value Creation

Stakeholder Leadership & Influence

Problem Solving & Decision Making

Executive Communication & Change Management

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