This is for Govt of India . National e-Governance related project

Designation: Product Manager(AI)

How to apply? :

Use our internal tool careerplan where there are couple of screening steps including an optional AI interview (No auto rejections whatsoever).

https://app.careerplan.app/#/a/HWOXYOElIQfw?jt=Programme%20Manager%2F%20Product%20Manager%20%28AI%29&cpReturnUrl;=%2Fjob&job;_reference_id=TC-JOB-20260901-A4E6IL

Educational Qualification

1. B.Tech./B.E. in Computer Science, Information Technology, Data Science, or

related technical fields;(Must have)
1. MBA/M.Tech. in Management, Systems Engineering, or Certification Product

Management preferred
1. Advanced degree (M.S./M.Tech.) in AI/ML, Computer Science, or related

quantitative field highly desirable
1. Certifications (Desirable): Product Management certifications (Certified Scrum

Product Owner, Product School AI PM Certification), AI/ML certifications (DeepLearning.AI, Google AI Product Manager), Agile/Protected Product Owner certifications

Experience

1. 8–12 years in product management with minimum 4–6 years in AI/ML or digital

transformation initiatives
1. 3–5 years in senior product management roles leading AI-powered products from

conception to market launch
1. 2–3 years managing cross-functional teams including data scientists, ML

engineers, and business stakeholders
1. Proven track record delivering enterprise-grade AI products serving 100K+ users

with measurable business impact

Key Responsibilities

1. Define and own the end-to-end product vision, strategy, and roadmap for AIdriven

government services including conversational AI, document processing, voice-enabled systems, and citizen service automation aligned with Digital India goals and organizational objectives
1. Lead product discovery, market research, and user research to identify citizen

pain points and opportunities for AI intervention across government departments
1. Translate complex business requirements and government use cases into





detailed product specifications, user stories, and acceptance criteria for technical teams
1. Oversee complete product lifecycle from ideation through launch, adoption, and

continuous improvement for 8-10 concurrent AI initiatives
1. Manage cross-functional collaboration between AI/ML engineers, data scientists,

MLOps, UX designers, business analysts, and government stakeholders ensuring alignment and timely delivery
1. Define and track key product metrics (KPIs, OKRs) including user adoption,

accuracy, response times, cost per transaction, and citizen satisfaction scores
1. Conduct competitive analysis of AI products in government sector, identify best

practices, and drive product differentiation strategies
1. Lead go-to-market planning including rollout strategy, change management,

training programs, and adoption campaigns for government employees and citizens
1. Manage product budgets, resource allocation, vendor evaluation, and contract

negotiations for AI platform components
1. Knowledge of Responsible AI principles ensuring ethical AI deployment, bias

mitigation, transparency, and compliance with MeitY guidelines and data protection regulations
1. Facilitate stakeholder reviews with government officials, executive leadership,

and department heads presenting product progress, metrics, and strategic recommendations
1. Drive product innovation through experimentation with emerging AI technologies

(LLMs, multimodal AI, agentic systems) evaluating feasibility for government applications

Technical Competencies

1. AI/ML Understanding: Solid grasp of machine learning fundamentals, neural

networks, LLMs, NLP,



computer vision, model training, inference, evaluation metrics, and AI development lifecycle (not required to code but must understand technical tradeoffs)
1. Product Management: Expert proficiency in Agile, Scrum, SAFe methodologies,

product discovery frameworks (Design Thinking, Jobs-to-be-Done), roadmap planning, backlog prioritization (MoSCoW, RICE, Kano model)
1. Tools & Platforms: Advanced proficiency in Jira, Confluence, Azure DevOps,

Miro, Figma, product analytics platforms (Mixpanel, Amplitude), A/B testing tools
1. AI Product Lifecycle: Understanding of MLOps workflows, model deployment

pipelines, monitoring for drift and performance, continuous learning systems, and production AI challenges
1. Data Fluency: Ability to work with data scientists on data requirements, feature

engineering, training data quality, and interpret model performance metrics (accuracy, precision, recall, F1-score)
1. Technology Stack: Familiarity with cloud AI services (AWS Bedrock, Azure

OpenAI, Google Vertex AI), conversational AI platforms, RAG architectures, voice processing systems, and API-based integrations
1. Security & Compliance: Awareness of data classification, access control

protocols, information assurance standards, GDPR, Digital Personal Data Protection Act, and MeitY Responsible AI guidelines
1. Analytics & Metrics: Strong analytical skills using SQL, Excel, data visualization

tools (Tableau, Power BI) for product analytics, cohort analysis, funnel optimization, and business impact measurement
1. Communication: Exceptional stakeholder management, executive presentation

skills, ability to translate technical AI concepts for non-technical audiences, and facilitate alignment across diverse teams Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Application Question(s)

- Do you have any offer ?
- What is your expected CTC?

Work Location: Hybrid remote in Bengaluru, Karnataka 560000

📌 Technical Program Manager - AI (Bengaluru)
🏢 Manomaya AI Systems
📍 Bengaluru