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)
2. MBA/M.Tech. in Management, Systems Engineering, or Certification Product
Management preferred
3. Advanced degree (M.S./M.Tech.) in AI/ML, Computer Science, or related
quantitative field highly desirable
4. Certifications (Desirable): Product Management certifications (Certified Scrum
Product Owner, Product School AI PM Certification), AI/ML certifications
(DeepLearning.AI, Google AI Product Manager), Agile/SAFe Product Owner
certifications
Experience:
1. 8–12 years in product management with minimum 4–6 years in AI/ML or digital
transformation initiatives
2. 3–5 years in senior product management roles leading AI-powered products from
conception to market launch
3. 2–3 years managing cross-functional teams including data scientists, ML
engineers, and business stakeholders
4. 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
2. Lead product discovery, market research, and user research to identify citizen
pain points and opportunities for AI intervention across government departments
3. Translate complex business requirements and government use cases into
detailed product specifications, user stories, and acceptance criteria for technical
teams
4. Oversee complete product lifecycle from ideation through launch, adoption, and
continuous improvement for 8-10 concurrent AI initiatives
5. Manage cross-functional collaboration between AI/ML engineers, data scientists,
MLOps, UX designers, business analysts, and government stakeholders
ensuring alignment and timely delivery
6. Define and track key product metrics (KPIs, OKRs) including user adoption,
accuracy, response times, cost per transaction, and citizen satisfaction scores
7. Conduct competitive analysis of AI products in government sector, identify best
practices, and drive product differentiation strategies
8. Lead go-to-market planning including rollout strategy, change management,
training programs, and adoption campaigns for government employees and
citizens
9. Manage product budgets, resource allocation, vendor evaluation, and contract
negotiations for AI platform components
10. Knowledge of Responsible AI principles ensuring ethical AI deployment, bias
mitigation, transparency, and compliance with MeitY guidelines and data
protection regulations
11. Facilitate stakeholder reviews with government officials, executive leadership,
and department heads presenting product progress, metrics, and strategic
recommendations
12. 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)
2. 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)
3. Tools & Platforms: Advanced proficiency in Jira, Confluence, Azure DevOps,
Miro, Figma, product analytics platforms (Mixpanel, Amplitude), A/B testing tools
4. AI Product Lifecycle: Understanding of MLOps workflows, model deployment
pipelines, monitoring for drift and performance, continuous learning systems, and
production AI challenges
5. 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)
6. 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
7. Security & Compliance: Awareness of data classification, access control
protocols, information assurance standards, GDPR, Digital Personal Data
Protection Act, and MeitY Responsible AI guidelines
8. 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
9. 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
