AI Product Manager (India)

AI Product Manager (India)

06 Nov
|
Spark Tech Wave Innovation
|
India

06 Nov

Spark Tech Wave Innovation

India

Job Opening: AI Product Manager

Company: Spark Techwave Innovationz Pvt Ltd
Job Title: AI Product Manager
Experience: 37 Years (with relevant AI/ML product experience preferred)
Location: Chennai, Tamil Nadu
Employment Type: Full-Time
Work Mode: Work From Office / Hybrid, as applicable
Department: Product Management / Artificial Intelligence

Job Summary

Spark Techwave Innovationz Pvt Ltd is looking for an innovative and results-oriented AI Product Manager to define, develop, and manage AI-powered products and solutions. The ideal candidate will bridge the gap between business objectives, customer needs, data science, and engineering teams to deliver scalable, reliable, and user-focused AI products.

The candidate should understand product management fundamentals and have working knowledge of Artificial Intelligence, Machine Learning, Generative AI, and the product development lifecycle.

Roles & Responsibilities

- Define product vision, strategy, roadmap, and priorities for AI-powered products.
- Gather customer requirements, analyze business needs, and identify opportunities for AI-driven solutions.
- Translate business requirements into product specifications, user stories, and acceptance criteria.
- Collaborate with AI/ML engineers, data scientists, software developers, designers, and business stakeholders.
- Identify appropriate AI/ML approaches based on business problems, feasibility, cost, and expected outcomes.
- Manage the product lifecycle from ideation and discovery to development, launch, and continuous improvement.
- Define product success metrics, KPIs, and performance indicators.
- Prioritize product features using business value, customer impact, and technical feasibility.
- Work with teams developing Generative AI and Large Language Model (LLM)-based applications.
- Evaluate AI model performance, accuracy, latency, reliability,



and user experience with technical teams.
- Understand risks associated with AI, including bias, privacy, security, hallucinations, and responsible AI practices.
- Coordinate product releases, user acceptance testing, stakeholder reviews, and feedback collection.
- Conduct market research, competitor analysis, and product performance reviews.
- Communicate product roadmaps, progress, risks, and business outcomes to stakeholders.

Required Skills

1. Product Management

- Product Strategy and Roadmap
- Product Discovery
- Requirement Gathering
- Product Lifecycle Management
- Agile / Scrum
- User Stories and Acceptance Criteria
- Prioritization Frameworks
- Stakeholder Management

2. Artificial Intelligence & Machine Learning

- AI/ML fundamentals
- Supervised and Unsupervised Learning concepts
- Model Training and Evaluation fundamentals
- Natural Language Processing (NLP)
- Data Quality and Feature Engineering concepts
- AI product use-case evaluation

3. Generative AI

- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and Vector Databases
- AI APIs and Model Integration
- Evaluation of AI-generated outputs

4. Product Analytics & Metrics

- Product KPIs
- User Engagement and Adoption
- Conversion and Retention Metrics
- A/B Testing
- Data-Driven Decision Making
- Tools such as Mixpanel, Amplitude, Google Analytics, or Power BI

5. Technical Understanding

- REST APIs
- Basic SQL
- Cloud platforms such as AWS, Azure, or GCP
- Data pipelines and databases




- Software development lifecycle
- Basic understanding of system architecture

6. Product & Collaboration Tools

- Jira
- Confluence
- Figma
- Miro
- Product roadmap and backlog management tools

Required Key Skills

- Robust analytical and problem-solving abilities.
- Excellent communication and presentation skills.
- Ability to translate complex technical concepts into business value.
- Customer-focused product thinking.
- Strong prioritization and decision-making skills.
- Ability to work with cross-functional teams.
- Comfort working in an evolving AI technology environment.
- Ability to balance innovation, feasibility, cost, and business impact.

Educational Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Business Administration, or a related discipline.
- Relevant experience in product management, software products, AI/ML products, or technology consulting.
- Experience launching or managing AI-powered products is preferred.

Preferred Qualifications

- Experience with Generative AI or LLM-powered products.
- Experience working with AI/ML engineering and data science teams.
- Knowledge of responsible AI, data privacy, and AI governance.
- Product management certifications are an advantage.
- Experience with B2B SaaS or enterprise software products is preferred.

Selection Process

1. Resume screening
2. Product management and AI fundamentals assessment
3. Product case study or problem-solving round
4. Cross-functional stakeholder interview
5. HR discussion

How to Apply

Interested candidates can share their updated resume with the recruitment team.

Send your resume at [email protected]

Join Spark Techwave Innovationz Pvt Ltd and help build innovative AI-powered products that solve real-world business problems.

📌 AI Product Manager (India)
🏢 Spark Tech Wave Innovation
📍 India

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