Position: AI Product Manager
Department: AI Division
Experience: 4-8 Years
Location: Onsite (Ahmedabad)
About the Role:
- We are seeking an AI Product Manager who can lead the development of GenAI-powered products, internal AI tools, automation platforms, and client-facing AI solutions.
- This role is ideal for someone who understands how modern AI products are built using LLMs, agents, automation workflows, APIs, data sources, and secure system design. The person should be able to convert business problems into clear AI product requirements, work closely with engineering teams, and ensure products are practical, secure, scalable, and valuable for end users.
- As an AI Product Manager, you will bridge the gap between business needs, client expectations, and technical execution. You will work with AI Engineers, Automation Engineers, Designers, and stakeholders to define product strategy, create clear requirements, manage delivery, and ensure strong product outcomes.
- Key Responsibilities:
Product Strategy & Vision
- Define and own the product vision, roadmap, and strategic direction for AI-powered products.
- Translate business goals into clear AI product initiatives.
- Identify business problems, manual workflows, and operational gaps that can be solved using GenAI, automation, and intelligent assistants.
- Prioritize product ideas based on business value, feasibility, user impact, security, and scalability.
GenAI Product Development
- Work closely with AI Engineers and Automation Engineers to design, build, and launch GenAI-based products.
- Define product requirements for AI assistants, workflow automation, document intelligence, chat interfaces, knowledge systems, and agent-based solutions.
- Collaborate with technical teams on LLM selection, prompt workflows, RAG-based systems, APIs, integrations, and data flows.
- Define success metrics such as accuracy, response quality, latency, reliability, user adoption, cost, and business impact.
- Review AI outputs and help define acceptance criteria for quality, safety, and usability.
Security, Governance & Responsible AI
- Ensure AI products follow proper security, privacy, and data-handling practices.
- Work with teams to define guardrails for sensitive data, client data, access control, and user permissions.
- Help evaluate risks related to hallucination, incorrect outputs, data leakage, prompt injection, and misuse of AI systems.
- Ensure AI features include proper human review, fallback handling, auditability, and responsible AI principles where required.
- Collaborate with engineering teams to design secure workflows for third-party tools, APIs, cloud platforms, and LLM providers.
Technical Product Leadership