AI Product Manager

Intellect Design Arena·Chennai·Onsite

Senior Product ManagerAIFintechSaaS

Experience

6–12 years

Employment

Full Time

Work mode

Onsite

Level

Senior Product Manager

Location

Chennai

Posted

2 weeks ago

About the role

We’re Hiring | AI Product Manager – Purple Fabric (Intellect)

Job Title: AI Product Manager

Business Unit: Purple Fabric (PF)

Experience: 6–12 Years

Job Location: Chennai, India

Employment Type: Full-time

Work Model: On-site

About Purple Fabric

Purple Fabric is Intellect's enterprise AI and decisioning platform, designed to help organizations build, orchestrate, govern, and scale AI-powered solutions. The platform enables enterprises to leverage Agentic AI, intelligent automation, and data-driven decisioning to solve complex business challenges while ensuring security, governance, explainability, and scalability.

We are looking for an experienced and outcome-driven AI Product Manager to drive product strategy, roadmap, and execution for Purple Fabric. The ideal candidate will combine strong product management fundamentals with a practical understanding of Generative AI, Agentic AI, LLMs, and enterprise AI applications.

What you'll do

As an AI Product Manager, you will own the product lifecycle from discovery and conceptualization to development, launch, and continuous improvement. You will work closely with engineering, AI/ML, design, architecture, presales, and business teams to translate customer needs into scalable AI product capabilities.
The role requires someone who can demonstrate 0→1 product creation and 1→N product scaling, with the ability to define product direction, prioritize high-impact use cases, and deliver measurable business outcomes.
1. Product Strategy and Roadmap
Define and execute the product vision, strategy, and roadmap aligned with Purple Fabric's business objectives.
Identify enterprise AI opportunities, customer pain points, and market trends to shape product priorities.
Translate business strategy into product requirements, release plans, and measurable outcomes.
Drive product development from concept to launch and scale successful capabilities across customer segments.
2. AI and Agentic AI Product Management
Define product capabilities involving Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and agent orchestration.
Identify and prioritize enterprise use cases for AI-powered workflows, intelligent automation, and decision support.
Work with AI/ML and engineering teams to define agent workflows, tool integrations, context management, and human-in-the-loop controls.
Understand AI evaluation methods, including accuracy, relevance, groundedness, latency, cost, and reliability.

What you'll bring

6–12 years of overall experience, with substantial experience in product management for technology products.
Demonstrated experience owning and delivering AI-powered products or enterprise software products with meaningful AI capabilities.
Strong understanding of Generative AI, LLMs, RAG, AI agents, and Agentic AI architectures.
Proven experience in building products from 0→1 and scaling products from 1→N.
Experience translating customer and business requirements into product strategy, roadmaps, PRDs, and prioritized backlogs.
Understanding of AI evaluation, model performance, hallucination mitigation, guardrails, and responsible AI practices.
Strong analytical, problem-solving, prioritization, and decision-making skills.
Excellent communication, stakeholder management, and cross-functional collaboration skills.
Ability to work effectively with technical teams while translating complex AI concepts into business value.
Experience with enterprise AI platforms, AI orchestration frameworks, agentic workflows, or AI-powered SaaS products.
Exposure to cloud-native platforms, APIs, microservices, enterprise integrations, and data platforms.
Experience in financial services, banking, payments, lending, fraud detection, or other regulated industries.