Senior Product Manager - Agentic AI SaaS Platform

Experience Required: 10+ Years (Senior Level)

Engagement Type: Full-Time Dedicated Resource

Location: India (Remote / Hybrid - Delhi NCR preferred)

Availability: Immediate / Within 30 Days

Reporting To: CEO / VP of Product

IntraIntel.AI is building a next-generation, multi-tenant, enterprise-grade Agentic AI SaaS platform that enables organizations to deploy AI securely and intelligently across healthcare, clinical trials, finance, manufacturing, pharmaceutical, cybersecurity, and government sectors.

Our core philosophy: Your Data. Your AI. Your Way.

We do not provide fragmented AI tools. We build a unified AI platform that:

• Keeps enterprise data within the customer environment

• Integrates securely with enterprise internal data sources (databases, EMR/EHR, SharePoint, APIs)

• Deploys AI agents securely on top of existing systems

• Converts complex workflows into intelligent, automated AI agents

• Supports voice agents, WhatsApp agents, chatbots, and RAG-based systems

• Ensures compliance (SOC 2, HIPAA-aligned, regulated industries)

• Builds governance and security into the architecture

We are seeking a senior-level product leader to drive product strategy, define roadmaps, and ensure execution excellence for our Agentic AI platform.

The ideal candidate:

• Has deep experience leading B2B SaaS products at scale

• Has worked with AI / ML / LLM-based products (mandatory)

• Can drive cross-functional execution in a fast-paced startup environment

• Can convert enterprise workflows into structured product roadmaps

• Is comfortable working with engineering, AI architects, solution architects, and customer stakeholders

• Understands multi-tenant SaaS architecture and data isolation strategies

Important: This is a direction-setting leadership role, not a junior execution PM position.

• Define and own the product vision for the Agentic AI SaaS platform

• Translate enterprise customer requirements into structured product initiatives

• Align roadmap with company strategy, revenue goals, and market opportunities

• Define MVP vs enterprise-grade release priorities

• Drive product differentiation in the competitive AI platform landscape

• Balance build vs buy vs partner decisions for platform capabilities

Work directly with:

○ Enterprise customers across industries

○ Government stakeholders

○ Healthcare / clinical leadership

○ Finance, manufacturing, and pharmaceutical clients

○ Internal solution architects and AI engineering teams

• Conduct deep discovery sessions to understand business processes and pain points

Convert complex business processes into:

○ User stories and Epics

○ Acceptance criteria

○ Functional and non-functional requirements

○ Technical specifications for AI agent development

• Document all requirements in JIRA and drive Agile sprint planning

The candidate must understand:

• Generative AI and Large Language Models (LLMs)

• LLM-based workflows and prompt engineering concepts

• Retrieval-Augmented Generation (RAG) architecture and pipelines

• AI agent orchestration and multi-agent systems

• Vector databases and semantic search (FAISS, Pinecone, Weaviate, Chroma)

• Multi-tenant SaaS architecture and data isolation

• Voice AI, WhatsApp agents, and enterprise chatbot platforms

The Product Manager must be able to:

• Convert enterprise-level functionalities into AI agent requirements

• Understand the difference between rule-based automation vs AI-driven reasoning

• Drive iteration cycles based on model performance and user feedback

• Define success metrics for AI agent performance and business outcomes

Provide direction to:

○ AI developers and ML engineers

○ Solution architects

○ Full-stack engineers

○ Security and compliance teams

○ Sales engineering teams

• Coordinate product, engineering, and delivery teams

• Remove blockers and maintain sprint velocity

• Lead sprint reviews, roadmap reviews, and product demos

• Drive alignment between business objectives and technical execution