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Salary
$31k – $75k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Principal · 11+ years exp
Overview
Company
Impact
Profile match
DTDL (Digital Transformation and Data Analytics Solutions) is an Indian technology firm specializing in digital solutions, data management, and enterprise IT services. The company provides customized software development, cloud integration, and advanced analytics to help businesses optimize their operations and scale efficiently. Based in India, it serves as a digital transformation partner for organizations looking to leverage technology for business growth and modernization.

We are hiring a Group Product Manager - Agentic AI with strong experience in consumer-facing platforms to lead AI-driven product innovation at scale. The ideal candidate should have deep expertise in building B2C/D2C digital products and a strong understanding of GenAI, Agentic workflows, LLM ecosystems, and AI-native user experiences.

Responsibilities:

  • Define and drive product vision, roadmap, and execution for AI-powered consumer platforms.
  • Build next-generation AI experiences leveraging Agentic AI, LLMs, RAG architecture, and intelligent automation.
  • Partner closely with Engineering, AI/ML, Design, Data, and Business teams.
  • Lead the product lifecycle from concept to MVP production scale.
  • Drive customer engagement, personalization, retention, and platform growth using AI capabilities.
  • Own product strategy, prioritization, experimentation, and success metrics.
  • Identify and launch high-impact AI use cases across consumer journeys.
  • Translate complex AI capabilities into intuitive user experiences.

Requirements:

  • 11+ years of Product Management experience in product-based companies.
  • Strong experience in B2C/D2C or consumer-facing digital platforms.
  • Proven experience building AI/GenAI-powered products in production environments.
  • Strong understanding of: Agentic AI workflows, LLM ecosystems, RAG Architecture, AI orchestration frameworks, Prompt engineering and AI evaluation.
  • Experience working with cross-functional Engineering and AI teams at scale.
  • Strong analytical thinking, stakeholder management, and execution capabilities.
  • Excellent communication and product leadership skills.

Preferred Background:

  • Experience with conversational AI, AI assistants, recommendation systems, or personalization engines.
  • Exposure to LangChain, LangGraph, vector databases, and AI observability tools.
  • Experience scaling consumer products with large user bases.
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