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Salary
$32k – $65k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 6+ 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 looking for a Senior Product Manager with deep experience in AI or analytics products who can independently own complex product areas, drive cross-functional alignment, and lead the development of production-grade Agentic AI systems. You will be a key voice in shaping the AI product strategy and roadmap.

Responsibilities:

  • Own end-to-end product strategy and roadmap for Agentic AI platforms.
  • Lead discovery, definition, and delivery of complex AI-powered features.
  • Work with AI architects and engineers on RAG pipelines, multi-agent frameworks, and LLM integration.
  • Define and track evaluation metrics, accuracy, hallucination rates, latency, and user satisfaction.
  • Drive alignment across 3-5 stakeholder groups, including business, engineering, legal, and design.
  • Write detailed PRDs with HLD context, data flows, and edge case handling.
  • Define OKRs at the squad level with measurable key results.
  • Mentor junior PMs and contribute to PM practice building.
  • Conduct competitive analysis and stay current on Agentic AI trends.

Requirements:

  • 6-8 years of product management experience with at least 2 years on AI/ML or analytics products.
  • Background from analytics companies Mu Sigma, EXL, Fractal, Tiger Analytics, Tredence, LatentView, Quantiphi, TheMathCompany, AbsolutData, Sigmoid, Dunnhumby, ZS Associates, or Axtria.
  • Deep understanding of LLMs, RAG architectures, agent frameworks, and AI evaluation.
  • Strong experience with OKRs, roadmapping, and stakeholder management.
  • Proven ability to ship AI features end-to-end in production.
  • Excellent written and verbal communication skills.

Good to Have:

  • Hands-on experience with LangChain, LangGraph, LlamaIndex, or CrewAI.
  • Experience with prompt engineering and LLM evaluation tools like Ragas or LangSmith.
  • Exposure to vector databases, Pinecone, Weaviate, or pgvector.
  • Experience working with compliance and responsible AI frameworks.
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