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Arintra

Senior Product Manager

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Description

Responsibilities:

  • Define and own the product vision, strategy, and roadmap for AI/ML-powered B2B products.
  • Drive end-to-end product development from discovery and prioritization to execution, launch, and post-launch optimization.
  • Partner closely with engineering, data science, design, and business teams to build scalable and impactful products.
  • Translate complex customer, business, and technical requirements into clear product solutions.
  • Lead cross-functional teams to deliver products that create measurable business and customer impact.
  • Define product success metrics and leverage data-driven insights to guide decision-making.
  • Communicate product strategy, roadmap, priorities, and outcomes effectively to leadership and key stakeholders.
  • Evaluate emerging technologies, including AI/ML, GenAI, LLMs, and Agentic AI, and identify opportunities to apply them to product offerings.
  • Balance customer needs, business objectives, and technical constraints to make effective product decisions.


Requirements:

  • 8+ years of product management experience with ownership of product strategy, roadmap, and execution.
  • Minimum 3 years of experience building or managing AI/ML-powered products.
  • Minimum 3 years of experience working on B2B products.
  • Strong technical background.
  • Demonstrated ability to work effectively with engineering teams and understand technical trade-offs.
  • Proven experience defining product strategy and delivering successful products in fast-paced environments.
  • Strong analytical, problem-solving, and decision-making capabilities.
  • Excellent communication, presentation, stakeholder management, and storytelling skills.
  • Experience working at leading product companies and/or strong academic credentials from top-tier engineering institutions is preferred.
  • Exposure to GenAI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, or AI platform products is highly desirable.
  • Experience launching AI-powered products or features in production environments is a plus.
  • Ability to operate effectively in ambiguous environments and drive alignment across cross-functional stakeholders.

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