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Wissen Infotech Linkedin · Posted 1mo ago

Product Manager - AI

Bengaluru, Karnataka, India

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Indexed description

Position: AI Product Manager

Location: Bangalore

Experience: 6 - 12 yrs

Work Mode: Hybrid


We are seeking a high‑caliber AI Product Manager to define and drive AI products . The goal of this role is to build world‑class AI‑enabled products that solve customer challenges across Energy, Sustainability, and Industrial Automation, leveraging a platform‑centric approach.


Ideal candidates will have 6-12 years of experience, strong product vision, customer‑centric thinking, and the ability to convert business opportunities into scalable AI‑powered offerings.


Key Responsibilities

  • Envision AI possibilities and identify opportunities through design thinking and interactions with global business stakeholders.
  • Collaborate with Global Functions, LoBs, and Customers to discover opportunities for enhancements and new AI products.
  • Assess competitive positioning of AI products and identify opportunities to strengthen differentiation.
  • Build and own the comprehensive roadmap for all AI products, including user experience and feature evolution.
  • Work closely with Agile squads to deliver sprints, demonstrate leadership, and represent the voice of the customer.
  • Define and manage Go‑To‑Market (GTM) plans for successful product launch and adoption.
  • Define and manage commercial aspects such as contracts and pricing models in collaboration with LoBs.
  • Manage partner ecosystem, system integrators, key technology providers, and complementary solution partners.
  • Drive product execution from concept to launch, ensuring readiness across engineering, business, and user adoption functions.
  • Engage cross‑functional internal teams to ensure alignment with strategic product vision and adoption goals.


Required Skills & Qualifications

  • Technical Experience:
  • Bachelor’s degree in Computer Science, Mathematics, or related quantitative field; Master’s in a technical area or Business Administration is a plus.
  • Experience in AI Product Management, preferably cloud/SaaS, with end‑to‑end ownership from concept to launch.
  • 6+ years of experience in Analytics & Information Management.
  • Strong understanding of product strategy and ability to define successful business models in complex environments.
  • Experience delivering AI solutions at scale, including at least two end‑to‑end deployments.
  • Experience working with global, matrixed teams and end‑to‑end product delivery processes.
  • Agile mindset and hands‑on experience with Scrum or Kanban.


  • Consulting Experience:
  • Proven track record in an IT consulting environment, engaging with large enterprises and MNCs in strategic data solutioning projects.
  • Strong stakeholder management, business needs assessment, and change management skills.


  • Leadership & Soft Skills:
  • Strong communication and executive presentation skills.
  • Ability to influence and align cross-functional teams and stakeholders.
  • Excellent communication, documentation, and presentation skills.
  • Strong problem-solving, analytical thinking, and strategic vision.


  • Educational Qualifications:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • Master’s degree in a technical field or Business Administration is a strong plus.


  • Preferred Certifications:
  • Product Management certification (AIPMM, Pragmatic Institute, or equivalent)
  • AI/ML foundational or practitioner certifications (AWS, Azure, or equivalent)
  • Agile Product Owner / Scrum certifications (CSPO, PSPO, etc.)


What We’re Looking For

  • Self-starters who are highly motivated, ambitious, and eager to challenge the status quo.
  • Builders who combine scientific rigor with pragmatic engineering and can balance accuracy, latency, and cost.
  • Effective leaders who collaborate openly, freely share knowledge and elevate team performance.
  • Straightforward, results-oriented individuals who value impact and accountability.
  • Adaptable experts who stay on top of fast-evolving AI technologies and practices.

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