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IBM Associate Product Manager 
India, Kerala, Kochi 
683841807

05.08.2024

Your Role and Responsibilities
IBM Data and AI invites applications for the role of Go-to-Market Product Manager to work from the Kochi (India) office and own initiatives across our Data and AI offerings on the Cloud Pak for Data team. This is a critical role that reaches across the Data and AI portfolio. In this role, you will be responsible for developing and nurturing Data and AI specific initiatives to drive synergy across portfolios, sales enablement, product-led growth, and more. This will include supporting sales and marketing initiatives to drive revenue growth for IBMs Data and AI offerings.

Responsibilities

  • Develop and execute initiatives that drive DAI portfolio offerings
    Collaborate with cross-functional teams and manage multiple stakeholder relationships
  • Project management to include tracking and ensuring meeting project deliverables
    Support sales and marketing Data and AI specific initiatives:
  • Drive sales enablement activities including for example developing and maintaining seismic pages and fielding incoming product specific requests.
  • Create demos, blog posts, articles, client facing assets and other relevant content demonstrating the power of IBMs Data and AI portfolio to drive revenue growth.


Required Technical and Professional Expertise

  • Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related field.
  • 2 to 4 years of experience in product management, preferably in the data and AI space.
  • Understanding of product roadmaps, end-to-end lifecycles, release cadence, and support.
  • Experience in customer-driven usability and hypothesis-driven experimentation.
  • A deep passion for innovation and creating data-backed solutions.
  • Demonstrated ability to communicate with multiple stakeholders effectively.


Preferred Technical and Professional Expertise

  • Familiarity with data platforms, AI solutions, and enterprise software.
  • Experience in product management, preferably in the data and AI space.