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Product Manager: DevOps Automation AI research and integrations

IBM

IBM

Software Engineering, Product, Data Science
Posted on Thursday, June 6, 2024
Introduction
A career in IBM Software means you’ll be part of a team that transforms our customers’ challenges into industry-leading solutions.

We are an infinitely curious team, always seeking new possibilities, and dedicated to creating the world’s leading AI-powered, cloud-native software solutions. Our renowned legacy creates endless global opportunities for our network of IBMers. We are a team of deep product experts, ensuring exceptional client experiences, with a focus on delivery, excellence, and obsession over customer outcomes.

IBM’s product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive.

Your Role and Responsibilities

Accountable for the research, design, integration and adoption of Watson X products, services, and foundation models, for IBM Application and Developer Services products and capabilities.
Work closely with product managers, researchers, clients, partners and others to discover AI opportunities that will help differentiate our solutions in the DevOps and software delivery market. Validate the opportunity and impact of implementation, then work with leadership to agree and prioritise projects to align with our overall product strategy.
Be responsible for coordinating with Product Managers, Developers, Partners, Go to Market and others to ensure the delivery and launch of prioritised AI integrations and solutions.
Support launch, go to market, partnership and sales activities, track adoption and communicate required changes that are most likely to have the greatest positive impact for the Application and Developer Services business.


Required Technical and Professional Expertise

Experience designing and delivering AI-infused solutions and integrating applications with different LLMs/foundation models.
Experience developing, customizing and tuning LLMs/foundation models.
> Strong experience coding in Python and Java.
> Strong experience product management
Hands on experience of the software development and delivery lifecycle using at least one of: IBM DevOps Automation, Azure DevOps, GitLab or Harness.


Preferred Technical and Professional Expertise
Degree in a related topic ie Software Engineering, AI or Data science.