Job Information
IBM Product Manager Turbonomic in Mulhuddart, Ireland
Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
At Turbonomic, an IBM company, we deliver a best-in-class automation platform that helps customers safely free capacity, both human and budget, to focus on IT innovation. Turbonomic's Application Resource Management (ARM) platform continuously assures that the full application stack has precisely the right resources needed to perform, while maintaining policy compliance and eliminating overspending.
Today's IT organizations are under tremendous pressure to deliver applications and services faster with greater efficiency. At Turbonomic, we believe these IT organizations cannot meet the needs of their business with a collection of 'tools' that produce information for humans to consume and humans to use. IT Operations must transform by adopting a full-stack automation platform that can assure the performance of any application in any environment: Turbonomic. Join our team and help us transform IT!
The Turbonomic Product Management team is accountable to numerous stakeholders including customers, partners, sellers, enablement, support, etc. globally. Our team needs to make sure we continuously provide these stakeholders with the exact strategy and content needed to facilitate sales, unlock new paths to market, ensure renewals, establish our presence in the market and support existing customers. This position will be responsible for planning, overseeing, and executing the strategy used by the Product Management team to deliver all of this to our stakeholders. You'll have the vision, execute against it, and measure and analyze results every step of the way to ensure success, make data-informed decisions, and continuously improve your and the team's efforts.
What you'll do:
*Focused on GTM data analytics and product growth while collaborating with the engineering, documentation, and design teams.
*Act as a consultant and SME to IBM leaders and peers and help in understanding solutions and feature behavior for various business use cases.
*Deliver technical presentations detailing value proposition of features as well as including the entire software stack.
*Interface with the market, customers, and prospects to understand pain points and opportunities for innovation
*Work across Delivery consultants, Sales, Support and Marketing to gather feedback and clarify product capabilities and strategy.
*Ensure field teams have the content and context necessary to help customers leverage all functionality (new and existing) in your defined area.
*Maintain a current understanding of industry and technology trends.
What you'll bring:
*A customer-centric focus on how to deliver business value with a keen understanding of the IT enterprise ecosystem.
*Enjoy working with highly technical customers and team members.
*Proven ability to work with sales and sales engineering teams.
*Proven ability to work with development teams.
*Proven ability to work with large enterprise customers and executives.
*Demonstrated ability to work independently.
*Excellent communication and interpersonal skills.
*Excellent analytical and quantitative skills; ability to use data and metrics to make recommendations and measure success.
Required Technical and Professional Expertise
A minimum of 3 years of experience in product management, preferably focusing on application development / modernization solutions
Proficient in product management principles, including market analysis, product roadmap development, feature prioritization, and stakeholder management.
Proven track record of successfully launching and managing products from concept to launch.
Ability to understand customer needs, gather feedback, and incorporate customer insights into the development and enhancement of application modernization solutions to ensure customer satisfaction.
Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and articulate the value proposition of compilation technologies, communicate product requirements, and effectively engage with stakeholders at all levels.
Strong leadership skills to inspire and motivate cross-functional teams, drive collaboration, and foster a culture of innovation and continuous improvement.
Experience working in an agile development environment.
Preferred Technical and Professional Expertise
Combine creative thinking and analytics to develop a deep understanding of Turbonomic's business
Understand the complexity of multiple stakeholders (our target personas) across the buyer journey and use that knowledge to created tailored programs
Have solid organizational skills, be strategic in your thought processes, and structured in your execution.
About Business UnitIBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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