Job Information
IBM Product Manager - DevOps Integrations in Dublin, Ireland
Introduction
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!
Your Role and Responsibilities
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:
Build cloud-cost DevOps Integration features in the product while collaborating with the engineering, documentation, and design teams.
Lead discovery sessions with customers and other stakeholders, to uncover requirements alongside design, user research and engineering.
Understand the customer requirements, and their relative priorities and map those out in systems of record, culminating in an engineering backlog of well-defined, high-quality, prioritized user stories that deliver solutions to meet and exceed stakeholder requirements. and drawing out and testing end-to-end solutions that meet customer expectations.
Act as a consultant and SME to various sales engineers and peers and help in understanding solutions and feature behavior for various business use cases.
Deliver technical presentations detailing the value proposition of features as well as including the entire software stack.
Collaborate with software architects to discuss potential solutions to customer problems.
Work closely with developers to identify any gaps between developed features and acceptance criteria, to investigate and resolve any technical issues.
Participate in most phases of the Product Development Life Cycle discovering, delivering, and launching solutions to help customers meet their business objectives.
Architect and implement methodologies and test approaches that validate features and ensure the accuracy of quality requirements.
Develop performance benchmarks, monitor feature usage & test the software deployments to establish performance baselines to meet response time & scalability requirements.
Use a combination of customer data and market research to prioritize new functionality into an aggressive roadmap that balances new functionality, improvements, and technical debt.
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, large enterprise customers, and executives.
Excellent communication and interpersonal skills.
Excellent analytical and quantitative skills; ability to use data and metrics to make recommendations.
Required Technical and Professional Expertise
At minimum 1-2 years of technical software product management experience
Possess strong communication and collaboration skills; ability to draw clarity out of complex and ever-changing environments.
Has product management background with software integrations settings and familiar with modern DevOps pipeline tooling such as Ansible, Terraform, GitOps, Harness, AWS CloudFormation, Azure Pipelines.
Preferred Technical and Professional Expertise
Combine creative thinking and analytics to develop a deep understanding of Turbonomic's business
Experience with user data to make product recommendations for the roadmap to improve feature engagement.
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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