דרושים Product Manager-sustainability Software-energy Utilities ב-Ibm ב-אירלנד

• Provide expert-level product support for IBM customers across the globe
• Troubleshoot, diagnose, and resolve escalated technical issues from customers.
• Perform root cause analysis and implement long-term solutions for recurring issues.
• Develop and maintain technical documentation, processes, and troubleshooting guides.
• Collaborate with multiple Development squads, SRE, and Support Engineer teams to resolve complex technical issues.
• Provide mentoring and training to support engineers (L2).

Act as a subject matter expert for specific technologies or systems related to the product.

Required Professional and Technical Expertise

• Strong experience as a non-spring boot Java developer.
• Experience with troubleshooting software, and network issues.
• Hands on coding experience with Java, NodeJS and Python.
• Proficiency in SQL, Linux, Kubernetes, OpenShift
• Excellent communication skills to interact with stakeholders and report on technical issues clearly.
• Strong analytical and problem-solving skills.
• Ability to work independently and manage multiple tasks simultaneously.

• Demonstrated Java backend coding experience without using Spring Boot.
• Demonstrated excellence in problem-solving, with the ability to tackle complex issues and find effective solutions
• Strong knowledge of Integration technologies, cloud computing, Software Development methodologies
• Knowledge of Agile methodology
• Prior experience in a customer-facing debugging, troubleshooting/etc role.

In this role, you’ll provide both technical leadership and strategic direction, ensuring your team delivers innovative, production-grade AI features that help global enterprises optimize their cloud and IT investments. You’ll act as a bridge between data science, software engineering, and product management—driving execution while fostering a collaborative, high-performance culture.

• Lead, mentor, and grow a multidisciplinary team of data scientists, ML engineers, and software developers
• Define technical direction, set priorities, and drive successful execution of AI/ML projects within the product suite
• Collaborate with product and design teams to shape intelligent, customer-focused solutions
• Oversee the full AI/ML development lifecycle, from research and prototyping to scalable deployment and monitoring
• Promote best practices in machine learning engineering, MLOps, and cloud-native software development
• Foster a culture of innovation, ownership, and continuous improvement
• Communicate strategy, progress, and impact to stakeholders across the organization

• Demonstrated experience in data science, software engineering, or applied ML, with at least 2 years in a technical leadership or management role
• Proven experience delivering AI/ML-powered features in a production environment
• Strong technical foundation in machine learning, data architecture, and software engineering
• Proficiency in programming languages such as Python , Java , or Go , and hands-on experience with cloud platforms (AWS, Azure, or GCP)
• Experience managing cross-functional teams and collaborating across engineering, data, and product functions
• Excellent communication and organizational skills

• Experience with FinOps , IT financial management, or tools such as ApptioOne, Cloudability, or Targetprocess
• Familiarity with MLOps tools and practices (e.g., MLflow, SageMaker, Airflow, Kubernetes)
• Exposure to generative AI or large language models (LLMs) in enterprise applications
• Track record of building high-performing teams and scaling data science efforts in a SaaS environment