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
We are seeking a highly motivated Product Manager or a Developer looking to transition into a product role with a strong background in Java technologies (e.g., Spring Boot, Quarkus, Liberty) and experience in AI. In this role, you will be part of an innovative team at the intersection of AI and enterprise Java technologies. You'll help guide product development and strategy for cutting-edge solutions that leverage Java frameworks alongside AI capabilities, while fostering a seamless and impactful integration for enterprise applications.
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This is an excellent opportunity for developers or technical professionals who are passionate about AI and Java technologies and are eager to transition into a product management role. You will have the chance to influence product direction, work with both engineering teams and AI experts, and help drive the future of AI integration in Java-based applications.
Key Responsibilities:
• Product Strategy & Roadmap:
Develop and own the product strategy, vision, and roadmap for integrating AI capabilities with Java-based enterprise applications (e.g., Spring Boot, Quarkus, Liberty).
Collaborate with engineering, design, and AI teams to define feature sets, prioritize development, and deliver high-impact solutions.
• AI Product Integration:
Leverage your knowledge of AI technologies (e.g., LangChain4J, machine learning frameworks) to guide product teams in integrating AI-driven solutions with Java-based applications.
Assist in the adoption of AI tools and frameworks, ensuring they meet the needs of enterprise customers.
• Customer Engagement:
Work closely with customers and stakeholders to understand their challenges, pain points, and goals. Use these insights to define and prioritize new features or improvements for AI-infused Java products.
Act as the voice of the customer, ensuring the product aligns with their needs and delivers value.
• Collaboration:
Act as the bridge between the development team, AI specialists, and other cross-functional teams.
Facilitate communication and collaboration to ensure alignment on product goals, technical feasibility, and delivery timelines.
• Technical Leadership:
Provide guidance on technical aspects of AI and Java technology stacks. While you may not be coding full-time, you should have a deep technical understanding of Spring Boot, Quarkus, Liberty, and AI frameworks like LangChain4J.
Assist in defining product specifications and make sure the technical implementation aligns with the business goals.
• Learning & Growth:
If you're not already an expert in AI, this role will provide an opportunity to expand your knowledge of AI frameworks, machine learning models, and AI integration within Java-based applications.
Attend relevant training, workshops, and conferences to stay up to date with emerging trends in AI and Java development.
Required Technical and Professional Expertise
Essential Skills:
• Java Expertise:
Experience with Java-based technologies, particularly Spring Boot, Quarkus, and Liberty for building scalable, enterprise-level applications.
• AI Knowledge:
Solid understanding of AI concepts, machine learning, and related frameworks, or a desire to learn more about integrating AI with Java technologies. Experience with frameworks like LangChain4J or Python-based AI tools is a plus.
Prior exposure to AI or machine learning libraries (e.g., TensorFlow, PyTorch, LangChain, Hugging Face) is advantageous.
• Python Experience:
Experience with Python (even if at a basic level) for interacting with AI models, building simple ML pipelines, or leveraging Python-based AI libraries.
• Product Management or Technical Experience:
Experience as a Product Manager, Technical Product Manager, or Developer transitioning into product roles. Familiarity with Agile methodologies and experience working cross-functionally with product, engineering, and customer-facing teams.
• Customer Focus:
Excellent communication and interpersonal skills to engage with customers and stakeholders. Ability to translate customer needs into clear product requirements and actionable plans.
• Problem-Solving Mindset:
Strong analytical and problem-solving skills with the ability to tackle complex technical challenges and deliver solutions that meet both customer needs and business goals.
Preferred Technical and Professional Expertise
• Experience with AI Frameworks:
Familiarity with AI frameworks such as LangChain4J, OpenAI API, or Hugging Face is a plus, but not required.
• Cloud & Containerization:
Experience with cloud environments (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) for deploying AI-driven applications at scale.
• Strong Product Vision & Strategy:
Proven ability to develop and execute a product vision and strategy for both customer-facing and internal-facing products.