Senior Product Manager, API Management Professional San Jose
Listed on 2025-12-22
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IT/Tech
Cloud Computing, AI Engineer, IT Consultant, Data Analyst
A career in IBM Software means you’ll be part of a team that transforms our customer’s 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 an 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 responsibilitiesWe are seeking a Senior Product Manager with deep expertise in AI and API Management, to help shape the future of IBM’s AI & API Management portfolio. Our flagship offering, IBM API Connect, has a large install base and 10 years of “leader” ratings from industry analysts. This role focuses on articulating our core AI & API Management strategy, refining it with stakeholders both internal and external, and driving it back into delivery and execution.
You will combine integration, AI, and software engineering subject‑matter expertise with strong product management skills to translate market needs into scalable software capabilities. The ideal candidate understands the nuances of software engineering, security, integration, the business pressures facing our customers in a variety of industries and can envision the changes in these fields being brought on by a generational shift in technology.
This role requires a balance of strategic thinking and hands‑on execution: scanning the environment and researching market forces, crafting the vision, testing and refining the roadmap, and working with a cross‑functional team to ensure successful delivery.
- Craft the product vision and strategy for IBM’s API Management portfolio.
- Work with senior leadership to ensure alignment across business functions.
- Coordinate portfolio submissions for analyst review cycles.
- Own pricing and packaging for IBM API Management offerings.
- Own the relationships with other IBM offerings that bundle API Management.
- High School Diploma/GED
- Bachelor’s Degree
- 10+ years of professional experience, with at least 5 years of increasing responsibility in enterprise software product management and/or software engineering.
- Strong collaboration skills with cross‑functional teams (engineering, design, sales, support, and professional services).
- Excellent written and verbal communication, with the ability to engage both technical and non‑technical audiences.
- Deep knowledge of REST APIs, Event Driven Architecture, and Graph
QL. - Experience delivering successful SaaS services with public‑facing APIs.
- Hands‑on experience with vibe coding, MCP, and/or AI Gateways.
- Demonstrated success in working with top tier IT analysts.
- Degree in Computer Science/Engineering or Business.
IBM 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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