Senior Technical Marketing Manager - Confluent
At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you'll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You'll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that's passionate about driving innovation and making a difference.
About the role
With Confluent, an IBM Company, organizations harness continuously flowing data to innovate and win in the modern digital world. We are defining a new category within data infrastructure — Streamhouse — so every organization can build real-time experiences and use the power of data in ways that profoundly change how we all live and work. One Confluent. One team. One Data Streaming Platform. Data connects us.
We are looking for a Senior Technical Marketing Manager (TMM) with strong software and data engineering foundations to drive adoption and awareness of Confluent among technical audiences, including developers, architects, data engineers, and technical executives. You will help turn bottom-up developer adoption into enterprise growth. You will turn Confluent capabilities into clear, compelling technical stories, demos, and assets that show how Confluent solves real customer problems, including real-time AI and agentic use cases. You’ll collaborate closely with Product Marketing, Product Management, Engineering, Developer Relations, and the Field to build and scale a world-class library of technical content and demos. You will help define and tell the story of Streamhouse, the emerging data architecture category in which applications and AI agents act on fresh, governed, real-time business context.
Responsibilities
- Build flagship demos and solutions: Design and implement realistic, reusable demos and reference solutions that showcase Confluent’s Data Streaming Platform (Kafka, Flink, Iceberg, connectors, governance, security and access control, AI/ML and AI agent use cases). Operationalize these demos so they are reproducible, documented, and easy for others to run (field, partners, and customers).
- Create technical content that tells a story: Author high-quality technical content (blogs, whitepapers, reference architectures, lab guides, how-to videos, webinars) that explains why and how to use Confluent to solve specific problems and use cases. Translate complex distributed systems concepts, such as exactly-once semantics and event-driven architecture, into clear narratives that connect architecture to business outcomes for audiences from engineers to CTOs and CFOs. Develop Streamhouse messaging, reference architectures, and proof points that show how Confluent’s Data Streaming Platform captures, processes, governs, and serves real-time context to production applications and AI agents.
- Partner on launches, campaigns, and use cases: Collaborate with Product Marketing and Product Management on launches and campaigns: define the technical story, proof points, and required assets. Develop content around priority use cases (e.g., real-time analytics, app modernization, real-time AI and AI/ML pipelines, data warehouse offload) and key industries such as financial services and e-commerce. Measure the impact of your work through adoption, usage, and pipeline influence, and iterate based on what the data shows.
- Show up as a technical expert in the field: Deliver live and virtual workshops, hands-on labs, webinars, and