Senior Tech Marketing Manager: Real-Time Data & AI

International Business Machines Corporation

United States

Remote

USD 110,000 - 190,000

Full time

14 days+

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Benefits offered by this job

Healthcare benefits
Paid time off

Job summary

IBM Global Sales seeks a Senior Technical Marketing Manager to drive adoption of Confluent-based data streaming platforms. You will craft technical narratives, build demos, and create compelling content for developers, architects, data engineers, and execs.

You’ll collaborate with product marketing, product management, engineering, and field teams to scale Streamhouse narratives and proof points, enabling real-time AI and analytics across industries.

Qualifications

  • Hands-on streaming and data experience.
  • 5+ years with streaming/data technologies (Kafka, Flink, Spark Structured Streaming).
  • Strong understanding of distributed systems and event-driven architectures.
  • Solid software engineering skills with production-ready code samples.
  • Proficiency in at least one programming language (Java/Python) and SQL.

Responsibilities

  • Build flagship demos and solutions showcasing Confluent tech.
  • Create technical content (blogs, whitepapers, demos, labs).
  • Develop reference architectures and proof points for Streamhouse.
  • Collaborate with marketing, product and field teams on launches and campaigns.
  • Deliver live and virtual workshops, labs, webinars, and talks.

Skills

Streaming data
Kafka/Flink
Kubernetes
Docker
Technical storytelling
Cross-functional collaboration
Production-grade code
SQL
Customer-focused

Education

Bachelor's Degree

Tools

Confluent Platform
Apache Kafka
Apache Flink
Iceberg
Terraform

Job description

IBM Global Sales seeks a Senior Technical Marketing Manager to drive adoption of Confluent-based data streaming platforms. You will craft technical narratives, build demos, and create compelling content for developers, architects, data engineers, and execs.

You’ll collaborate with product marketing, product management, engineering, and field teams to scale Streamhouse narratives and proof points, enabling real-time AI and analytics across industries.

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