Principal Technical Product Marketing Manager

Striim is a unified data integration and streaming platform that connects clouds, data, and applications. They are seeking a highly technical and commercially minded Technical Product Marketing leader to support Striim's technical narrative across Application & Data Modernization, Event Stream Processing, and the Real-Time Contextual Data Platform for Enterprise AI.

Responsibilities:

• Support Striim's technical narrative across Application & Data Modernization, Event Stream Processing, and Enterprise AI use cases, translating complex platform capabilities into compelling technical positioning and market differentiation
• Develop and maintain reference architectures, deployment patterns, architecture diagrams, and technical solution narratives for enterprise modernization initiatives, real-time streaming applications, cloud migrations, and AI-driven data platforms
• Create highly technical practitioner-focused content, including blogs, whitepapers, benchmark studies, tutorials, demos, GitHub samples, reference implementations, and conference presentations
• Lead the technical component of product launches, ensuring the successful delivery of architecture briefs, demo environments, technical enablement materials, hands-on labs, and adoption-focused launch assets
• Partner closely with Product Management, Engineering, Sales Engineering, and Alliances teams to translate product innovation into field-ready technical assets and customer-facing proof points
• Support Striim's technical competitive intelligence program, delivering architecture comparisons, migration strategies, benchmarking analysis, and competitive win/loss insights
• Enable Sales Engineering teams through technical training, demo development, proof-of-concept frameworks, evaluation methodologies, and architecture review support for strategic enterprise opportunities
• Support high-value enterprise pursuits by engaging directly with customers, prospects, partners, and technical decision-makers throughout evaluation, architecture review, and proof-of-concept phases
• Represent Striim within analyst briefings, industry conferences, technical communities, customer advisory boards, webinars, and developer-focused events
• Act as a trusted advisor to Product and Engineering leadership by bringing field insights, customer feedback, competitive intelligence, and practitioner perspectives into roadmap planning
• Leverage AI-enabled tools and workflows to accelerate technical content creation, research, enablement, and market engagement while maintaining exceptional technical accuracy and credibility

Requirements:

• 10+ years of experience in enterprise software, with significant experience in Technical Product Marketing, Developer Relations, Solutions Engineering, Product Management, or a related technical go-to-market function
• Strong technical expertise in modern data architectures, distributed systems, cloud platforms, streaming technologies, data integration, analytics, or AI infrastructure
• Ability to communicate complex technical concepts—including change data capture (CDC), event streaming, distributed processing, data pipelines, and AI architectures—to highly technical audiences
• Hands-on familiarity with modern data and AI ecosystems, including technologies such as Kafka, Spark, Flink, Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, Apache Iceberg, or similar platforms
• Demonstrated success creating technical content that drives practitioner engagement, including architecture guides, benchmarks, tutorials, demos, technical blogs, conference presentations, or open-source contributions
• Experience supporting enterprise software sales cycles through technical positioning, proof-of-concept guidance, competitive differentiation, and customer-facing engagements
• Exceptional written and verbal communication skills with the ability to engage technical stakeholders ranging from Data Engineers and Architects to CTOs and executive leadership
• Familiarity with enterprise sales methodologies such as MEDDPICC, Challenger Sale, or similar consultative sales frameworks
• Experience leveraging AI-powered tools such as ChatGPT, Claude, Cursor, Gong AI, or similar technologies to improve productivity and content development
• Deep domain expertise in Change Data Capture (CDC), real-time data streaming, event-driven architectures, streaming analytics, data integration, or the Apache Kafka ecosystem
• Experience with modern cloud data platforms, including Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, or comparable technologies
• Prior experience supporting AI-native, agentic AI, machine learning, retrieval-augmented generation (RAG), Model Context Protocol (MCP), or enterprise AI platforms
• Background in software engineering, solutions architecture, sales engineering, developer advocacy, or product management prior to moving into technical marketing
• Experience scaling high-growth B2B software organizations through significant revenue growth and market expansion
• Analyst relations experience, including engagements with Gartner, Forrester, IDC, or similar industry analyst organizations
• Proven conference speaking experience at industry events such as Kafka Summit, KubeCon, Google Cloud Next, AWS re, Current, or similar technical conferences
• Experience marketing and supporting enterprise software solutions within highly regulated industries, including financial services, healthcare, telecommunications, retail, or public sector
• Demonstrated ability to influence technical buying committees and enterprise architecture teams through technical storytelling, thought leadership, and practitioner-focused content