Principal Technical Product Marketing Manager

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.
• Create 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.
• Led 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.
• 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.

Preferred Qualifications

• 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.
• Prior 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.

Benefits

• Competitive salary and pre-IPO stock options
• Comprehensive health care plans (medical, dental and vision), including medical and dependent FSAPaid Time Off (Vacation, Sick & Public Holidays)