Striim, Inc. - Principal Technical Product Marketing Manager
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.
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.
Benefits
• Competitive salary and pre-IPO stock options • Comprehensive health care plans (medical, dental and vision), including medical and dependent FSA • Paid Time Off (Vacation, Sick & Public Holidays) • The chance to contribute to and shape an upbeat, fully engaged culture • $215,000 - $225,000 USD on an annualized basis. In addition to base pay, this role offers the opportunity to earn variable-based rewards. • Applications will be reviewed on a rolling basis and accepted until the position is filled. • Our company culture fosters entrepreneurship and nurtures our team members to grow with the company. Come join a Silicon Valley startup focused on delivering a product that’s loved by its customers and primed to be a core part of the cloud data stack.
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