• Define the roadmap for AI-enabled GTM workflows across priority marketing and commercial motions. • Identify the highest-value use cases where AI can improve speed, quality, consistency, reuse, and operating leverage. • Prioritize shared workflows that can serve multiple teams before investing in narrow one-off solutions. • Translate GTM priorities into a practical AI workflow portfolio spanning research, content assembly, launch planning, campaign development, management, and QA, asset reuse, enablement support, and reporting. • Personally design, build, test, and deploy high-priority AI workflows. • Act as the senior practitioner for prompt design, retrieval patterns, workflow orchestration, content structuring, automation logic, and quality controls. • Build repeatable systems that improve GTM execution across messaging, launches, campaigns, field support, and knowledge access. • Work closely with Product Marketing and other teams to identify workflow bottlenecks and high-leverage opportunities. • Lead, coach, and develop a small team of AI GTM Engineers as the function scales. • Define and track success metrics for workflow adoption, throughput improvement, quality improvement, and time saved.

• Serve as the primary point of contact for Salesforce and sales systems support across a fast-growing sales organization • Triage, debug, and resolve issues across our Salesforce environment — including using debug logs to trace root causes quickly and accurately • Administer and support adjacent sales tools, including LinkedIn Sales Navigator, ZoomInfo, Gong, e-signature and contract generation tools and others • Go beyond the immediate fix: diagnose the underlying technical or UX root cause and address it at the system level so the same problem doesn't resurface for the next user • Bring a thoughtful eye to UX — if a workflow is confusing, a field is misplaced, or a process creates unnecessary friction for reps, flag it and fix it • Track and identify patterns in support volume, then design system automation and/or agentic workflows to address them at scale — auto-routing, intelligent response drafting, or fully automated resolution for the right categories • Build agentic automation with architectural rigor: not just what to build, but how to structure it so it scales, stays maintainable, and yields higher quality outcomes over time • Document solutions and contribute to a growing knowledge base that reduces future support load

• Define and execute global go-to-market strategies for Striim's platform, solutions, and AI-driven innovations across Application & Data Modernization, Event Stream Processing, and Enterprise AI use cases. • Develop customer segmentation, positioning, messaging, and value frameworks aligned to key technical and business decision-makers, including CIOs, CDOs, Enterprise Architects, Database Administrators, and Data Engineers. • Partner with Product, Sales, and Alliances teams to align product roadmap priorities with market opportunities, customer demand, and revenue objectives. • Drive product launches from strategy through execution, including platform releases, AI capabilities, and solution enhancements, while establishing success metrics tied to pipeline generation, adoption, and ARR impact. • Translate complex technical capabilities—including CDC, real-time streaming, data integration, AI agents, and observability—into clear, differentiated business value propositions. • Create and maintain messaging frameworks that communicate measurable outcomes such as accelerated cloud modernization, reduced total cost of ownership, improved AI readiness, faster time-to-value, and reduced operational risk. • Develop and maintain high-impact sales enablement assets, including battlecards, competitive positioning, pitch decks, demo narratives, ROI tools, customer presentations, and executive messaging. • Partner directly with Sales, Solutions Engineering, and Alliances teams on strategic enterprise opportunities to improve deal velocity, competitive differentiation, and win rates. • Monitor industry trends, competitive developments, emerging technologies, and regulatory changes across financial services, healthcare, retail, manufacturing, telecommunications, and other enterprise markets. • Conduct competitive analysis against Oracle GoldenGate, Confluent, Fivetran, custom Kafka architectures, and emerging real-time AI and data platform providers. • Deliver actionable market intelligence and customer insights that influence product strategy, roadmap decisions, and go-to-market execution. • Represent Striim through analyst briefings, webinars, conferences, customer advisory boards, cloud partner events, and thought leadership initiatives. • Serve as the voice of the customer and market within the organization, helping guide future product innovation and strategic investment decisions. • Collaborate with executive leadership and technical subject matter experts to develop thought leadership content that advances Striim's market position and category leadership. • Leverage modern AI-enabled workflows and tools to accelerate content development, competitive analysis, enablement creation, and go-to-market execution while maintaining high standards of quality and accuracy.

• 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.