Striim, (pronounced “stream” with two i’s for integration and intelligence), is a unified data integration and streaming platform that connects clouds, data, and applications with unprecedented speed and simplicity to deliver the right data at the right time. Striim is used by enterprise companies to monitor events across any environment, build applications that drive digital transformation, and leverage true real-time analytics to provide a superior experience to their customers. At our company, we believe and expect all of our employees to operate as one with unlimited potential and dignity.
We are seeking a highly technical, hands-on Product Marketing leader to drive messaging, content, and go-to-market execution across Striim's four core motions: Cloud Adoption, Application & Data Modernization, Event Stream Processing, and Agentic AI.
This is a high-impact individual contributor role for a builder who can move quickly, operate with autonomy, and turn complex technology into compelling stories for both technical and executive audiences. The ideal candidate has genuine product-level expertise in data streaming, cloud, and AI technologies; can write deeply technical white papers and blogs; and can translate those technical concepts into business value that resonates with CIOs, CDOs, and enterprise technology leaders.
This role is highly hands-on and works closely with Product, Engineering, Sales, Solutions Engineering, Alliances, and executive leadership to turn product innovation into differentiated messaging, technical content, sales enablement, and market impact.
Responsibilities- Own and execute product marketing initiatives from concept to launch across Striim's core markets.
- Develop deep expertise in Striim's technology and translate complex capabilities into differentiated positioning, messaging, and business value.
- Write highly technical, authoritative content, including technical blogs, solution briefs, technical guides, and thought leadership briefs.
- Create executive-level narratives that connect technical capabilities to business priorities such as modernization, cost, risk, resilience, and AI readiness.
- Partner directly with Product and Engineering to understand architecture, capabilities, differentiation, and customer use cases.
- Build sales and executive content for various industries, including pitch decks, battlecards, competitive positioning, ROI/value frameworks, and customer presentations.
- Support strategic enterprise opportunities by helping Sales and Solutions Engineering articulate technical and business value to sophisticated buyers.
- Develop competitive intelligence and messaging against emerging data and AI platforms.
- Turn customer, market, and competitive insights into actionable messaging and content.
- Contribute to analyst, partner, customer, webinar, conference, and thought leadership initiatives.
- Use AI-enabled tools to accelerate research, writing, content development, and execution.
Requirements
- 12+ years of experience in B2B software Product Marketing, Product Management, Solutions Consulting, Sales Engineering, or a related technical role.
- Deep product-level expertise in data infrastructure, data modernization, streaming, distributed systems, cloud, analytics, AI/ML, or related enterprise technologies.
- Exceptional technical writing skills with a strong portfolio of solution briefs, competitive analyses, technical guides, or other long-form technical content.
- Proven ability to translate complex technical solutions into compelling business value for CIOs, CDOs, CTOs, Enterprise Architects, and other enterprise technology leaders.
- Strong understanding of CDC, data replication, real-time streaming, event-driven architectures, stream processing, Apache Kafka, and modern cloud data platforms.
- Experience with technologies such as Snowflake, Databricks, BigQuery, Spanner, Microsoft Fabric, AWS, Azure, or Google Cloud.
- Ability to understand technical architecture and product differentiation without relying on others to translate it.
- Proven ability to operate as a hands-on individual contributor in a fast-paced, high-growth environment, taking ambiguous ideas from concept to execution with minimal direction.
- Demonstrated ability to move quickly, manage competing priorities, and produce high-quality work without a large team or extensive infrastructure.
- Experience supporting complex enterprise sales cycles and working directly with Engineering, Product, Sales, Solutions Engineering, and executive stakeholders.
- Experience in data-intensive or highly regulated enterprise markets such as financial services, healthcare, telecommunications, manufacturing, or retail.
- Experience with analyst relations, enterprise technology thought leadership, or cloud partner ecosystems.
- Strong working knowledge of AI-enabled productivity and content tools such as ChatGPT, Claude, Gong AI, or similar.
- 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
$225,000 - 235,000 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.
We are an equal opportunity employer, and we value diversity at our company.It is in our best interest to continue to foster an environment of diversity, equity, and inclusion to bring the most value to our workforce, customers, and partners. All applicants are considered for employment without attention to race, color, religion, sex, age, marital status, sexual orientation, gender identity, national origin, veteran status, or disability status.
For more information on Striim's Privacy Policy, click here.
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