Senior Product Marketing Engineer

Responsibilities

• Develop and own the technical benchmarking strategy for Snowflake’s Analytics portfolio.
• Partner with Product Management, Engineering, and Product Marketing to identify priority products, features, workloads, competitors, and customer scenarios for evaluation.
• Design rigorous benchmarking methodologies, testing scopes, workload definitions, success criteria, and validation processes.
• Contribute to the architecture, development, and ongoing improvement of a scalable and repeatable benchmarking platform.
• Configure environments, execute benchmark tests, troubleshoot technical issues, analyze results, and validate findings with engineering and product stakeholders.
• Ensure that benchmark methodologies and conclusions are accurate, reproducible, transparent, and defensible.
• Evaluate products and capabilities that may still be under development or have not yet been publicly released.
• Create compelling technical content, including Snowflake blogs, partner blogs, benchmark reports, presentations, sales enablement materials, demos, and videos.
• Present benchmarking methodologies and results to internal teams, customers, partners, analysts, and broader technical audiences.
• Monitor competitive analytics products, architectural developments, performance claims, product launches, and published benchmarks.
• Develop timely and thoughtful responses to competitive benchmark claims, working closely with Product, Engineering, Competitive Intelligence, Communications, Legal, and other relevant stakeholders.
• Build a strong internal point of view on competitive performance, architectural differentiation, and the strengths and limitations of different benchmarking approaches.
• Provide benchmark-driven insights to Product Management and Engineering that help inform product improvements, roadmap priorities, and future product direction.
• Enable Sales, Solutions Engineering, and partner teams to confidently communicate Snowflake’s technical differentiation.
• Establish measurement and reporting processes to evaluate the reach, influence, and business impact of benchmarking programs.

Required Qualifications

• 6+ years of experience in product engineering, performance engineering, technical product marketing, competitive engineering, solutions architecture, data engineering, or a related technical role.
• Strong understanding of modern data platforms, cloud data warehouses, analytics engines, and business intelligence architectures.
• Hands-on experience designing and executing technical benchmarks, performance tests, workload comparisons, or competitive product evaluations.
• Experience working with SQL, data modeling, query performance analysis, workload management, and large-scale analytical systems.
• Ability to design fair, repeatable, and technically defensible testing methodologies.
• Strong analytical and problem-solving skills, with the ability to investigate unexpected results and distinguish product behavior from configuration, architecture, or testing issues.
• Exceptional written and verbal communication skills, with the ability to simplify complex technical concepts without losing accuracy or credibility.
• Demonstrated ability to translate technical capabilities and performance results into customer outcomes and differentiated business value.
• Experience creating technical content for external audiences, such as blogs, reports, presentations, demos, webinars, or videos.
• Strong cross-functional leadership and organizational skills, including the ability to influence stakeholders without direct authority.
• Ability to manage multiple benchmarking initiatives and respond quickly to changing market and competitive priorities.
• Comfort working with confidential products, unreleased features, and sensitive competitive information.
• BS or BA in Computer Science, Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.

Preferred Qualifications

• Experience working at a cloud data platform, database, data warehouse, business intelligence, analytics, or AI infrastructure company.
• Experience benchmarking platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, Microsoft Fabric, or other analytical data systems.
• Experience with performance testing tools, workload automation, infrastructure-as-code, cloud environments, and benchmarking frameworks.
• Familiarity with semantic layers, metrics stores, ontologies, real-time analytics, interactive analytics, and AI-powered business intelligence.
• Experience evaluating total cost of ownership, price-performance, concurrency, scalability, elasticity, reliability, and operational complexity.
• Experience producing technical videos, live demonstrations, conference presentations, or other developer-focused content.
• Understanding of competitive intelligence practices and experience developing responses to competitive technical claims.
• Experience collaborating with technology partners on joint benchmarks, technical validation, or co-marketing content.
• Graduate degree in a technical or business discipline.