Product Manager

Cohesity is the leader in AI-powered data security. Over 13,600 enterprise customers, including over 85 of the Fortune 100 and nearly 70% of the Global 500, rely on Cohesity to strengthen their resilience while providing Gen AI insights into their vast amounts of data. Formed from the combination of Cohesity with Veritas’ enterprise data protection business, the company’s solutions secure and protect data on-premises, in the cloud, and at the edge. Backed by NVIDIA, IBM, HPE, Cisco, AWS, Google Cloud, and others, Cohesity is headquartered in Santa Clara, CA, with offices around the globe.

We’ve been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design , and our culture.

Want to join the leader in AI-powered data security?

Cohesity offers a web-scale, hybrid cloud infrastructure for data management. We are looking for Product Managers who are motivated and passionate and willing to enhance Cohesity’s products and by working on features, tools, scripts that will make it easy to sell, deploy and maintain.

You will be part of our Product team and willing to work with Engineering and more importantly with Customer Support, System Engineers and Customers.

If you’re looking to make a real impact at the heart of cloud-scale data infrastructure, the Platforms Product Management team at Cohesity offers a unique opportunity. Our Platforms PM group is responsible for the foundational software, hardware integration, and performance engineering that enables all Cohesity products—from the core data cloud to next-generation scale-out architectures.

How You’ll Spend Your Time Here

• Own and execute the roadmap for platform performance engineering and active benchmarking, including:
• Performance test frameworks, tooling, and methodologies
• Definition and measurement of key performance indicators (KPIs) across storage, compute, and network layers
• Setting industry-standard benchmarks for throughput, latency, scalability, and efficiency for Cohesity platforms
• Performance modeling and forecasting for new hardware, configurations, and releases
• Continuous competitive benchmarking and positioning
• Translate business needs, field/customer feedback, and technical requirements into detailed user stories with clear acceptance criteria within the performance domain
• Prioritize and manage backlogs and release plans for all platform performance and benchmarking initiatives
• Partner cross-functionally with engineering, QA, field, hardware, and product teams to:
• Design, plan, and execute performance validation at scale
• Identify, root-cause, and resolve bottlenecks across system components and workflows
• Develop and validate performance optimization feature requirements
• Lead initiatives for infrastructure and workflow improvements that elevate performance engineering and reporting as a product discipline
• Collaborate with hardware and software vendors to validate Cohesity performance claims on new platforms and configurations
• Drive the delivery of automated benchmarking pipelines, real-time monitoring dashboards, and performance regression detection
• Generate and maintain high-quality technical documentation, white papers, and performance reports for both internal and external audiences
• Serve as the subject matter expert for all aspects of platform performance—supporting GTM teams, field escalations, and strategic customer opportunities
  

• 5+ years of product management experience, with a track record driving performance or benchmarking initiatives in infrastructure, cloud, or distributed system environments
• In-depth understanding of performance engineering principles, system profiling tools, and large-scale benchmarking practices
• Demonstrated ability to translate business and technical requirements into measurable performance outcomes and actionable product plans
• Strong partnership skills: proven effectiveness working across engineering, QA, hardware, and go-to-market teams
• Familiarity with automation frameworks, test harnesses, and continuous integration/continuous delivery (CI/CD) workflows
• Excellent written and verbal communication abilities, including technical reporting for internal and customer-facing materials
• Good to have a demonstrated ability to leverage AI tools to enhance productivity, streamline workflows, and support decision making.