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<div>The application window is expected to close on: 08/31/2026<br/><b>Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received</b>.<br/><br/><strong>This role is open to remote candidates within the United States.</strong><br/><br/><strong><b>Meet the team</b></strong><br/><br/>Come join the Cloud Platform team. We build the data and telemetry foundation behind cloud-managed networking experiences for customers. Partner with passionate product teams and engineers who use our platform to deliver reliable, high-fidelity insights and capabilities. Work in a cross-functional environment spanning product management, engineering, data science, and design, with a collaborative, technically curious, and customer-focused vibe. Connect streaming telemetry infrastructure and data services to Meraki's broader cloud strategy, enabling internal teams to build differentiated customer experiences. Help shape a platform that is evolving to support the next generation of AI-driven and agentic networking.<br/><br/><strong><b>Your impact</b></strong><br/><br/>Define and own a multi-quarter roadmap for telemetry ingestion and data-platform capabilities to advance Meraki's cloud strategy. Lead planning and prioritization across engineering partners, balancing performance, scalability, reliability, customer needs, and market opportunities. Translate distributed-system constraints and data requirements into clear product requirements, user stories, and measurable outcomes for high-availability, low-latency services. Build and evangelize APIs, tools, data structures, and access patterns that help internal product teams and future AI/ML capabilities use telemetry effectively. Measure success through platform reliability, latency, scale, adoption, and the customer experiences enabled by the platform.<br/><br/><strong><b>Minimum qualifications</b></strong><br/><ul><li>7+ years of related experience and 3+ years of product management experience with cloud platforms, data infrastructure, SaaS networking, or a comparable technical product area.</li><li>Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience in technical product development.</li><li>Experience defining a product roadmap and requirements for at least one backend, platform, data, or infrastructure capability delivered to production.</li><li>Experience partnering with engineering teams on APIs, distributed systems, data pipelines, or cloud architecture.</li><li>Experience using product, platform, or operational metrics to prioritize work and evaluate outcomes.</li></ul><br/><strong><b>Preferred qualifications</b></strong><br/><ul><li>Familiarity with one or more streaming, messaging, caching, relational, or time-series technologies, such as Kafka, RabbitMQ, Redis, PostgreSQL, or time-series databases.</li><li>Experience with Kubernetes or Amazon Elastic Kubernetes Service (EKS) environments.</li><li>Experience defining data structures or access patterns for AI/ML models, analytics products, or autonomous agents.</li><li>Experience with enterprise networking, telemetry platforms, observability products, or large-scale SaaS services.</li><li>Ability to communicate complex technical tradeoffs clearly to engineering and non-technical stakeholders.</li></ul><br/>
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