Product Manager, Cloud Platform (Data & Telemetry) (Remote)

Cisco is a leader in revolutionizing how data and infrastructure connect and protect organizations in the AI era. They are seeking a Senior Product Manager to define and manage the roadmap for telemetry ingestion and data-platform capabilities, working closely with engineering teams to deliver reliable and scalable solutions.

Responsibilities:

• 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

Requirements:

• 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
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience in technical product development
• Experience defining a product roadmap and requirements for at least one backend, platform, data, or infrastructure capability delivered to production
• Experience partnering with engineering teams on APIs, distributed systems, data pipelines, or cloud architecture
• Experience using product, platform, or operational metrics to prioritize work and evaluate outcomes
• Familiarity with one or more streaming, messaging, caching, relational, or time-series technologies, such as Kafka, RabbitMQ, Redis, PostgreSQL, or time-series databases
• Experience with Kubernetes or Amazon Elastic Kubernetes Service (EKS) environments
• Experience defining data structures or access patterns for AI/ML models, analytics products, or autonomous agents
• Experience with enterprise networking, telemetry platforms, observability products, or large-scale SaaS services
• Ability to communicate complex technical tradeoffs clearly to engineering and non-technical stakeholders