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About the Role

Join the Cloud Platform team to build the data and telemetry foundation for cloud-managed networking experiences. Partner with product teams and engineers to deliver reliable insights and capabilities. Work in a collaborative, technically curious, and customer-focused environment spanning product management, engineering, data science, and design. Connect streaming telemetry infrastructure and data services to Meraki's broader cloud strategy, enabling differentiated customer experiences and shaping a platform for AI-driven networking.

Responsibilities

Define and own a multi-quarter roadmap for telemetry ingestion and data-platform capabilities.
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 for effective telemetry use by internal product teams and future AI/ML capabilities.
Measure success through platform reliability, latency, scale, adoption, and enabled customer experiences.

Requirements

7+ years of related experience.
3+ years of product management experience with cloud platforms, data infrastructure, SaaS networking, or a comparable technical product area.
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.

Skills

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.

Location

Remote (United States)

Work Type

Remote
Full-time

Experience Level

7+ years of related experience
3+ years of product management experience

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience in technical product development.

Salary/Compensations

$152,400.00 - $221,800.00 (U.S. and/or Canada)
$152,400.00 - $255,100.00 (New York City Metro Area)
$134,300.00 - $224,800.00 (Non-Metro New York state & Washington state)

Benefits

Medical, dental and vision insurance
401(k) plan with a Cisco matching contribution
Paid parental leave
Short and long-term disability coverage
Basic life insurance
Restricted stock units
10 paid holidays per full calendar year
1 floating holiday for non-exempt employees
1 paid day off for employee’s birthday
Paid year-end holiday shutdown
4 paid days off for personal wellness
16 days of paid vacation time per full calendar year (non-exempt employees)
Flexible vacation time off program (exempt employees)
80 hours of sick time off provided on hire date and each January 1st thereafter
Up to 80 hours of unused sick time carried forward
Additional paid time away for critical or emergency issues for family members
Optional 10 paid days per full calendar year to volunteer
Annual bonuses (non-sales roles)
Performance-based incentive pay (sales roles)

About the Company

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era.
We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds.
Our solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
We experiment and create meaningful solutions, fueled by the depth and breadth of our technology.
We work as a team, collaborating with empathy to make really big things happen on a global scale.
Our impact is everywhere because our solutions are everywhere.