Cisco Meraki

Data Analyst

• Collaborate Across Teams: Partner with PM and Engineering leaders to define key metrics for monitoring and understanding product performance and the customer experience
• Drive AI-Enhanced Analytics: Leverage AI-powered analytics tools (such as Snowflake Cortex and similar platforms) to build intelligent reports, surface hidden patterns, generate automated insights, and proactively recommend actions for product and operational improvements.
• Champion AI Adoption: Maintain a growth mindset around AI, constantly learn and experiment with new AI technologies, frameworks, and methodologies. Lead initiatives to adopt and scale AI tools within the analytics function.
• Develop Next-Generation Dashboards: Create compelling, intuitive, and automated dashboards for PM, Engineering, and Executives, utilizing AI to enhance visualization, automate discovery, and deliver actionable intelligence
• Identify High-Value AI Use Cases: Independently uncover opportunities to apply AI, such as trend detection, anomaly detection, forecasting, and natural language summarization—to improve operational processes and inform business strategy.
• Partner on Data Integration: Work with data infrastructure teams to support Cisco data integration into the Meraki ecosystem, ensuring AI and analytics tools are optimized for evolving business needs.

Senior Data Analyst

Full-stack Engineer

• Engineer complex projects that build and deploy critically important, 24x7 solutions in a cloud environment
• Build products that balance usability, stability, security, and scalability
• Foster a team culture of delivering a high-quality product experience
• Anticipate business and technical problems, and proactively implement creative approaches to respond
• Drive the end-to-end quality of the system and introduce new ideas to improve code by identifying new patterns to adopt
• Collaborate with product managers and UX designers to build seamless and intuitive user experiences
• Make suggestions to and drive improvement of team and organizational processes
• Navigate and optimize legacy systems while effectively handling uncertainty

Senior Software Engineer, JS Platform

Data Scientist

• Identify opportunities in AI, define strategies for AI use cases, and own the roadmap aligning with broader organizational goals with Product Management, Product Engineering, and UX
• Oversee the design, development, and deployment of AI/ML solutions for various business domains through all stages of the ML workflow, including data ingestion, model building, and model operations
• Work with partners across organizations to improve data infrastructure, enrich dataset and improve data quality to support ML solutions at scale
• Engage effectively with Product and Engineering leaders to identify and deliver customer-centric strategic analysis to find opportunities and support key Application domain product and business initiatives beyond the scope of supporting reactive requests
• Demonstrate the ability to lead, manage, and inspire a team of Data Analysts, Data Scientists, and Machine Learning Engineers toward project objectives and strategic goals

Senior Manager, Data Science

• Collaborate with the Cross Domain Automation team to build a cloud-native, multi-tenant virtual networking service creation and automation platform
• Deliver features that automate provisioning, management, and monitoring of AI-powered applications
• Participate in platform scalability, redundancy, and high availability activities
• Design and develop RESTful APIs for highly scalable SaaS deployments
• Design and implement data models using a model-driven development approach
• Implement UI features using React, Lit, Web Components, and Typescript
• Implement automated testing using Python and Selenium and contribute to the continuous integration process
• Work with Architecture and business partners to plan and design new solutions enabling fast deployment of cloud-based AI networking services
• Design and document technical specifications and participate in design sessions
• Write both automated and manual tests that validate acceptance criteria
• Work in an Agile environment using Scrum and Kanban methodologies

Senior Full-Stack Software Engineer / Ingénieur senior Full Stack

• Build AI-based and web-based experiences to guarantee network performance
• Collaborate with product managers, UX and domain experts to construct workflows
• Design performant storage and delivery systems (e.g., ClickHouse)
• Prompt engineering and fine-tuning LLMs for networking use cases
• Analyze web and API performance and propose optimizations
• Design and build systems to facilitate data exchange between cloud storages
• Potential to lead 6–12 month initiatives with 2–4 engineers and cross-functional collaboration
• Contribute across languages, platforms, and all levels of the Meraki stack

Senior Data Analyst

Senior Software Engineer, JS Platform

Senior Manager, Data Science

Senior Full-Stack Software Engineer / Ingénieur senior Full Stack

Lead Full-Stack Software Engineer, Assurance