Engineering Manager

• Lead and manage a team of software engineers developing network simulation and testing solutions
• Drive the design and development of scalable simulation environments and automated testing frameworks
• Collaborate with networking, software, QA, and infrastructure teams to validate next-generation networking technologies
• Support development and debugging activities across complex simulated environments
• Improve development workflows, CI/CD processes, automation, and software quality practices
• Mentor engineers and foster a strong technical and collaborative team culture
• Contribute to technical decision-making, prioritization, and execution planning

Manager, Software Engineering – Network Simulation and Testing

• Lead and grow a team of software engineers developing next-generation networking management and orchestration tools
• Own execution and delivery of major cross-functional initiatives involving multiple engineering teams and stakeholders
• Drive technical strategy, architecture decisions, and long-term roadmap planning for networking management solutions
• Partner closely with software, networking, firmware, hardware, DevOps, and system architecture teams to deliver scalable and reliable solutions
• Establish engineering best practices, operational excellence, and high development standards across the team
• Provide hands-on technical guidance, debugging support, and architectural direction when required

Manager, Software Engineering – Networking Management

• Lead a team of data scientists, data engineers and product analysts.
• Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation.
• Drive excellence, code quality, and best development practices.
• Provide technical direction and hands-on guidance for complex AI systems.
• Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences.
• Ensure AI solutions are safe, scalable, observable, and continuously improving.
• Lead initiatives around product data analysis and experimentation.
• Analyze user interactions with product features to improve accuracy, UX, and business impact.
• Partner with product teams to define metrics, dashboards, and experiments that guide product improvements.
• Design system architectures for AI-enabled applications at scale.
• Evaluate and select technologies for AI platforms and data pipelines.
• Guide the development of prompt engineering frameworks and centralized prompt management.
• Ensure robust monitoring, evaluation, and feedback loops for AI outputs.
• Translate product and business goals into technical roadmaps and execution plans.
• Drive alignment between AI capabilities and measurable product outcomes.

AI & Data Engineering Manager

• Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
• Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
• Architect and scale batch and streaming pipelines powering core business and ML use cases.
• Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
• Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Data Engineering Manager

• Hands-on design and implementation of dimensional data models, ETL/ELT pipelines (dbt), and data production processes.
• Own data-pipeline reliability: monitoring, alerting and SLAs.
• Define and enforce team workflows: version control (Git), CI/CD for dbt projects, code reviews, documentation standards and sprint cadence.
• Drive timely execution: prioritize backlog, track deliverables, and ensure all projects meet agreed-upon deadlines.
• Establish data-quality frameworks and best practices for data testing, lineage and governance.
• Optimize performance of data models and Tableau data extracts to balance freshness and cost.
• Build and maintain core Tableau dashboards and reporting layers for cross-functional stakeholders.

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Manager, Software Engineering – Network Simulation and Testing

Manager, Software Engineering – Networking Management

AI & Data Engineering Manager

Data Engineering Manager

Data Engineering Manager