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Engineering Manager

• Lead the modernization of core platform services (PHP → Go), defining service boundaries, architectural patterns, and dependency sequencing across routing, counselor tools, and shared services.
• Standardize CI/CD, deployments, observability, logging, and telemetry across AWS- and Go-based environments to enable reliable, predictable operations.
• Establish SLAs, incident management practices, performance baselines, and monitoring frameworks to strengthen system resilience, reliability, and error visibility.
• Drive platform maturity from ~2/5 to ~4/5 by implementing engineering standards, documentation patterns, and consistent service quality across the squad.
• Own the technology strategy and develop a plan to modernize core platform services (PHP → Go), defining service boundaries, architectural patterns, and dependency sequencing across the CTL platform, volunteer management lifecycle, and other core services.
• Own the execution and delivery of client-facing features by leading an engineering team committed to quality, velocity, and customer impact.
• Partner with Product, Developer Platform, DevOps/SRE, and Security to align on shared infrastructure, governance, roadmap priorities, and technical dependencies.
• Collaborate with Data Engineering, Research, and Analytics to ensure cross-service reliability, performant data flows, and architectural alignment across the Build department.
• Lead and mentor a team of 6–8 engineers, supporting growth in architectural thinking, system ownership, delivery discipline, and engineering excellence.
• Set clear expectations, provide thoughtful and actionable feedback, and cultivate a culture of reliability, autonomy, innovation, and strong documentation practices.
• Serve as a coaching-focused, people-first leader who brings structure, clarity, and calm to complex platform and migration work.

Senior Engineering Manager – Conversation Application

• Oversee the evolution of our Databricks-based lakehouse and ML platform, defining the technical roadmap for data pipelines and AI/ML infrastructure.
• Drive infrastructure-as-code practices with Terraform and make key architectural decisions that enable scalable, reliable global data systems.
• Ensure reliability, performance, and cost efficiency across Databricks and AWS by implementing observability, monitoring, and SLA frameworks for critical data pipelines.
• Establish best practices for DataOps, MLOps, and data quality while balancing innovation with technical debt and tracking KPIs for platform health, productivity, and business impact.
• Partner with Product, Analytics, Data Science, and Research teams to deliver scalable, compliant data solutions.
• Collaborate with Developer Platform, Security, and Compliance teams to align shared infrastructure, governance, and business priorities.
• Build, mentor, and scale a high-performing data and ML engineering team focused on innovation and reliability.
• Foster a culture of technical excellence, collaboration, and continuous learning across the organization.

Senior Engineering Manager – Data

• Lead the modernization of core platform services (PHP → Go)
• Define service boundaries, architectural patterns, and dependency sequencing across routing, counselor tools, and shared services.
• Standardize CI/CD, deployments, observability, logging, and telemetry across AWS- and Go-based environments
• Establish SLAs, incident management practices, performance baselines, and monitoring frameworks
• Drive platform maturity from ~2/5 to ~4/5 by implementing engineering standards
• Own the execution and delivery of client-facing features by leading an engineering team
• Partner with Product, Developer Platform, DevOps/SRE, and Security to align on shared infrastructure
• Lead and mentor a team of 6–8 engineers, supporting growth in architectural thinking, system ownership, delivery discipline, and engineering excellence.

Senior Engineering Manager – Conversation Application

Senior Engineering Manager – Data

Senior Engineering Manager – CAT