Lead, mentor, and grow a high‑performing engineering team responsible for AI tooling and internal platforms
Provide coaching, career development, and performance management for engineers across multiple levels
Foster a culture of technical excellence, psychological safety, and continuous improvement
Drive hiring, onboarding, and talent development to scale the team successfully
Define and execute the roadmap for AI‑enabled quality engineering tools and platforms
Partner with Principal and Staff Engineers to set architectural direction and ensure technical rigor
Oversee delivery of AI‑powered services, RAG pipelines, developer tools, and automation accelerators
Ensure systems are reliable, scalable, observable, and aligned with enterprise engineering standards
Collaborate with QE leadership, Platform Engineering, Data Engineering, Playback/Video Engineering, and Product to identify high‑value opportunities for AI tooling
Translate organizational needs into clear technical requirements and team priorities
Communicate progress, risks, and outcomes to senior leadership with clarity and precision
Establish engineering best practices, coding standards, and quality gates for the team
Ensure predictable delivery through effective planning, estimation, and execution
Drive continuous improvement in development velocity, reliability, and operational maturity
Manage budgets, vendor relationships, and resource allocation as needed
Requirements
6+ years of software engineering experience
3+ years managing engineers or leading teams
Strong background in backend engineering, distributed systems, or platform development
Experience building or overseeing AI‑powered systems (LLMs, RAG pipelines, embeddings, automation accelerators)
Demonstrated ability to lead teams delivering production‑grade internal tools or platforms
Strong communication skills and ability to influence across engineering and product organizations
Experience with cloud platforms (AWS, GCP, Azure), Kubernetes, and modern CI/CD practices