Leadership Experience
3+ years managing/leading high-performing engineering teams
Ability to lead teams through ambiguity and align on complex technical goals
Proven success hiring, developing, and retaining talent
Technical Depth
Hands-on experience with distributed and concurrent systems or AI infrastructure
Deep knowledge of cloud-native environments, container orchestration, and SOAs
Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus
Product & Delivery Focus
Comfortable owning deliverables from design through production
Strong collaboration skills, prioritizing clarity, context, and customer impact
Experience in fast-paced startup or growth-stage environments
Background in Computer Science, Engineering, or a related technical field
Proficiency in Python/GoLang/Rust
Experience with Kubernetes, gRPC, and observability stacks
Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton)
Personal Attributes
Growth-minded leader who leads and empowers others
Excellent communicator and relationship builder
Passionate about building world-class AI infrastructure and teams