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Engineering Manager, AI Platform - Managed AI

San Francisco, CA - US💼 Full-time💰 $215,000–$215,000🗓 2026-08-13 → 2026-09-25

Core

Lead and scale a team of engineers building a next-generation platform for the full lifecycle of Large Language Models (LLMs), focusing on scalable, fault-tolerant infrastructure.

Role type

Engineering Manager, AI Platform

Builds

Next-generation AI platform for LLM lifecycle (task queues, model management, scheduling)

Domain

AI Infrastructure / Cloud Services

Deliverable

production ML models

Required skills

Team leadership, distributed systems, cloud-native environments, container orchestration, SOA, hiring, technical roadmap execution

Preferred skills

CPU & GPU performance, inference frameworks, LLM systems, Python/GoLang/Rust, Kubernetes, gRPC, observability stacks, open-source AI ecosystems (vLLM, Hugging Face, Triton)

Technologies

Kubernetes, gRPC, vLLM, Hugging Face, Triton, Python, GoLang, Rust

Responsibilities

Lead and mentor high-caliber software engineers; Define and execute the AI roadmap; Oversee architecture of core AI services; Ensure delivery of scalable systems; Work cross-functionally with Product, Infrastructure, and GTM stakeholders

Seniority

Manager, hands-on leadership

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