Engineering Manager, AI Search Infrastructure

Triwill Group

San Francisco, Northern (CA, KY)

Hybrid

USD 200,000 - 280,000

Full time

10 days ago
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Job summary

OpenAI is seeking an Engineering Manager to lead the ChatGPT Search Infrastructure team in San Francisco, guiding architecture and product integration for high-scale search experiences. You will drive platform strategy, build reusable tools, and partner across research, inference, and product groups to ship reliable, low-latency capabilities.

You will manage senior engineers, foster an inclusive culture, and ensure operational readiness with strong observability, testing, and rollout practices

Qualifications

  • Experience leading senior engineers on large-scale infrastructure.
  • Deep backend infra, APIs, and distributed systems expertise.
  • Proven ability to deliver reliable, low-latency search infrastructure.

Responsibilities

  • Define and drive the technical strategy, architecture, and roadmap for ChatGPT Search Infrastructure.
  • Lead and develop a team of engineers with clear ownership and accountability.
  • Partner with research and Post-Training to translate model improvements into production experiences.
  • Build reusable platforms enabling product teams to independently implement and launch features.
  • Uphold high availability, sub-second latency, and scalable systems across the stack.

Skills

Backend infrastructure
Platform engineering
APIs
Low-latency serving
Experimentation platforms
Model integration
Search orchestration
Indexing
Retrieval
Observability
Capacity planning

Job description

OpenAI is seeking an Engineering Manager to lead the ChatGPT Search Infrastructure team in San Francisco, guiding architecture and product integration for high-scale search experiences. You will drive platform strategy, build reusable tools, and partner across research, inference, and product groups to ship reliable, low-latency capabilities.

You will manage senior engineers, foster an inclusive culture, and ensure operational readiness with strong observability, testing, and rollout practices

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