Leader, Applied AI Engineering (Digital Natives)

Fdetimes

San Francisco (CA)

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Job summary

OpenAI is seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of strategic technology and software customers across the Americas. You will guide a hands-on group that designs, builds, evaluates, and scales AI applications with OpenAI’s frontier models.

The role emphasizes setting the team’s strategy, mentoring engineers, and partnering with Sales, Product, Engineering, and Research to translate customer insights into repeatable

Qualifications

  • 8+ years of experience in deeply technical, customer-facing roles.
  • 2+ years leading technical teams and mentoring engineers.
  • Hands-on experience building or deploying generative AI and cloud-based software.
  • Strong skills in APIs, AI/ML systems, architecture and developer workflows.

Responsibilities

  • Own strategy and operating model for the Digital Natives Applied AI Engineering team.
  • Lead, hire, mentor, and develop engineers delivering customer outcomes.
  • Guide hands-on work with customers to identify use cases and scale AI applications.
  • Partner with Sales to prioritize technical engagement with strategic customers.
  • Represent the technical voice to Product, Engineering, and Research.
  • Coach engineers on quality and cross-functional collaboration.

Skills

Technical leadership
AI deployment
Python/JavaScript
Solutions architecture
Customer-facing

Job description

OpenAI is seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of strategic technology and software customers across the Americas. You will guide a hands-on group that designs, builds, evaluates, and scales AI applications with OpenAI’s frontier models.

The role emphasizes setting the team’s strategy, mentoring engineers, and partnering with Sales, Product, Engineering, and Research to translate customer insights into repeatable

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