Manager, Engineering, Dev AI

Airbnb

6h•$212,000 - $265,000•Remote

About The Position

Airbnb’s Dev AI team builds foundational AI tooling and infrastructure to improve developer productivity across the software development lifecycle and provides building blocks for teams to create domain-specific, internally facing AI tools. The team serves as both a platform group and an internal AI consultancy. The Engineering Manager will help shape and execute the technical direction of the team’s infrastructure and products. Work spans agentic coding tools, asynchronous AI workflow platforms, SDKs for internal AI application development, and AI-assisted code migration. The role influences how employees across Airbnb work and supports faster innovation across the company’s product surface. The team is collaborative, low-ego, and highly visible, emphasizing experimentation, learning, shipping, and rapid iteration as AI technologies evolve. This role involves developing strategy, guiding technical and product decisions, partnering with teams across the company, and coaching team members. The position is US remote eligible, with occasional office work or offsites as agreed with the manager. Employees must live in a state where Airbnb, Inc. has a registered entity.

Requirements

At least 2 years of experience as a full-time manager.
Experience supporting and coaching Staff+ engineers, ideally multiple, as well as Senior engineers.
Experience managing a remote or distributed team.
Experience building developer infrastructure, tooling, or platforms, ideally at scale and using commonly adopted industry tools, frameworks, or systems.
Experience applying AI technologies to real-world software development challenges.
Ability to ramp up quickly in new domains, technologies, or languages, and genuine enthusiasm for continuous learning.
Demonstrated success partnering cross-functionally, with excellent written and verbal communication skills.

Responsibilities

Help shape and drive the AI for Developers strategy, partnering with Staff and Senior Staff engineers on architecture trade-offs and product direction.
Track the evolving AI tooling landscape and help balance innovation with incremental, measurable developer impact.
Champion, advise, coach, and consult with teams and leaders across the company to support adoption of AI capabilities in daily workflows.
Build relationships with partner teams and stakeholders and develop working agreements.
Coach and mentor the team with empathy, supporting strong performance and growth in roles and responsibilities.
Contribute to the broader organization’s culture and processes with a “first team” mentality.