Staff Backend Engineer – AI-Powered Growth Engine

Airbnb

United States

On-site

USD 212,000 - 265,000

Full time

14 days+

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Job summary

Airbnb is seeking a Staff Software Engineer for the Ads Platform to lead the technical strategy and hands-on work on the AI-powered Growth Engine across paid channels. You will architect systems that autonomously manage the lifecycle of paid campaigns, from creative generation to optimization.

You’ll partner with Marketing, Product, Design, ML/AI, and data teams to ship scalable, safe, and high-impact improvements, mentor engineers, and drive cross-functional initiatives in a fast-paced,

Qualifications

  • 9+ years of hands-on software engineering experience.
  • Bachelor’s and/or Master’s degree in CS or equivalent.
  • Technical leadership: guiding project teams and setting strategy.
  • Strong focus on efficiency, availability, and quality.
  • Excellent communication and cross-functional collaboration.
  • Bonus: experience with paid advertising platforms.

Responsibilities

  • Set technical direction for the Growth Engine and architecture for creatives, bids, budgets, and audiences.
  • Write and review code, establishing engineering standards across the platform.
  • Partner with Marketing, Product, and Design to translate growth objectives into platform capabilities.
  • Advance the AI-assisted roadmap and de-risk with staged rollouts.
  • Mentor engineers and contribute to a collaborative culture.
  • Collaborate with ML/AI and data teams on models and signals for optimization.

Skills

Hands-on software engineering
Technical leadership
Communication & collaboration
Mentoring

Education

CS degree (Bachelor/Master)

Job description

Airbnb is seeking a Staff Software Engineer for the Ads Platform to lead the technical strategy and hands-on work on the AI-powered Growth Engine across paid channels. You will architect systems that autonomously manage the lifecycle of paid campaigns, from creative generation to optimization.

You’ll partner with Marketing, Product, Design, ML/AI, and data teams to ship scalable, safe, and high-impact improvements, mentor engineers, and drive cross-functional initiatives in a fast-paced,

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