Senior Manager, Machine Learning Engineering - Communication & Connectivity

Airbnb Airbnb · Consumer · United States · Software Engineering

Senior Manager, Machine Learning Engineering focused on Communication & Connectivity at Airbnb. This role involves driving AI strategy, leading ML initiatives from concept to production, ensuring data pipeline quality, and mentoring a team of ML/Data engineers. The focus is on applying AI to enhance guest and host experiences.

What you'd actually do

  1. Lead and mentor a senior team of Managers and Engineers across Machine Learning, Data Engineering and Software Engineering.
  2. This role is highly cross functional so you will partner with senior leadership across Engineering, Data Science, Product, and across our Business to align stakeholders, define multi-year roadmaps, set and execute on iterative milestones.
  3. Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.

Skills

Required

  • 12+ years of overall engineering experience
  • 5+ years managing a team in a fast paced, high growth tech environment
  • BS, MS or PhD in Computer Science or related field
  • Experience building, leading, and architecting full-stack products and systems at enterprise scale with a great impact
  • Experience in applying modern artificial intelligence technologies to products and development cycles
  • Technical leadership: hands on experience leading project teams, setting technical direction and strategy, and working cross functionally with Product and Data Science teams
  • Strong communication and collaboration skills. Examples of working across teams and organizations on technical initiatives.

What the JD emphasized

  • Experience in applying modern artificial intelligence technologies to products and development cycles
  • Technical leadership: hands on experience leading project teams, setting technical direction and strategy, and working cross functionally with Product and Data Science teams

Other signals

  • Drive alignment across engineering, product, and leadership on AI investment priorities and set the multi-year technical roadmap.
  • Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production.
  • Ensure high-quality, efficient data pipelines that support both business and AI needs.
  • Grow and mentor a team of ML/Data engineers, raising the technical bar across the org.