Senior Manager, Machine Learning Engineering, Communication & Connectivity

Airbnb

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$248,000–$310,000 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $241k
This role $279k
$170k most similar roles pay here $325k

This role pays more than 82% of similar roles. Most pay $211,687–$270,500 — the shaded band above. At the midpoint, this role pays about $279k versus about $241k for comparable roles.

Based on 240 similar postings.

Employer

About Airbnb

Founded in 2008 and formerly known as AirBed & Breakfast, Inc., Airbnb is a global marketplace connecting travelers with hosts who offer unique accommodations, ranging from private rooms to entire homes. It operates a massive digital platform for booking stays, experiences, and travel services worldwide.

Airbnb currently has 65 open roles on FindRole.

Listed pay typically runs $200,000–$240,000 across 51 roles with salary data.

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At a glance

TL;DR · Senior Manager, Machine Learning Engineering, Communication & Connectivity

Senior Manager, Machine Learning Engineering - Communication & Connectivity joins the Communication and Connectivity team to focus on machine learning, data, and AI applications. This role involves driving alignment across engineering, product, and leadership on AI investment priorities while establishing multi-year technical roadmaps. The manager will partner with Product, Design, and Data Science teams to move high-impact ML initiatives from concept to production, ensuring efficient data pipelines support both business and AI needs. Key responsibilities include defining success metrics, mentoring a senior team of managers and engineers, and coaching members on technical expertise. The role requires over 12 years of engineering experience, including five years of management in high-growth environments. Candidates must possess expertise in modern artificial intelligence technologies, full-stack systems at enterprise scale, and the ability to lead cross-functional projects within the messaging and connectivity domain.

What you'll do

  • Drive alignment across engineering, product, and leadership on AI investment priorities and multi-year technical roadmaps.
  • Partner with Product, Design, and Data Science teams to move high-impact ML initiatives from concept to production.
  • Ensure the creation of high-quality, efficient data pipelines that support both business operations and AI needs.
  • Define and own success metrics that link machine learning work directly to measurable business outcomes.
  • Lead, mentor, and develop a senior team of managers and engineers across ML, Data, and Software Engineering.
  • Set technical direction and strategy for enterprise-scale products using modern artificial intelligence technologies.

What we're looking for

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

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