Senior Manager, Machine Learning Engineering - Communication & Connectivity

Reposted One Month Ago
Hiring Remotely in United States
Remote
248K-310K Annually
Senior level
Real Estate • Travel • PropTech
The Role
Lead and align ML, data, and engineering teams to define multi-year AI roadmaps, deliver production ML solutions, ensure robust data pipelines, set success metrics tied to business outcomes, and grow/mentor senior managers and engineers.
Summary Generated by Built In

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join:

Airbnb is powered by our Guests & Hosts. Our teams work on everything from driving improvements for the end-to-end Host and Guest experience to launching new product verticals from the ground up. Our job is to build world-class, comprehensive platforms and features to create high quality experiences for our outstanding guest and host communities.

Within our Guest & Host organization is the Communication and Connectivity team. The communication branch owns the tools used daily by millions of guests and hosts, including Messaging (2nd most used surface within Airbnb), push notifications, and other deep integrations with key operating system features. The connectivity branch is responsible for connecting hosts together through various ways, it also built a platform to connect 3rd party partners from various domains with Airbnb. The communication and connectivity team has engineers covering multiple disciplines including web engineers, native engineers, backend engineers, data engineers, and machine learning engineers. The role posted here will focus on Machine learning, Data and AI applications. 

The Difference You Will Make:

  • 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.
  • Define and own success metrics that tie ML work directly to business outcomes.
  • Grow and mentor a team of ML/Data engineers, raising the technical bar across the org.

A Typical Day:

  • Lead and mentor a senior team of Managers and Engineers across Machine Learning, Data Engineering and Software Engineering.
  • 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.
  • Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.

Your Expertise:

  • 12+ years of overall engineering experience with 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.

Your Location:

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: [email protected]. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. 

We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Equal Employment Opportunity:

Airbnb values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Airbnb are considered without regard to race, color, religion, national origin, age, gender, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, gender expression, sexual orientation, or any other legally protected characteristic.

How We'll Take Care of You:

Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.  

Pay Range
$248,000—$310,000 USD

Reasonable Accommodations: We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

A Note on Recruiting Scams: Scammers sometimes pose as Airbnb recruiters to get money or personal information from candidates. A few things that will always be true for Airbnb’s hiring process: our open roles are posted on Airbnb’s Career’s Page at careers.airbnb.com, and our recruiters correspond only from @airbnb.com or @ext.airbnb.com email addresses. Our recruiters will never ask for your Social Security number, bank account details, passport, or payment app information while you are interviewing.  We’ll also never ask you to pay a fee, send money, deposit or cash a check, or purchase work-related equipment (such as a company laptop) during the interview process. We encourage candidates to remain vigilant of these recruiting scams and not share sensitive information if you do not believe an individual is actually affiliated with Airbnb.


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
  • Experience applying modern artificial intelligence technologies to products and development cycles
  • Hands-on technical leadership setting technical direction and strategy, and leading project teams
  • Strong communication and collaboration skills across teams and organizations
  • Must live in a U.S. state where Airbnb, Inc. has a registered entity (per eligibility list)

Airbnb Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Airbnb and has not been reviewed or approved by Airbnb.

  • Fair & Transparent Compensation — Pay ranges and total compensation components are increasingly disclosed, and country-level pay practices avoid location-based cuts, which feedback suggests improves consistency and perceived fairness.
  • Healthcare Strength — Comprehensive core health coverage for employees, mental health resources, and substantial dependent support are repeatedly highlighted as robust and a standout element of the package.
  • Leave & Time Off Breadth — Generous PTO, a winter shutdown, sabbaticals, and paid volunteer time are described as extensive, with parental leave and phased return options reinforcing time-off flexibility.

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The Company
HQ: Dublin
14,622 Employees
Year Founded: 2008

What We Do

Airbnb is a community based on connection and belonging—a community that was born in 2008 when two hosts welcomed three guests to their San Francisco home, and has since grown to 4 million hosts who have welcomed over 800 million guest arrivals to about 100,000 cities in almost every country and region across the globe. Hosts on Airbnb are everyday people who share their worlds to provide guests with the feeling of connection and being at home. At Airbnb, we believe that hosts, guests and the communities where we operate are all stakeholders we have a responsibility to serve, and that by serving them alongside our employees and investors, we will build an enduringly successful company.

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