Senior Engineering Manager - Marketplaces DNA (Data & AI)

Airbnb

13d•Remote

About The Position

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: Marketplaces Data and AI is a group of passionate machine learning, software, data, and analytics engineers. We are responsible for developing new, cutting-edge AI and data products that leverage Airbnb’s massive datasets across Users, Listings, Pricing, and Supply/Demand. You will be a crucial part of the Guest and Host organization, building the intelligence that powers the web and native apps used by hundreds of millions of guests and hosts globally. The Difference You Will Make: Define and execute strategy to dramatically improve the intelligence of the Guest and Host apps through machine learning and data products. Set priorities, balance speed and quality, and ensure the engineering team executes against an ambitious roadmap. Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production. Examples of initiatives include AI Photo Tour, Categories and AI-driven review synthesis.

Requirements

12+ years of industry experience, with a minimum of 5-7 years in engineering management.
A proven track record of shipping highly scalable data and machine learning products to consumers in a fast paced environment
Expertise in setting 2-3 year technical strategies and roadmaps, aligning vision with diverse executive and technical stakeholders.
Demonstrated experience building, scaling, and leading high-performing teams quickly in dynamic, fast-paced domains.
Exceptional people management and mentorship skills, with a history of recruiting, developing and retaining top engineering talent.

Responsibilities

Lead and mentor a diverse team of ~10+ engineers and technical leads across Machine Learning, Data Engineering, Analytics Engineering, and Software Engineering.
This role is highly cross functional so you will partner with senior leadership in Data Science, Product, and across our Business to align stakeholders, define multi-year roadmaps, set and execute on iterative milestones.
Collaborate closely with key engineering teams, including Host Tools, Pricing, Guest Experience, Trust, Infrastructure, and Customer Service Platform.
Coaching and developing team members, helping them grow their careers, technical expertise, and collaboration skills.