Manager, Engineering - Payments (AI/ML) at Airbnb

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Leadership, Technical Decision Making, AI Ops, Incident Management, System Observability, Collaboration, Influencing, Product Mindset, Stakeholder Communication, Hands-on Experience, LLMs, AI Observability

Industry

Software Development

Description

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. Title: Manager, Engineering - Payments AI/ML Foundation The Community You Will Join: Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments org at Airbnb is responsible for everything related to settling money in Airbnb’s global marketplace and makes the Payment experience as delightful, magical, intuitive, and easy as possible. At the Payments modeling team, our goal is to empower the mission by introducing intelligences and personalizations that optimize Airbnb’s massive daily transaction volume to best collect payments from guests, distribute payouts to hosts while preventing fraudulent transactions from happening. The Difference You Will Make: As the Engineering Manager for the Payments AI/ML Foundation team, you’ll transform fragmented AI experiments into a robust, unified platform for product teams. You’ll define and drive the AI Platform/Ops strategy, setting standards in serving, orchestration, evaluation, and governance—making AI features safe, compliant, and efficient. By standardizing practices, you’ll accelerate delivery and elevate the quality of AI at Airbnb. A Typical Day: Set direction and priorities, balancing platform generalization and domain-specific needs Guide technical decisions, ensuring scalable, multi-tenant platform components Raise the bar for AI Ops, improving SLOs, incident management, and system observability Lead and mentor engineers, fostering a high-performing, motivated team Communicate impact through clear updates on platform adoption and reliability Your Expertise: 7–10+ years of software engineering experience, with 3–5+ years in leadership or tech lead roles Proven success building and operating production backend/infrastructure/ML systems Strong product mindset and stakeholder communication skills Hands-on experience with LLMs, AI Observability, and AI Ops is highly desired Excellent collaborator and influencer across teams Our commitment to Inclusion and 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. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.

Responsibilities

As the Engineering Manager, you will transform AI experiments into a unified platform and define the AI Platform/Ops strategy. You will guide technical decisions and lead a motivated team to improve AI delivery and quality.