Engineering Jobs at Airbnb with Visa Sponsorship
Engineering jobs at Airbnb span distributed systems, payments infrastructure, search and discovery, and trust and safety, with teams that consistently hire across experience levels. The company has a strong track record of sponsoring international engineers across multiple visa categories, making it a realistic target if you're on a work visa or transitioning from OPT.
Find Engineering Jobs at AirbnbOverview
Showing 5 of 7+ Engineering Jobs at Airbnb
See all Engineering Jobs at Airbnb
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Engineering Jobs at Airbnb.
Get Access To All JobsINTRODUCTION
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.
ABOUT THE ROLE
The Marketing Technology team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy - where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human-on-the-loop intervention. We are progressing along a deliberate maturity curve: AI assisted → agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance. The platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth. The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels.
You'll lead two closely partnered teams: the Segmentation Platform, which owns the audience infrastructure used across every marketing surface at Airbnb, and the Insights Platform, which provides the observability and analytics layer that marketing teams rely on to understand campaign performance and drive decisions. Both teams work hand-in-hand with a shared Product Manager and collaborate deeply with Communications, Orchestration, Delivery, and Growth Data Platform teams.
THE DIFFERENCE YOU WILL MAKE
As the Engineering Manager for Segmentation and Insights Platform, you will be the primary technical leader spanning two high-impact platform teams. You'll set the technical direction, own the roadmap execution, and build the kind of team culture where engineers grow and do the best work of their careers — including through deep, genuine adoption of AI-native engineering practices. The Segmentation Platform is in the middle of a major evolution — building a near real-time customer segmentation architecture, on-the-fly targeting, new entity types, and deeper data infrastructure integrations. The Insights Platform is extending into AI/ML-driven anomaly detection and trend analysis. Critically, both platforms are beginning to incorporate autonomous agent pipelines that handle complex, multi-step workflows at scale — and you will be the leader who ensures these systems are built with the rigor, reliability, and operational maturity that production-grade agentic systems demand. Your leadership will directly determine how well these platforms scale to meet Airbnb's ambitions, how confidently partner teams can depend on them, and how effectively this team leads Airbnb's broader shift toward AI-native engineering.
A TYPICAL DAY
- Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed
- Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers
- Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls
- Partner with the Product Manager to sequence the roadmap
- Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines
- Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale
- Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring
- Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality
- Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy
BASIC QUALIFICATIONS
- 9+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams
- Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes
- Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms — able to engage credibly in architecture and design conversations
- Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence
- Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments
- Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence
PREFERRED QUALIFICATIONS
- Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale
- Familiarity with ML/AI-powered analytics systems or experience managing engineers working on applied ML workstreams
- Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, or similar) and practical knowledge of where these systems break down in production
- Experience managing teams that own on-call rotations and production services with external SLAs
- Comfort navigating the intersection of engineering, data science, and analytics engineering disciplines within a single team
- Experience actively integrating AI-assisted development practices into team workflows and advocating for their adoption
YOUR LOCATION
This role is eligible for remote work within the United States. Employees may optionally use any of our US office locations. We expect team members to be available during core collaboration hours in their time zone and to participate in occasional onsite gatherings as the team and org schedule them, typically 2–4 times per year.
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.
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 $212,000—$265,000 USD
INTRODUCTION
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.
ABOUT THE ROLE
The Marketing Technology team’s vision is to drive long term sustainable growth for the Airbnb community. Our mission is to build a best-in-class agentic system, and capabilities to support the growth of all Airbnb products, current and future. We achieve this by delivering highly personalized and relevant content and product experiences to the Airbnb community, both on and off of the Airbnb platform. The north star is full autonomy - where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human-on-the-loop intervention. We are progressing along a deliberate maturity curve: AI assisted → agentic → autonomous, with human-in-the-loop controls at every stage to ensure brand safety, quality, and compliance. The platform deeply integrates with the Airbnb product, understanding the customer journey and enabling differentiated customer engagement experiences to drive product growth. The platform also powers digital marketing channels including landing pages, email, push, SMS, and digital advertising, as well as the machine learning/AI and data platforms that feed into the management and optimization of these channels.
You'll lead two closely partnered teams: the Segmentation Platform, which owns the audience infrastructure used across every marketing surface at Airbnb, and the Insights Platform, which provides the observability and analytics layer that marketing teams rely on to understand campaign performance and drive decisions. Both teams work hand-in-hand with a shared Product Manager and collaborate deeply with Communications, Orchestration, Delivery, and Growth Data Platform teams.
THE DIFFERENCE YOU WILL MAKE
As the Engineering Manager for Segmentation and Insights Platform, you will be the primary technical leader spanning two high-impact platform teams. You'll set the technical direction, own the roadmap execution, and build the kind of team culture where engineers grow and do the best work of their careers — including through deep, genuine adoption of AI-native engineering practices. The Segmentation Platform is in the middle of a major evolution — building a near real-time customer segmentation architecture, on-the-fly targeting, new entity types, and deeper data infrastructure integrations. The Insights Platform is extending into AI/ML-driven anomaly detection and trend analysis. Critically, both platforms are beginning to incorporate autonomous agent pipelines that handle complex, multi-step workflows at scale — and you will be the leader who ensures these systems are built with the rigor, reliability, and operational maturity that production-grade agentic systems demand. Your leadership will directly determine how well these platforms scale to meet Airbnb's ambitions, how confidently partner teams can depend on them, and how effectively this team leads Airbnb's broader shift toward AI-native engineering.
A TYPICAL DAY
- Lead weekly planning, roadmap reviews, and cross-team syncs for Segmentation and Insights Platform, keeping delivery on track and stakeholders well-informed
- Run 1:1s with engineers, with intentional focus on career growth, technical skill development, and early identification of blockers
- Serve as the primary engineering DRI for cross-team dependencies — fielding requests from teams across Airbnb tech. and making clear, reasoned prioritization calls
- Partner with the Product Manager to sequence the roadmap
- Drive technical strategy for the Insights Intelligence Engine — Airbnb's emerging AI/ML anomaly and trend detection system — working across ML, Data Engineering, and Analytics Engineering disciplines
- Oversee the design, delivery, and operational health of production agentic systems: autonomous pipelines, LLM-orchestrated workflows, and multi-agent architectures running at Airbnb scale
- Champion AI-native development practices across both teams — from AI-assisted coding and review workflows to the use of agents in CI/CD, on-call response, and data quality monitoring
- Own the health and operational maturity of both teams: on-call programs, incident retrospectives, SLO definitions, and runbook quality
- Represent both platforms in org-wide planning cycles and contribute to the broader Marketing Technology engineering strategy
BASIC QUALIFICATIONS
- 9+ years of software engineering experience, with 4+ years in an engineering management role leading platform or infrastructure teams
- Demonstrated experience managing engineers across a range of seniority levels, including early-career engineers, with a track record of meaningful career growth outcomes
- Strong technical foundation in distributed data systems, backend infrastructure, or marketing/ad technology platforms — able to engage credibly in architecture and design conversations
- Experience owning cross-team platform relationships: managing inbound dependency requests, negotiating priorities, and communicating commitments with confidence
- Track record of delivering complex, multi-quarter technical roadmaps in fast-moving environments
- Fluency in data-driven engineering practices: data pipelines, analytics infrastructure, observability, and operational excellence
PREFERRED QUALIFICATIONS
- Experience with audience segmentation, targeting systems, or marketing data infrastructure at scale
- Familiarity with ML/AI-powered analytics systems or experience managing engineers working on applied ML workstreams
- Hands-on familiarity with agent frameworks and orchestration tooling (e.g., LangGraph, CrewAI, Autogen, or similar) and practical knowledge of where these systems break down in production
- Experience managing teams that own on-call rotations and production services with external SLAs
- Comfort navigating the intersection of engineering, data science, and analytics engineering disciplines within a single team
- Experience actively integrating AI-assisted development practices into team workflows and advocating for their adoption
YOUR LOCATION
This role is eligible for remote work within the United States. Employees may optionally use any of our US office locations. We expect team members to be available during core collaboration hours in their time zone and to participate in occasional onsite gatherings as the team and org schedule them, typically 2–4 times per year.
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.
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 $212,000—$265,000 USD
Tips for Finding Engineering Jobs at Airbnb
Align your portfolio with Airbnb's stack
Airbnb's engineering teams run heavily on Java, Kotlin, Swift, and internal tools like Airflow and Minerva. Tailor your resume and GitHub to reflect experience with large-scale distributed systems or data infrastructure, not generic full-stack projects.
Target roles before OPT authorization expires
If you're on F-1 OPT, start your Airbnb application at least four months before your authorization end date. That buffer accounts for USCIS processing if a cap-subject H-1B petition needs to be filed before your OPT runs out.
Verify LCA filings before your interview
Before accepting an offer, check DOL's OFLC disclosure data to confirm Airbnb has filed Labor Condition Applications for your target job title. This tells you the role is genuinely eligible for H-1B or E-3 sponsorship, not just listed with vague intent.
Clarify sponsorship scope during offer negotiation
Ask explicitly whether Airbnb covers premium processing, legal fees, and Green Card sponsorship timelines during the offer stage. Engineering roles at large tech companies often include these, but terms vary by team and hiring cycle.
Search open Engineering roles at Airbnb using Migrate Mate
Filter by visa type and role category on Migrate Mate to surface Airbnb engineering positions that match your sponsorship needs. This saves time compared to manually cross-referencing job boards with DOL disclosure data.
Prepare for PERM implications on your timeline
If you're targeting permanent residency through an EB-2 or EB-3 path, understand that PERM labor certification can take one to two years. Factor this into your negotiation, especially if your H-1B or E-3 status has limited runway remaining.
Frequently Asked Questions
Does Airbnb sponsor H-1B visas for Engineers?
Yes, Airbnb sponsors H-1B visas for engineering roles. The company has an established process for filing H-1B petitions, including cap-subject cases for new hires transitioning from F-1 OPT. If you're already in H-1B visa status with another employer, Airbnb can file an H-1B transfer, which lets you start working shortly after the petition is received by USCIS.
How do I apply for Engineering jobs at Airbnb?
Apply directly through Airbnb's careers site and filter by engineering discipline. Roles typically require a technical screen followed by a multi-stage virtual interview covering system design, coding, and behavioral components. Make your visa status clear early in the recruiter screen so sponsorship requirements are confirmed before you reach the offer stage.
Which visa types does Airbnb commonly sponsor for Engineering roles?
Airbnb sponsors H-1B, E-3 visa, TN visa, and F-1 OPT for engineering hires, and supports EB-2 and EB-3 Green Card pathways for employees seeking permanent residency. Australian citizens are strong candidates for the E-3 visa, which has no lottery and processes faster than H-1B. Canadian and Mexican nationals in qualifying engineering occupations may be eligible for TN visa status.
What qualifications does Airbnb look for in Engineering candidates requiring sponsorship?
Most engineering roles require a bachelor's degree in computer science, electrical engineering, or a directly related field, which also satisfies the H-1B and E-3 specialty occupation requirement. Airbnb's hiring bar is high for system design and technical depth. Candidates with experience in large-scale distributed systems, mobile platforms, or data engineering tend to be competitive for senior and staff-level roles.
How long does the visa sponsorship process take after receiving an offer from Airbnb?
Timeline depends on your current status. H-1B transfers and E-3 applications can move quickly, with E-3 consular processing often completed in two to four weeks. New H-1B cap cases require the April lottery, so your start date may be October 1 of the following fiscal year. USCIS premium processing, which Airbnb typically covers for engineering hires, reduces adjudication to 15 business days for I-129 petitions. You can browse current open roles and filter by visa type on Migrate Mate before starting the process.