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, experiences and services that make it possible for guests to connect with communities in a more authentic way.

Airbnb

Equity / Stock Options

Bonus

Employee Travel Credits

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.

Our mission at Marketing Technology is to provide a state-of-the-art platform and measurement capabilities to enable marketing and product teams to engage with our customers effectively. Every day, millions of Airbnb customers are reached via our streamlined platform over comprehensive marketing channels such as Email, Push, SMS, Google Ads, Facebook Ads etc. We deliver substantial business impact by enabling numerous stakeholders across the company, including Marketing (Brand and Performance), Guest, Host, Airbnb Org, Policy, and more.

As a Staff Software Engineer on the Content Platform team, you'll provide hands-on technical leadership to build an agentic platform to quickly create onsite (airbnb.com) and offsite (emails, push notifications) content in a no-code manner. We are at an exciting inflection point. transforming the platform into an AI-driven system that can turn a marketing brief into a fully realized campaign in minutes, not months. This full stack team owns a complex CMS platform, no-code tool, rendering infrastructure and now an agentic layer, all at scale where our content is consumed by millions of Airbnb users daily. You'll work alongside a team of talented software engineers to build technology that helps Airbnb grow. You will also work closely with cross-functional partners across design, product, and marketing to solve problems that have direct growth impact on our business.

As a Staff Software Engineer on Content Platform, you will:

Define and drive the technical vision for our platform with a product-first mindset.

Lead and contribute to the full development cycle: technical design, implementation, testing, experimentation, and deployment.

Participate in code and design reviews, offering constructive feedback to improve technical quality

Mentor and provide technical guidance to engineers, fostering a culture of knowledge sharing and continuous learning.

Collaborate with engineering, marketing, creative, and design to drive impactful outcomes.

At Staff+ level, our engineers are responsible for setting a technical vision and delivering solutions that are flexible, efficient, and scale with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership, and technical expertise to solve these challenges for Airbnb.

10+ years of hands-on software engineering experience

Bachelor’s and/or Master/PhD’s degree, preferably in CS, or equivalent experience

Expertise in backend systems with large-scale service-oriented architecture

Hands on experience architecting and developing agentic systems 

Experience working in Java, and/or Cotlin, LangGraph, GraphQL, relational and noSQL databases, caching solutions like Redis and micro service architecture

Passionate about efficiency, availability, and system quality

Strong communication skills with experience driving initiatives that span across teams, departments, and leadership

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.

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: 

. 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.

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.  

Staff / Principal Level

Education

Experience

Airbnb is seeking a Staff Software Engineer for its Marketing Technology team to build an AI-driven agentic platform for content creation. The role involves providing technical leadership to develop a no-code CMS and rendering infrastructure using Java, Kotlin, and LangGraph. You will collaborate cross-functionally to drive growth impact through scalable backend systems.

Software Engineering

Remote, USA

United States

Staff Software Engineer, Marketing technology 

Full Time

Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. 

The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search,  LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb.

As a principle machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent,  recommendation, travel planning, and many more products that make meaningful impacts in the world of travel.

Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases.

Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits.

Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency.

Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases.

Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy.

PhD in Computer Science,  Machine Learning, Mathematics, Statistics, or related technical field.

10+ years of experience with developing machine learning models and products at scale from inception to business impact.

Programming experience in Python and hands-on experience with frameworks such as PyTorch.

Proven record of training, fine tuning, optimizing models and inference run-time

 in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling.

 in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development

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.

Senior Staff Machine Learning Engineer at Airbnb focusing on post-training for LLMs. The role involves fine-tuning, alignment, and optimizing state-of-the-art models for high-performance deployment on Airbnb's ML infrastructure. Primary technologies include Python, PyTorch, and advanced LLM optimization techniques.

Remote - USA

Senior Staff Machine Learning Engineer, Post Training

As a Senior Staff Software Engineer on the Content Platform team, you'll set the technical direction for the org's transformation into an AI-driven system that turns a marketing brief into a fully realized campaign in minutes, not months. You'll own the technical strategy across a complex, multi-team surface area spanning a CMS platform, no-code authoring tools, rendering infrastructure, and an emerging agentic layer, all operating at a scale where the content produced is consumed by millions of Airbnb users daily. You will partner with engineering leadership, product, design, and marketing stakeholders across the company to define multi-year technical strategy, resolve the org's hardest cross-team technical challenges, and raise the bar for engineering excellence across Marketing Technology.

As a Senior Staff Software Engineer on Content Platform, you will:

Define and drive technical vision and strategy for the Content Platform org, ensuring architectural decisions scale across teams and align with broader company technology direction.

Identify and resolve the highest-leverage, most ambiguous technical problems that span multiple teams or systems, often before they become visible to others.

Lead architecture and design reviews across the org, setting technical standards and driving consistency in engineering practices.

Mentor and grow Staff and senior engineers, and act as a technical multiplier by scaling your judgment and expertise across the broader organization.

Partner directly with engineering leadership, product, design, and marketing/business stakeholders to align technical strategy with business priorities and influence roadmap decisions at the org level.

Represent Marketing Technology in company-wide technical forums, driving adoption of best practices and shaping technical direction beyond your immediate team.

At Senior Staff level, our engineers are expected to operate with organization-wide scope and impact, setting technical direction that shapes how multiple teams build and scale, while remaining deeply hands-on when it matters most.

15+ years of hands-on software engineering experience, including a track record of technical leadership at organizational scale

Bachelor's and/or Master's/PhD degree, preferably in CS, or equivalent experience

Deep expertise in backend systems and large-scale, service-oriented and distributed architectures

Proven experience architecting and scaling agentic or AI-driven systems in production

Experience with Java, and/or Kotlin, LangGraph, GraphQL, relational and NoSQL databases, caching solutions like Redis, and microservice architecture

Demonstrated ability to set technical vision and drive execution across multiple teams and stakeholders, with a track record of influencing engineering culture and standards beyond a single team

Passionate about efficiency, availability, and system quality at scale

Past experience with Marketing Technology or Growth platform systems is a plus

Exceptional communication and cross-functional influence skills, with experience driving initiatives that span teams, departments, and leadership

Airbnb is seeking a Senior Staff Software Engineer for its Marketing Technology team to lead the technical strategy for an AI-driven content platform. The role involves architecting a system that transforms marketing briefs into campaigns using a CMS, no-code tools, and agentic layers. Key technologies include Java, Kotlin, GraphQL, and distributed backend architectures.

Senior Staff Software Engineer, Marketing Technology

The Host Pricing & Availability team builds the platform and tools that empower hosts to manage their business effectively. We help Airbnb hosts set competitive prices by providing market intelligence, comparable listing data, and demand signals. Additionally, we build advanced tools for seamless calendar management. As a critical component of Airbnb's business and a pillar of trust within our host community, we partner with the Search, Listings, Tax, and Payments teams to ensure accuracy and consistency across our pricing systems.

As a Staff Engineer on the Host Pricing and Availability team, you will drive the technical strategy and delivery of Airbnb's pricing product roadmap. You will collaborate cross-functionally with Product, Design, and Data Science to architect scalable solutions with clear domain boundaries, while continuously enhancing the performance, efficiency, and impact of our end-to-end architecture.

Architect and lead the technical strategy for our pricing and availability backend systems, ensuring APIs, services, and data pipelines are robust today and evolve alongside business needs.

Lead the development and optimization of Airbnb’s core pricing and availability products.

Collaborate with product engineers and cross-functional partners to develop new host pricing functionality and calendar management tools.

Contribute to the long-term backend system architecture within the Host Pricing organization.

Champion engineering excellence by establishing architectural standards and mentoring senior engineers to elevate the organization's technical maturity.

9+ years of engineering experience with a BS/MS or PhD in CS or similar

Proven track record of leading teams, setting technical strategy, and launching high-impact product features

Expertise with backend systems in large-scale service-oriented architectures.

Experience influencing cross-functional partners and engineering teams.

Good judgment in making tradeoffs to balance short-term business needs with long-term technical quality.

Excellent communication and cross-team collaboration skills.

Strong problem-solving and production debugging abilities.

People Management

Airbnb is seeking a Staff Backend Engineer for the Host Pricing & Availability team to drive the technical strategy and delivery of pricing product roadmaps. The role involves architecting scalable backend systems, optimizing data pipelines, and leading cross-functional efforts to enhance host pricing and calendar management tools using large-scale service-oriented architectures.

Staff Backend Engineer, Host Pricing & Availability

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. 

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.

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.

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.

. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

Senior Level

Airbnb is seeking a Senior Manager of Machine Learning Engineering for the Communication & Connectivity team. The role involves driving AI investment priorities, managing a team of ML and data engineers, and collaborating cross-functionally to deliver high-impact AI products at scale.

Remote - US

Senior Manager, Machine Learning Engineering - Communication & Connectivity

The Ads Platform team builds the AI-powered growth engine behind Airbnb's paid marketing across Google, Meta, and the broader advertising ecosystem. We build the platform and intelligent systems that power paid campaigns — from creative to optimization to audience — at scale across every channel, with a strong commitment to brand safety, quality, and human oversight. Our ambition is bold: to build increasingly autonomous, AI-driven marketing systems that grow Airbnb's business.

We sit at the intersection of engineering, marketing, and AI. You'll partner closely with Marketing, Product, and Design, work alongside Airbnb's ML/AI and data platform teams, and integrate deeply with the core product to turn a rich understanding of the customer journey into differentiated, high-performing paid experiences.

As a Staff Software Engineer on the Ads Platform team, you will lead the technical strategy and hands-on execution of Airbnb's next-generation, AI-powered Growth Engine for paid channels (Google, Meta, and beyond). You will architect systems that autonomously manage the full lifecycle of paid campaigns — creative generation and rotation, bidding and budget optimization, audience management, and feed intelligence — at scale. Success looks like measurable gains in marketing efficiency (ROAS/CAC) and campaign velocity as we advance the platform along its AI-assisted → agentic → autonomous maturity curve, with the quality, brand safety, and human-in-the-loop controls that let us operate autonomously with confidence.

Set technical direction for the agentic Growth Engine — making architecture decisions on the systems that generate creatives, optimize bids and budgets, and manage audiences across Google, Meta, and other paid channels.

Write and review code hands-on, establishing engineering standards for quality, availability, and system health across the platform.

Partner directly with Marketing, Product, and Design to translate growth objectives into platform capabilities, and to define the human-in-the-loop controls that keep autonomous campaigns safe and on-brand.

Advance the AI-assisted → agentic → autonomous roadmap, identifying where to introduce automation next and de-risking it through experimentation and staged rollout.

Mentor engineers and act as a force multiplier — leveling up the team through design reviews, technical guidance, and a collaborative, inclusive culture.

Collaborate with ML/AI and data platform teams on the models and signals that feed campaign optimization, and integrate deeply with the Airbnb product to understand the customer journey.

9+ years of experience in a hands-on software engineering role.

Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience

Technical leadership: hands on experience leading project teams, setting technical direction and strategy and mentoring engineers.

Passionate about efficiency, availability, technical quality and system quality.

Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.

Proven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders.

Strong communication and collaboration skills with experience driving initiatives that span across teams, departments and leadership.

Bonus - Hands-on experience with paid advertising platforms (Meta, Google, or similar) — you understand how the ecosystem works, not just the engineering surface.

Cross Functional Leadership

Staff Backend Engineer at Airbnb for the Ads Platform team. You will lead the technical strategy and execution of an AI-powered Growth Engine to automate paid marketing campaigns across Google and Meta. The role involves architecting autonomous systems to optimize bidding, budgets, and audience management.

Staff Backend Engineer - Ads Platform

Our team is responsible for building and scaling the technology that supports Airbnb's global support operations. We are passionate about creating tools that enable our Community Support Quality Analysts, Team Leads, and Operations Managers to ensure the delivery of exceptional, consistent service to our community of hosts and guests.

We are seeking a highly motivated and experienced Platform Manager to lead the strategy, roadmap, and execution of our quality tooling. In this role, you will own how we build products to enable evaluating and improving agent performance at scale. This includes the strategy for how and when we build and acquire quality capabilities, and the end-to-end execution of automated quality evaluation. You will ensure that our tooling is high-quality and fit-for-purpose for the Quality teams and other operational users who rely on them every day. You will partner closely with engineering, operations, and other cross-functional teams to define and deliver a quality platform that raises the bar for agent performance across Airbnb's global support organization.

: Deeply understand, synthesize insights, and and advocate for the needs of QAs, Team Leads, Agents, and other Operations Management. Leverage data from users, product data, and business/industry trends to identify opportunities. 

 Lead the strategy and execution for Airbnb's quality tooling platform. Ensure QAs, Team Leads, and other users have a high-quality, intuitive experience across every feature we ship.

: Develop the prioritization framework for our quality capabilities. Drive complex, strategic quality capability decisions,, balancing speed-to-value against the best long-term solutions. 

: Own end-to-end automation solutions that drive better quality service at scale. 

Connect Quality to the Broader Agent Lifecycle

: Partner with Coaching and Supervisor Tooling teams to ensure quality data is a connected, high-signal input across the agent performance ecosystem.

In the fast-paced and dynamic environment of Airbnb, no two days are the same. You'll be collaborating with a diverse group of people, tackling complex challenges, and making a real difference in the lives of our global community. While the landscape is ever-evolving, here are some of the activities you will engage in:

 Work hand-in-hand with engineering to build features, including understanding what is and isn't working in our AI-powered products. You will go deep in the data — analyzing model outputs versus human judgments to identify inconsistencies, understanding whether disagreements reflect a model issue or an ambiguity in the underlying criteria, and proposing solutions based on what you find. You'll do this through hands-on sampling, deep dives, and developing and leveraging deep domain expertise. You are a technical authority  to engineering who can explain the data, resolve ambiguities, and independently drive the direction of better AI products.

Define and uphold the product bar for every feature we ship - setting clear quality standards, ensuring tools are intuitive and fit-for-purpose for each user type, and holding teams accountable for delivering to the right standard.

 Observe QA, Team Lead, and other user workflows firsthand to identify friction points, gather feedback, and ensure the tools we build reflect real user needs.

 Define the right success metrics for our capabilities, track them rigorously, and use them to identify gaps, validate improvements, and inform roadmap prioritization.

 Meet with external partners to drive product improvements, escalate issues, and define priorities and drive roadmaps  on behalf of Airbnb's quality and operations teams.

: Autonomously drive cross-functional alignment on product vision and proposed solutions across teams, extended stakeholders, and leadership. .

 Develop and own the quality tooling roadmap, making strategic trade-offs across short-, mid-, and long-term priorities. Communicate roadmap decisions and progress with leadership. 

9+ years of product management experience. Past experience with quality, operations, or data-driven tooling is a plus. 

Deep expertise working with ML or AI-powered products. Proven ability to independently drive model improvements, performance trade-offs, evaluation frameworks, and automation quality in close partnership with engineering. 

Proven ability to deliver in cross-functional organizations with multiple stakeholders and interdependencies, in ambiguous and complex situations. 

Strong analytical and problem-solving skills; data-driven approach to prioritization and decision-making. Uses data to measure and continually improve their product and drive business outcomes. 

Ability to adapt communication style depending on audience. Quickly absorbs technical concepts and communicate them to a non-technical audience

Experience making strategic capability decisions in a fast-moving product environment, including driving alignment on tradeoffs in the short, mid, and long-term. 

Proactive, self-motivated, and results-oriented.

  If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.

AI Proficiency

Airbnb is seeking a Staff Platform Manager, Quality to lead the strategy and execution of quality tooling for global support operations. The role focuses on building AI-powered products to evaluate agent performance at scale, partnering with engineering to drive model improvements, and defining the long-term product roadmap.

Product Management

Remote - United States 

Staff Platform Manager, Quality

Airbnb’s mission is to create a world where anyone can belong anywhere. Airbnb Payments team supports this mission by economically empowering Airbnb businesses and our global community of guests and hosts.

Payments is a core part of Airbnb’s business and guest/Host experience, operating across global markets, currencies, payment methods, regulatory environments, and partner integrations. We build and operate Airbnb’s in-house payments platform to support global scale, reliability, compliance, and product flexibility. The team works closely with Product, Design, Data Science, Finance, Legal, Compliance, Operations, and external payment partners to deliver trusted payment experiences for our community.

As an Engineering Manager on Payments, you will lead one or more engineering teams responsible for building and operating critical payments systems. You will set clear team priorities, create an environment where engineers and technical leads can do their best work, and partner cross-functionally to deliver high-quality outcomes for Airbnb's guests, Hosts, and business.

You will be expected to navigate complex and ambiguous problems, balance near-term execution with long-term platform health, and help define a roadmap that supports scale, reliability, regulatory needs, and product innovation. You will partner closely with technical leads to make sound engineering decisions, reduce systemic technical debt, and uphold operational excellence for systems that move money at global scale.

This role requires strong people leadership, technical judgment, stakeholder management, and the ability to create clarity across complex business and technical tradeoffs.

As an Engineering Manager on the Payments, you will:

Collaborate with other senior leaders to define and drive long-term technical strategy and architecture that enables the company’s future vision.

Establish a technical vision and lead efforts to architect, build, and launch reliable, performant, and scalable solutions.

Collaborate with and influence cross-functional partners to design and deliver high-quality products.

Lead team technical initiatives, and work cross-functionally to identify opportunities for business impact, refine, and prioritize requirements for engineering systems.

Lead conversations that align technical efforts with business outcomes and product priorities.

Nurture a culture of technical quality and engineering excellence from design, through code review, to production.

Enable and empower ICs to grow their impact beyond individual contributions, creating opportunities for them to lead technical initiatives that span across platforms and organizations.

Retain, grow and hire a team of high-performing engineers. Build a strong and diverse team capable of turning ambitious product visions into a polished reality.  

3-5+ years of hands-on experience managing an engineering team and 9+ years of relevant software development industry experience in a fast paced tech environment.

Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

Strong expertise in building large-scale backend systems and experience in user facing features.

Strong product and design instinct, previous proven experience building delightfully designed experiences.

Excellent communication and collaboration skills. Proven experience working with many engineering teams and cross functional partners.

Flexible in leadership style, can adapt to a variety of ways of working depending on the situation.

Experience leading and shipping large initiatives with high business impact.

Creating a strong culture of operational excellence with focus on raising the bar for quality, reliability and availability.

Strong communication skill and ability to influence decisions from a wide variety of stakeholders.

Experience fostering an inclusive and engaging team environment.

Able to identify, retain, grow and acquire critical talent.

Strong commitment to fostering diversity, equity, and inclusion within teams.

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.

 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. 

Engineering Management

Stakeholder Management

Airbnb is seeking an Engineering Manager for its Payments team to lead engineering teams in building and operating critical global payment systems. The role involves setting team priorities, partnering cross-functionally to deliver high-quality outcomes, and managing large-scale backend systems to ensure reliability and compliance.

USA - Remote

Engineering Manager, Payments

The mission of the Core Data Science team is to ensure that we are leveraging state of the art science at Airbnb for the highest possible impact on the business and the community. We do that by building reusable tools and models that empower DS teams across the organization; and by tackling the most technically challenging, high impact data science problems the company faces.

Estimating the causal impact of product changes is a core function of data science at Airbnb. This is typically done through short term experiments or quasi-experiments. However, ultimately we are interested not in maximizing the short term impact of what we do, but rather optimizing for the long term. Doing this well requires accurately estimating the long term impact of platform changes through frameworks that connect short-term outcomes to long-term impact. 

In this role, you will develop and improve our frameworks for long-term impact estimation and own the most important estimation problems you identify. We are looking for someone that can develop the science and ensure it is fitted to Airbnb's problem space and stakeholder needs. Success is better long-term impact estimation in practice, not just in theory.

Airbnb is seeking a Staff Data Scientist to develop frameworks for estimating the long-term causal impact of product changes. The role involves building tools for long-term impact estimation and applying econometric and quasi-experimental methods using Python and R to drive business and community impact.

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