The Community You Will Join:

The CRM Engineering team builds world-class tools that drive growth and foster meaningful relationships between Airbnb and its community, including Hosts, Guests, Law Enforcement, Government Regulators, Local Community Leaders, and more. This team tackles some of the most challenging and unique problems faced by our business. Here are a few examples:

• Growth Platform: Designed to increase supply and retain existing hosts.
• Policy Platform: Enables Airbnb to engage with regulatory bodies across the globe regarding short-term rental regulations. This platform tracks regulations that impact the Airbnb business and provides intelligence to address unique business challenges.
• Community Platform: Establishes a social platform to drive community enablement, collaboration, and success.
• Agent Tools: Empowers agents to understand and resolve issues that customers are unable to address on their own.
• Aircover Claims Platform: Facilitates the processing of claims for Aircover insurance products, offering protection to both hosts and guests.

The Difference You Will Make:

The Community Platform team is building a groundbreaking social platform aimed at delivering a differentiated service to our community. This platform will empower local communities to collaborate, support community leaders, host local and global events, provide improved resources, drive engagement, mobilize the community, and offer direct feedback to Airbnb.

We are seeking a highly skilled and motivated Full Stack engineer who is passionate about making a difference through their work. You will play a significant role in shaping the technical vision and then delivering a solution that is flexible, efficient and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

A Typical Day: 

• Work cross-functionally with product, design, and other engineering counterparts to execute on product and business strategy to build novel products and features
• Drive, lead, and contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch.
• You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Provide critical input in team roadmap and technical direction.

Your Expertise:

• 6+ years of full software development experience
• Proficient in at least one major programming language (preferably Java / Kotlin / Scala / Ruby on Rails / Python).
• Passion for delivering products end-to-end: from ideation through planning and scoping to implementation and experimental A/B testing.
• Exposure to architectural patterns of large, high-scale web applications, such as well-designed APIs, high volume data pipelines, and efficient algorithms.
• Passionate about design and building UX products. You bring flexibility to collaboration with design and product partners by presenting tradeoffs and iterating to the ideal solution.
• Outstanding communication and interpersonal skills and detail oriented.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.

The Community You Will Join:

Payments is key for any healthy marketplace, and is just as central to our product at Airbnb. The Payments organization 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 team, our goal is to build and operate scalable systems that power payments ecosystems, host/guest protections as well as community partner  experiences applying core engineering principles that leverage both time-tested and cutting edge technology.

The Difference You Will Make:

As a Senior Staff Engineering for Payments, you will provide overarching guardrails on evolution of the architecture with special focus on Community Partner experiences, catering evolving business needs and coaching other engineers on the team. You will envision and design decision support systems, knowledge management systems as well as workflow orchestration systems that can harness various AI advancements. You will define and drive the architecture strategy, work on cross-functional teams to align on organizational initiatives, set standards and help in governance. You will be a player-coach; in that you will be hands-on when a situation arises (player mode) and hands-off where there is opportunity for other engineers to grow and gain experience (coach mode).

A Typical Day:

As a Senior Staff Software Engineer, 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.
• Be a critic for existing and new technologies, providing a balanced view of the technology landscape and nurture a culture of sustainable innovation.
• Collaborate with and influence cross-functional partners to design and deliver high-quality products.
• Lead multi-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.
• Uplevel engineering quality through design/code reviews, mentorship, and hands-on implementation.
• Mentor and provide technical guidance to junior engineers  through design reviews, code walkthroughs, and knowledge-sharing sessions, fostering a culture of knowledge sharing and continuous learning .

Your Expertise :

• 15+ years of experience in a hands-on software engineering role.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience.
• Experience building, leading, and architecting production systems or features with broad impact.
• Demonstrated technical leadership: hands on experience leading project teams, setting technical direction and strategy, prototyping to iterate ideas, and working cross functionally with Product, Design and Operations teams.
• Strong communication and collaboration skills with both technical and non-technical partners, experience driving initiatives that span across teams, departments and leadership. 
• 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.

Your Location:

This position is India - Remote (Eligible anywhere within India). The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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.

The Community You Will Join:

The Guest & Host team based out of India, operates to ensure high quality supply and merchandising differentiates our brand, by providing tools to be used by 1000+ operations agents for supply vetting and quality moderation. As Airbnb expands beyond the core, it is looking to onboard supply outside of the core stays business which requires enhancing our tools. The operational tasks we face are diverse and rapidly evolving. The current manual processes and lack of optimum tooling capabilities hinder the ability of operation agents to work more efficiently, maintain business continuity, and achieve higher scale. 

The Difference You Will Make:

As a Data Engineer on the Guest & Host team, you will play a pivotal role in shaping the systems that onboard and manage the highest quality supply across Airbnb. You’ll build robust data pipelines and platforms that power end-to-end visibility for supply operations, from onboarding and regulatory compliance to AI-assisted vetting and listing quality enforcement. Your work will directly enable operations, product, and ML teams to scale trusted supply globally, ensuring every home, service, and experience meets Airbnb’s standards. Whether it’s surfacing insights to optimize onboarding flows, enabling smarter audit triggers, or supporting nuanced licensing workflows, your contributions will be foundational to helping hosts join Airbnb efficiently and ensuring guests have access to safe, high-quality stays.
As you build and maintain key components of the critical data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s Data Engineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, andSoftware Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience 
• BE/B.tech in computer science or relevant technical field
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Java, Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

The Community You Will Join:

Airbnb’s mission is to create a world where people can Belong Anywhere. As we grow to achieve that mission, we’re looking to add a technical, hands-on, and mission-driven Technical Program Manager (TPM) to support the Payments and Insurance Engineering team.

This person will partner with our Payments and Insurance engineering, ops, and product teams to build new Payments and Insurance capabilities and deliver strategic business priorities.We are looking for a candidate with a robust technical background who understands the problem space and leverages their expertise to lead multiple strategic programs that deliver value and fulfill key commitments aligned with Airbnb's priorities in payments and insurance.

The Difference You Will Make:

You will play a crucial role in tackling complexity and delivering predictable, consistent, and impactful results.  You will be leading complex projects/ programs that touch multiple product surfaces, services, functions and teams, and hence are required to keep the big picture in focus while being able to dive into the details, working through unique challenges.  Success in this role requires a strong sense of ownership, coupled with the ability to think critically and strategically while managing relationships with cross-functional stakeholders.

A Typical Day:

• Lead planning, execution, and delivery of large cross-functional initiatives aimed at meeting key business priorities.
• Balance broad, outcome-driven thinking with attention to critical details, exercising sound judgment to prioritize where deep focus is necessary to ensure successful execution.
• Shape and influence the technical direction of projects, ensuring we meet stakeholder needs while maintaining high-quality standards. 
• Define and secure stakeholder alignment on clear, measurable success criteria to accelerate initiatives. Regularly assess risks and opportunities, and devise proactive mitigation strategies to maintain momentum and project success.
• Maintain transparent and effective communication channels to keep stakeholders informed of progress, developments, and challenges.
• Lead cross-functional risk and issue management by identifying and documenting risks/issues, assigning clear owners, and driving mitigation to protect delivery commitments
• Expertly present outcomes and updates to senior leadership, clearly and comprehensively articulating trade-offs, risks, and emerging opportunities.
• Define and align on success criteria with relevant stakeholders. Regularly assess risks and identify ways to mitigate them.
• Collaborate with leadership to implement best practices and aligning on priorities across Payments and Insurance.
• Develop a portfolio view of Payments and Insurance programs. Provide leaders with sufficient visibility into execution status, issues, and decisions.  Provide visibility into key performance indicators so leaders are aware of risks and opportunities.
• In this role, you will be expected to work independently with stakeholders and cross-functional leadership, maintain focus on key priorities, and not let important details slip through the cracks or derail a project
• Build atmosphere of trust within the team and inspire team to do their best work and addresses impediments to this quickly and effectively
• Regularly assess opportunities, drive for process improvements, and find new ways of operating, with a focus on simplification and productivity.

Your Expertise:

• Qualifications
• BE/B.Tech in Computer Science or equivalent technical background
• 10+ years in software development industry in big tech companies, with 7+ years leading medium-to-large cross-functional programs (multi-quarter, 30+ engineers) 
• Proficient with Jira, Asana, or comparable program management tooling
• Ownership & Delivery
  • Takes full accountability for outcomes, aligns scope to strategy, manages competing priorities, and drives teams to deliver measurable business impact on time.                                                                                               
  •   Program Management
  • Expert at building integrated plans, managing critical path and dependencies, maintaining RAID logs, and navigating ambiguity to keep complex programs on track.
  • Operates effectively across a highly matrixed org; builds trust with diverse stakeholders and keeps alignment across multiple teams simultaneously.
  • Proactively identifies and mitigates risks, resolves issues before they escalate, and manages cross-team dependencies and escalations to keep programs on track.
  • Thrives in ambiguous environments, builds structure where little exists, and adapts quickly when plans change.                                              
  •   Communication
  • Communicates with clarity and precision across all levels; can distill complex technical concepts for non-technical audiences and influence without authority.                                                
  •   Technical Depth
  • Engages substantively on architecture and trade-offs; a credible partner to engineering who can shape design and implementation decisions, not just track

Nice to have:  Experience developing or working directly on various aspects of large-scale ML/AI platforms. Experience with feature development of AI-powered product experiences.Experience and passion for building and maintaining products leveraging AI models

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.

The Community You Will Join:

• Airbnb Payments team allows any two people in the world to frictionlessly exchange money with easy to use payments services. It is a core strategy to fulfill Airbnb’s belongs anywhere mission.We are building a world-class payments platform that moves billions of dollars, in 191 countries, with 75 currencies, through a complex ecosystem of payments partners. We build and maintain our own in-house global payments platform because no solution exists with the global reach needed. As the platform grows we’ll be adding new payment partners, global licenses, compliance and regulation controls, and building new payment experiences for our guests and hosts.

The Difference You Will Make:

• As a global company, our mission is to develop and maintain the necessary quality engineering processes that scale to meet the needs of both our external customers and internal teams. We strive to ensure that our product and support workflows deliver a seamless experience for guests, hosts, and support agents.
• As a Senior Software Engineer in Payments Quality Solutions org, you will help us meet this challenge by building and maintaining automation coverage for features and releases. You will work directly with the product engineering teams to develop and maintain our test tools, write and test product code, participate in design reviews to architect testable systems, and guide designs and code to enhance modularity and testability. You will be expected to work with engineers in the US to tackle these complex challenges.
• Aligned with our company mission, Belong Anywhere, we value the importance of diversity and belonging in the workplace, and that's why we commit to not discriminating on basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A Typical Day:

• Lead building, maintaining, and effective utilization of automated tests, collaborating closely with engineering teams to ensure robust test coverage for Payments features and releases, and actively participating in the continuous improvement of testing processes.
• Collaborate with CI/CD team to integrate automated testing into CI/CD pipelines, ensuring thorough test coverage at every stage of development.
• Demonstrate excellent troubleshooting abilities, isolate issues, and verify bug fixes. Debug issues found during testing and after release.
• Be a player of our high-performance team to ensure code quality, commitment to craft and operational excellence
• Work closely with cross-functional teams, including product management, development, and other QE teams, in a fast-paced environment with short release cycles.

Your Expertise:

• BE/ B.tech in computer science/engineering or equivalent
• 6+ years of industry experience in software testing and automation 
• Demonstrable knowledge in at least two programming languages (e.g., Typescript, Java, Swift, Kotlin, Python) and strong scripting skills
• Strong hands-on experience with DSA - data structure and algorithm
• Strong knowledge of test automation methodologies, tools, and frameworks
• Strong hands-on experience with automation frameworks
• Demonstrated expertise in developing for testability, test automation frameworks
• Experience integrating automated tests into CI/CD pipelines (e.g., Buildkite, Spinnaker, Jenkins) and version control systems (Git)
• Excellent communication skills towards facilitating interactions with cross-functional teams
• Expertise developing solutions to ambiguous problems, and integrations across multiple teams with significant impact

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.

The Community You Will Join:

The Payments team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.

The Difference You Will Make:

Our team charter is on enabling Airbnb to comply with Tax, Payments,and Legal regulations so that our Hosts can continue to operate in regulated geos. Our products ingest, process, validate, and deliver large datasets to government authorities (often partnered with tax remittance) so our data must be of the highest accuracy and quality. As you build and maintain key components of the critical Compliance data ecosystem, you’ll have the opportunity to contribute to creating standards and best practices for Airbnb’s DataEngineering. Your work on solving complex business challenges at scale will be instrumental in shaping the tools, processes, and standards used by the broader data community.

A Typical Day:

• Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources, including user interactions, listing details, and external data feeds.
• Develop data models that enable the efficient analysis and manipulation of data for merchandising optimization. Ensure data quality, consistency, and accuracy.
• Develop high quality data assets for product use-cases by partnering with Product, AI/ML and Data Science.
• Build scalable data pipelines (SparkSQL & Scala) leveraging Airflow scheduler/executor framework
• Collaborate with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to define data requirements, and deliver data solutions that drive merchandising and sales improvements.
• Contribute to the broader Data Engineering community at Airbnb to influence tooling and standards to improve culture and productivity
• Improve code and data quality by leveraging and contributing to internal tools to automatically detect and mitigate issues

Your Expertise:

• 6+ years of relevant industry experience
• BE/B.tech in computer science or relevant technical degree
• Hands on experience in DSA coding -Data structure and algorithm
• Extensive experience designing, building, and operating robust distributed data platforms (e.g., Spark, Kafka, Flink, HBase) and handling data at the petabyte scale.
• Strong knowledge of Scala, or Python, and expertise with data processing technologies and query authoring (SQL).
• Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
• Expertise with ETL schedulers such as Apache Airflow, Luigi, Oozie, AWS Glue or similar frameworks
• Solid understanding of data warehousing concepts and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and columnar databases (e.g., Redshift, BigQuery, HBase, ClickHouse)
• Excellent written and verbal communication skills

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.

Senior Software Engineer, AI Products (India)

Company Overview

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

The Airfam Products team exists to make every Airbnb employee more productive through a unified digital headquarters experience. As part of a 13-person cross-functional team of engineers, designers, researchers, and product managers, you'll work on platforms that serve Airbnb's entire global workforce.

Our portfolio includes One Airbnb (the company's internal cultural hub with enterprise search, people profiles, and AI-powered chat), OneChat (Airbnb's enterprise AI assistant enabling secure LLM interactions), and a suite of tools that power how employees discover information, connect with colleagues, and get work done.

You'll be joining the AI for Non-Developers workstream, focused on expanding AI productivity tools to all Airbnb employees—building OneChat Agents, deep research capabilities, artifact creation tools, and task automation that make AI accessible to everyone, regardless of technical background.

The Difference You Will Make

As a Senior Software Engineer on the Airfam Products team, you'll be instrumental in building Airbnb's next generation of AI-powered employee experience platforms. Your work will be a force multiplier for the entire company—every AI feature you ship, every system you architect, and every engineer you mentor will amplify productivity across Airbnb's global workforce.

You will:

• Democratize AI by building tools that empower non-technical employees to leverage the power of LLMs
• Drive innovation by taking AI prototypes from concept to production at scale
• Shape the future of how Airbnb employees work, collaborate, and discover information

A Typical Day

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, AI agents, and prompt optimization
• Partner with product managers, designers, and cross-functional teams to translate user problems into AI-powered solutions that serve Airbnb's global workforce
• Develop and iterate on agentic AI capabilities, including multi-step reasoning, tool use, and context-aware decision-making
• Implement evaluation pipelines and quality systems to measure model performance, detect hallucinations, and ensure responsible AI practices
• Own production AI systems end-to-end, including deployment strategies, monitoring, alerting, and incident response
• Collaborate with the DevAI team on AirChat SDK integrations, MCP (Model Context Protocol) implementations, and Glean Action Packs
• Mentor engineers (L6-L8) through design reviews, architecture discussions, and pair programming sessions
• Stay current with the rapidly evolving GenAI landscape, evaluating new models and techniques for potential application
• Balance hands-on technical contributions with technical leadership activities

Your Expertise

Required:

• 8+ years of software engineering experience, with significant focus on building production AI/ML systems
• 2+ years of hands-on experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, embeddings, and retrieval-augmented generation (RAG)
• Strong proficiency in backend technologies (TypeScript, Go, or Java)
• Strong backend and distributed systems expertise, including API design (REST, GraphQL) and cloud infrastructure (AWS, GCP, or Azure)
• Track record of shipping AI-powered products from prototype to production
• Proven ability to collaborate cross-functionally and influence without authority
• Excellent communication skills with ability to distill complex technical concepts for diverse audiences
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Preferred:

• Master's or PhD in Computer Science, Machine Learning, or related field
• Experience building AI agents and multi-agent systems, preferably using Claude
• Experience building integrations using MCP
• Experience with containerization and orchestration (Docker, Kubernetes)
• Background in building enterprise-grade internal tools and developer productivity platforms
• Experience with frontend technologies (React, Next.js) for full-stack AI product development
• Contributions to open-source Gen AI/ML projects or publications at top venues

Your Location

This position is based in Bangalore, India with a hybrid work arrangement. You'll collaborate with teammates across global time zones, with primary alignment to Pacific Time for key meetings.

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.

If you need assistance or a reasonable accommodation during the application and recruiting process, please contact us at: reasonableaccommodations@airbnb.com.

The Community You Will Join: 

The Analytics Centre of Excellence (ACOE) at Airbnb, based in India, is a hub of knowledge and expertise that aims to provide data-driven decision-making, enabling Airbnb's business goals. The ACOE's vision is to build a world-class analytics organization that provides scalable analytics. We work with various business functions such as payments, trust, digital, customer support, hosting, sales, social, compliance, risk, platforms and partnership & economics.

The ACOE's delivery framework is designed to provide relevant and contextual insights for data-driven decisions. This includes a one-stop solution for metrics, dashboards driving actionable insights, optimisation of performance, measuring pre/post feature impact, sizing the ROI of opportunities, prioritisation of opportunities, anomaly-driven alerting mechanisms, root cause analysis of metric deviation, and exploratory hypothesis testing.

We are looking for a hands-on lead advanced analyst  who has demonstrated success in building an analytics team with functional expertise in building analytical solutions. Be a trusted partner to product teams and business leaders, across marketplace teams through providing insights, recommendations, and enabling data driven decisions. This role will sit under the Advanced Analytics family and support Product and Business leaders within our CS organization.

The Difference You Will Make:

• Data thought partner to product and business leaders across marketplace teams through providing insights, recommendations, and enabling data informed decisions.  
• Drive day to day product analytics and build scalable analytical solutions
• Develop a deep understanding of how guests and hosts interact with our CS products including but not limited to AI Assistant, IVR and other agent assisting tools to improve the customer experience.

A Typical Day: 

• Owning the product analytics roadmap, prioritisation & delivery of solutions in the Contact Center Product space. 
• Own projects from start to end: building out timelines, key milestones, providing regular updates to product managers, analytics management and delivery against agreed timelines.
• Lead end-to-end measurement for AI systems, aligning metrics with business outcomes, user experience, and trustworthiness
• Collaborate with engineering to define scalable logging and ensure observability across agentic and LLM workflows.
• Lead the design and evaluate A/B and causal tests to quantify impact of AI features and optimisations.
• Translate insights into strategic recommendations for senior leaders; shape product priorities through data.
• Hire, mentor and up-level team capability in AI analytics, experiment best practices and storytelling.
  
  

Your Expertise:

• Min 8 or more years in industry experience and a degree (Masters or  PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Expert communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment. Ability to conduct rigorous analysis and communicate conclusions to both technical and non-technical audiences
• Strong expertise in Python, SQL, A/B testing platforms and best practices
• Expertise in EDA, hypothesis testing, significance testing, regression, clustering techniques, concepts of NLP/Text Mining, machine learning and deep learning techniques, language model fine-tuning etc
• Understanding of LLM architectures (e.g., prompt chains, retrieval augmentation, orchestration frameworks like LangChain or DSPy).
• Data engineering foundations, including ability to work with data engineering teams on pipeline design, metric computation jobs, data model changes, and maintaining reliable end-to-end metric systems
• Familiarity with Agentic AI systems, human-in-the-loop design, and AI observability best practices
• Experience partnering with internal teams to drive action and providing expertise and direction on analytics, data science, experimental design, and measurement.
• Experience designing and building metrics, from conception to building prototypes with data pipelines
• Familiarity with vector stores, embeddings, prompt instrumentation, and structured logging of LLM interactions would be a plus
• Contact center domain and market place domain knowledge would be a plus

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.

The Community You Will Join:

The BizTech team at Airbnb is crucial to the company's operations, handling critical data related to compliance with Tax, Payments, and Legal regulations. We also manage application data for tools such as CRM, Jira, and Workday, which are essential for Airbnb’s business. Joining this team means working with cross-functional stakeholders, designing scalable solutions, and contributing to a world-class data engineering environment with an emphasis on quality, scalability, and robust engineering practices.

The Difference You Will Make:

We are looking for a hands-on expert to provide technical leadership in addressing BizTech’s diverse data engineering needs and driving long-term strategies and best practices. This key leadership role requires strong collaboration and influence across teams. You'll play a crucial role in understanding business needs, identifying the right data sources, designing efficient data models, and building reliable, scalable data pipelines. As technology continues to evolve, you'll help shape and maintain significant parts of BizTech’s critical data ecosystem. Your contributions will not only address complex business challenges but also help refine and advance Airbnb’s Data Engineering Paved Path, benefiting the entire data community at Airbnb. We believe in solving problems and contributing back to our data community to continuously improve.

A Typical Day /Responsibilities:

• Lead the design, implementation, and testing of data systems, from architecture to production.
• Build batch and real-time data systems that support business needs and critical products.
• Ensure data systems' quality, performance, and stability through rigorous monitoring and quality assurance practices.
• Design and optimize data models to efficiently meet business and product requirements.
• Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to develop scalable systems and drive data-driven decisions.
• Maintain strong partnerships with backend, data science, and machine learning teams to ensure seamless integration of data systems.
• Contribute to long-term data strategies and influence data engineering practices across the organization.
• Mentor and guide team members, fostering best practices for data quality and governance.
• Advance 3rd party data integrations, enhancing frameworks for data exchange, governance, and lineage.

Your Expertise:

• 9+ years of relevant experience with a Bachelor's/Master’s degree in CS/EE (or 6+ years with a PhD).
• Extensive experience in designing, building, and operating distributed data platforms (e.g., Spark, Kafka, Flink) at a large scale.
• Proficiency in Java, Scala, or Python, along with strong skills in data processing and SQL querying.
• Proven track record of designing and optimizing batch and real-time data pipelines.
• Strong collaboration skills with the ability to work with product managers, data scientists, and engineers.
• Advanced problem-solving and analytical skills, with a focus on data quality, governance, and system reliability.
• Excellent written and verbal communication, with the ability to influence stakeholders and convey complex technical concepts.
• Expertise in data modeling, warehousing, and working with relational and columnar databases (e.g., PostgreSQL, MySQL, Redshift, BigQuery).
• Experience with integrating machine learning models into data systems (preferred).
• Strong leadership and mentorship capabilities, with experience guiding teams on best practices and technical strategies.
• Flexible and innovative, with the ability to adopt new technologies to enhance data systems and processes.

The Community You Will Join:

The Vision of the POET function is to be the Customer Champion for Payments Engineering by driving the Flow Level Observibility, Operational Excellence & Reliability Capabilities. POET achieves the same by  

• Being the ‘Voice of Customer’ - understanding customer impacting issues through proactive and reactive channels 
• Driving ‘Root-cause fixes’ by working in collaboration with the Engineering, Product & Partnership teams  
• Enabling the ‘Foundational capabilities’ & AI driven Automations that unlock productivity at scale 

The role:

We are looking for a self-motivated engineer who can work in a highly dynamic environment by collaborating with cross-functional and cross-geographical teams. As a Senior Software Engineer, you are expected to bring in-depth technical expertise of building and managing large scale platforms to improve the availability of our Payments platform for all our internal & external stakeholders. You will also be expected to play a critical role in developing and maintaining the tools and systems that enable Airbnb’s engineering teams to operate services reliably and at scale. You will collaborate closely with other Payments engineering teams & Infra teams to ensure services are instrumented, scalable, and resilient to support our growing business.

The Difference You Will Make:

• Design, implement, and maintain systems and tools at a platform level that support Flow level observability, Payments reliability.
• Identify and drive improvements to increase the Payments Availability, Observability, and Resiliency of Airbnb Payments
• Develop observability standards/ framework for new product readiness to ensure service reliability in SOA and distributed systems
• Build Domain Expertise to achieve Scalability - by understanding the nuances of Payments  - across processing, compliance and infra
• Drive large scale migration and adoption projects on Observability & Reliability by cross-collaborating with various Payments teams 
• Lead initiatives that promote a culture of reliability throughout the organization by improving incident management platforms and instrumentation.
• Continuously evaluate new technologies including AI/ML and industry best practices to embed into Observability & Reliability initiatives.
• Drive initiatives independently to fix root-causes identified from the repeat issues observed across monitoring platforms - challenge the status quo and follow through to completion

A Typical Day:

• Build backend services and APIs to create scalable engineering systems 
• Collaborating across engineering, data & operations teams to embed reliability and resilience in service designs
• Enhance system reliability by leading and coordinating RCAs and long-term fixes 
• Influencing architectural decisions toward reliability and scalability
• Collaborate with large set of stakeholders across engineering, infrastructure and operations teams to align and implement foundational & Operational programs 
• Reviewing code and design docs, giving feedback on product specs and mocks. Mentor and guide less-experienced engineers in reliability best practices

Your Expertise:

• 7+ years of experience in back-end software development focusing on large-scale distributed systems.
• BE/B.tech in Computer Science or a related technical field.
• Strong software development skills in one or more languages such as Java / Python / Kotlin / Scala / Ruby on Rails 
• Experience in building intelligent AI agents, and systems powered by Large Language Models is a big plus.
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
• Familiarity with cloud platforms like AWS or Google Cloud Platform.
• Deep understanding of software development best practices, including version control, automated testing, CI/CD, and code reviews.
• Experience in incident management, monitoring, alerting, and root cause analysis.
• Effective leadership and communication skills to coordinate cross-functional teams during large scale projects
• Experience with initiatives across Auto scaling, Self-healing mechanism, Chaos Engineering, Performance optimization techniques will be a plus. Previous experience in AI/ML will also be a plus. 
• You are a strong problem solver and have worked in a team that is on-call for production systems before
• You are passionate about efficiency, availability, technical quality and system quality
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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.

The Community You Will Join:

• The Payments AI/ML Foundation team builds the shared platforms, services, and guardrails that enable product and data teams across Airbnb Payments  to deliver trustworthy, efficient, and scalable AI capabilities. We provide the infrastructure for training, evaluation, inference, and operations - covering model lifecycle, observability, governance, cost/latency optimization, and developer ergonomics - so teams in Payments can move quickly in AI innovation with confidence.

The Difference You Will Make:

• As a Senior Software Engineer on Payments AI/ML Foundation, you will design and own core platform components that power AI across Airbnb Payments. You will partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs; build tooling and automation that makes AI development safer and faster; and raise the bar on reliability, performance, and governance for models and agents in production.

A Typical Day:

• Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems.
• Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists, identify opportunities for business impact, understand, refine, and prioritize requirements for AI/ML models, drive engineering decisions, and quantify impact.
• Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases.
• Lead, mentor, challenge and grow enthusiastic, collaborative AI/ML culture within the organization

Your Expertise:

• • BE/B.tech, preferably in CS, or equivalent qualification.
  • 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems.
  • Strong programming skills in Python, plus solid data engineering foundations.
  • Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray).
  • Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management.
  • Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals).
  • Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments.
•           Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention).

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.