דרושים ב-Airbnb ב-India, Bengaluru

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 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 road map, prioritization & 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 scale 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 optimizations.
• 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:

• 12+ 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).
• 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

Offices: Bangalore, India

A Typical day:

Your contributions take a variety of shapes:

• Work with large scale structured and unstructured data, build and continuously improve cutting edge Machine Learning models for Airbnb product, business and operational use cases.
• 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 machine learning models, drive engineering decisions, and quantify impact.
• Work closely with other trust defense and platform teams to tackle the changing landscape of fraud attacks.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Examples include: Anomaly detection models, ML models for continuous risk evaluation.

Your Expertise:

• 6 to 10 years of relevant industry experience in applied Machine Learning, including BE/B.tech or PhD in relevant fields
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation, anomaly detection)
• Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. Hive)
• Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with the Trust and Risk domain is a plus.

Offices: Bangalore, India

The Community You will Join:

• Airbnb is a company with a mission to create a world where anyone can belong anywhere, achieved through a unified team adhering to core values. The BizTech department plays a crucial role in this mission by providing reliable internal systems, enterprise technologies, innovative products, and technical support, fostering an empowered and inclusive progress. They also create technical breakthroughs and strategies that redefine the concept of belonging anywhere, delivering value to both the business and its people.
• The Integrations team of BizTech manages integrations and APIs across various SaaS products and internal systems. A Senior Systems Engineer within this team focuses on building and managing automations, APIs and integrations, and managing Integration platforms. They work closely with fellow Integrations team members, partner teams and engineering teams to integrate SaaS products and build custom solutions.

A Typical Day:

• Together with the team, take ownership of a diverse catalog of system integrations and integration platforms.
• Architect and build integrations, backend services, and APIs to connect various systems and automate processes.
• Drive cross-functional initiatives and collaborate with internal stakeholders to understand their pain points, requirements, impact, and timelines, and present them with design and effort analysis.
• Collaborate within your team to review the designs and code of team members, and to have your design and code reviewed, giving and receiving feedback.
• Support the production operations of the integrations.
• Document designs and runbooks, and Participate in the full Software Development Life Cycle (SDLC).

Your Expertise:

• 8+ years of industry experience and 3+ years of MuleSoft architecture and full life cycle implementation experience from requirements gathering/analysis to Go-Live and Post production support.
• Expertise in designing and implementing integrations and APIs with Mulesoft, adept at developing Java programs from the ground up, experienced in utilizing both REST and SOAP APIs, and skilled in working with relational databases alongside strong SQL proficiency.
• Comfortable tackling ambiguous problems, unblocking oneself, discussing problem-solving approaches, and articulating trade-offs.
• Experience integrating a portfolio of SAAS applications and knowledgeable of securing data; understands PGP, SSH, OAuth, HTTPS, SFTP
• Experience with data streaming and with messaging infrastructure and storage.
• Experience using Anypoint Platform (API Manager, Runtime Manager, Exchange) and Runtime fabric.
• Experience with Github version control, CI/CD, AWS System Operations and with with Agile development
• Ability to manage multiple projects simultaneously and eager to take accountability and ownership of systems, integrations and processes.
• Have a strong desire to mentor the careers and development of other engineers
• Possesses strong verbal and written communication skills.
• BS in Computer Science / MIS or equivalent work-related experience
• Experience with Infrastructure deploy tools such as Chef and Terraform is a big plus

Offices: Bangalore, India

This role requires heavy cross-collaboration with teams across other Platform organizations (Payments, Finance, Partnership) and functions (Product Management, Operations, SOX) to inform, validate, track and influence the implementation and maintenance of the payments platform. This team is currently growing, and the scope includes opportunities to build deeper infrastructural services to provide a platform with which we can easily fulfill business requirements, and offer payment services to people anywhere in the world in a compliant, reliable and cost-effective manner.

Core aspects of the role include:

• Setting and communicating strategy and direction of the team to evolve and maintain current payment systems.
• Refining team processes and work divisions to enable effective prioritization, planning, and communication of the team’s sprint commitments
• Building relationships and working rhythms across peers and stakeholders in both India and the US
• Collaborating with organization Staff and Sr. Staff engineers to assist team in aligning architecture trade-offs
• Coaching and mentoring the team with empathy to do their best work while growing in their roles & responsibilities
• Creating deliberate plans and opportunities for addressing technical debt & quality, facilitating learning, and encouraging cultural engagement
• Participating in India site level and global initiatives to create a strong Payments organization

• 3-5+ years of experience as an Engineering Manager, with 9+ years of industry experience with a BS/Masters or 6+ years of industry experience with a PhD
• Strong coding abilities and experience with architectural patterns of large, high-scale applications.
• Experience architecting, building, and maintaining highly available services in a large service-oriented architecture (SOA).
• Familiarity with patterns, libraries and frameworks for building and testing services, and service-to-service communication.
• Expertise proactively managing and communicating dependencies across parallel tracks of work and cross-functional stakeholders
• Demonstrable experience creating expectations, coaching, and mentorship plans for ICs
• Comfortable independently establishing and validating priorities and direction in the absence of Product Management
• Track record of contributing to Technical Quality practices and roadmaps for the organization
• Experience managing distributed teams of varying experience levels
• Experience managing and interacting with geographically distributed teams and partners is a plus
• Previous experience building payment systems is a plus

Offices: Bangalore, India

As part of the Trust Engineering team, you will be in charge of designing large-scale systems to detect and mitigate fraud, abuse, and safety risks across our platform. You will be deeply involved in building highly available and real-time risk detection services in close collaboration with product, data science, and operations teams to understand ever-evolving attack vectors. You’ll also work closely with other Trust engineers—whether focused on defense or platform—to build tools and frameworks that make our defenses more adaptive, efficient, and resilient.

Your contributions may take a variety of forms, including:

• Designing, implementing, and operating resilient and scalable distributed systems.
• Collaborating with cross-functional partners—including software engineers, product managers, data scientists, and operations teams—to understand business impact, define requirements, and drive engineering decisions.
• Building and evolving platform capabilities to address the ever-changing landscape of fraud, abuse, and safety risks across Airbnb.
• Partnering with teams across Trust, Payments, and Community Support to identify and implement system improvements that increase the reliability, scalability, and efficiency of our defenses.
• Contributing critical input to the Trust Engineering roadmap and long-term technical direction.
• Developing, productionizing, and operating machine learning models and pipelines at scale, for both batch and real-time use cases.
• Mentoring other engineers and helping them grow their technical and collaboration skills.
• Advocating for and contributing to improvements in Airbnb’s engineering processes and foundational systems.

Your Expertise

• 9+ years of industry engineering experience.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience
• Strong programming (Scala / Python / Java/ C++ or equivalent) and data engineering skills
• Hands on experience leading project teams and setting technical direction.
• Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models)
• Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.
• Experience with platform architecture patterns and best practices. Experience with building and leading infrastructure is a plus.
• Experience with the Trust and Risk domain is a plus.
• Experience with hands on machine learning model development is a plus.

Offices: Bangalore, India

A Typical Day:

As a Senior Software Engineer on the Payments Processing team, your mission is to design and build a payments gateway platform that is fast and easy to integrate with, reliable for money movements, smart to route our business cost-effectively, resilient to any external processor downtime in any market, and accurate for Financial reporting. We’re looking for engineers who are independent, thoughtful, creative, and passionate about building the best payment gateway platform.

• Critical to make technical decisions
• Provide technical guidance for engineers and teams
• Advise on architecture and propose solutions to payment problems that span multiple teams and organizations.
• Consult on the performance, scalability, architecture, reliability and engineering best practices of payment gateway systems.
• Lead a cross-team group of engineers and partner with product, data, finance, operations to push the boundaries of what payments gateway platform can support.

Your Expertise:

• 5-9+ years of industry experience
• Backend or Full-Stack experience in a work-setting or classroom-setting.
• Work experience, open-source code, or coursework in any of the following languages: C/C++, Java, C#, Python/Django, Ruby/Ruby on Rails
• Evidence of exposure to architectural patterns of a large, high-scale web application (e.g., well-designed APIs, high volume data pipelines, efficient algorithms).
• Understanding of data structures and problem solving approaches, and ability to articulate trade offs
• Passion for creating highly effective technology platform for our growing global workforce
• Experience with Agile development
• Be future looking; we might be focused on immediate regulations, but need to build for the long term
• Comfortable with tackling ambiguous problems and unblocking yourself
• Focus on building high quality products; every one of our flows affects the business bottom line
• Data driven in how you solve problems and validate you've solved them correctly
• Have a strong desire to mentor the careers and development of other engineers
• Possesses strong verbal and written communication skills.
• BS in Computer Science / MIS or equivalent work-related experience

Offices: Bangalore, India

Include insight to the working environment:

• Inclusive and supportive work environment. We promote sustainable engineering practices, well-being / healthy team dynamics, and value differences.
• Career development-- internal mobility, mentoring opportunities, and leadership development opportunities.
• Work on launching and expanding our protection products across global markets.
• Seize greenfield opportunities on a fast-growing team.
• Deliver on a strategic, multi-year platform roadmap and global rollout.
• Collaborate with product, engineering, data science, data engineering, and numerous platform teams within Airbnb.

The Difference You Will Make:

• We are looking for a self-motivated leader who is interested in working in a highly dynamic environment by collaborating with cross-functional and cross-geographical teams. As a Staff Engineer, you would be expected to bring in expertise of managing large scale, and platforms, and support Airbnb’s Tax Engineering and scale it to efficiently adapt to ever evolving regulatory needs. The systems, APIs, experiences, and tools that you develop will be used across guest and host surfaces around the world.
• As a Staff engineer, you’ll be responsible for establishing a technical vision and building alignment within engineering and cross-functional teams - all while delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Your own unique skill set, rich experiences and thought leadership will be key to success in this role.

A Typical Day:

• Lead the development and refinement of systems powering Tax.
• Partner with technical leaders inside and outside of Tax to design and build the next-generation Invoice system that is service-oriented, configurable, auditable and efficiently leverages existing Airbnb capabilities.
• Work closely with Product, Pricing, Payments, Operations and other cross-functional partners as part of a globally distributed team, to define and ship impactful features.
• Partner with other engineering teams in Airbnb to serve our users holistically.
• Lead and mentor engineers — both inside and outside your immediate team — in building solutions and developing skills.
• Advocate for and participate in efforts to advance Airbnb’s engineering processes and technical foundations. Drive systemic improvements by identifying patterns to streamline development, reduce toil and increase technical quality and operational excellence over time.

Your Expertise:

• 9+ years of experience in a hands-on software engineering role in backend / full-stack development.
• Bachelor’s and/or Master/PhD’s degree, preferably in CS, or equivalent experience
• Passionate about efficiency, availability, technical quality and system quality.
• Excellent communication and collaboration skills and the ability to work well within engineering organization and cross functions.
• Love collaborating via code reviews and architecture discussions, and are motivated to improve their teammates’ productivity
• Experience working with a microservice architecture at scale.
• Experience in Fintech, Tax, Invoicing is a bonus
• [Bonus] Experience working on a Product team or customer-centric software supporting a medium to large engineering organization.
• [Bonus] Show motivation for personal growth and learning new technologies to support the team’s needs

position is completely Remote- India

Offices: Bangalore, India