Role Description At Airbnb, we believe in creating a world where anyone can belong anywhere. The Trust Emerging Defense team is focused on building new products and defenses for new unattended risks and attacks, as well as providing peace of mind to our Airbnb guests and hosts. Your work on the Emerging Defenses team will directly provide safety and privacy to Airbnb users worldwide. You will be leading a team of engineers and work cross-functionally building toward the safest communication platform. You will be involved in core company launches and build for the future of safe communication regardless of medium: phone, VoIP, SMS, in-app chat, and video conferencing. A typical day includes: - Building a marketplace of products that ensure safety and privacy of guests and hosts. - Working collaboratively with cross-functional partners, including software engineers, data scientists, product managers, and operations to identify opportunities for business impact, and refine and prioritize requirements for fraud detection and mitigation. - Hands-on developing, productionizing, and operating machine learning models and pipelines at scale, including both batch and real-time use cases. - Enhancing and extending risk investigation tools to enable efficient decision-making on behaviors that could result in physical safety or property damage incidents. Qualifications - BS/MS/PhD in Computer Science, Machine Learning or a related field (or equivalent industry experience). - 2-5 years of experience in software engineering in a fast-paced tech environment. - Strong programming skills (Java / Scala / Python / C++ or equivalent) with deep expertise in architectural patterns and designing scalable, fault-tolerant distributed systems in a service-oriented architecture. - Exposure to ML or interest in ML. Requirements - Experience partnering with cross-functional leaders to define product/technical strategy and drive alignment. - Work on projects that require extensive collaboration, influencing and decision-making capabilities. - Desire to work collaboratively with cross-functional partners, such as design, product, data science, infrastructure, policy, operations, and legal partners. Benefits - Base pay range: $162,000 — $186,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Company Description Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

• Work on evolving the integrations platform; • Focus on contracts (Avro and OpenAPI), pipeline automation, and reliability (SRE mindset); • Create, evolve and version Avro and OpenAPI contracts; • Ensure compatibility across contract versions (events and APIs); • Implement automated contract validations in CI/CD pipelines; • Create and maintain pipelines in Azure DevOps and GitHub Actions; • Work on standardizing contracts and integrations between systems; • Implement reliability improvements (error handling, retries); • Support implementation of observability (logs and metrics); • Perform ad-hoc adjustments to backend services (C#, Python, and Java); • Support API Management initiatives (standardization and API exposure); • Assist in analysis and resolution of production incidents.

• Ship modernization work at a pace that surprises people • Use AI agents (Cursor, Claude Code, Codex) to blow through framework upgrades, refactors, API extraction, test scaffolding, and documentation • Build reusable playbooks the team can actually follow • Modernize a real .NET + SQL Server stack into something you'd be proud of • Build with security and privacy as defaults, not afterthoughts • Work with analysts, stakeholders, and other engineers to turn business problems into working software

• Lead the design and evolution of a scalable, multi-product data platform capable of supporting rapid growth (e.g., 600K to 2.5M+ patients) and expansion into new therapeutic areas • Drive large, cross-team engineering initiatives end-to-end—from architecture and planning through production—while owning dependencies, aligning stakeholders, and ensuring predictable delivery timelines • Architect, build, and optimize robust batch and streaming data pipelines with a focus on scalability, reusability, and enabling downstream team ownership • Modernize legacy systems into future-state, AI-first data infrastructure by defining best practices, improving observability, and advancing monitoring and failure detection capabilities • Partner closely with data science, product, and commercial teams to deliver reliable, AI-driven data solutions, ensuring alignment across product areas and enabling high-confidence integrations and outcomes • Deeply understand your product area, and how it impacts other product areas to effectively propose changes and how it impacts the success of the company.