• Ship full-stack features as part of a Pod, working alongside senior engineers using technologies like Node.js, React, Golang, MongoDB, ElasticSearch, and AWS • Build and maintain APIs, and learn how to integrate with external services and databases the right way, with an eye toward data integrity and security • Build front-end interfaces with growing attention to user experience, responsiveness, and accessibility • Get exposure to AI-powered feature development and start contributing to it as your skills grow • Work closely with product managers and more senior engineers to understand requirements, and start forming your own opinions on design and UX along the way • Write unit and integration tests, and build the habit of testing thoroughly from the start of your career • Participate in code reviews, both giving and receiving feedback, as a core part of how you grow • Share in production support responsibilities on a rotating basis, including on-call and bug triage, so you learn what it really takes to run software in the real world • Explore new AI tools and full-stack techniques, and bring what you learn back to the team • Ramp up on unfamiliar parts of the codebase using AI tooling, documentation, and the people around you, and get comfortable asking questions early and often

• Build Blazor WASM components with clean, reusable patterns and accessibility in mind • Implement Minimal API endpoints in .NET with OpenAPI, validation, and performance in focus • Contribute to our MAUI mobile app, including shared component libraries • Work with EF Core and SQL (Postgres); define/maintain database relationships and manage code-first EF Core migrations • Support real time UI behavior using SignalR where needed • Leverage Claude Enterprise to generate, refactor, and maintain test scripts efficiently, and help define best practices for AI-assisted testing on the team. • Integrate authentication/authorization via Microsoft Entra ID (OIDC/OAuth2, MSAL, roles/scopes) • Ship via Azure DevOps (repos, pipelines, environments), following branch policies and PR reviews • Improve code quality through SonarCloud rules aligned with our standards • Generate and consume API clients from OpenAPI/Swagger for typesafe integration • Instrument services with distributed tracing and logging using Azure Application Insights • Help monitor service health, failure rates, and performance; participate in alert triage for staging/production • Work in three-week sprints with Product to refine user stories and acceptance criteria

Role Description The Community You Will Join: - We connect Airbnb’s community with the right information, in the right place, at the right time. - We tailor Messaging & Notifications so hosts on Airbnb can streamline their operations. - Travelers get just the information they need to enjoy their stay worry-free. - We are building new connections within our community to help enrich the experience of hosting & traveling on Airbnb. - The data team utilizes industry-leading tools, builds scalable data systems, and applies cutting-edge ML models to provide insights and empower all products in the Communication and Connectivity (CnC) organization. The Difference You Will Make: - This role will lead key initiatives to design and build large-scale, distributed data systems - both batch and real-time processing. - The data will power machine learning models and unlock new product features. - You’ll be at the center of cross-functional collaboration, bridging backend, frontend/client, and machine learning engineering teams. - CnC is applying GenAI and large language models (LLMs) to power products that enhance the Airbnb experience. - We're building a robust ML platform to power our product ambitions. A Typical Day: - Shape the team’s long-term vision and roadmap in close collaboration with cross-functional partners across Airbnb. - Build strong relationships with partner engineering teams, including backend, client, data science, analytics, and ML. - Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time. - Implement robust offline and online feature building processes to enable faster production of ML products. - Architect and build ML infra and optimize for performance, scalability, and cost-effectiveness. - Mentor and develop engineers on the team, while also contributing to and influencing the broader data engineering community at Airbnb. Qualifications - 9+ years of relevant industry experience with a Bachelor’s and/or Master’s degree in CS/EE, or equivalent experience, or 6+ years of experience with a PhD. - Strong CS fundamentals, and knowledge of architecture and common design patterns. - You’re passionate about being in a product-focused environment where everyone cares deeply about customer impact. - You have experience of running data processing pipelines in production using distributed data processing frameworks like Apache Spark or Flink. - Experience collaborating with client, backend, ml, analytics teams, product and business partners. - Effectively work across team boundaries to establish overarching data architecture, data flow, and provide guidance to individual teams. - Experience working on/with end-to-end Machine Learning products. - Excellent communication skills, both written and verbal. Requirements - 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. - You must live in a state where Airbnb, Inc. has a registered entity. Benefits - Base pay range: $204,000 — $255,000 USD. - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Our Commitment To Inclusion & Belonging - Airbnb is committed to working with the broadest talent pool possible. - We believe diverse ideas foster innovation and engagement. - All qualified individuals are encouraged to apply. - We strive to provide a disability inclusive application and interview process. - If you are a candidate with a disability and require reasonable accommodation, please contact us.

Role Description At Clari + Salesloft, our Principal Engineer will be pivotal to our company’s success. You will be a key member of our fast-growing and high-performing Product Engineering org. We are looking for experienced Principal Engineers who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications. On a day-to-day basis, you will be responsible to: - Shape future-proof interfaces that are easy to build against and meet the requirements of client-facing teams. - Brainstorm with Product Managers, Designers and Engineers, and other cross-functional partners to conceptualize and build new features for our growing user base. - Produce high-quality results by leading large cross-functional projects that have a significant impact on the business. - Debug production issues across services and multiple levels of the stack, and uplevel the observability and reliability of the overall system. - Own architecture decisions across multiple teams, drive long term technical strategy, and raise the bar for engineering excellence company-wide. - Mentor Staff and Senior engineers. In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. Qualifications - 12+ years of experience in building distributed systems or platform infrastructure designed for high-scale, data-intensive workloads. - Expert-level proficiency in Java or a similar object-oriented language and familiarity with infrastructure tooling (Airflow, Kubernetes, Ray, Terraform), service frameworks (FastAPI, gRPC), and observability platforms (Prometheus, Grafana, DataDog, Splunk). - Deep experience with cloud infrastructure, ideally AWS or GCP, including Kubernetes clusters (GKE/EKS), serverless architectures, and managed services (e.g., Lambda, Cloud Run, ECS). - Architected solutions requiring distributed data infrastructure: message queues (Kafka, Kinesis), caching systems (Redis, Memcached), database optimization, and building resilient, fault-tolerant architectures. - Expertise with SQL (Postgres) / NoSQL (MongoDB) and data warehouse modeling; capable of optimizing complex data queries, joins, aggregations, and transformations. - Solid improvements of platform monitoring and optimizations, including identifying performance bottlenecks, latency optimization, cost management, and scaling high-throughput API services efficiently. Benefits - Inclusive and supportive workplace where everyone belongs and can thrive. - Focus on culture add, not culture fit, believing teams are made stronger by unique perspectives, experiences, and identities. - Equal Opportunity Employer providing employment opportunities without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. Company Description Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.