• Lead and grow a multidisciplinary team of data scientists and software engineers building production machine learning models and supporting systems for behavioral detection. • Drive the research, development, evaluation, and operational monitoring of models that analyze large-scale network telemetry, including time-series and behavioral anomaly detection. • Establish high standards for experimental rigor across the team, including statistically sound experimentation, clear evaluation methodologies, and disciplined model validation. • Own the technical direction for production ML systems supporting behavioral detections, including experimentation frameworks, model lifecycle management, data pipelines, and monitoring. • Collaborate closely with Product Management and Security Research to translate machine learning capabilities into practical detection signals that improve SOC analyst workflows. • Influence the product roadmap by identifying opportunities where applied machine learning can materially improve detection quality and analyst productivity. • Mentor senior data scientists and engineers while fostering a culture of scientific rigor, intellectual curiosity, and technical ownership. • Represent the machine learning function in cross-organizational discussions and communicate technical strategy and outcomes to senior leadership. • Stay current with advances in machine learning research and engineering practices and guide the team in adopting techniques that meaningfully improve detection performance.

• Define multi-year technical roadmaps for UI Tooling with clear, measurable outcomes tied to UI Foundation goals • Drive adoption of AI-powered design-to-code workflows across Design and Engineering, establishing Airbnb as a leader in this space • Build cross-functional alignment with Figma, product teams, and AI/ML partners to advance Airbnb's designer and engineer enablement capabilities • Represent UI Tooling in org-level planning and investment conversations, shaping prioritization and surfacing dependencies across UI Foundation • Lead, develop, and grow a team of engineers working across design tooling, developer experience, and AI-powered workflows • Partner with design and engineering leaders to identify workflow pain points and prioritize the highest-leverage tooling investments • Guide technical decisions across the team — from platform architecture to AI integration patterns — bringing a senior engineering point of view to system design • Manage staffing, prioritization, and execution consistency, driving clarity and unblocking work across long-horizon platform investments • Mentor and develop engineers on the team, supporting career growth and raising the technical bar • Foster an inclusive team culture grounded in psychological safety and high performance

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 UI Foundation team has a deep history at Airbnb, responsible for the design system, accessibility, motion, and the tooling that connects how Airbnb designs and builds products. Within UI Foundation, the UI Tooling team is the connective tissue between Airbnb's Design Language System and the day-to-day workflows of hundreds of designers and engineers across the company. UI Tooling owns the platforms, integrations, and tooling that power how designers and engineers work — spanning design tooling, UI engineering workflow tooling, collaboration platforms, and increasingly, AI-powered workflows across all three. As AI enablement for designers and engineers accelerates, this team sits at the center of some of Airbnb's most strategic infrastructure investments. The Difference You Will Make: As the Engineering Manager of UI Tooling, you will provide the dedicated leadership this team needs to execute with consistency, clarity, and long-term strategic direction. You'll manage and develop a team of engineers, own the multi-year roadmap across UI Tooling's core areas, and serve as a cross-functional partner to Design, Product, and AI teams driving the next generation of designer and engineer enablement at Airbnb. This role directly unblocks UI Foundation's broader ambitions. With you in this role, the team gains the focus and stability it needs to move fast on initiatives that have a blast radius across every team at Airbnb that builds products. You will own strategy and execution across five key areas: - AI Usage of the Design System: Figma Code Connections and Integrations, UI Development Skills and Agents, Prototyping Skills and Agents, Design Skills and Agents - Core UI Development Workflow & Tooling: Component development and documentation tooling, design-to-code platforms, migration tooling - Core Design Workflow & Tooling: Internal design platforms, Figma enablement, design tooling and Figma plugins - Collaboration Workflow & Tooling: Motion spec tooling and core motion frameworks, prototyping platform contributions and tools - Education and Adoption: Enabling designers, engineers to be properly educated in the tools we’re providing and ensuring adoption of those tools A Typical Day: Strategic Leadership: - Define multi-year technical roadmaps for UI Tooling with clear, measurable outcomes tied to UI Foundation goals - Drive adoption of AI-powered design-to-code workflows across Design and Engineering, establishing Airbnb as a leader in this space - Build cross-functional alignment with Figma, product teams, and AI/ML partners to advance Airbnb's designer and engineer enablement capabilities - Represent UI Tooling in org-level planning and investment conversations, shaping prioritization and surfacing dependencies across UI Foundation Day-to-Day Execution: - Lead, develop, and grow a team of engineers working across design tooling, developer experience, and AI-powered workflows - Partner with design and engineering leaders to identify workflow pain points and prioritize the highest-leverage tooling investments - Guide technical decisions across the team — from platform architecture to AI integration patterns — bringing a senior engineering point of view to system design - Manage staffing, prioritization, and execution consistency, driving clarity and unblocking work across long-horizon platform investments - Mentor and develop engineers on the team, supporting career growth and raising the technical bar - Foster an inclusive team culture grounded in psychological safety and high performance Your Expertise: - 10+ years of software engineering experience, with 5+ years in an engineering management role leading platform, tooling, or design systems teams - Strong technical foundation in frontend or cross-platform development, with the depth to engage credibly on architecture decisions - Track record of driving long-horizon platform investments from strategy through execution, with strong cross-organizational influence and stakeholder management - Experience building or leading developer experience, design tooling, or design system infrastructure at scale - Familiarity with Figma's ecosystem — plugins, Dev Mode, Code Connections, or similar design-to-code workflows - Commitment to inclusive leadership and creating environments where engineers can do their best work - [Bonus] Experience working with AI-powered developer or designer tooling, or integrating LLM capabilities into product workflows Your Location: 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. 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. 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: reasonableaccommodations@airbnb.com. 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. How We'll Take Care of You: 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. Pay Range $212,000—$265,000 USD

As the manager of the Digital Natives Solutions Architect (SA) team, you will focus on growing and developing a team of SAs, driving the adoption of the Databricks Platform at the largest, fastest-growing tech companies. You'll be responsible for leading the team in establishing best practices throughout the full lifecycle of the customers' workloads. You will help each team member achieve success, productivity, and career growth. You will also represent Databricks as a technical leader with some of its most important customers. This role will work in close collaboration with sales, services, product, and engineering to drive solutions and outcomes for these highly technical customers. You will utilize excellent communication skills to clearly explain and demonstrate complex solutions to both internal and external stakeholders. This role will report to the Director of Solutions Architecture for the Strategic Digital Native Business Unit. Responsibilities: - Hire and develop a team of deeply technical Solutions Architects capable of guiding digital native customers across a wide range of data, analytical, and AI workloads. - Adapt the SA team's skills and engagement model to match the needs of Digital native customers - Consistently meet or exceed targets by making sure the SA team knows how to technically qualify workloads, identify important use cases, build proof of concepts, and establish themselves as trusted advisors throughout the customer life-cycle - Travel to customer sites for executive sessions, technical workshops, and building relationships - Establish relationships across internal organizations (engineering, product, services, sales, etc.) to ensure the success of the customers and team - Stay current with emerging Data and AI trends in the digital native tech sector What we look for: - 4+ years of experience in the data space with a technical product (i.e. data warehousing, big data, cloud infrastructure, or machine learning) - 3+ years of experience building and leading technical customer-facing teams: hiring, onboarding, and supporting team members in a high-growth environment - A history of building a territory, growing strategic accounts, and exceeding targets - Inspiring a team vision about the unique nature of the digital natives business - A history of execution by managing workloads and consumption with sales, product, and engineering counterparts - Experience owning executive alignment in accounts that guide strategic decisions Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $172,500—$237,150 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.