Airbnb

Frontend Engineer

• Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and drive adoption of paved-path tooling and frameworks.
• Work closely with Android and iOS engineers on the team to develop foundational, cross-platform solutions.
• Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.

Staff Frontend Engineer, Client Data & Networking Platform

Full-stack Engineer

• Work with large scale structured and unstructured data, build and continuously improve novel ML systems, product integrations, and performance optimizations 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 AI/ML 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 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

Senior Software Engineer, AI/ML, Trust

Communications

• Oversees the international celebrity division, working closely with DRIs across US and Canada, EMEA, APAC, LATAM, and China to ensure regional celebrity activity is globally aligned, locally relevant and connected to broader company priorities.
• Bridges global and regional celebrity & entertainment teams by cascading priorities, surfacing opportunities, and removing blockers.
• Proactively identifies efficiencies, develops solutions, and improves processes across the international team as priorities and timelines evolve
• Serves as the global celebrity expert for regional teams, providing negotiation guidance, sharing best practices, and lending direct support to regional DRIs where needed
• Partners with global leads within the Celebrity & Entertainment team to implement and advocate for international priorities across all celebrity programs
• Brings regional opportunities to the Global Celebrity & Entertainment team for visibility and alignment, connecting the right global stakeholders based on the initiative
• Provides regular pipeline updates to Head of Celebrity and Entertainment, ensuring visibility and alignment on international celebrity activity, budget, and metric tracking
• Collaborates with Channel Communications leads — including social, influencer, and creative — to ensure regional celebrity programs are integrated with global priorities and KPIs

Communications Lead, Global Celebrity and Entertainment

• Lead the technical design and implementation of LLM-powered features for OneChat and enterprise AI tools, including RAG pipelines, agent orchestration, 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
• Architect and build production-ready AI/ML-integrated systems, ensuring scalability, reliability, and low latency across multi-cloud environments
• 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, safety, and user satisfaction
• 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 emerging AI technologies and evaluate their applicability to employee experience products
• Balance hands-on technical contributions with technical leadership activities

Senior Software Engineer, BizTech

Recruitment

• Manage and drive a full-cycle recruitment process including sourcing, screening, interview, feedback and offers for all levels of candidates from entry to senior level.
• Conduct market research and mapping to identify top talent that aligns with Airbnb's current and future needs.
• Develop and implement engagement strategies to build relationships with potential candidates
• Build pipeline for multiple requisitions across foundation teams and geographies, considering the importance of diversity and inclusion at top of the funnel.
• Build and nurture talent communities for future requisitions across foundation teams and geographies, ensuring a focus on diversity and inclusion.
• Influence business leaders and educate hiring managers on process, interview best practices, and decision making.
• Maintain data integrity, proactively sharing data-centric updates with internal stakeholders to improve recruiting efficiency and influence hiring decisions.
• Cultivate and maintain meaningful relationships with the broader recruiting team and cross-functional internal teams such as Talent, Diversity & Belonging, Compensation, and Legal.
• Champion an exceptional end-to-end candidate experience, ensuring timely and impactful communication throughout the hiring journey.
• Communicate effectively with business partners and hiring managers, establishing clear timelines, milestones, and expected outcomes.

Recruiter

AI Engineer

• Collaborate with global cross-functional working groups (frontend/backend/ML engineers, design, product and operational teams) to design and build end-to-end AI powered product solutions to improve Airbnb’s customer service experience.
• Use AI tooling to analyze data, build hypotheses, experiment, learn and iterate to improve the Integrated Knowledge Management services.
• Optimize system availability, performance, and scalability while pushing enhancements for improved efficiency.
• Advocate and participate in efforts to advance Airbnb’s engineering processes, technical foundations, and AI tooling.

AI Engineer, Community Support Engineering

Machine Learning Engineer

• Fine-tune state-of-the-art LLMs for diverse use cases while optimizing models.
• Partner with product managers, software engineers, data scientists and operation teams.
• Brainstorm, design and develop AI products like AI Assistant and Autonomous agent.
• Work with large scale structured and unstructured data to continuously improve foundation models.
• Create a multi-year tech roadmap for the team.
• Continuously evaluate foundational models for enhanced performance and efficiency.
• Hands-on prototype, develop and productionize LLM models and pipelines.
• Drive AI architectural decisions and contribute to ML platform architecture.

Principal Machine Learning Engineer – LLM Fine-tuning, Optimization

AI Research Scientist

• Drive foundational and applied research in reasoning engines, planning architectures, and decision-making frameworks at scale.
• Advance techniques in LLM/LRM post-training, reinforcement learning–based decisioning, and knowledge-integrated agents.
• Design methods for plan induction, value estimation, and contingency modeling within intelligent agents.
• Explore and validate protocols for distributed reasoning and joint planning among cooperative agents in multi-agent systems.
• Architect RPD systems that integrate post-trained LLMs/LRMs, graph-structured memory (e.g., KGs), and RL-driven controllers.
• Design recursive task planners, search-based or policy-based reasoners, and belief-state trackers that can interoperate with large model substrates.
• Build and evolve stateful, dynamic models that combine supervised learning with online/offline reinforcement, simulation-based rollouts, and symbol grounding.
• Set direction for planning/reasoning infrastructure within the AI/ML platform strategy.

Principal AI/ML Researcher – Reasoning, Planning, and Decision-making Systems

Engineer

• Lead groundbreaking applied research in Bayesian systems, distributional reinforcement learning, and multi-modal architectures to drive novel advances in AI and Foundational Intelligence.
• Bridge the gap between theoretical AI/ML advancements and real-world production systems.
• Define and drive the architecture of large-scale Bayesian Framework-based AI systems.
• Develop multi-pass sharded Bayesian + Discriminative/Generative single to multi agent systems for scale and efficiency.
• Build and refine Bayesian or Markovian Graph chains to incorporate uncertainty estimation, adaptive decision-making, and probabilistic reasoning.
• Lead technical direction and strategy for AI/ML systems.

Principal Engineer – Bayesian, Large Foundational Systems, Distributional Reinforcement Learning

Data Scientist

• Dig into experiment results to surface high-impact personalization opportunities; translate what you find into crisp scientific problem formulations that balance rigor with speed-to-learning.
• Work closely with product managers, engineers, operations, legal, and privacy partners to align on ML requirements, de-risk design decisions, and gather requirements on explainability and compliance.
• Hands-on develop, evaluate, and ship ML models and data pipelines at scale—batch and real-time, structured and unstructured—using Airbnb’s paved-path tooling and AI native mindset
• Prototype and iterate quickly: turn a new idea into a working model in a prototype, get early signals from an experiment, then productionize what works. You move fast and don’t wait to be asked.
• Present findings and proposals at team reviews and to technical, product, and executive stakeholders—making complex ML results legible without dumbing them down, and generating conviction on the roadmap ahead.
• Stay current with the research community; draw on state-of-the-art advances in recommendation systems, LLMs, and personalization to raise the bar for what the team ships. Occasionally publish externally or present at conferences to advance Airbnb’s scientific standing.

Senior Data Scientist, Guest Travel Insurance – Algorithms

Business Operations

• Lead the strategic development and execution of highly scalable programs across multiple jurisdictions, effectively communicating outcomes and insights to senior leadership.
• Build and maintain program management frameworks that ensure measurable outcomes, sustainable operations, and readiness to meet evolving legal requirements while ensuring Airbnb’s obligations are met with excellence.
• Translate emerging regulatory trends, data, and cross-functional inputs into actionable business strategies for senior leadership.
• Influence cross-functional roadmaps and corporate strategy through deep expertise in regulatory frameworks.
• Drive high-impact strategic projects aimed at enhancing efficiency and effectiveness while also aligning with broader business goals.
• Analyze data to identify trends, surface anomalies, and perform the necessary investigation

Programs and Business Operations Lead, Cities

Operations

• Accountable and responsible for the holistic performance of a partner or service or language
• Enable and oversee a strong operational environment for your partners and services and ensure high quality support for the community from your partners
• Set up for success your partner / service to deliver exceptional quality support to our community
• Prioritise high impact focus areas with your partner/service in line with the company strategy
• Actively work with core internal functions such as Quality, Workforce planning, Training to understand insights on performance and based on them, action within your partner / service
• Act as a single point of contact, representing your partner / service across Delivery and CS
• Present & report up on performance & progress to leadership across Delivery and CS
• Hold partners accountable for the delivery of Airbnb goals
• Own end to end the operationalization and successful adoption of new initiatives, projects and changes that impact your partner or service or language
• Input collectively with other ROMs to Sr Management and into the global delivery business reviews to provide a complete performance narrative to our leadership
• Collaborate with your peers to ensure consistency & scalability in Global Delivery
• Identify and drive partner and service level continuous improvement opportunities that enhance performance, both day to day tactical and strategic forward looking
• Collect feedback and be the voice of our community and partners to improve performance and optimize processes for the partner, service and global community
• Collaborate with internal function such as BPI, PMO, Product on the launch of initiatives, projects and changes to bring improvements to your partner or service and mitigate potential risks

Partner Operations Manager

Financial Planning and Analysis

• Support strategy discussions on spend allocation &amp; pacing between Finance and Marketing leadership
• Partner with Financial Operations to track Marketing media and production budgets in order to inform strategic allocations
• Establish KPI framework for marketing channels and campaigns. Set and monitor KPI targets, OKRs, and efficiency goals
• Develop ROI calculation methodologies with DS and Research, and lead holistic campaign reviews - accounting for qualitative and quantitative impacts
• Support weekly reporting needs from Marketing and Hosting orgs as well as quarterly campaign performance reviews
• Conduct deep dives into business trends and drivers of variance. Independently lead data extraction, analysis, visualization, and presentation.
• Partner with Marketing, Product Marketing and Hosting leadership to develop strategy and support business performance

Senior Principal, Marketing Strategic Finance – Analytics

Affiliate Manager

• Own the full relationship with a portfolio of Tier 1 connectivity partners.
• Shape how these partners show up on Airbnb, driving outcomes that matter for hosts, guests, and Airbnb’s business.
• A key contributor to North Star API strategy to develop Joint Business Plans and QBR frameworks.
• Design incentive structures and deal terms to align partner behavior with Airbnb’s strategic objectives.
• Hold a global view of the connectivity partner ecosystem and understand regional nuances.
• Shape partner behavior and build relationships at the C-suite level.
• Drive pricing, availability, and booking strategies.

Senior Connectivity Partner Lead

• Own positioning and launch communications plans for new features, products and corporate/community updates.
• Establish engagement and business goals for key announcements and campaigns. Work with analysts and data scientists to develop KPI and measurement frameworks.
• Develop campaigns, draft messaging frameworks and positioning decks, and oversee communications execution (including writing, creative, etc).
• Identify key audiences and segments to focus on, and build plans that support these goals.
• Work in partnership with owned one-way and two-way channel owners (Community Center, Resource Center, social, CX, email) to define editorial approach and messaging, then manage campaign-related feedback to the business to inform decision making
• Develop proactive and reactive communications plans
• Work with channel owners to report out on key reach and engagement metrics as well as relevant business metrics. Partner with the ops team to manage & distribute sentiment dashboards, both announcement-specific and ongoing.
• Champion the community and user in all decisions
• Oversee creative collaboration between product design, content strategy, community and marketing teams
• Serve as both an individual contributor and a cross-functional leader