Airbnb

Program Manager

• Taking primary responsibility for program management of our AirCover for Host Program
• Developing project / program plans and readiness trackers for multiple business critical initiatives
• Drive metric definition and storytelling explaining strategic priorities’ impact on objectives and key results
• Simultaneously managing multiple ongoing projects and tracking their execution progress throughout all phases of their lifecycle
• Reengineering existing project management processes where necessary to meet AirCover’s future needs
• Other items as required

Engineering Manager

• Lead the organizational and technical direction of our current and future infrastructure that powers the detection and mitigation of fraud at Airbnb.
• Lead a robust team by attracting top talent, mentoring individuals and managing conflict.
• Nurture a culture of technical quality from design, through code review, to production.
• Collaborate with internal teams across Trust, Payments, Community Support Products, and the Hosting to gain agreement by developing and communicating a clear and impactful vision and priorities for the team.
• Carefully plan, track, and report on work of the team, identifying problems early.
• Be conversant in systems design/architecture, can reason about trade-offs, and ultimately own & defend technical decisions / technical direction for your team

Engineering Manager – Trust Platform

Machine Learning Engineer

• 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.
• Hands-on develop, productionize, and operate Machine Learning models and pipelines at scale, including both batch and real-time use cases.
• Leverage third-party and in-house Machine Learning tools & infrastructure to develop reusable, highly differentiating and high-performing Machine Learning systems, enable fast model development, low-latency serving and ease of model quality upkeep.
• Example projects include: feature platform, model interpretability, hyperparameter optimization, concept drift detection.

Senior Machine Learning Engineer, Relevance and Personalization

Full-stack Engineer

• Design, implement, and operate resilient and scalable distributed systems
• Build and evolve platform capabilities to tackle the changing landscape of fraud attacks by collaborating with engineering teams in Airbnb’s Trust, Payment and CSP organizations.
• Provide critical input in Trust Platform’s team roadmap and technical direction.
• Identify opportunities to improve the reliability, scalability, and efficiency of Trust Platform services and drive their implementation.
• Mentor other engineers in developing their technical and collaboration skills
• Advocate and participate in efforts to advance Airbnb’s engineering processes and technical foundations.

Senior Software Engineer, Trust Platform

Manager

• This role will own the product vision, strategy, and execution for critical evaluation workflows for risk detection & mitigation
• Your mandate is twofold:
• Design principled evaluation frameworks that determine the right size and shape of holdouts, control groups, and manual review samples—without degrading model performance or decision quality.
• Drive automation that meaningfully reduces manual reviews, operational burden, and customer friction, while preserving the labels and signals required to keep models accurate and resilient over time.
• Success in this role is measured by sustained reductions in manual review volume, improved approval rates, stable or improving loss performance, and evaluation systems that scale as risk vectors evolve
• A typical day involves reviewing how models, holdouts, and manual reviews interact across the decisioning funnel—examining false positives, label coverage, approval lift, and downstream loss impact.
• You will work closely with Data Science, Machine Learning, Risk Engineering, and Operations to understand where current evaluation approaches over-sample good users, introduce bias, or create unnecessary friction.
• You will define the end-to-end product vision for risk evaluations and learning loops, building a multi-year roadmap that balances statistical rigor, operational efficiency, customer experience, and regulatory expectations.
• You will own requirements and execution for systems that:
• Dynamically size and manage holdouts
• Optimize when and how manual reviews are invoked
• Preserve high-quality labels without over-reliance on human review
• Enable faster, safer iteration on risk models and policies
• You will partner deeply with Fraud & Safety, Trust, Legal, Policy, Customer Support, and Payments Operations to align on decision principles and ensure evaluation strategies are understood, trusted, and actionable across the company.
• Collaborate with Payments Operations and Support to reduce manual effort, handle edge cases better, and unlock high-quality decisioning at scale.
• Key to success for this role is to partner deeply with other Airbnb platform organizations such as Fraud & Safety, AirCover, Legal, Customer Support, Policy Enforcement & Payments Operations teams to align on the vision and mission and coordinate tactics to deliver mutually aligned outcomes.

Staff Platform Manager – Payments, Evaluations, Automation

Analyst

• Partner with Strategic Finance leaders and Data Scientists to improve forecast accuracy, enhance existing revenue models, and support the development of new financial forecasting frameworks.
• Collaborate with cross-functional partners, including Policy, Treasury, and Payments, to assess and quantify key risks and opportunities across the business.
• Develop and maintain reporting that defines, tracks, and monitors performance of forecasted metrics at a country-level granularity.
• Create presentations in Google Slides to communicate key trends and forecast performance, demonstrating strong judgment in identifying what matters and a willingness to dig into root causes.
• Support monthly and quarterly financial review cycles, ensuring high-quality analysis and timely deliverables.
• Deliver actionable insights through reporting and analytics, proactively identifying opportunities to enhance processes for greater accuracy, efficiency, speed, and accessibility.

Analyst, Revenue Forecasting

Recruitment

• Work closely with hiring managers to develop and execute on sourcing strategies for a variety of roles
• Partner with the recruiting team by building a pipeline of top talent through multiple sourcing channels
• Conduct research to understand the competitive landscape
• Create and execute innovative sourcing strategies and recruiting campaigns to achieve hiring goals
• Engage and qualify technical candidates for relevant openings and assist them through the recruitment process
• Develop a strong understanding of the recruiting process and drive/recommend improvements
• Track the progress of leads/candidates with great attention to detail
• Regularly track and analyze pipeline and performance data to share with internal stakeholders
• Represent the company with integrity and professionalism

Senior Sourcer

• Partner with Design Managers, Directors, and cross-functional leaders to align on program scope, timelines, and deliverables.
• Establish operating rhythms across design teams, including communication cadences, resource planning, and leadership check-ins.
• Lead the planning and execution of large product launches, ensuring design workstreams are delivered with quality and on time.
• Serve as the bridge across Design, Engineering, Product Marketing, and Business teams, ensuring visibility, communication, and risk management.
• Drive continuous improvement by running internal initiatives to strengthen operational excellence and cross-functional collaboration.
• Anticipate and resolve obstacles across teams, proactively elevating risks and implementing solutions.

Lead Program Manager – Design

Data Scientist

• Advance Airbnb’s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications
• Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement
• Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement
• Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches
• Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems

Senior Data Scientist, Platform – Integrity

Procurement

• Partner with business leaders across the organization to understand needs and translate them into sourcing strategies and negotiation plans.
• Conduct and lead end-to-end sourcing activities, including opportunity assessments, RFPs, supplier selection, and complex contract negotiations.
• Analyze spend data and market trends to identify savings, innovation, and risk mitigation opportunities across Professional Services and related categories.
• Apply AI tools and automation to streamline data analysis, supplier management, and contract workflows.
• Identify and implement continuous improvement initiatives, simplifying sourcing processes and driving measurable efficiency gains.
• Build and manage supplier relationships to ensure ongoing value delivery, service quality, and alignment with Airbnb’s diversity and sustainability objectives.
• Collaborate cross-functionally with Legal, Finance, and Vendor Management to develop clear commercial terms, ensure compliance, and support sound financial outcomes.
• Serve as a thought partner to stakeholders, offering insights on supplier capabilities, market dynamics, and cost optimization strategies.
• Influence vendors and internal partners to drive innovation, continuous improvement, and long-term value creation, while leading complex negotiations and contracts that mitigate risk, enhance accountability, and maximize total cost of ownership.

Strategic Sourcing Manager

User Researcher

• Conduct practical and impactful quantitative research on our community of hosts and guests.
• Uncover insights about users by using sophisticated and innovative methodologies, measurement strategies, experiments, and mixed-methods research.
• Partner and share insights with product teams, other insights teams, data scientists, marketers, policy managers, and executives.

Staff UX Researcher

• Drive the technical vision and execution for our KV stores and caching infrastructure.
• Mentor engineers, shape architectural decisions, and ensure the team delivers high-impact solutions.
• Define the multi-year technical roadmap for caching and KV infrastructure at Airbnb.
• Evolve our KV store from derived-data workloads to support system-of-record use cases.
• Build a multi-tenant caching solution for Airbnb.
• Guide the rearchitecture of our KV write path to remove infrastructure complexity while improving replication lag.
• Oversee frameworks for high-traffic, zero-downtime migrations between critical data platforms.

Staff Software Engineer, Technical Lead – KV Stores, Caching

• Work with product and ML engineers to explore problem spaces and devise solutions to customer problems
• Prototype new ideas and influence the product strategy
• Proactively collaborate with other engineering teams to develop an iterative plan to improve our APIs and architecture
• Collaborate with other product engineers and partners to develop backend to support data and AI solutions
• Create technical and execution strategies for new projects and drive hands-on implementation of those solutions
• Identify areas for improvement and champion the adoption of best practices in product development, engineering architecture, and testing
• Perform technical design reviews and code reviews
• Mentor and grow more junior engineers.

Staff Software Engineer, Listings & Host Tools, AI

• 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, to drive aligned and impactful outcomes
• Design, develop, and maintain reliable, scalable data pipelines - both batch and real-time - that collect, process, and serve data from diverse sources across Airbnb
• 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

Staff Software Engineer, Communication & Connectivity

Community Manager

• Understand the competitive landscape. Challenge the status quo. Influence design and product marketing team and inspire people towards a unified outcome.
• Define success with clearly measurable objectives and key results.
• Define a winning product strategy and create a sound roadmap.
• Align the vision, OKR, strategy and roadmap with senior leaders and stakeholders across the company.
• Prioritize work based on inputs from many stakeholders, while being flexible to iterate/change.
• Maintain product backlog and the product roadmap.
• Partner with senior tech leads and execute the vision with cross function leaders from multiple teams.
• Present product roadmap and status to the leadership on an ongoing basis.