Staff Advanced Analytics Product jobs at Airbnb

The Difference You Will Make:

As a staff software engineer on the Content Platform team, you’ll provide hands-on technical leadership to build a no-code or low-code platform to bring together a thoughtful user experience for Marketing to author, segment, and plan lifecycle management of communications on onsite ( ) and offsite (emails, push notification) channels. You’ll be working alongside a team of talented software engineers to improve our usability of our platform of tools, reducing time-to-market for our internal teams, and developing technical strategic planning towards driving a best-in-class scalable platform. You will also work closely with XFN partners like design, product and marketing stakeholders to dive deep into solving problems that have a direct growth impact on our business.

A Typical Day:

As a Staff Software Engineer on Content Platform, you will:

• Design the future state of our platform and systems by incorporating product-first mentality of our users and their end-to-end workflows
• Lead engineers—both inside and outside your immediate team—in building out these technical solutions
• Participate in the development of product and UX requirements by engaging early and often with designers, product managers and Marketing stakeholders to help steer teams on the most efficient path towards overall goals
• Nurture a culture of technical quality from design, through code review, to production operations
• Mentor other engineers in developing their technical and collaboration skills
• Identify and propose solutions to problems coming in the way of technical and product engineering excellence
• Collaborate with internal teams across Marketing Technologies, ML, Growth Marketing, and Creative
• At the staff+ level, our engineers are responsible for establishing a technical vision and then delivering a solution that is flexible, always available, efficient, and scales with the needs of the business. Each individual brings their own unique skill set, experiences, thought leadership and technical expertise to solve these technical challenges for Airbnb.

Your Expertise :

• 9+ years of experience in a hands-on software engineering role.
• Bachelor’s and/or Master’s degree, preferably in CS, or equivalent experience
• Technical leadership: hands on experience leading project teams, setting technical direction and strategy and mentoring engineers.
• Passionate about efficiency, availability, technical quality and system quality.
• Passion to level-up those around you through curiosity and fostering a collaborative and inclusive team environment.
• Proven experience in defining product/technical strategy and driving alignment with cross-functional leaders and stakeholders.
• Strong communication and collaboration skills with experience driving initiatives that span across teams, departments and leadership.
• Bonus - if you’ve worked in Marketing Technologies

Offices: United States

The Community You Will Join:

Our Payments product organization has 2 domains:

• Payments and Commerce Platform - facilitating money movement and exchange of value while also fueling growth for our business
• Payments Risk and Compliance - ensuring safe and efficient payment processing

A Typical Day:

• Champion the vision for a world-class guest payins experience and processing on the Payments Platform
• Shape and execute a thoughtful, multi-year roadmap to make paying as seamless and delightful as staying at an Airbnb
• Partner closely with talented teammates across Engineering, Operations, Analytics, Partnerships, Treasury, Finance, Platform, Product Marketing, and UX Design, aligning on goals and turning big ideas into reality
• Craft clear product narratives, user stories, and requirements that keep teams inspired and focused
• Launch experiments, define meaningful success metrics, and plan smooth rollouts that scale
• Define, monitor and analyze KPIs that inform payment success & health
• Lead the way in integrating partner products and services that elevate what platform intelligence and efficiency
• Collaborate to build actionable playbooks for solving guest payment challenges and supporting our global community
• Stay curious and connected to the latest in payments, bringing fresh ideas, best practices, and innovations to Airbnb

Your Expertise:

• 7+ years of product management experience, launching new payment methods or partner integrations across the payments ecosystem (including gateways, PSPs, networks, issuers, and acquirers)
• Deep platform payments product management know-how, building flexible products that empower a range of business customers
• Framework oriented thinker
• Hands-on collaboration with engineers, developing use cases, building inspiring narratives, prioritizing features, and making thoughtful trade-offs between short-term and long-term bets
• Proven ability to lead through influence, working cross-functionally with engineers, data scientists, finance, compliance, legal, and business partners
• Clear, compelling storyteller, confident sharing both the “why” behind your vision and digging into the details when needed
• Strong decision-making chops: skilled at prioritizing and navigating resource constraints to deliver maximum impact
• Comfortable in a startup-like environment, embracing pace, change, and ambiguity with positivity and resilience
• Highly data-driven, with robust analytical skills and a passion for using insights to drive great outcomes

Domain Experience:

• Transaction Processing: Deep experience with real-time and batch processing, payment routing, and failover strategies across global PSPs
• Transaction Orchestration: Experience managing Cardholder Initiated Transactions (CIT), Merchant Initiated Transactions (MIT), incremental/capture flows, partial authorizations, and scheduled billing and smart retries
• Payment Retry & Optimization: Implementing intelligent retry logic, dynamic routing, and decline code analysis to maximize acceptance rates
• Authentication: Experience implementing SCA and 3DS2
• Partner tools: Experience leveraging network tools (e.g. Network Tokens, Account Updater) and PSP capabilities to drive approvals
• Alternative Payment Methods: Integrating global/local payment rails (e.g., digital wallets, open banking, instant payments)
• Settlement & Reconciliation: Experience with multi-currency settlement, reconciliation workflows, and chargeback handling
• Payment UX: experience optimizing multi-device, multi-currency payment flows a plus
• Knowledge and experience using collaborative tools and techniques of the trade (e.g. Airtable, SQL, Google Docs, Scrum, Agile, Figma, Invision)

Offices: United States

The Difference You Will Make:

You’ll serve as a critical finance and strategy leader, bringing hands-on analytical expertise to shape and optimize Brand Marketing investments. Success means delivering actionable insights, rigorous financial analyses, and measurable improvements in KPI attainment, campaign ROI, and budget efficiency. By driving cross-functional alignment and championing operational excellence, you’ll empower Airbnb to make data-driven, strategic marketing decisions that fuel business growth.

A Typical Day:

• Lead budget forecasting and tracking, partnering with Financial Operations to ensure accurate monthly projections and media spend allocations.
• Develop and monitor KPI frameworks for marketing channels, setting and reviewing targets, OKRs, and efficiency metrics.
• Conduct deep analytical dives into business trends and campaign performance, independently extracting, visualizing, and presenting data.
• Collaborate with Brand Marketing, Product Marketing, Hosting, and Data Science teams to design, execute, and evaluate marketing strategies.
• Support weekly and quarterly reporting requirements for Marketing and Hosting organizations, preparing executive-ready presentations.
• Facilitate complex, large-scale processes across global teams and agency partners, proactively driving strategic connections and alignment.
• Lead ROI analyses for brand campaigns — integrating quantitative and qualitative impacts, and championing holistic campaign reviews

Your Expertise:

• 8+ years of progressive experience in finance, analytics, business operations, FP&A, strategy consulting, or related fields.
• Demonstrated mastery of financial modeling and quantitative/qualitative analysis, especially in the context of brand marketing (TV, Social, Online Video, Podcast, Radio, OTT).
• Proven track record in budget planning, forecasting, and media buying operations or similar domain.
• Exceptional communication skills, with experience crafting executive-level presentations and reports from complex data sets.
• Strong cross-functional influence and stakeholder management — adept at structuring and leading global, multi-team processes.
• Comfortable working in ambiguous, high-growth environments; proactive and self-starting with a bias for action.
• Preferred: Experience collaborating with international partners, agency teams, and familiarity with media buying operations.

Offices: United States

A Typical Day:

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, forecasting and the presentation of data to identify trends and patterns that can inform decision-making.
• Collaborate closely with Product, Engineering, Finance, Operations, Data Science, Product Insights Analysts, Data and Analytical Engineering, Capacity Planning and other cross-functional teams to provide actionable insights.
• Develop and implement advanced forecasting models to not only predict key performance metrics but also understand the metric’s actual performance.
• Design, execute, and analyze experiments to measure feature impact and guide product iterations. Leverage causal methods when traditional randomized trials aren’t available.
• Design and build metrics / dimensions to monitor product and business performance.
• Build sophisticated reporting and analytical tools that empower stakeholders to make data-driven decisions.
• Present findings and recommendations to stakeholders, including senior leadership, in a clear and concise manner.
• Stay up-to-date with the latest industry trends and advancements in quantitative and qualitative data analysis techniques.

Your Expertise:

• 10+ years of industry experience with a degree (Masters or PhD is a plus) in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research).
• Deep technical expertise in data and statistical analysis, experimentation, causal inference, forecasting methods, and familiarity with LLMs.
• Proficiency in programming languages such as Python or R for data analysis and modeling.
• Experience working with large datasets and SQL for data extraction and manipulation.
• Self-starter, thrives in ambiguity, and has an investigator mindset of wanting to get to the bottom of problems.
• Strong problem-solving and critical thinking abilities, with a keen attention to detail.
• Excellent communication and presentation skills, with the ability to effectively communicate complex concepts to both technical and non-technical stakeholders.
• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions.
• An agile, growth-minded approach, demonstrated through a history of driving projects from ideation to impact.
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments.
• Prior experience in the technology industry or a fast-paced, data-driven environment is preferred.

Offices: United States

A Typical Day:

• Work closely with the core data engineering team, data services team, and other product engineering teams in the Community Support Platform, understanding their productivity and data authoring pain points, and build solutions to resolve them scalably and flexibly.
• Deeply understand the different logging and data processing frameworks and collaborate with data infrastructure teams and evolve how we integrate data flows between different frameworks and serving layers worlds, ML and non-ML, and allow systems to deal with data more effectively
• Own challenges end-to-end, proactively addressing gaps and acquiring new skills to resolve complex issues.
• Mentor and inspire your teammates in enabling code quality, operational excellence, and shared learning.
• Participate in all phases of software development from architecture/design through implementation, testing, and on-call.
• Develop, automate and standardize: logging, enriching, serving data for ML training, inference, benchmarking and monitoring (anomaly detection, safe deploys) to build the next generation of Generative AI products
• Enable data engineers and analytics engineers to author data products
• Design, build, and maintain robust and efficient data pipelines and APIs that collect, process, and serve data from various sources, including backend events logged as part of LLM flows, customer interactions across multiple channels, CS agents, LLM evaluations etc.

Your Expertise:

• 9+ years of industry experience at the intersection of platform data engineering and software engineering with BS, MS or PhD in CS or similar
• Proven ability to not only developing data processing pipelines, but design guardrails and abstractions that scale—reducing toil and raising confidence for all engineers
• Deep experience building distributed batch/streaming pipelines (e.g., Spark, Flink, Kafka) and working with distributed storage (e.g., HDFS, S3).
• Expertise with ETL orchestration tools (Airflow, Luigi, AWS Glue, etc.).
• Strong knowledge of data warehousing, relational databases (PostgreSQL, MySQL), and columnar stores (Redshift, BigQuery, ClickHouse, HBase).
• Comfort driving architectural discussions across services, repositories, and environments.
• Skilled in SQL and data processing (batch and streaming), with a track record of analyzing large datasets to uncover gaps and insights.
• Excellent collaboration and communication skills; able to influence technical direction across teams.

Offices: United States

A Typical Day:

• Work closely with cost and performance cross-functional partners and engineers across all teams at Airbnb to optimize the performance and the operating cost of our infrastructure.
• Work with our largest services to optimize their performance through profiling, analysis and tuning.
• Build distributed performance tooling to constantly collect performance data and develop automation to surface performance bottlenecks.
• Lead continuous load testing in production to determine performance bottlenecks and vulnerabilities of airbnb.com.
• Work on production performance issues to minimize latency for our customers.
• Work to modernize Airbnb’s software stack touching every layer.
• Build infrastructure to deploy the latest hardware to our AWS Kubernetes clusters in order to minimize their footprint.

Your Expertise:

• 10+ years of relevant performance optimization industry experience in a fast paced, high growth tech environment.
• A working knowledge of processor vectorization activation for various COTS applications
• Deep software tuning and optimization experience, Java preferred but other major languages such as C++ acceptable.
• Expertise in using metrics to uncover performance issues.
• Familiarity with system hardware as it pertains to performance.
• Familiarity with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• Familiarity with container and orchestration technologies such as Docker and Kubernetes.
• You have excellent communication skills and the ability to work well within a team and across engineering teams.
• You are a strong problem solver and have solid performance debugging skills.
• Experience of load testing software either in production or through benchmarking
• You are passionate about efficiency and performance

Offices: United States

The Difference You Will Make:

We are seeking a highly skilled and motivated engineer who is looked up to as a backend engineering expert and leader for our Data and ML merchandising platform. We are at the early journey of building a company-wide merchandising centric platform and products in a multi-year effort. As a leader in this team, you will have the unique opportunity to drive multiple years of technical vision and architect a merchandising system which serves online and offline data merchandising insights from scratch. You will be in charge of the whole lifecycle of big yet ambiguous problem solving from prototyping to leading a group of talented engineers to deliver high quality work through multiple releases.

A Typical Day:

• Provide critical input and be able to influence technical direction.
• Architect backend and ML end-to-end solutions for millions of users to drive organic bookings and improve user experience
• Influence and collaborate with stakeholders to adopt team goals and roadmaps.
• Work with cross functional partners (Product Managers, MLEs, DS, Analytics etc) to design and deliver high-quality systems.
• Mentor engineers on day to day basis to ensure quality and directions, both within and outside of the organisation

Your Expertise:

• 12+ years of industry experience as backend engineer with a BS, MS or PhD in a relevant field
• Experience in building and scaling high-quality and high-traffic products (or systems).
• Ability to evaluate technical approaches and design product solutions to solve real-world problems.
• Ability to drive alignment, manage projects and effectively collaborate with large scale stakeholders.
• Experience working with ML solutions and product platforms is a plus
• Experience working in merchandising and discovery domains is a plus

Offices: United States