Careers at TripAdvisor

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. What You will do: As a Data Scientist on our experimentation team you will work with product teams across Viator to measure whether the changes they ship actually worked, defining the metrics that matter and making sure the decisions that follow are sound. Part of your contribution is making experimentation easier for the teams you support, through reusable tooling, clear documentation and consistent practice. Viator sells experiences that travellers often book once a year, in a marketplace where supply is finite and shared, so you will be learning to navigate problems where the obvious analysis can give the wrong answer, with support from senior practitioners who have done it before. You will: Design and analyse experiments end to end with the product teams you support, working directly with the Product Managers and Engineers who will act on the results. Turn product questions into testable hypotheses with pre-registered primary metrics, appropriate guardrails, and an honest view of what the available traffic can and cannot detect before the experiment starts. Define and instrument feature-level metrics, understanding how metric choice affects sensitivity, interpretation and the decision a team is trying to make. Investigate results properly, checking assignment integrity, exposure and data quality before conclusions are drawn, and treating a surprising result as something to diagnose rather than announce. Build reusable queries, tooling and templates and apply our shared protocols, so teams can run good experiments faster and with less rework. Communicate findings clearly to technical and non-technical audiences, including inconclusive and negative results, with a recommendation attached rather than a table of numbers. Look beyond whether a change worked to why it worked, and flag when a result may not hold for other users, markets or time periods. Carry out analysis beyond experiments, including opportunity sizing, funnel and behavioural analysis, and observational measurement where randomisation isn't possible. Document hypotheses, designs, outcomes and decisions so results remain comparable and the organisation compounds what it learns. Grow your own depth in experimentation and causal inference, with review and mentorship from senior and principal data scientists. Skills & Experience Experience: Solid experience in data science or a similar quantitative role, supporting and influencing product teams. Statistical & Experimentation Foundations: Sound understanding of experimentation beyond running it through a platform, including statistical power and minimum detectable effect, the difference between an inconclusive result and no effect, why peeking and post-hoc metric selection cause problems, and the common ways an experiment can be invalid. Technical & Modelling Expertise: Strong proficiency in Python and SQL, with hands-on experience of statistical analysis and experimentation, and some exposure to statistical modelling or machine learning techniques such as regression and classification. Product Acumen: Ability to define, implement and operationalise product and feature-level metrics, with support from senior colleagues on the most complex cases. Partnership: Experience working closely with Product Managers and Engineers as a trusted partner, and a willingness to make things easier for those teams through tooling, documentation and consistent practice. Critical Thinking: A habit of asking whether a result is trustworthy before asking what it means, and comfort saying so when it isn't. Communication: Clear written and verbal communication, with the ability to explain statistical reasoning to people without a statistical background and to hold your position constructively when a result is unwelcome. Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Experience with metrics that are difficult to measure, such as sparse conversion, heavy-tailed revenue, or slow-to-observe outcomes. Familiarity with variance reduction techniques and why they matter for sensitivity. Exposure to causal inference methods for situations where randomisation isn't available. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in-house platform. Experience in a high-scale consumer product environment such as a marketplace, e-commerce or travel platform. An interest in how modern AI tooling can make analysis faster and experimentation more accessible to product teams. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #LI-Hybrid #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. What You will do: As a Senior Data Scientist on our experimentation team you will work across a range of product areas, acting as the partner that Product and Engineering teams rely on to know how to set up and run investigations, whether a change worked and why it worked. Much of your impact will come from improving how those teams experiment rather than running their experiments for them: the metrics, guidance, tooling and protocols that let them move quickly without sacrificing rigour. You will also lead the measurement problems a standard A/B test cannot answer, where traffic is limited, users compete for the same supply, or the outcomes that matter take months to appear. You will: Own the experimentation and measurement strategy for your domain, from how questions are framed through to how decisions are made and reviewed. Provide the guidance, tooling and protocols that improve your partner teams' experimentation velocity without sacrificing rigour. Lead the design of experiments where a standard A/B test is not sufficient, including low-traffic surfaces, users competing for the same supply, long-horizon or censored outcomes, and changes that cannot be cleanly randomised. Go beyond whether a change worked to why it worked and whether it generalises across users, markets and time. Assess how the decisions your teams make affect platform health and growth, and raise it when short-term wins carry a longer-term cost. Define and operationalise the metric framework for your domain, including guardrails and proxies for outcomes that take too long to observe directly. Improve the sensitivity of measurement in your area through metric design, variance reduction and better exposure definition, so teams can detect the effects they care about in a realistic timeframe. Standardise the recurring analytical and experimentation processes in your domain, using automation and AI capabilities where they improve consistency or save time. Influence roadmap and prioritisation through evidence, including advocating against work when the evidence doesn't support it. Raise technical quality in the teams you work with by reviewing experiment designs and analyses, and mentoring less experienced data scientists. Skills & Experience: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only apply it. Technical & Modelling Expertise: Expert level proficiency in Python and SQL. Deep, hands-on experience with statistical modelling, (quasi) experimentation, multi-arm bandits, and a wide range of machine learning techniques such as regression, classification and clustering. Product Acumen: Demonstrated ability to define, implement and operationalise crucial product and feature-level metrics from scratch. Partnership & Enablement: Demonstrated ability to improve how other teams work by providing guidance, tooling and protocols, increasing both the speed and the quality of their experimentation rather than absorbing the work yourself. Decision Impact & Platform Health: Ability to critically assess how product decisions affect platform health and growth over time, and to bring that perspective into how experiments are designed and interpreted. Standardising at Scale: Experience standardising processes, frameworks or methods across multiple teams, including the use of AI and automation to make good practice the default. Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority. Critical Thinking: Leader in critical thinking, with a demonstrated habit of establishing whether a result is trustworthy before establishing what it means. Communication: Exceptional ability to explain measurement, method and uncertainty clearly to technical and non-technical audiences at every level. Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Experience with experimentation in a marketplace, where interference between users and shared supply complicate measurement. Experience with variance reduction beyond a single pre-period covariate, and a view on what works when the metric of interest is infrequent or heavy-tailed. Experience building or validating proxy metrics for long-horizon outcomes. Exposure to Bayesian approaches, particularly for low-traffic surfaces or pooling evidence across small markets. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in-house platform. Experience in a high-scale marketplace, e-commerce or travel platform, and familiarity with the seasonality and long purchase cycles that come with them. Experience improving experimentation practice at team or organisational level through frameworks, tooling or enablement. Experience applying AI or Large Language Model capabilities to improve analytical throughput and experimentation quality. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in-house platform. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #LI-Hybrid #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. At Tripadvisor experiences, the only thing we love more than travel is data. We slice it, we dice it, and we use it to empower our decision making. What You will do: As a Principal Data Scientist you will be a leading individual contributor responsible for how experimentation works across the organisation. You will lead through technical depth, setting the standards others work to and raising the quality of measurement and decision-making across the function. You will build the capability that lets teams experiment well without central support: the standards, tooling and protocols that make good practice the default, and a strategy for how it develops over time. Both the speed and the reliability of decision-making should improve as a result. You will also take on the measurement questions we cannot currently answer well, where traffic is thin or the outcomes that matter take months to appear. You will: Set the technical standard for experimentation across Product Data Science, from conventional A/B testing to quasi-experimental and Bayesian methods, and make it practical through protocols, frameworks and tooling. Partner with Product, Engineering and Data Platform teams to improve experimentation velocity without sacrificing rigour. Critically assess how experimentation and the decisions that follow it affect platform health and growth, and make that relationship visible to leadership. Own the measurement approach for Viator's most complex questions, where standard experimentation is insufficient and the method has to be designed rather than selected. Develop and validate the statistical methods the organisation relies on, including simulation-based verification that they behave correctly before teams depend on them. Act as the final technical authority on measurement validity, adjudicating disputed results and determining what the evidence does and does not support. Standardise recurring analytical and experimentation processes across the function, using automation and AI capabilities where they materially improve consistency, throughput or quality. Design and land methodological improvements with organisation-wide impact, such as variance reduction for difficult metrics, approaches for low-traffic surfaces, proxy and surrogate metrics for long-horizon outcomes, and designs that hold up where users compete for shared supply. Grow the technical depth of the wider team by reviewing designs, mentoring senior data scientists, and improving how people reason about measurement. Advise on where experimentation is the wrong tool and define what should be done instead. Skills & Experience: Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organisation. Statistical & Experimentation Expertise: Authoritative command of experimentation in all its forms, from experimental design and variance reduction to causal inference, bandits and Bayesian methods. You should be able to develop and validate methodology, not only apply it. Technical & Modelling Expertise: Expert level proficiency in Python and SQL. Deep, hands-on experience with statistical modelling, (quasi) experimentation, multi-arm bandits, and a wide range of machine learning techniques such as regression, classification and clustering. Product Acumen: Demonstrated ability to define, implement and operationalise crucial product and feature-level metrics from scratch. Partnership & Enablement: Demonstrated ability to improve how other teams work by providing guidance, tooling and protocols, increasing both the speed and the quality of their experimentation rather than absorbing the work yourself. Decision Impact & Platform Health: Ability to critically assess how product decisions affect platform health and growth over time, and to bring that perspective into how experiments are designed and interpreted. Standardising at Scale: Experience standardising processes, frameworks or methods across multiple teams, including the use of AI and automation to make good practice the default. Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority. Critical Thinking: Leader in critical thinking, with a demonstrated habit of establishing whether a result is trustworthy before establishing what it means. Communication: Exceptional ability to explain measurement, method and uncertainty clearly to technical and non-technical audiences at every level. Education: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. You could be an especially great fit if you have: Experience with experimentation in a two-sided marketplace, where interference between users and finite shared supply complicate measurement. Experience building and validating proxy or surrogate metrics for long-horizon outcomes, and a clear view of how far they can be trusted. Experience with Bayesian and hierarchical approaches, particularly for low-traffic surfaces or pooling evidence across many small markets. Experience building or materially improving experimentation platforms, measurement frameworks, self-service capabilities or data products. Experience in a high-scale technology company, marketplace, e-commerce business or travel technology organisation, and familiarity with the seasonality and long purchase cycles that come with them. Breadth in statistical modelling and machine learning, such as regression, classification, clustering and bandits, alongside your experimentation depth. Experience applying AI, Large Language Models, agentic AI or automation to improve analytical productivity and decision-making effectiveness. A reputation for raising the standard of thinking and decision-making in every team you join. Experience with SaaS experimentation tools such as Statsig, Eppo or GrowthBook, or with an in-house platform. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #LI-Hybrid #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. The Tripadvisor Experiences Engineering team is distributed across Europe and is responsible for the platform, mobile apps and all their supporting infrastructure. We run the systems that help operators build their businesses and those which enable third parties to utilise our inventory. We provide the tools which help our customer services team provide world class service to travellers and operators internationally. About the Role We’re looking for a Software Engineer II - Android to join our fast-growing team. This role is open to candidates based within a commutable distance (generally up to 1.5 hours) of our office hub in Kraków. We are unable to offer B2B contracts at this time. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. Within Tripadvisor we have a fun and friendly environment where the key objective is getting things done. Our engineers take part in the full process from design, to code, to test, to deployment and back again for further iteration. Our tech stack includes Kotlin, Coroutines, Jetpack Compose and GraphQL in a modular layout that follows the clean-architecture concept with MVVM. Would you like to build features end to end? Would you enjoy working with a large number of technologies? Do you like moving quickly, releasing features daily, working with other smart and talented engineers? If this sounds like you, we’d love to talk to you. What you will do Code! Our engineers focus on doing what they enjoy most and do best, writing code Touch code at every level – while the focus is app development, you’ll also have opportunities to work on backend microservices Collaborate closely with Product and design teams to define feature specifications and develop high quality deliverables for our customers Take responsibility for all aspects of software engineering, from design to implementation, development experience, QA and maintenance Work alongside other engineering groups located around the world What we’re looking for Experience of developing an Android app and familiarity with mobile web and back-end technologies would be beneficial 2-8 years’ experience of commercial software development, solving different kinds of technical problems Experience with reactive programming in native mobile platforms Willingness and ability to take on new technologies Ability to break down complex problems into simple solutions High quality verbal and written communication skills Sense of ownership and pride in your work What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers!

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing the software and infrastructure that enable Tripadvisor to better understand visitor preferences and drive GenAI, Analytical, and DSML initiatives at petabyte scale. We build the frameworks, infrastructure, tooling, data modeling, and best practices that ensure consistent, well-governed, high-quality data products everywhere; and we directly own a deliberate set of business-critical, cross-cutting data products. Our work spans: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics Self-service and agentic analytics capabilities — governed, natural-language access to trustworthy data The Role Tripadvisor is looking for a Senior Data Engineer to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You'll pair strong software engineering fundamentals with deep data engineering expertise, set technical direction, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. What You'll Do Data Engineering & Data Products & Enablement Own the full lifecycle of business critical data pipelines: define SLAs, implement performance measurement, monitoring, alerting, and anomaly detection, and lead incident response and root-cause analysis. Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms. Design, build and maintain streaming and batch systems that power real-time and analytical workloads, and lead simplification of legacy ingestion paths. Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse. Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. Apply AI to accelerate the team's own work (e.g., building reusable Claude skills for pipeline migrations and upgrades) and share those patterns with individual teams. Set and evolve engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability. Platform & Software Engineering Write and review production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling Architect and scale streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Design, operate, and continuously improve cloud infrastructure on AWS, applying strong judgment on performance, scalability, and cost. Technical Leadership, Collaboration & Ownership Lead large size initiatives end to end: technical specs, design reviews, project planning, and delivery across teams. Set and uphold code and data quality through leadership in design and code review, and act as a technical mentor to engineers on the team and in the domains you enable. Translate ambiguous, cross-organizational data problems into clear, standardized solutions, and communicate effectively with both technical and business stakeholders. Work with independence and a mandate to leave things better than you found them, in a fast-paced, globally distributed environment. Partner with Product, Design, Analytics, and Data Science leaders to shape specifications, challenge requirements constructively, and deliver high-impact solutions. Skills & Experience 8+ years of data engineering or software development experience in a commercial setting, including a track record of technical leadership on medium-to-large projects. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Experience taking significant projects from design through production, with growing ownership of technical direction Deep experience designing and implementing complex ETL/ELT from concept to production, including SLAs, performance measurement, and monitoring. Comprehensive data design and data modeling experience, and advanced SQL across large, complex datasets. Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale. Experience building reusable frameworks, platforms, or tooling that other engineers depend on (not just point solutions). Hands-on proficiency in both Python and Java for production systems. Systems performance and tuning expertise, with a clear understanding of how architectural decisions affect scalability and cost. Familiarity building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Comfortable operating with autonomy in loosely defined problem spaces, breaking down complex problems into simple pragmatic solutions, and prioritizing effectively.. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Self-paced, organized, and detail-oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We’re here for you with resources and programs to help you through life’s challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #Tripadvisor #Remote #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. Our Data Platform team is the engineering backbone of Tripadvisor’s data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing the software and infrastructure that enable Tripadvisor to better understand visitor preferences and drive GenAI, Analytical, and DSML initiatives at petabyte scale. We build the frameworks, infrastructure, tooling, data modeling, and best practices that ensure consistent, well-governed, high-quality data products everywhere; and we directly own a deliberate set of business-critical, cross-cutting data products. Our work spans: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics Self-service and agentic analytics capabilities — governed, natural-language access to trustworthy data The Role Tripadvisor is looking for a Senior Data Engineer to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world’s most trusted travel platform. You'll pair strong software engineering fundamentals with deep data engineering expertise, set technical direction, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we’d love to talk. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor’s global engineering organization. What You'll Do Data Engineering & Data Products & Enablement Own the full lifecycle of business critical data pipelines: define SLAs, implement performance measurement, monitoring, alerting, and anomaly detection, and lead incident response and root-cause analysis. Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms. Design, build and maintain streaming and batch systems that power real-time and analytical workloads, and lead simplification of legacy ingestion paths. Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse. Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. Apply AI to accelerate the team's own work (e.g., building reusable Claude skills for pipeline migrations and upgrades) and share those patterns with individual teams. Set and evolve engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability. Platform & Software Engineering Write and review production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling Architect and scale streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Design, operate, and continuously improve cloud infrastructure on AWS, applying strong judgment on performance, scalability, and cost. Technical Leadership, Collaboration & Ownership Lead large size initiatives end to end: technical specs, design reviews, project planning, and delivery across teams. Set and uphold code and data quality through leadership in design and code review, and act as a technical mentor to engineers on the team and in the domains you enable. Translate ambiguous, cross-organizational data problems into clear, standardized solutions, and communicate effectively with both technical and business stakeholders. Work with independence and a mandate to leave things better than you found them, in a fast-paced, globally distributed environment. Partner with Product, Design, Analytics, and Data Science leaders to shape specifications, challenge requirements constructively, and deliver high-impact solutions. Skills & Experience 8+ years of data engineering or software development experience in a commercial setting, including a track record of technical leadership on medium-to-large projects. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. Experience taking significant projects from design through production, with growing ownership of technical direction Deep experience designing and implementing complex ETL/ELT from concept to production, including SLAs, performance measurement, and monitoring. Comprehensive data design and data modeling experience, and advanced SQL across large, complex datasets. Extensive experience with big data technologies and cloud data warehouses (Snowflake, BigQuery, Hadoop/Hive) at terabyte-and-growing scale. Experience building reusable frameworks, platforms, or tooling that other engineers depend on (not just point solutions). Hands-on proficiency in both Python and Java for production systems. Systems performance and tuning expertise, with a clear understanding of how architectural decisions affect scalability and cost. Familiarity building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Comfortable operating with autonomy in loosely defined problem spaces, breaking down complex problems into simple pragmatic solutions, and prioritizing effectively.. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Self-paced, organized, and detail-oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We’re here for you with resources and programs to help you through life’s challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #Tripadvisor #Remote #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the role The Tripadvisor Group Machine Learning Team is looking for an experienced individual to join a dynamic and fast-paced team to help support our Marketing efforts. As an ML II Scientist, you will apply your modeling skills to a wide variety of problem spaces including, but not limited to bidding for online advertising, customer modeling, experimental design, revenue optimization, attribution, recommendations, life time value. You will have access to the newest development tools and huge data sets. You will deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow. Tripadvisor Group comprises Tripadvisor, the world's leading travel information site, and Viator, the leading marketplace for travel experiences.. The ML Team creates systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas. To ensure continued success, Tripadvisor promotes a culture of personal development, including social activities, journal clubs, memberships in online learning resources, and participation in industry conferences. Have a great time while shaping the future of travel! What You'll do: We are looking for someone who is independent, curious, and motivated, who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of data scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. Use machine learning models to solve a variety of core business problems across marketing. Seek out new opportunities to apply data science and machine learning in the marketing space across all channels (e.g.,paid, organic, search, demand creation, affiliates, CRM…) Automate ETL pipelines Prototype, evaluate, deploy and maintain new ML models in production Design AB tests and analyze their results Discover new ways to analyze and interpret the data Communicate progress and interpretation of experimental results to technical and business stakeholders Skills & Experience: Team player Loves to learn Great communication skills with both technical and non-technical partners Gets things done on time and on specification Genuinely interested in AI — you've played with AI tools yourself, and you're excited to grow your skills in that space rather than waiting for it to be handed to you Qualifications: PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred (or masters with 2+ years of practical experience) Knowledge of AB test design and analysis Strong background in machine learning and statistics Solid foundation on data structures and algorithms Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn) Ability to interpret and write complex SQL queries Experience with big data technologies, such as Hive and Spark Track record of leading the deployment and maintenance of models Hands-on experience with AI-powered tools We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #LI-Hybrid #LI-SM1

About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. We are hiring a Director of Engineering for our fast-growing Tripadvisor Experiences org. Tripadvisor Experiences (Viator) is the world's leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 400,000+ travel experiences to explore—everything from simple tours to extreme adventures (and everything in between) —making memories that will last a lifetime has never been easier. We embrace flexibility in where and how work gets done and also value meaningful in-person moments to connect and collaborate. You can expect a remote-first working model with periodic in-person gatherings at your closest office for team connection, planning, or other key moments. This position is open to candidates based within a commutable distance (generally maximum up to 1.5 hours) from our Krakow office. What You'll Do: Build and lead a high-performing technical team by hiring, training, and mentoring engineers of all levels. Foster a collaborative and innovative team culture and champion effective Agile development processes. Develop project plans, timelines, budgets, and resource allocation strategies, and ensure projects are delivered on time and within scope and budget. Show leadership as a hands-on developer in multiple layers of the software stack and data stack. Perform code and design reviews. Work closely with principal engineers to drive technology strategy and roadmap that aligns to the wider organisation vision. Work closely with your Product Manager counterpart and the business owner to prioritize product features along with the engineering-driven tasks, striving for a good balance between business results and engineering robustness. Communicate effectively with technical and non-technical stakeholders to ensure alignment on project goals, commitments, and timelines. Define and enforce engineering best practices to ensure deliverables are complete, on time, and meeting a high-quality standard. Skills & Experience: 10 years’ experience of commercial software development Proven track record as a second-line leader with experience directly managing, coaching, and developing Engineering Managers Background of working in a product-focused company, collaborating closely with stakeholders to build up a backlog of product and technical initiatives Directly responsible for giving performance feedback and providing formal career planning to their team Strong mentorship skills, helping engineers to grow technically and professionally Solid understanding of the technologies and tools used by their team, with hands-on experience of designing and building scalable, high-performance systems Excellent ability to break down complex problems into simple solutions Proven leadership in driving major projects and actively participating in cross-functional teams in fast-paced, dynamic environments Accountable for high-quality execution, operations and overall team performance Uses strong analytical skills to identify risks early, mitigate issues and provide contingency plans Adept at making high-level decisions about product and technical direction, balancing business objectives with engineering capabilities. Understands modern software delivery methodologies and project management tools and uses them to drive successful outcomes.

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. A core focus of our strategic vision is building mobile apps that empower travelers to plan and book perfect trips. As part of the group building those apps you get to drive our company’s strategic growth and impact many millions of monthly active visitors worldwide. Our Mobile App Product Engineering teams are responsible for the features in our Flagship iOS and Android apps that delight millions of travelers around the world. One of these teams is looking for a software engineer with experience designing, building, and maintaining iOS apps, preferably at scale. The ideal candidate would bring excellent communication skills, technical acumen, and a product-mindset. What you’ll do: Deliver high-quality, scalable features to millions of travelers across many countries and languages. Collaborate with designers, product managers, and other engineers to iterate on new features. Practice, uphold, and promote high quality and reliability standards, respect clean code principles, implement unit and integration tests. Provide feedback on technical designs and code reviews to ensure the scalability, maintainability, and robustness of our iOS apps. Skills & Experience: At least 3 years of iOS development experience. Bachelor's degree in Computer Science, a related technical field or equivalent practical experience. Strong Computer Science fundamentals. Experience with Clean Architecture. Experience with large, multi-module projects. Experience with dependency injection. Solid understanding of MVVM. Good understanding of reactive programming. GraphQL know-how. Previous work in an Agile environment. User-centric mindset. Great creativity. Nice to haves: Experience with TCA. Experience with SwiftUI. Experience with server-driven UIs. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. Flexible schedule . Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We’re here for you with resources and programs to help you through life’s challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com . If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com . We have all the answers! #LI-AMCVAY #Remote #Tripadvisor

AI Quality Assurance Program Manager I Tripadvisor About Tripadvisor The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world’s most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. The AI Quality Assurance Program Manager ensures that all artificial intelligence systems across Tripadvisor’s Travel Experiences execute reliably, accurately, and aligned with business goals. Positioning yourself at the intersection of AI performance, traveler satisfaction, and product development, you will establish testing frameworks, audit AI outputs, and turn quality findings into actionable operational insights. You will drive performance tracking, unblock cross-functional teams, and regularly report AI accuracy, success metrics, and enhancement roadmaps to executive leadership. Job Location: Hybrid This role is a hybrid position that requires 2/3 days per week/month in our London Office. Key Responsibilities Define the AI-Era Quality Strategy: Establish the end-to-end quality framework across human agents and AI agents, evolving QA from traditional sample-based auditing toward continuous, AI-enabled quality management. Establish AI Quality & Testing Frameworks: Design and maintain comprehensive evaluation benchmarks, testing protocols, and human-in-the-loop (HITL) workflows to verify AI agents, support bots, and recommendation engines operate as intended. Audit AI Outputs & Traveler Interactions: Continuously evaluate AI-generated outputs (e.g., automated support chats, tour recommendation accuracy, and booking updates) for intent fulfillment, safety, tone, and hallucination prevention. Drive Business Updates & Insights: Deliver executive-ready reporting that translates complex QA evaluation data, model accuracy rates, and error trends into strategic recommendations for business leaders. Lead Cross-Functional AI Improvements: Partner closely with Data Science, AI Engineering, Product, and CX teams to turn QA findings into prompt refinements, model fine-tuning, and updated knowledge base inputs. Maintain Release Momentum: Track project timelines for new AI deployments, manage QA regression testing schedules, and hold technical teams accountable to quality standards before full traveler rollout. Qualifications Experience: 4–6 years in technical program management, QA management, or AI/ML product operations focused on system reliability and evaluation. AI Evaluation Expertise: Strong operational knowledge of AI/LLM testing methodologies, prompt evaluation, intent recognition accuracy, and AI safety guardrails. Data-Driven Insight Delivery: Proven ability to analyze AI logs, leverage analytics tools, and turn quality metrics into clear, executive-ready presentations and dashboards. Cross-Functional Collaboration: Exceptional track record of bridging technical AI engineering teams with business stakeholders and front-line traveler support operations. Domain Empathy: Deep interest in online travel, traveler behavior, and maintaining high trust across consumer-facing AI interactions. Preferred Qualifications Hands-on experience with modern LLM evaluation tools, annotation platforms, or customer service AI tools (e.g., Zendesk AI, Intercom, Salesforce). Background in travel tech, e-commerce marketplaces, or fast-scaling consumer platforms. What We Offer Competitive compensation packages (routinely benchmarked against the latest industry data), including base salary and annual bonuses “Work your way” with flexibility to suit your lifestyle. Tripadvisor Group takes a remote-friendly approach to collaboration across a worldwide team, with the option to join on-site as often as you’d like or as required by your team. Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars: Traveler first We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at AccessibleRecruiting@tripadvisor.com. If you have any additional questions about careers at Tripadvisor you can email us at recruitment@tripadvisor.com. We have all the answers! #LI-WR1