Tripadvisor

Role Description Tripadvisor is looking for a Data Engineer II 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 bring both strong software engineering fundamentals and hands-on data engineering expertise — writing production-quality Java and Python, 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. What You’ll Do - Data Engineering & Data Products, ETLs: - Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. - Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. - Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. - Ensure enterprise data integrity, validation, documentation, and governance. - Platform & Software Engineering: - Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling. - Build and maintain 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). - Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. - Quality, Collaboration & Ownership: - Take on projects with independence and a mandate to leave things better than you found them. - Be integral to code quality on your team through leadership in design and code review. - Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions. - Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. - Work alongside engineering groups located around the world in a fast-paced, dynamic environment. Qualifications - 4–5+ years of data engineering or general software development experience in a commercial setting. - Strong hands-on proficiency in both Java and Python for production systems. - Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. - Proficiency in SQL and data exploration across large, complex datasets. - Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. - Solid foundation in data structures, algorithms, and object-oriented design. - Professional experience building REST services and working with event queue systems. - Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. - Systems performance and tuning experience, with an understanding of how architecture impacts scalability. - Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. - Strong analytical skills; desire to write clean, correct, and efficient code. - Self-paced, organized, and detail-oriented with a strong sense of ownership, urgency, and pride in your work. - Ability to break down complex problems into simple, pragmatic solutions. - Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. - Willingness and ability to take on new technologies as our stack evolves. Nice to Have - Experience with stream processing frameworks such as Flink or Spark Streaming. - Experience with task orchestration tools such as Apache Airflow or similar systems. - Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. - Experience working with and designing infrastructures for large-scale data processing (Hive, Snowflake, NoSQL databases). - Experience with data governance practices and tooling. - Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. - Experience developing scalable code for high-volume, low-latency systems. Benefits - 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 greenhouse@tripadvisor.com.

Role Description Cruise Critic is looking for a driven, entrepreneurial Manager of Partnerships & Business Development to lead the identification, pursuit, and activation of high-value commercial relationships outside of the core cruise endemic category. - This is a hunter role — built for someone who thrives on opening doors, building pipelines from scratch, and closing partnerships that create real, measurable value. - You will be the primary driver of new revenue from ancillary travel categories and emerging verticals. - You will sit within the Growth Partnerships Pod, working in close collaboration with the Pod's activation, product, and strategy leads. What You'll Do - New Business Development & Pipeline Building: - Proactively identify, target, and pursue partnership opportunities across ancillary travel verticals. - Build and manage a robust, structured pipeline of prospective partners. - Lead all stages of the business development cycle: outreach, qualification, pitching, negotiation, and deal closure. - Develop and own a prospecting framework and prioritization approach. - Represent Cruise Critic at industry events, trade shows, and networking opportunities. - Commercial Strategy & Opportunity Evaluation: - Assess commercial viability and strategic fit of new partnership opportunities. - Develop pricing models, revenue-share structures, and commercial terms. - Work with internal stakeholders to build compelling, data-informed business cases. - Maintain a clear view of the competitive landscape and emerging monetization models. - Provide accurate forecasting and pipeline reporting to senior leadership. - Partner Relationships & Stakeholder Management: - Serve as the senior external face for Cruise Critic in new partner conversations. - Collaborate with the Growth Partnerships Pod to ensure smooth handoff from deal close to partner activation. - Act as a key liaison between new partners and internal teams. - Support expansion opportunities where new partners evolve into deeper relationships. - Cross Functional Collaboration: - Work closely with Product, Editorial, Marketing, CRM, and AdOps. - Partner with the Pod's product and activation leads to define clear launch paths. - Provide commercial intelligence and market insight to inform broader business strategy. - Contribute to the development of scalable processes, pitch materials, and commercial frameworks. Qualifications - 5-10 years of experience in business development, partnerships, or commercial roles. - Demonstrable track record of hunting and closing net-new commercial partnerships. - Proven ability to operate effectively with a global-first mindset. - Experience building partnerships across ancillary travel categories or consumer marketplaces. - Familiarity with digital media commercial models including sponsorship and performance-based structures. - Experience with Salesforce or equivalent CRM for pipeline management and forecasting. Key Skills - Proven hunter mentality — proactive and motivated by opening new doors. - Strong commercial acumen and ability to develop pricing and revenue-share models. - Exceptional ability to build rapport quickly and influence senior decision-makers. - Strategic thinking balanced with a bias for action and execution. - Strong negotiation, presentation, and communication skills. - Analytical mindset with the ability to interpret data and build business cases. - Self-motivated, resilient, and comfortable operating in ambiguous environments. - Highly collaborative — able to work cross-functionally. Performance Indicators - New partner pipeline volume & value. - Number of new deals closed. - Revenue generated from new verticals. - Pipeline-to-close conversion rate. - Time from deal close to partner activation. - Market coverage. Benefits - Competitive compensation packages, including base salary and annual bonuses. - Flexibility to suit your lifestyle with a remote-friendly approach. - Flexible schedule promoting work-life balance. - Donation matching for qualifying charitable donations. - Tuition assistance for qualified programs. - Lifestyle benefit for personal spending. - Travel perks including discounts. - Employee assistance program for life challenges. - Health benefits with great coverage and competitive premiums. - Generous referral scheme for successful candidate referrals. Salary Range The salary range for this role is $130,000-140,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.

Role Description As a Senior Manager, Product Data Science & Experimentation you will own the health, velocity, quality, governance, and organisational maturity of experimentation across Viator and Tripadvisor, while providing strong technical leadership from within the Product Data Science function. - Ensure experimentation is designed, executed, and interpreted in a consistent, high-quality way across the organisation. - Drive continuous improvement in velocity, adoption, and organisational capability. - Own the end-to-end experimentation operating system, including governance, standards, lifecycle, and quality controls across all experiments. - Define and enforce experimentation standards, ensuring consistent rules for experiment design, metric selection, statistical validity, and metadata completeness. - Drive experimentation velocity and coverage, ensuring balanced testing across product surfaces and eliminating under-tested or untested areas. - Establish a single source of truth for experimentation health, ensuring leadership can reliably understand what is being tested, where, and with what outcomes. - Partner with Product, Engineering, Data Engineering, and Product Data Science leadership to align on priorities, resolve system-level issues, and improve experimentation execution. - Identify and eliminate systemic failure modes in experimentation design and execution, preventing recurring issues rather than repeatedly fixing them downstream. - Reduce reliance on central experimentation support by improving upstream experiment design quality and embedding correct behaviours into product teams. - Own experimentation literacy across the organisation, ensuring teams understand how to design, run, and interpret experiments correctly as part of normal product development. - Design and scale frameworks, documentation, and tooling that make correct experimentation the default and reduce dependency on reactive support or ad hoc guidance. - Ensure experiment metadata integrity and completeness so that results are comparable, auditable, and usable for decision-making and organisational learning. - Act as an escalation point for experimentation system health, ensuring issues are resolved quickly and do not persist across cycles. Qualifications - Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline. - Proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation. - Strong proficiency in SQL and Python. - Deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks. - Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems. - Strong understanding of product development and decision-making. - Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations without direct authority. - Experience improving experimentation velocity, quality, and adoption through structural interventions. - Strong ability to evaluate experiment design, statistical validity, and interpretation of results. - Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple teams. - Exceptional ability to communicate experimentation concepts clearly and confidently to technical and non-technical audiences. Requirements - Experience improving experimentation systems, governance, or operating models at scale. - Experience driving experimentation adoption across multiple product teams, domains, or brands. - Experience building experimentation frameworks, standards, or guardrails that improve quality and consistency. - Experience reducing organisational dependency on central experimentation or data science teams through better system design and self-service enablement. - Experience working in high-scale product environments such as marketplaces, e-commerce, or travel platforms. - Experience working in SaaS experimentation tools such as Statsig, Eppo, Growthbook, and others. - A reputation for improving how organisations make decisions, not just the quality of individual analyses or experiments. Company Description Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.

Role Description As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do - Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. - Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives. - Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. - Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. - Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. - Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. - Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. - Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. - Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem. - Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. - Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale. - Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline. Qualifications - Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. - Expert Level proficiency in Python and SQL. - Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). - Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch. - A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). - Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products. - Leader in critical thinking, with previous experience demonstrating the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. - Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. - Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. - Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority. - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Requirements - Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. - A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. - Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. - Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. - Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. - A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join. Benefits

Title: Customer Care Specialist (Portuguese Market) Location: Barcelona Job Description: Join our Movement and Champion Restaurant Culture! At TheFork we believe that the best things in life happen around the table. As the leading restaurant booking platform in Europe, we connect the broadest community of loyal diners with the world’s favorite restaurants. Powered by innovation and a deep passion for the restaurant industry, we create unique dining experiences across 11 countries. We’re part of the Tripadvisor Group and proud to be building a diverse, people-first culture where “respect”, “ownership”, “growth” and “better together” values thrive. If you’re passionate about food, technology, and making a real impact, your seat at the table is ready. What you will do: - Answer incoming requests via phone, email and chat. - Assist our customers on questions about our electronic reservation book, our website or app. - Put yourself in the customer’s shoes and provide the most suitable answer or solution according to their specific needs. Who you are: - Based in Barcelona. - Native level of Portuguese and fluent in English. Speaking more languages are always welcome! - An open minded person with a high level of communication skills. - Care about customer needs and always try to make their experience unique and satisfactory. - Knowledge in CRM tools. - Experienced in a customer support environment. What we offer: An awesome team A permanent contract (that can be useful in life) Flexible working environment (2 days home office per week + up to 4 total weeks additional flexibility during the summer period and in December to work fully remotely) Competitive fixed salary and bonus Lunch vouchers available for each working day (because yes, we like to try our best restaurants) International teams and a multicultural environment spanning 10 offices across Europe Highly inclusive working environment Lifestyle benefits that can be used to reimburse expenses related to physical and leisure activities, family support, travel etc Continuous learning and development programs Free access to the Calm app to help you build resilience wherever you are in your mental health journey Dedicated parental leave and caregiver leave policies (12 weeks fully paid) A program dedicated to helping you have the best work/life balance Health insurance fully covered by the company Life & Disability Insurance at no cost to the employee Amazing offices with dining, a coffee point on each floor, and leisure area Team building events All hiring happens through our careers site and official email. We do not text or ask for payment during the hiring process. Please report any suspicious messages immediately. We believe that we are better together, and we welcome you for who you are. We endeavor to ensure that everyone - regardless of ability, age, socio-economic & cultural background, ethnicity, faith, gender, gender expression, gender identity, ideology, national origin, race, sexual orientation, marital status, or any characteristic protected under applicable law -has the opportunity to reach their full potential. At TheFork, we want you to bring us your unique perspectives and experiences, so we can collectively continue disrupting the restaurant industry and go from good to great. TheFork is committed to a fair recruitment process. If you have special needs and require reasonable support during your application, interview, or participation in the selection process due to health conditions or disability, please direct your inquiries t. Our HR team will review the request and respond accordingly.

Role Description As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction, and drive strategic impact through innovative analytical solutions. This role is both highly technical and deeply collaborative, requiring excellence in leadership, communication, and cross-functional influence. - Lead and define the Data Science strategy for Product, ensuring that advanced analytics, data science, and AI methodologies are central to how we build great products and improve customer experiences. - Serve as a trusted strategic advisor to senior Product and Engineering leadership, ensuring that data-driven decision making is embedded at the highest levels of the organization. - Drive the development and adoption of next-generation data science tooling, platforms, and frameworks, with a focus on automation, scalability, and reproducibility. - Spearhead the exploration and integration of emerging AI technologies, such as Agentic AI and AI Agents, identifying and developing high-impact use cases from POC to production. - Champion best practices in experimentation, causal inference, and uplift modeling, ensuring statistical rigor in decision-making processes. - Take ownership of the most complex, high-profile analytical projects, translating ambiguous questions into clear, actionable recommendations that deliver commercial and customer value. - Mentor, coach, and develop other Data Scientists and Analysts, fostering a culture of critical thinking, continuous learning, and technical excellence. - Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities. - Develop sophisticated customer segmentation, and predictive models that directly inform and optimize the product roadmap. - Communicate complex analytical and technical concepts to diverse audiences, influencing stakeholders across Product, Engineering, Design, and Commercial teams. Qualifications - Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. - Expert Level proficiency in Python and SQL. - Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering). - Demonstrated ability to define, implement, and operationalize crucial product and feature-level metrics from scratch. - A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design). - Experience scaling analytics capabilities, driving impact through the creation of automated processes, self-service tools, or data products. - Leader in critical thinking, demonstrating the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. - Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists. - Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels. - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Requirements - Advanced programming background with the ability to build simulations and prototype data products. - Experience validating quantitative findings with qualitative methods (e.g., surveys, user research). - Demonstrated experience with applied AI, such as NLP, Large Language Models (LLMs), or Agentic AI for analytics. - Experience working within a two-sided marketplace, e-commerce, or the travel technology industry. - Mastser's degree or equivalent relevant programs. Benefits - 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!

Senior Video Editor, Wanderlab United Kingdom 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. Senior Video Editor for Wanderlab at Tripadvisor creates high-impact, brand-consistent video content, driving performance across external marketing, branded content, social media, YouTube. They lead post-production workflows and blend creative storytelling with analytics to optimize engagement. Key requirements include 5+ years of experience, expert Adobe Premiere/After Effects skills, and fast-turnaround capabilities. Please add a reel or your portfolio to your application Location: UK Remote or Hybrid (London/Oxford) What You’ll Do: - Content Creation: Create and edit high-quality, engaging videos that adhere to Tripadvisor and client brand guidelines. - Handle color correction, sound design, and advanced motion graphics while leading the editing process. - Platform Optimization: Adapt content for various platforms (16:9, 1:1, 9:16) with best practices for YouTube, Instagram, and TikTok etc. - Handle color correction, sound design, and advanced motion graphics while leading the editing process. - Strategic Collaboration: Work with design, writers, producers, and marketers to Qualifications - Demonstrated ability to use AI tools to improve efficiency, quality, and decision-making in day-to-day work. - Proven ability to operate effectively with a global-first mindset Skills & Experiences: - Experience: 5+ years in professional video editing, preferably in an agency environment. - Technical Skills: Advanced proficiency in Adobe Premiere Pro, After Effects, and Photoshop. Eagerness and ability to utilize AI-assisted editing tools for efficiency and manage media assets and archives. Deep understanding of media & social best practices ie: formats, storytelling techniques, pacing. - Project Management: Proven ability to manage multiple projects simultaneously under tight deadlines. - Portfolio: A strong reel showcasing diverse, high-end editing and motion graphic 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! #LI-CH01 #TRIPADVISOR

Role Description - Manage large multinational marketing campaigns. - Identify SEM growth opportunities. - Analyze marketing data to identify actionable insights. - Work collaboratively with data scientists and engineers to improve tools and processes. - Improve and optimize our landing pages to maximize conversion. - Stay abreast of the latest developments in SEM. - Design and analyze tests. - Write compelling adverts. Telecommuting permitted up to 100%. Qualifications - Master’s degree (or foreign equivalent) in Business Analytics, Economics or related field. - Two years of experience in the job offered or in a Search Engine Marketing Analyst-related occupation. Requirements - Two years of experience with the following: - Managing large multinational marketing campaigns. - Analyzing marketing data to identify actionable insights using advanced SQL and Python. - Identifying SEM growth opportunities. - Designing, running, and analyzing A/B tests. - Writing and executing successful advertising campaigns. - Developing and optimizing campaign diagnostics and pacing dashboards using Tableau. - Translating marketing hypotheses into testable experiments, measuring outcomes, and communicating results cross functionally. Contact Instructions To apply, please email resume to greenhouse@tripadvisor.com referencing job code 10173.967.13. EOE. 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 greenhouse@tripadvisor.com .

Role Description Be an active member of an industry leading cross-disciplinary team of engineers, data scientists and analysts operating one of the world’s largest paid search programs. - Participate in large multinational marketing campaigns. - Identify scalable SEM growth opportunities. - Analyze marketing data to identify actionable insights. - Work collaboratively with data scientists and engineers to improve tools and processes. - Improve and optimize landing pages to optimize performance. - Stay abreast of the latest developments in SEM. - Design, execute, analyze, and scale testing outcomes. - Telecommuting permitted 100%. Qualifications - Master's degree in Marketing, Business, Computer Science, Information Technology, Economics, or related field (or foreign equivalent). - Two (2) years of experience in the job offered or in a SEM Analyst-related occupation. Requirements - Working as an SEM Analyst for large, complex e-commerce data driven sites. - Utilizing Search Engine Marketing platforms, including Google AdWords and Bing Ads. - Analyzing large amounts of data and producing actionable insight. - Working on SEM across multiple international markets and running and interpreting creative and bidding tests, including A/B tests. - Demonstrated expertise with Excel or Google sheets including utilizing pivot tables to conduct data analysis and dashboard platforms for performance reporting. Contact Instructions To apply, please email resume to greenhouse@tripadvisor.com referencing job code 10173.1023.5. EOE. 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 greenhouse@tripadvisor.com .

Role Description The Product Marketing Manager (PMM) will be responsible for expanding our Total Addressable Market (TAM) by directing marketing resources, aligning sales efforts, and providing the R&D roadmap with the market intelligence necessary to win against entrenched local competitors. This role is a remote position in London, UK. Occasional travel to company offices as necessary. Key Responsibilities - Strategic Market Intelligence & Prioritization - Define the "Win" Strategy: Analyze why competitors like GetYourGuide are gaining share and direct resources to close those gaps. - Prioritize R&D Efforts: Translate market-specific friction—such as the 15-25% lower conversion on multi-lingual sites—into prioritized requirements for localized features like native language filters and regional payment methods. - Data-Driven Roadmap: Use data to rank problems and opportunities by impacted audience size and confidence, ensuring engineering pods work on high-leverage international features. - Go-to-Market (GTM) & Marketing Orchestration - Resource Direction: Organize the efforts of SEM, SEO, and Content teams to move from coarse non-English accounts toward granular, country-specific structures that increase clickshare. - Localized Content: Direct the creation of stand-alone SEM landers and content incorporating regional idioms and cultural references to improve SEO and trust. - Funnel Optimization: Oversee all funnel metrics—from increased traffic to supplier signup pages to getting more products live—ensuring teams prioritize the most effective opportunities. - Sales Enablement & Supply Growth - Supply Gap Identification: Assist Sales and Destination Management teams in identifying high-demand supply gaps, such as FIGS-language tours in Rome. - Asset Development: Develop geo-specific landing pages and assets for the Sales engine to address local supplier objections and highlight growth opportunities. - Cross-Functional Orchestration - Operational Leadership: Serve as the "glue" between R&D, Marketing, and the Supply Org to ensure international initiatives are built into quarterly roadmaps. - Integrated Strategy: Ensure all channels work together to amplify adoption and support critical international supply priorities. Success Metrics (KPIs) - Top-of-Funnel Conversion: Measurable increase in international site traffic and account creation. - Bottom-of-Funnel Conversion: Increase in product creation initiation and the number of products that go live. - Market Share: Progress toward the 10% global TAM share target. Qualifications - 10+ years in marketing (per AD standards) with a focus on product marketing and international GTM strategy. - Proven ability to translate business objectives into effective multi-channel campaign strategies. - Demonstrated ability to lead through influence and collaborate with Product, Sales, Data, and Engineering teams. - Deep experience using data to prioritize opportunities and manage performance dashboards. - Excellent stakeholder management and communication skills to drive alignment across a global organization. Benefits - 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. - Flexible schedule. Work-life balance is ingrained in our culture by design. - Donation matching. We match qualifying charitable donations annually. - Tuition assistance. Receive annual support for qualified programs. - Lifestyle benefit. An annual benefit to spend on yourself. - Travel perks. Discounts and more for employee development. - Employee assistance program. Resources and programs to help you through life’s challenges. - Health benefits. Great coverage and competitive premiums. - Generous referral scheme. Rewards for referring successful candidates.