Senior Product Manager (EdTech & AI)

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. 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.   About the role: 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.   Skills & Experience  * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: 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).  * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.  * Strategic Influence: 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).  * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.  * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate 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.  * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.  * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.  * 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.  * 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 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.       #LI-Remote #LI-SM1         #LI-Hybrid #LI-SM1

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 Tripadvisor Experiences Engineering team is distributed across Europe and is responsible for Tripadvisor.com, the Tripadvisor 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. We’re looking for a Principal Software Engineer 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 Cracow office. 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 is a permanent contract of employment/Umowa o pracę.    What you'll do: * Drive the design and architecture of complex, scalable systems that underpin our technology solutions. Capable of designing long-lasting systems to solve complex problems (including scalability, reliability, consistency and quality) often across an engineering pillar. * Conduct design reviews at both the engineering pillar level and across the broader engineering organization. * Leads generalisable improvements in operational maturity for his platform and promotes best practices with other engineers when it comes to operations. * Work closely with engineering managers, other principal and senior principal engineers to drive technology strategy and roadmap that aligns to the wider organisation vision. * Partners with Product Manager(s) and  Engineering Manager(s) to establish clear technical delivery milestones for key initiatives and then helps to drive delivery within the agreed scope, quality and on time. * Build trusted leadership by being regarded as a go-to person across a wide number of technologies, practices, and tools used in an engineering pillar. * Communicate effectively with technical and non-technical stakeholders to ensure alignment on project goals, commitments, and timelines.   Skills & Experience: * 10+ years of experience in commercial software development. * Demonstrated excellence in working with cross functional teams in fast-paced environments, both in terms of technical leadership and cross team collaboration. * Excellent command of tools and expertise for troubleshooting production issues. * Experience around building scalable and distributed software systems, from conception to production. * Experience of software architecture, design principles and engineering best practices.  * Experience with AWS or Azure cloud platforms, object-oriented programming languages such as Java, Python, or Scala, and working with both SQL and NoSQL databases. * Exposure to the data engineering ecosystem will be a huge plus.   Why Join Us? * Competitive compensation packages, including base salary and annual bonus. * “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. Perks of Working at Tripadvisor * 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.   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.   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

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. 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.   About the role: 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.   What You’ll Do  You will be responsible for ensuring experimentation is designed, executed, and interpreted in a consistent, high-quality way across the organisation, while driving 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.   Skills & Experience  * Experience: Extensive experience in data science, experimentation, product analytics, or a similar quantitative discipline, with a proven track record of improving experimentation systems, governance, or decision-making quality in a product-led organisation. * Technical Expertise: Strong proficiency in SQL and Python, with deep understanding of A/B testing, statistical experimentation, causal inference, and applied experimentation frameworks. * Systems Thinking: Demonstrated ability to design, diagnose, and improve end-to-end experimentation systems, including governance, tooling, processes, and organisational behaviour. * Product Acumen: Strong understanding of product development and decision-making, with ability to influence prioritisation and roadmap decisions through experimentation insight. * Strategic Influence: Proven ability to influence senior stakeholders across Product, Engineering, and Data organisations without direct authority. * Scaling Impact: Experience improving experimentation velocity, quality, and adoption through structural interventions such as frameworks, automation, or system redesign. * Critical Thinking: Strong ability to evaluate experiment design, statistical validity, and interpretation of results, and to improve the thinking of others. * Leadership: Demonstrated ability to lead through influence, driving behavioural and organisational change across multiple teams. * Communication: Exceptional ability to communicate experimentation concepts clearly and confidently to technical and non-technical audiences.   You could be an especially great fit if you have: * Experience improving experimentation systems, governance, or operating models at scale rather than only running or analysing experiments. * 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.     #LI-Remote #LI-SM1