Principal Product Analyst

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. About the Role 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.   What You will do: * 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.   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 operationalize 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 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. * 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: * 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. * Masters degree or equivalent relevant programs     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-Remote #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

Peloton

SENIOR SOFTWARE ENGINEER, DATA FOUNDATIONS ABOUT THE ROLE At Peloton, we treat Data as a Product - a critical asset that powers every member interaction and business decision. The Datastores team’s mission is to provide a reliable, secure, highly available, and highly performant data persistence layer for application services across the company. Our guiding principles: 1. Protect the data, 2. Optimize for scale, speed, and reliability, 3. Eliminate toil. We are looking for a Senior Software Engineer with deep experience building and operating data-intensive systems to join our Datastores team. This role is ideal for a backend engineer who has built and operated production systems that rely heavily on databases, caching layers, and data pipelines, and who is excited to deepen their expertise in scalable, cloud-native data infrastructure. You will work at the intersection of application engineering and data platform reliability - partnering with service teams to improve how data is stored, accessed, scaled, and observed across Peloton’s ecosystem. YOUR DAILY IMPACT AT PELOTON You will: * Design, build, and operate backend systems that rely on scalable and highly available data persistence layers. * Partner with service teams to improve database design, query performance, and data modeling. * Contribute to automation around infrastructure provisioning using tools like Terraform and Backstage. Improve developer experience by building self-service tooling for databases and caching systems. * Work on observability, performance insights, and autoscaling strategies for production datastores. * Contribute to architectural decisions around multi-regional data persistence and global scalability. This role combines hands-on backend engineering with deep exposure to cloud data systems and platform reliability challenges. WHAT YOU BRING We’re looking for strong backend engineers who are “data-aligned” — meaning you’ve built systems where data performance, reliability, and modeling mattered. * 5+ years of software engineering experience building production backend systems. * Strong experience with relational databases such as PostgreSQL or MySQL, including schema design, indexing, and query optimization. * Experience working with NoSQL datastores such as DynamoDB, Redis, Elasticsearch, or Memcache. * Exposure to data pipelines, event-driven architectures, or systems that interface with streaming or batch processing frameworks. * Experience operating services in cloud environments (preferably AWS). * A strong understanding of distributed systems fundamentals: latency, consistency models, replication, and scaling strategies. * Experience running or tuning PostgreSQL or Aurora in production. * Experience with multi-region architectures. * Exposure to observability tooling (metrics, tracing, query insights). WHO YOU ARE * You think about data integrity first. * You care about performance and understand that small database decisions can have large system-wide impact. * You enjoy reducing manual toil through automation. * You collaborate well with application engineers and platform teams. * You want to grow deeper into database reliability, scalability, and cloud-native data systems.     ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.