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 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

Wireless Logic

WHAT WE’RE ALL ABOUT: Any company can tell you about how they are a multi award winning, market leading business and yes, we are both of those things in the world of IoT connectivity!  But we’re more than that. 🌍✨ Our mission? To make IoT management a breeze for any device, anywhere. With over 10 million IoT subscriptions active in 165 countries and direct partnerships with 50 mobile networks, we connect you to more than 750 networks worldwide, delivering unmatched value across the IoT connectivity chain. Innovation is in our DNA, and we have an insatiable hunger to ‘wow’! 🚀 While we may not always get it right, our drive to collaborate, innovate, and achieve top-notch customer satisfaction never wavers. We offer industry expertise, stellar service support, and the most flexible, resilient, and secure connectivity solutions on the market. Our expertise spans across various sectors, including industry, agriculture, healthcare, security, transport, utilities, and smart cities. IOT… A FANCY ACRONYM OR A SECRET CODE? The Internet of Things (IoT) is like the magical glue that keeps the world connected! 🌐✨ From ordering your favourite takeaway to the ANPR technology that helps you find a parking spot, IoT is everywhere—even if you don’t realize it. At Wireless Logic, we provide cutting-edge connectivity solutions and technologies to ensure a vast array of devices stay seamlessly connected. The Role — Interstellar Squad The Interstellar Squad owns a core part of our commercial platform: the billing run — a mission-critical, high-volume pipeline that turns large-scale usage data into timely, accurate invoices for customers worldwide. It's a technically rich domain: distributed data processing, event-driven workflows, financial correctness, and operational reliability at scale. We're looking for a Staff Software Engineer to set the technical direction for Interstellar, raise the engineering bar across the squad, and guide delivery of a platform that has to stay correct, predictable and scalable as the business grows. A central part of this role is leading the gradual modernisation of a mature platform into a set of focused, TypeScript-based domain services — using a strangler-fig approach to extract capabilities incrementally, keeping the existing system safe and our customers unaffected while we evolve the architecture. You'll report to an Engineering Manager and partner closely with the Product Manager, Delivery Manager and engineers in the squad, as well as peer Leads across the domain. You'll have the mandate to shape how we design, build and run our systems — and the responsibility to keep the team aligned behind that direction. This role is based in Poland to work alongside the rest of the squad. Key Responsibilities * Set and communicate a clear technical vision for the squad's services, aligned with product and business objectives, and translate it into concrete near-term work * Lead the incremental decomposition of a mature platform into well-bounded, TypeScript / Node domain services using a strangler-fig pattern — defining seams, sequencing extractions, and protecting delivery and correctness throughout * Define and uphold engineering standards for code quality, testing, observability, and operational readiness across the squad — applied consistently to both legacy and new services * Own complex technical decisions end-to-end: articulate trade-offs, choose an approach, document it, and bring the team along * Drive architecture and system design for distributed, data-intensive billing workflows — simplifying where we can, investing where it pays off * Lead the design and implementation of SLIs and SLOs for squad-owned services (Grafana), and take ownership of their health and reliability in production * Guide CI/CD and delivery practices in collaboration with the squad (GitLab), keeping cycle time short and releases safe across both old and new components * Raise the bar on code review — provide thorough, growth-focused feedback and coach engineers to do the same * Mentor engineers at all levels, create clear growth paths and unblock them day to day; help the team build confidence in modern TypeScript/Node practices * Champion AI-assisted/agentic engineering (IDE agents, CLI tooling, reviews) — set norms for when and how to use it, keep humans accountable for correctness, and share practices with peer squads * Partner with Product and Delivery to shape roadmaps, size work honestly and manage technical debt with intent * Represent the squad in cross-domain technical forums and contribute to the wider engineering direction Key Experience & Skills Required * Proven experience leading the technical direction of a squad or product area, not only as an individual contributor * Deep, production-proven backend expertise in a modern, strongly-typed stack — ideally Node.js / NestJS / TypeScript and/or PHP 8.x / Symfony * Demonstrable experience modernising or decomposing a mature monolithic / legacy system into smaller services — comfortable with strangler-fig, anti-corruption layers, contract design, dual-write / shadow strategies, and incremental cut-overs * Strong background in distributed systems and event-driven / asynchronous processing (e.g. RabbitMQ, Kafka, SQS) * Experience designing and operating data-intensive, business-critical services where correctness, idempotency and recoverability matter * Strong command of PostgreSQL (query design, indexing, performance tuning); bonus for distributed/sharded setups (e.g. Citus) * Experience owning CI/CD pipelines and release strategy in a team setting (GitLab or equivalent) * Track record of defining and enforcing engineering standards — type safety, clean architecture, testing, observability * Practical experience with observability and SLO-driven operation of production services (metrics, tracing, logs; Grafana or similar) * Strong communication and stakeholder skills: can explain trade-offs to engineers, PMs and senior leadership clearly and honestly * Experience mentoring engineers and developing them over time * Sensible, hands-on exposure to AI-assisted development (e.g. Cursor, Claude Code, GitHub Copilot or similar) with a thoughtful view on where it helps, where it doesn't, and how to use it safely in a team context Preferred * Experience leading a PHP → TypeScript / Node transition (or equivalent cross-language modernisation) * Strong understanding of TypeScript at an architectural level: generics, decorators, dependency injection patterns and type system design * Experience with PHP / Symfony monorepos and shared library patterns * Background in billing, financial or metering/rating domains * Familiarity with AWS-based platforms (ECS, S3, Parameter Store, SES) * Experience evolving a team from an IT-delivery mindset toward a Product Operating Model * Exposure to projects involving LLMs or Machine Learning in a production context What Will Make You Shine at Wireless Logic * Leads with technical credibility — brings architectural confidence without becoming a bottleneck * Creates clarity — turns ambiguous domain problems into simple, well-structured decisions * Modernises pragmatically — knows when to extract a service, when to leave it, and how to keep the lights on while the architecture evolves * Executes through the team — balances writing code with enabling engineers to do their best work * Manages delivery pragmatically — breaks down problems, sequences work, communicates progress and risk early * Manages technical debt with intent — makes informed, defensible calls about when to refactor * Partners with Product — translates business outcomes into technical plans and back again * Coaches and grows people — gives direct, kind feedback and invests in the team's development * Models continuous learning — including thoughtful adoption of new tooling and AI-assisted workflows Why Come Work with Us? * The chance to join a creative, entrepreneurial company where bold ideas are celebrated * Full training, ongoing support, and the tools to help you thrive and grow in your role * A company with heart — we genuinely care about our people and make sure everyone feels valued, respected, and part of the team Overview of Interview Process * Tele Interview — Meet the people team * Online Technical Task * Behavioural Interview — Meet your hiring manager & Delivery Manager * Technical Interview - Meet Engineering Manager and a peer Tech Lead * Leadership Interview - Meet your leadership How We Work We've adopted a hybrid working approach to give flexibility on where and how we work. This role is based in Poland to support squad collocation; you'll find out more about what this means for the role during the recruitment process. #LI-Hybrid #LI-CC1 We know the world has changed, and we want to offer our employees the chance to collaborate at our unique office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process, but we are currently excited to have our employees experience our office culture as much as possible.   Wireless Logic Group unites and brings people together. We accomplish this when we lead with a lens of diversity, equity, and inclusion in everything we do. As a global company that drives culture we aim to reflect the world’s diverse voices both internally and externally to ensure success in our mission.   By applying for this role, you are consenting for us to hold and process your data in compliance with the General Data Protection Regulations. If you have any questions or wish to exercise your right to access, erase or restrict the holding or processing of your data please contact us (recruitment@wirelesslogic.com) and we will respond to your query as soon as possible.