Senior Manager, Product Data Science & Analytics

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

Butternut Box

FRESH FOOD, HAPPY DOGS. We believe dogs deserve the healthiest, most natural and tastiest meals - with none of the nasties. That’s why we make FRESHly prepared food, cooked just like you would at home and delivered direct to our customers in perfect portions. As a B-Corp certified company, you’re joining a sustainable business that genuinely cares about our people, our products and our impact on the planet. Our goal is simple: to help dogs live healthier, happier, and longer lives, while leaving humans smiling after every interaction. We’ve come a long way since our co-founders (Kev & Dave), hand delivered the very first Butternut Box. Today, we feed hundreds of thousands of hungry dogs across the UK and Europe - but we won’t stop until we’re feeding dogs everywhere. To get there, we need a team of brilliant people who share that ambition to come and work for us.  🐾 THE JOB We're looking for a Senior Product Manager to lead the Acquisition Product Team at Butternut Box, the group responsible for bringing new customers into our world and setting them up for a long, happy relationship with us. You'll own the top of the funnel experience, from content and marketing channel integrations through to the sign-up wizard and checkout, driving measurable impact on conversion rate, acquisition quality, and lifetime value (LTV). This is a high-impact, cross-functional role within our Growth Product group, reporting to the Head of Product. You'll shape strategy, prioritise initiatives, and work hands-on with design and engineering to ship meaningful work quickly. Key Responsibilities * Own all digital product work focused on acquisition, including: * Top of funnel content and CMS (Storyblok) experiences * Integrations with marketing channels * The sign-up wizard through to checkout * Plan offering on the way in to maximise LTV * Localisation of the acquisition flow * SEO and GEO * Lead a cross-functional squad (1 designer, 5 engineers) through the full product lifecycle, from discovery to sprint delivery, QA and release, with potential to expand remit over time. * Partner closely with Marketing, Data Science, and other Growth functions to create a cohesive acquisition strategy. * Own outcomes, not just output. Treat every release as a hypothesis to validate, measure post-launch impact, and feed learnings into the next iteration. * Develop and maintain a clear 6 to 12 month roadmap that connects customer needs to business outcomes. * Use data and experimentation (A/B tests, analytics, insight) to identify opportunities and drive improvement in conversion rate and acquisition quality. * Balance short-term experiments with long-term strategic thinking, sequencing work for maximum impact. * Champion a culture of learning, iteration, and accountability within the team. Required Skills & Experience * Proven experience owning acquisition, growth, or top of funnel product areas within a subscription or growth-driven B2C/D2C product. * Strong understanding of funnels, on-site conversion, and marketing. * Strong analytical and commercial acumen, understands CAC, LTV, conversion rate, and how product performance ladders up to P&L impact. * Highly experienced in A/B testing and structured experimentation; this is a core requirement of the role. * Comfortable working directly with design and engineering, writing tickets, and managing delivery. * Confident using (or learning) tools like Statsig, Looker, or equivalent experimentation and analytics platforms. * Exceptional communicator who builds clear, compelling narratives around their product area. Able to communicate complex decisions simply to senior stakeholders, and to create genuine energy and direction within the squad. Communicates with conviction, not just clarity. * Evidence of working effectively in fast-paced, high-ownership environments (scale-ups or entrepreneurial teams). * Evidence of making sharp prioritisation calls, including the harder ones about what not to do, and defending those choices to stakeholders. * Evidence of mentoring or informally leading other PMs and is actively developing that capability. 👀 WHAT WE'RE LOOKING FOR:  * Are customer-obsessed, you instinctively dig into why customers sign up, drop off, or hesitate. * Bring strategic clarity, can connect vision to actionable roadmaps. * Are commercially sharp and data-driven, comfortable making trade-offs between pace and impact. * Thrive in ambiguous, fast-moving environments, unblocking yourself and others quickly. * Have high EQ, communicate with empathy, influence effectively, and build trust across teams. * Are able to challenge stakeholders and push back on priorities you disagree with, as well as knowing how to disagree and commit when the decision is made. * Have a natural bias for action and a desire to make tangible impact. ⏳ THE INTERVIEW PROCESS: 1. Initial call with your dedicated Talent Acquisition Partner, carried out remotely.  2. Introduction call with Line Manager, carried out remotely. (30mins) 3. Live task with two team members, carried out remotely. (60 mins) 4. Behaviours, Leadership and Stakeholder interview, usually carried out in person. (75 mins) We usually expect our interview process to take 3-5 weeks, end to end.  🙌 OUR BENEFITS: * 25 days holiday (plus 8 bank holidays) and an additional day for every year of service up to 5 years * 5 additional, paid 'paws' days off per year dedicated to your learning, development or personal wellbeing. Hit pause when you need it most * £500 personal learning & development budget to sharpen your skills * Share options grant - everyone owns a piece of Butternut's success. * A significant discount on our Fresh food, to keep your own dogs as healthy as our customers * Enhanced parental leave * Flexible core working hours * Cycle to work scheme * Pension with NEST * Private Medical Insurance with Vitality * Private Dental Insurance with Bupa * Paid time off for fertility treatments and pregnancy loss * Paid sabbaticals for squad members with 5 or more years service at Butternut * Discounted gym access through MyGymDiscounts * Lots of office dogs (Ajax, Peggy, Chief, Louis, Hansen, Winnie and many more….) 💡 IMPORTANT THINGS TO NOTE: * We recommend getting your application in as soon as possible. We reserve the right to close the role early.  * Our team thrives on collaboration. We spend 3 days a week in our West London office (Monday, Wednesday, and Thursday) and 2 days working from wherever you’re most productive. Because being together is a big part of our culture, we’re looking for someone within a comfortable commutable distance to London. * We’re a small (but mighty!) recruitment team. We aim to respond to everyone personally, but if we’re flooded with brilliant applications, we may need to close the role early. We appreciate your patience while we review applications.  * For this specific role, we’re unable to offer visa sponsorship, so you’ll need the right to work in the UK. ❗️WE BELIEVE IN A SEAT AT THE TABLE FOR EVERYONE.  Butternut Box is an equal opportunity employer. We believe that to make the best food for all dogs, we need a team that represents all humans. We celebrate different nationalities, backgrounds, experiences and perspectives. We are specifically committed to increasing representation from underrepresented groups. We want a strong, diverse team built from different identities and lived experiences. We’re not perfect, but we are dedicated to the ongoing work of building an inclusive, supportive place where you can do the best work of your career.

Flo Health

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job As Senior Product Manager for Predictive Growth at Flo, you'll own Flo's predicted Lifetime Value (pLTV) platform across iOS, Android, and Web. pLTV is the shared signal behind UA bidding, budget allocation, creative-testing prioritisation, finance forecasting, and roadmap decisions across the organisation — making it one of the highest-leverage PM roles in growth. You'll work with a team of data scientists, machine learning engineers, and data engineers running Flo's production pLTV models across short-horizon (intra-day) and long-horizon (M15+) predictions. You'll drive accuracy improvements, expand signal coverage across platforms, and extend pLTV's reach into new decision domains. You'll also help scale Flo's in-house agentic experimentation system — already delivering 30%+ quality gains — and contribute to the next generation of Flo's marketing measurement stack, including Marketing Mix Modeling and incrementality testing. This is a senior IC role with company-wide visibility, partnering with leadership across User Acquisition, Finance, Analytics, and Engineering. It's equally hands-on in delivery: co-leading the team day-to-day with your engineering manager pair, writing the specs, defining the epics, staying close to the work. Your Experience Must have: * Proven experience owning machine-learning or data-driven products in production — predictive scoring, propensity, ranking, forecasting, or similar data-rich products. Strong fit for current Product Managers; also open to Engineering Managers, ML Engineers, or tech leads who have shaped product direction end-to-end and are ready to make the switch into a PM seat. * Hands-on delivery instincts — equally comfortable in Jira (writing specs, defining epics, refining the sprint backlog, unblocking the team) as in strategic planning and stakeholder management. Co-leads the team day-to-day with your engineering manager pair. * Hands-on partnership with data science and machine-learning engineering teams — partnering on model evaluation, retraining cadence, feature decisions, and release discipline. * Strong analytical fluency — SQL proficiency, comfort interpreting model evaluation metrics, and the habit of interrogating performance at segment, cohort, and campaign level rather than blended aggregates. * Demonstrated ability to influence senior cross-functional stakeholders across marketing, finance, analytics, and engineering — translating technical model behaviour into commercial decisions. * Comfortable in fast-paced, ambiguous environments — balancing platform investments against fast-cycle experimentation, with shifting priorities and competing demands. Nice to have: * Working knowledge of mobile and web user acquisition — how bidding, attribution, and campaign optimisation actually work, including privacy frameworks such as SKAN/ATT or Privacy Sandbox. * Hands-on experience with mobile attribution platforms (AppsFlyer, Adjust, Branch, Firebase) and modern measurement frameworks (SKAdNetwork, GA4). * Exposure to Marketing Mix Modeling, incrementality testing, holdout design, or causal inference techniques. * Familiarity with feature stores (Databricks, Tecton, Feast) and modern MLOps tooling. * Subscription-app, health & wellness, or femtech domain background. * Exposure to agentic AI or LLM-orchestrated workflows for ML experimentation, research, or model evaluation. What you'll be doing You'll be responsible for: * Owning Flo's pLTV product roadmap end-to-end across iOS, Android, and Web — driving accuracy improvements, expanding feature coverage, extending prediction horizons, and pushing pLTV into new decision domains (creative testing, product roadmap, pricing, hypothesis validation) alongside its existing UA and Finance use cases. * Partnering with data scientists and engineers on feature strategy — deciding which inputs the model consumes and ensuring those features are available reliably in production. * Operating rigorous release discipline — gated rollouts, shadow-mode evaluation, drift detection, automated retraining, and post-launch calibration — so production models stay accurate as data distributions and platform policies evolve. * Working closely with data scientists and analysts to investigate model quality issues — country-level miscalibration, cohort drift, signal anomalies — and feeding findings back into the next iteration. * Helping scale Flo's agentic ML experimentation system from hundreds toward thousands of model runs — compounding quality gains back into production. * Acting as the primary product partner to User Acquisition leadership — translating model behaviour into bidding decisions, framing trade-offs, and aligning on attribution-window strategy. * Reporting model performance and strategic recommendations into monthly leadership reviews and quarterly investment decisions. * Contributing to Flo's next-generation measurement stack — including Marketing Mix Modeling, incrementality testing, and causal lift methodology — so marketing investment decisions are grounded in causal, not correlational, signal. #LI-Hybrid #LI-AJ1 Annual Salary Range (ranges may vary based on skills and experience) £92,000—£115,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.  What you'll get We support impact with meaningful reward. Here’s what that looks like: * Competitive salary and annual reviews * Opportunity to participate in Flo’s performance incentive scheme * Paid holiday, sick leave, and female health leave * Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents * Accelerated professional growth through world-changing work and learning support * In-person collaboration and work in a hybrid model, with 3 days per week spent in the office * 5-week fully paid sabbatical at 5-year Floversary * Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.