AI Business Analyst / Product Manager

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

RTB House

Location: Poland (remote) We Are:  RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.  Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.   You Will: * Conduct the technical operations for our top clients in the Baltics and Balkan markets; * Technical support for new and existing clients by phone and email regarding all technical aspects of the campaigns; * Management of all technical issues with regard to campaign launching and running process; * Technical integration between internal campaign emission system (RTB House) and client’s e-commerce platform; * Work closely with our account managers to deliver high standards of customer service * Monitor and analyse the effectiveness of campaigns; * Propose optimization solutions for online programs; * Cooperate with our technical support team from Headquarter. Desired Experience:  * About 2+ years of experience in online technology, e-commerce and/or digital advertising; * Fluent English (C1 level); * Basic knowledge of HTML and JavaScript; * Experience with debugging tools (e.g. firebug, web browser consoles), Google Tag Manager is nice to have;  * Experience in using Google Analytics 4 will be an advantage; * Strong analytical skills; * Good time management skills and attention to detail; * Ability to solve problems efficiently; * High level of motivation and willingness to learn.   We Offer:  *   * A unique opportunity to join a creative, dynamic company in online advertising; * Competitive salary plus bonus scheme and personal development budgets; * Remote model ensuring a real work-life balance; * An amazing onboarding process to make sure you are equipped with all the necessary knowledge and tools to excel; * Numerous opportunities to build your own path of self-development; * Stable, long-term cooperation based on a B2B contract or contract of mandate. * Unique learning opportunities from commercial and HQ business support teams; * A proven history of customer satisfaction with our AI-powered retargeting technology (check out our client success stories at https://www.rtbhouse.com/success-stories/)   Apply now!  You don't need to tick every box to apply. If you are passionate about digital marketing, send us your CV, and we'll review it.

Neurons Lab

ABOUT THE PROJECT (DESCRIPTION, DURATION, STAGE) Neurons Lab is an FSI-focused AI consultancy that embeds directly with enterprise clients — banks, insurers, and financial institutions — to design and deliver AI transformation. As an AI Solutions Architect in our Talent Network, you will be the technical lead on client engagements, designing and delivering production-ready AI architectures. Most projects enter the discovery or pilot stage and run 6–12 weeks. This is a Talent Network engagement, not a full-time position. Projects are scoped and initiated by Neurons Lab when a client engagement begins. You are invited to join when a matching project is available, and you are free to take it. You work as a freelance contractor at 0.25–0.5 FTE per project (10–20 hrs/week). Between projects, there may be gaps, and you're free to hold other commitments alongside Neurons Lab. OBJECTIVE * Support business development through technical expertise and client communication * Enable engineering team growth and high-performance delivery * Contribute to critical AI system architecture and implementation KPI * Achieve 90%+ Customer Satisfaction Index (CSI) on technical delivery * Support team performance improvement and capability development * Deliver scalable AI system architectures that meet FSI compliance requirements AREAS OF RESPONSIBILITY BUSINESS DEVELOPMENT SUPPORT * Communicate project progress with customers, explaining business and technology logic clearly * Prepare upsell and account expansion ideas for existing clients * Assist in proposal preparation for new client engagements ENGINEERING TEAM ENABLEMENT * Lead AI Engineers on customer projects, create tasks, control performance, and share feedback (not all projects require AI Engineers) * Help the engineering team grow, identify, and support high-performers * Participate in performance reviews and performance improvement plans TECHNICAL ARCHITECTURE & IMPLEMENTATION * Take part in the implementation of critical software pieces * Define how AI transforms business processes; design end-to-end AI-powered experiences * Design scalable AI systems architecture; decide on model selection, deployment patterns, and infrastructure requirements * Bridge business stakeholders and technical teams; translate business needs into technical specifications * Design how multiple AI agents/models work together; define agent-to-agent communication protocols * Establish AI development standards, safety protocols, and compliance frameworks * Design systems for AI safety, bias mitigation, and failure modes; implement monitoring and intervention systems SKILLS TECHNICAL EXCELLENCE * AI system architecture design and implementation * Model selection and deployment pattern expertise * Multi-agent system design and communication protocols * AI safety and compliance framework development * Business process transformation through AI LEADERSHIP & COMMUNICATION * Advanced written and oral communication in English * Technical team leadership and performance management * Business stakeholder communication and requirement translation * Client relationship management and technical explanation abilities EXPERIENCE Key characteristics (ideally to have 4/4): * Experience in hands-on AI/ML solutions development * Experience working with financial services clients or inside an FSI company Experience with large, regulated organisations (banks, insurers, government, utilities) is a plus. * Experience working in a cloud hyperscaler All three major hyperscalers are treated as equally valid for this role. Neurons Lab serves clients across Azure, AWS, and GCP environments and needs certified architects on each platform. * Experience in technology consulting or service business