5 jobs found

We believe it takes great people to create a great product. That's why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. The Director of Product Analytics leads Pipedrive's global product analytics function, transforming data into actionable insights that accelerate growth and optimize the performance of the website and product offerings. This role partners deeply with our Product teams to understand customer behavior, pain points and optimisation opportunities, enabling prioritisation of the most impactful enhancements for our customers, and driving the experimentation programme to measure and understand their impact. Your new adventure: Lead and grow a high-performing Product Analytics team focused on behavioral analysis, experimentation, and product data science Define and evolve a global product measurement strategy, ensuring key metrics align product development with business growth and customer retention Build and maintain a unified behavioral analytics framework to map the customer journey-from first website interaction to product adoption and renewal Partner with Product, Engineering, and Marketing to inform roadmaps and connect acquisition channels with in-product behavior Own and scale the experimentation framework, promoting rigorous A/B testing and a strong culture of learning and iteration Turn complex behavioral data into clear insights, dashboards, and narratives that highlight user value and friction points for stakeholders Enable data-informed decision-making by expanding self-service analytics tools and supporting Product Managers with training and guidance Explore and implement AI-driven solutions to improve efficiency, enhance self-serve analytics, and support innovation Does this sound like you? 10+ years in analytics, including at least 5 years leading Product Analytics or Product Data Science functions in a SaaS or digital-first company Experience building, managing, and scaling analytics teams (ideally 10+ people) in a high-growth, global environment Strong understanding of user behavior analysis, retention, and product-led growth principles Advanced proficiency in SQL and data visualization tools (e.g., Tableau), along with experience in behavioral analytics and experimentation platforms (e.g., Amplitude, Optimizely) Experience designing and analyzing A/B and multivariate tests, with a solid understanding of statistical significance and experimental rigor Ability to translate complex data into clear insights and recommendations that influence senior stakeholders, including VP and executive levels Experience applying machine learning or predictive modeling to product use cases (e.g., churn prediction) Strong understanding of SaaS metrics (e.g., LTV/CAC) and how product engagement impacts business performance Why Pipedrive: People-first culture - Be part of a team that values authenticity, champions collaboration, and supports each other-no egos, just teamwork. Work alongside top talent from around the world in an inclusive space where different perspectives fuel our best ideas. Everyone is welcome Unlock potential - Push boundaries, take ownership, and experiment with the latest technologies as we enhance our AI First Vision. We empower bold ideas that drive real change We've got you - Your well-being matters. Enjoy flexible hours, wellness perks, and SWAG. Think performance-based bonuses, 28 paid leave days, well-being days, compassionate leave, and even pawternal leave-because we take care of ourselves and our people Grow with us - Whether through mentorship, coaching, or internal mobility, we invest in helping you unlock your potential. Open, honest feedback and clear communication are at our core. We grow together through trust and accountability Packed with purpose - Help 100,000+ small and medium-sized businesses grow and succeed while doing meaningful, customer-driven work Based on this role's access to certain data, Pipedrive might conduct a pre-employment background investigation in conjunction with your application for employment with our company. Such data will be handled in accordance with Pipedrive's Privacy Policy for Recruitment. Pipedrive is an equal opportunity employer. We encourage diversity in the workplace regardless of age, gender, race, religion, disability, sexual orientation, gender identity or veteran status. Please note that for this role we're currently unable to offer relocation assistance or visa sponsorship.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we're behind some of Spotify's most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you'll keep millions of users listening by making great recommendations to each and every one of them. Spotify is building the future of music, podcasts, and audio experiences - and conversational AI is a key part of that journey. Within our Conversation Product Area, we're creating the platform that powers intelligent, interactive experiences across Spotify. In this role, you'll lead the Agent Platform - the foundation behind experiences like AI DJ, Prompted Playlists, and integrations with partners such as ChatGPT, Google Gemini, and Alexa. You'll help bring these systems together into a unified platform that enables teams across Spotify to build consistent, high-quality conversational experiences. What You'll Do Define and drive the vision, strategy, and roadmap for the Agent Platform that powers conversational experiences across Spotify Build a unified platform that supports features like AI DJ, Search, Prompted Playlists, and partner integrations Work closely with internal engineering teams to understand their needs and improve how they build and scale agent-based experiences Shape the tools, capabilities, and integrations the platform provides, balancing immediate product needs with long-term scalability Define and track metrics that measure agent performance, including quality, reliability, latency, and cost Partner with engineering, design, and product leaders to align priorities and deliver on shared goals Ensure strong observability, evaluation, and monitoring capabilities are built into the platform Stay up to date with advances in AI and conversational systems, and apply those insights to evolve the platform Who You Are You have 6+ years of product management experience, including work on platform, infrastructure, or developer-focused products You have experience working with AI or machine learning products, such as LLM-based systems or conversational experiences You are comfortable engaging in technical discussions and making trade-offs between different system designs You have experience working across teams and aligning stakeholders in complex, evolving environments You think deeply about developer experience and care about building tools that help others move faster You are comfortable working in ambiguity and helping shape product direction while delivering results You communicate clearly and can translate complex technical ideas into simple, compelling narratives You have experience with evaluation systems, agent frameworks, or similar technologies, or you're excited to learn Where You'll Be This role is based in Stockholm or London We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service.

# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%

Expedia Group B2B is the Business-to-Business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world, including global financial institutions, corporate managed travel, offline travel agents, global travel suppliers such as major airlines, and many more. As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments. We are seeking an exceptional Sr Technical Product Manager to join Expedia Group B2B. This role will partner with the Director, Machine Learning Science - Recommendations & Relevance to build cutting-edge Machine Learning and AI solutions that enhance our partners' user experiences and optimise their product offerings. You will focus on delivery management and on translating business requirements into clear problem statements and technical requirements for applied ML algorithms in the recommendations and relevance space. The ideal candidate combines strong product/program management skills with a deep understanding of machine learning science to drive substantial value for Expedia Group B2B and our partners across multiple domains. In this role, you will Partner with the Director, Machine Learning Science - Recommendations & Relevance, and cross-functional leadership to define and execute the applied science roadmap that improves recommendation quality, traveller engagement, and partner outcomes across all B2B products. Own planning and delivery for key initiatives, from problem framing and opportunity sizing through data discovery, feature and signal definition, experiment design, model development, online testing, and rollout. Translate partner and product needs into clear requirements, success metrics, and prioritised backlogs for the Recommendations & Relevance Machine Learning Science team, ensuring strong alignment with Product Management, Engineering, and Analytics. Drive program execution and transparency across multiple teams, managing timelines, dependencies, and risks, and communicating plans, progress, and results to senior stakeholders in a clear and compelling way. Champion operational excellence in the science lifecycle by promoting best practices in experimentation, offline and online evaluation, documentation, and post-launch learning to continuously raise the bar on scientific rigor and impact. Experience and qualifications Bachelor's or master's degree in computer science, engineering, statistics, mathematics or a related quantitative field, or equivalent practical experience. 5+ years of experience in technical product management or technical program management in machine learning, data-intensive, or large-scale platform domains, with a proven track record of delivering complex technical products or initiatives. Strong understanding of applied machine learning concepts (for example, supervised learning, ranking, recommendation, relevance), data ecosystems (such as data lakes, batch and streaming data processing), and how models are trained, evaluated, deployed, and monitored in production environments. Demonstrated ability to translate ambiguous business problems into structured scientific problem statements, measurable success metrics, and clear technical roadmaps and requirements, balancing near-term impact with longer-term platform and capability investments. Excellent communication, collaboration, and stakeholder management skills, with the ability to bridge technical and non-technical audiences, lead cross-functional initiatives, and manage multiple projects simultaneously in a fast-paced environment. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.