Role Description This role is focused on driving growth through paid user acquisition across digital channels, shaping strategies that increase engagement, retention, and overall user value. You will own the product roadmap for acquisition initiatives, collaborating closely with Marketing, Data Science, Design, and Engineering teams to optimize campaigns and build scalable, data-driven tools. The position requires a mix of strategic vision, technical aptitude, and analytical rigor, providing the opportunity to influence key business metrics. You will have the autonomy to innovate while ensuring that acquisition efforts are measurable, incremental, and aligned with long-term growth objectives. This is a fast-paced environment where your insights directly impact user acquisition efficiency and overall company success. - Lead product development initiatives to support and optimize paid user acquisition strategies - Define and execute a holistic UA roadmap, balancing long-term strategic goals with iterative improvements - Build and scale acquisition technology stacks, enabling data visibility, performance tracking, and optimization - Design seamless user experiences that retain acquired users and communicate value effectively - Collaborate cross-functionally with Design, Data Science, and Engineering to develop automated, scalable solutions - Ensure data integrity for attribution models, paid funnels, and incrementality metrics to guide decision-making Qualifications - Bachelor’s degree in Computer Science, Statistics, Economics, Engineering, Mathematics, or related field - 4+ years as a Product Manager for machine learning products OR 5+ years as a Data Scientist working with product teams - 1+ years of experience in performance marketing or user acquisition - Proven ability to deliver complex, large-scale projects in cross-functional settings - Strong analytical skills with applied statistical analysis expertise - Hands-on experience managing the full product development lifecycle - Ability to influence teams and stakeholders without direct authority - Nice-to-have: proficiency in SQL, advanced degrees in Probability, Statistics, or Behavioral Economics Requirements - Bachelor’s degree in Computer Science, Statistics, Economics, Engineering, Mathematics, or related field - 4+ years as a Product Manager for machine learning products OR 5+ years as a Data Scientist working with product teams - 1+ years of experience in performance marketing or user acquisition - Proven ability to deliver complex, large-scale projects in cross-functional settings - Strong analytical skills with applied statistical analysis expertise - Hands-on experience managing the full product development lifecycle - Ability to influence teams and stakeholders without direct authority - Nice-to-have: proficiency in SQL, advanced degrees in Probability, Statistics, or Behavioral Economics Benefits - Comprehensive healthcare, including medical, dental, vision, and income replacement programs - 401(k) plan with employer match - Global benefits tailored to work-life balance, workspace, professional development, and caregiving support - Family planning support and gender-affirming care - Mental health support and coaching benefits - Flexible vacation, paid volunteer time off, and generous parental leave - Equity in the form of restricted stock units, with eligibility for commission depending on role

• Own the vision and roadmap for Search & Discovery across web and app • Define how The Economist’s journalism is structured, indexed and represented for on-platform discovery • Lead the evolution of keyword and semantic search, including relevance, ranking and result quality • Own browse-led discovery and personalisation systems • Establish clear principles for editorial authority, transparency and explainability in search and discovery experiences • Partner closely with Editorial teams to ensure discovery reflects journalistic judgement, trust and breadth • Work with data science on the definition, evaluation and iteration of ranking and recommendation models and signals • Collaborate closely with Web and App teams to ensure consistent, high-quality implementation of search and discovery experiences • Define and track success metrics related to findability, exploration depth, relevance, satisfaction, habit formation and trust • Communicate strategy, priorities and performance clearly to senior stakeholders across product, editorial and technology

• Own the vision and roadmap for the core app experience and platform • Be accountable for app engagement KPIs, stability and performance • Own SDK strategy, platform dependencies and technical health • Lead development of Home, Weekly and core reading flows • Own backend-for-frontend capabilities, shared services and app foundations • Ensure high-quality implementation of personalisation in the front-end, in partnership with the Personalisation team • Define standards for native app quality, accessibility and best practice • Oversee push notification mechanics (triggering and segmentation) and coordination • Act as the central product contact for all app initiatives

• Own and optimise the end-to-end subscriber journey • Drive monetisation and experimentation • Innovate in customer care • Champion a data-driven culture • Lead with influence