As our journalism spans an ever-growing archive and range of formats, helping audiences find, explore and understand our content within our products is central to delivering long-term value. Search and discovery are not simply navigational utilities, but core expressions of how our journalism is structured, explained and trusted. 

We are seeking an experienced and highly capable Principal Product Manager to lead Search & Discovery across The Economist’s web and app products. This role brings together responsibility for how users actively find content through search and how they browse, explore and build reading habits through discovery. 

This role is ideal for someone who is both strategic and hands-on - someone who can set a clear vision for a complex, editorially-grounded product area while also driving measurable improvements to engagement, satisfaction and long-term subscriber value. 

The role 

The Principal Product Manager for Discovery & Personalisation will own how subscribers find, explore and return to The Economist's journalism across web and app. This is a senior, cross-cutting role spanning two closely related disciplines:

Discovery. Owning the on-platform representation of our content - search, navigation, browse patterns and conversational interfaces that allow users to interrogate the archive and find authoritative journalism efficiently. This includes keyword and semantic search, ranking and surfacing logic, and generative AI features such as Q&A, content summarisation and conversational discovery experiences. A key part of this work is establishing the evaluation frameworks and human-in-the-loop processes that ensure AI-powered features are grounded in user trust and consistent with our editorial brand.       

Personalisation. Owning the recommendation and ranking algorithms that drive browse-led experiences — helping subscribers decide what to read, watch or listen to next. This means defining the behavioural signals and contextual inputs that feed personalisation models, partnering with data science on model development and evaluation, and ensuring our systems support habit formation without narrowing editorial perspective.

The role interfaces with Web, App, Data science, Editorial and Analytics teams.

Responsibilities

• Own the vision and roadmap for Discovery & Personalisation across web and app.
• Lead the evolution of keyword and semantic search, including relevance, ranking and result quality.
• Own browse-led personalisation systems — defining the signals, models and decisioning logic that surface relevant, timely content for individual subscribers.
• Lead the creation of generative AI features including Q&A, content summarisation, explainer and conversational discovery experiences that help users explore and connect our journalism.
• Establish robust evaluation frameworks and human-in-the-loop processes to ensure AI-powered features are accurate, transparent and aligned with our editorial values.
• Partner closely with data science on the definition, evaluation and iteration of ranking and recommendation models.
• Maintain strong judgement around responsible, transparent and editorially-aligned personalisation — preserving journalistic breadth and integrity.
• Work closely with Editorial to ensure discovery and personalisation reflect journalistic judgement and trust, and that the right feedback loops are in place.
• Collaborate with Web and App teams to ensure consistent, high-quality implementation of discovery and personalisation experiences across platforms.
• Define and track success metrics related to findability, relevance, engagement, habit formation and trust.
• Communicate strategy, priorities and performance clearly to senior stakeholders across product, editorial and technology.

The ideal skills for this role are:

• Builder: You have owned and shipped complex search, discovery, recommendation or personalisation systems in content-rich or subscription products.
• AI-fluent: You have hands-on experience defining and evaluating generative AI features — you understand the product, trust and editorial considerations that make AI experiences succeed or fail.
• Data-informed: Comfortable working with data scientists on ML-driven systems, evaluation frameworks and experimentation.
• Product-led: Strong judgement in defining strategy, translating it into roadmaps, and delivering outcomes through cross-functional teams in lean environments.
• Editorially-aware: Confident balancing user intent, algorithmic optimisation and editorial integrity.
• Communicator: Able to explain complex systems and trade-offs clearly to both technical and non-technical audiences.
• Collaborative: Comfortable learning, iterating and working across disciplines — engineering, data science, design and editorial — in a fast-moving environment.

Domain knowledge

• Search and discovery systems, including semantic retrieval, ranking and evaluation.
• Personalisation systems, behavioural signals and experimentation.
• Generative AI product development and conversational interface best practices.
• Responsible AI, algorithmic transparency and human-in-the-loop design.
• Metrics for discovery quality, relevance, user understanding and trust.
• Subscription or habit-forming digital products.
• Multi-format digital content environments.
• Enthusiasm for The Economist's mission, journalism and global audience.

#LI-Hybrid 

As our digital subscription business grows, so does the importance of delivering thoughtful, frictionless, and value-driven experiences across the entire subscriber lifecycle. 

The role 

We are seeking a motivated Associate Product Manager to join our Subscriber Growth & Lifecycle product pillar. In this role, you will support the continuous improvement of subscription journeys that maximise subscriber lifetime value and foster long-term loyalty across web and app. 

This is a hands-on role with strong exposure to strategy and delivery. You will contribute to initiatives across retention, upgrades, and customer care, working closely with experienced product managers, engineers, analysts, marketers, and customer operations teams. It offers a valuable opportunity to develop deep expertise in subscription products, monetisation, and experimentation within a globally recognised media organisation. 

Responsibilities

With support from Senior Product Managers, you will be responsible for:

• Own and optimise the end-to-end subscriber journey: You will be the product manager for key in-life subscription experiences, including upgrades, downgrades, cancellations, and re-engagement flows. You will continuously identify and address friction points, and champion a subscriber-first mindset in everything you do. 
• Drive monetisation and experimentation: You will develop and execute a roadmap of monetisation initiatives, including offers, add-ons, and subscription tiers. You will design and run experiments to optimise our upgrade and retention paywalls, and use data to inform our pricing and packaging strategies. 
• Innovate in customer care: You will partner with our Customer Care teams to redefine how we serve our subscribers. You will lead the development of our self-service and assisted service journeys, including implementing AI-powered bots and other automation technologies to improve efficiency and customer satisfaction. 
• Champion a data-driven culture: You will define and analyse key metrics such as churn, upgrades, engagement, and customer satisfaction. You will use this data to measure the impact of your initiatives, identify new opportunities, and communicate your progress to stakeholders.
• Lead with influence: You will write clear and compelling user stories, acceptance criteria, and product documentation. You will use your strong communication and collaboration skills to align your team and stakeholders around a shared vision and roadmap. 

Who you are

• A proven track record of driving results: You have some experience in product management or a similar role (such as Product Marketing or Product Analytics) with a focus on digital customer journeys. You can point to specific examples of how you have used offers, discounts, add-ons, or subscription tiers to achieve business goals. 
• A deep understanding of the subscriber lifecycle: You have experience with paywall campaigns, experiments, or launches across web and app. You are familiar with the key levers for driving subscriber engagement, retention, and lifetime value. 
• A strategic and analytical mindset: You are comfortable working in a fast-paced, ambiguous environment with shifting priorities. You have a structured, data-informed approach to problem-solving and prioritisation. You are proficient in using data to make decisions and measure success. 
• Exceptional collaboration and communication skills: You are a natural collaborator who can work effectively with designers, engineers, analysts, and operational teams. You can articulate your ideas clearly and persuasively, and you are a great listener. 
• A "go-getter" mindset with high autonomy: You are a self-starter who takes initiative and can run with things independently. While you will have support from senior PMs, you are comfortable taking the lead on projects, navigating ambiguity, and proactively pushing initiatives to completion. 

Nice to have: 

• Experience managing monetisation for a B2C app and web product. 
• Exposure to monetisation automation, personalisation, or machine-learning-driven decisioning.
• Familiarity with subscription platforms or lifecycle marketing tools (e.g., Zuora, SF). 
• Experience with data analysis and visualisation tools (e.g., Amplitude, Tableau, SQL). 

Why this role matters 

This is an opportunity to make a real impact on The Economist's future. By improving our in-life subscription experience, you will not only drive revenue growth but also help us build a more sustainable and resilient business. You will be at the heart of our efforts to create a lifelong relationship with our readers and to ensure that The Economist remains the world's leading source of analysis on international business and world affairs for generations to come. 

#LI-Hybrid 

As our journalism spans an ever-growing archive and range of formats, helping audiences find, explore and understand our content within our products is central to delivering long-term value. Search and discovery are not simply navigational utilities, but core expressions of how our journalism is structured, explained and trusted. 

We are seeking an experienced and highly capable Principal Product Manager to lead Search & Discovery across The Economist’s web and app products. This role brings together responsibility for how users actively find content through search and how they browse, explore and build reading habits through discovery. 

This role is ideal for someone who is both strategic and hands-on - someone who can set a clear vision for a complex, editorially-grounded product area while also driving measurable improvements to engagement, satisfaction and long-term subscriber value. 

The role 

The Principal Product Manager for Discovery & Personalisation will own how subscribers find, explore and return to The Economist's journalism across web and app. This is a senior, cross-cutting role spanning two closely related disciplines:

Discovery. Owning the on-platform representation of our content - search, navigation, browse patterns and conversational interfaces that allow users to interrogate the archive and find authoritative journalism efficiently. This includes keyword and semantic search, ranking and surfacing logic, and generative AI features such as Q&A, content summarisation and conversational discovery experiences. A key part of this work is establishing the evaluation frameworks and human-in-the-loop processes that ensure AI-powered features are grounded in user trust and consistent with our editorial brand.       

Personalisation. Owning the recommendation and ranking algorithms that drive browse-led experiences — helping subscribers decide what to read, watch or listen to next. This means defining the behavioural signals and contextual inputs that feed personalisation models, partnering with data science on model development and evaluation, and ensuring our systems support habit formation without narrowing editorial perspective.

The role interfaces with Web, App, Data science, Editorial and Analytics teams.

Responsibilities

• Own the vision and roadmap for Discovery & Personalisation across web and app.
• Lead the evolution of keyword and semantic search, including relevance, ranking and result quality.
• Own browse-led personalisation systems — defining the signals, models and decisioning logic that surface relevant, timely content for individual subscribers.
• Lead the creation of generative AI features including Q&A, content summarisation, explainer and conversational discovery experiences that help users explore and connect our journalism.
• Establish robust evaluation frameworks and human-in-the-loop processes to ensure AI-powered features are accurate, transparent and aligned with our editorial values.
• Partner closely with data science on the definition, evaluation and iteration of ranking and recommendation models.
• Maintain strong judgement around responsible, transparent and editorially-aligned personalisation — preserving journalistic breadth and integrity.
• Work closely with Editorial to ensure discovery and personalisation reflect journalistic judgement and trust, and that the right feedback loops are in place.
• Collaborate with Web and App teams to ensure consistent, high-quality implementation of discovery and personalisation experiences across platforms.
• Define and track success metrics related to findability, relevance, engagement, habit formation and trust.
• Communicate strategy, priorities and performance clearly to senior stakeholders across product, editorial and technology.

The ideal skills for this role are:

• Builder: You have owned and shipped complex search, discovery, recommendation or personalisation systems in content-rich or subscription products.
• AI-fluent: You have hands-on experience defining and evaluating generative AI features — you understand the product, trust and editorial considerations that make AI experiences succeed or fail.
• Data-informed: Comfortable working with data scientists on ML-driven systems, evaluation frameworks and experimentation.
• Product-led: Strong judgement in defining strategy, translating it into roadmaps, and delivering outcomes through cross-functional teams in lean environments.
• Editorially-aware: Confident balancing user intent, algorithmic optimisation and editorial integrity.
• Communicator: Able to explain complex systems and trade-offs clearly to both technical and non-technical audiences.
• Collaborative: Comfortable learning, iterating and working across disciplines — engineering, data science, design and editorial — in a fast-moving environment.

Domain knowledge

• Search and discovery systems, including semantic retrieval, ranking and evaluation.
• Personalisation systems, behavioural signals and experimentation.
• Generative AI product development and conversational interface best practices.
• Responsible AI, algorithmic transparency and human-in-the-loop design.
• Metrics for discovery quality, relevance, user understanding and trust.
• Subscription or habit-forming digital products.
• Multi-format digital content environments.
• Enthusiasm for The Economist's mission, journalism and global audience.

#LI-Hybrid 

Advertising plays a vital role in funding our journalism and supporting our global reach. At the same time, The Economist is a subscription-led, editorial-driven product, and advertising must be delivered in a way that respects audience trust, protects the reader experience and upholds our brand. 

We are seeking a Head of Ad Product to lead the strategy, technical ownership and delivery of advertising products across The Economist’s digital ecosystem. 

This role sits within the Product organisation, reporting to the VP, Engagement, to ensure that advertising products are developed with a strong product mindset - balancing commercial value with user experience, editorial integrity and long-term sustainability. It will have a dotted line to the Global Head of Advertising. 

The role

The Head of Ad Product will be accountable for the end-to-end advertising product portfolio across The Economist’s owned and operated platforms. 

You will own the advertising product vision and roadmap, and provide technical product leadership across the advertising technology stack spanning web, mobile app, newsletters, Espresso and future surfaces. 

A core responsibility of this role is balance: ensuring advertising is an integrated, high-quality part of a subscription-first ecosystem - effective for advertisers, operationally sound for the business, and appropriate within a premium editorial experience. 

You will lead the evolution of advertising products that make responsible, privacy-safe use of The Economist’s first-party data, enabling relevant, high-value advertising while maintaining audience trust and complying with regulatory requirements. 

You will manage and lead a cross-functional product squad and work in close partnership with the Global Head of Advertising, who is your primary commercial stakeholder. Together, you will shape how advertising evolves at The Economist, while this role remains accountable for product quality, platform integrity and user experience.

Responsibilities 

• Own the product vision and roadmap for advertising across The Economist’s digital products. 
• Manage and prioritise the advertising product backlog, leading a dedicated product squad. 
• Define how advertising fits coherently within a subscription-led, editorial-first ecosystem. 
• Lead technical product ownership of the advertising stack across web, app, newsletters and Espresso. 
• Define how first-party data is responsibly leveraged to support targeting, measurement and performance - in line with privacy, consent and trust expectations. 
• Ensure advertising products are scalable, performant, privacy-compliant and future-ready. 
• Partner closely with the Global Head of Advertising to translate commercial strategy into product capabilities. 
• Lead the discovery, design, delivery and optimisation of advertising formats, sponsorships and integrations. 
• Set clear standards for ad quality, placement, relevance and user experience. 
• Work with engineering teams to define architecture and integrations that balance optimal ad delivery with uncompromised content performance and user experience. ● 
• Partner with Revenue Operations to streamline ad-related workflows and reduce operational complexity. 
• Own relationships with key ad tech vendors and platforms, ensuring they support first-party-data-led strategies. 
• Establish feedback loops between sales, editorial, product and operations to drive continuous improvement.
• Communicate product strategy, trade-offs and progress clearly to senior stakeholders.

Who you are

• Senior product leader: Significant experience owning complex, platform-level products. 
• Ad tech fluent: Deep understanding of digital advertising systems, including first-party data-driven models. 
• Product-first mindset: Strong judgement about balancing monetisation with user experience and trust. 
• Technically confident: Comfortable engaging deeply with engineers on architecture, data flows and trade-offs. 
• Data-aware: Experience working with audience data, consent frameworks and measurement systems. 
• Strategic thinker: Able to set direction while driving execution through teams. 
• Commercially aware: Understands how advertising products deliver value for clients and the business. 
• Collaborative: Effective partner to editorial, sales, operations and technology leaders. 
• Clear communicator: Able to explain complex decisions to technical and non-technical audiences. 
• Pragmatic and decisive: Comfortable making prioritisation decisions in a live, high-impact environment. 

Domain knowledge 

• Experience working with ad servers, programmatic platforms and sponsorship products. 
• Strong understanding of first-party data strategies in premium or subscription-led environments.
• Familiarity with privacy, consent, identity and regulatory requirements in digital advertising. 
• Experience delivering products across multiple platforms (web, app, email).
• Enthusiasm for The Economist’s mission and editorial standards.

#LI-Hybrid