Are you driven by the desire to deliver exceptional client experiences and thrive in a dynamic environment? At INFUSE, we're seeking a passionate Client Success Specialist to join our team, where your efforts directly contribute to our clients' satisfaction and our company's success. This position offers an enriching path to professional growth and the unique opportunity to work with a variety of industries, ensuring no two days are the same. INFUSE has built a reputation as a beloved employer by prioritizing employee satisfaction and creating a workplace where everyone feels valued and connected. Joining our team means becoming part of a supportive community that celebrates every success and encourages continuous improvement. You'll discover how our employees love their jobs, driven by the meaningful connections they make and the positive impact they have on our clients' businesses.

Key Responsibilities

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing? 

• Manage projects as well as lead our business growth, the data consulting teams welcome all business and technical background joiners, who would thrive as an expert in a specific field, or truly versatile players.
• In this fast-paced, fast-growing industry, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• You wield both “business” and “data” knowledge, with experience ideally in a digital marketing consulting firm; You already have a first understanding of digital technologies, and care to develop more in the exciting world of data and digital business

What are we looking for? 

• You must have previous Management Consultancy, ideally within Strategy Consulting or Data Consulting.
• Graduated from Business school or Engineering, in our eyes' the most important qualities are intellectual curiosity, autonomy, and dynamism.
• We are looking for profiles with the double hat “business” and “data”, with at least 1-2 years of experience, and in the use of BI tools or data analysis.
• You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…).

Artefact is the place to be: come and build the future of data and marketing!
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.

Enveritas builds solutions to improve the measurement of sustainability in agricultural supply chains and include smallholder farmers in responsibly sourced agricultural products, in particular coffee and cocoa. A key component of this requires developing and financing projects that directly improve sustainability of production and benefit the livelihoods of smallholder farmers.

We are a dynamic non-profit organization working across 34 coffee and cocoa growing countries around the world, with a remote-first environment. We bring together technology and machine learning with rigorous field processes to collect and process data on supply chain sustainability and environmental impact. This is made possible by a hardworking and diverse team dedicated to delivering impact to smallholder farmers and developing more sustainable cocoa and coffee supply chains.

Summary  

Enveritas, working with its implementation partner in Indonesia, is seeking an experienced and motivated Indonesia Cocoa Agronomist to support our growing sustainability work in Indonesia. This role will provide technical cocoa agronomy expertise to strengthen field interventions, improve the quality of agronomy-related data collection, and generate insights to support reporting, verification, and outcomes.

We are looking for a self-driven individual with strong knowledge of cocoa Good Agricultural Practices (GAP), experience working with smallholder farmers, and the ability to collaborate closely with implementing partners and stakeholders across the cocoa sector.

The position is part-time, with an expected commitment of 10 - 20 hours per week throughout the 6-month contract term. You will be based in Indonesia with frequent travel to rural cocoa-growing areas, particularly Sulawesi. You will work with a small team of regional and international staff and have the backing of Enveritas’ global expertise in sustainability and operations delivery.

Key Responsibilities 

Agronomy Technical Support

• Provide technical advice on cocoa agronomy and Good Agricultural Practices (GAP) for smallholder farmers in Indonesia
• Design and develop agronomy-focused interventions, e.g. improving yield, pest and disease management, and rehabilitation practices
• Run selected farmer trainings
• Train agents on how to provide and run farmer training

Questionnaire and Tool Development

• Develop and refine agronomy-related questionnaires and field monitoring tools
• Ensure survey accurately captures farmer practices, constraints, and sustainability indicators, especially in the context of cocoa

Monitoring, Verification, and Reporting

• Conduct field-based monitoring to assess adoption of agronomic practices and implementation quality
• Support verification and agronomy assessments through field visits and data review
• Analyze agronomy-related data, track key project indicators, and contribute insights to internal and external reports (experience with Excel preferred)
• Monitor the quality of data collected daily, synthesize insights and report results to the regional team
• Support presentations for key in-country stakeholders

Partner and Stakeholder Engagement

• Support coordination with implementing partners, extension services, farmer organizations, NGOs, and other key cocoa stakeholders in Indonesia
• Contribute to mapping and strengthening agronomy-related stakeholder networks in Indonesia

Required qualifications:

• Bachelor’s degree in Agronomy, Agriculture, Crop Science, or a related field
• 4+ years of professional experience in cocoa agronomy, farmer training, or agricultural development programs
• Strong knowledge of cocoa GAP and smallholder farming systems in Indonesia (Sulawesi experience preferred)
• Experience supporting agronomy monitoring, data collection, and/or questionnaire development
• Ability to synthesize field findings into clear recommendations and reporting inputs
• Strong communication skills in Bahasa Indonesia and working proficiency in English
• Willingness to travel regularly to rural cocoa-growing regions and work closely with field teams
• Proactive, self-driven, and motivated to support sustainable rural development

Preferred qualifications:

• Experience with sustainability standards or certification-linked cocoa programs
• Familiarity with climate-smart or regenerative cocoa approaches
• Experience working with NGOs, research institutes, or multi-stakeholder cocoa initiatives in Indonesia

How to Apply

Please apply via our Greenhouse job posting. Feel free to contact us at jobs@enveritas.org should you have any questions about the position or the interview process. Questions about this opportunity or process will not reflect negatively on your application.

We care deeply about diversity. Our work is complex and nuanced, so the more diversity we have in the voices working on our problems, the larger of an impact our work can have for the world. Enveritas is an Equal Opportunity Employer ​encouraging an inclusive and diverse workforce. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each individual brings to the workplace. We are dedicated to hiring employees who reflect the communities we serve and strongly encourage qualified candidates from all backgrounds to apply.​

A few notes about our communications: We are not able to reply to messages sent to staff outside of either our application process or our jobs email address, as this is unfair to other candidates. Also, Enveritas has been made aware of fake job postings by individuals pretending to hire persons seeking employment. These individuals are looking to collect personal information about you for fraudulent purposes. All legitimate Enveritas job openings are posted under https://enveritas.org/jobs/ and all recruiting emails from Enveritas team members will come from @enveritas.org.

About Us

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organisations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1700+ employees across 23 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

About the Role

As a Consulting Manager, you will play a pivotal role in leading AI-driven transformation projects for our clients, shaping their data, technology, and business strategies.

You will leverage your consulting expertise and strong interest in AI to deliver impactful solutions, bridging the gap between business needs and technological possibilities.

Working closely with cross-functional project teams, you will be at the forefront of defining client challenges, developing strategic recommendations, and delivering high-impact initiatives involving AI, data engineering, and digital innovation.

Our most successful Managers are passionate about technology, adaptable across industries, and quickly take ownership of client relationships and team development.

Key Areas of Responsibility

• Define client needs and project scopes through workshops, interviews, and diagnostics with business and technology stakeholders.
• Lead and deliver AI-related consulting projects, including AI adoption strategies, data science application roadmaps, and operational transformations.
• Perform advanced research and structured analysis to solve strategic challenges, particularly around AI deployment, data-driven innovation, and process automation.
• Formulate and present strategic recommendations backed by data insights, AI applications, and business analysis.
• Develop new business opportunities by identifying client challenges and translating them into concrete consulting proposals.
• Collaborate with AI experts, data scientists, and engineers to ensure pragmatic and scalable client solutions.
• Contribute to thought leadership on AI, data transformation, and digital innovation through articles, research papers, and client-facing publications.

Competences & Skills

• 5–10 years of full-time, client-facing consulting experience (preferably with exposure to technology, digital, or data-driven projects).
• Prior experience working at a leading consulting firm (e.g., top-tier or recognized boutique consulting firms) is highly desirable.
• Strong interest in AI applications, machine learning, automation, or data strategy — practical project experience in these areas is highly desirable.
• Bachelor's or Master’s degree in Business, Technology, Engineering, Data Science, or a related field.
• Solid knowledge of consulting methodologies and project management best practices.
• Ability to structure problems, perform advanced business analysis, and translate findings into actionable recommendations.
• Excellent intercultural communication skills and experience working with diverse teams across industries.
• Comfort with fast-paced environments and ambiguity typical of AI and emerging technology engagements.
• Proficiency with business analysis tools such as PowerPoint and Excel; familiarity with AI/ML concepts and/or data environments (SQL, Python basics) is a plus.

Our Belief

We believe data is changing the world, and it’s just the beginning. We want this to be done in the right way, with transparency and ethics. This is the only way to create sustainable impact for business and society.

Our Mission

We are on a mission to build the next generation of data leaders who:

• Fully capture the power of data & digital to deliver business value ;
• Bring understanding, trust & transparency of data into our society.

Our Values

• Collaboration : People of different background and expertise working closely together;
• Trust & Transparency: Dealing with data topics with integrity and ethics; Realistic and honest with our capabilities and limitations;
• Innovation: Always working on the most trendy and new topics on data and digital; Always on top of the new ways of using data;
• Action: We would rather do than to tell what to do; Has a “building the plane while flying” agile mentality.

Our Unique Attributes

• We bring great value to business and create a better society with the understanding, transparency and ethical use of data ;
• We build the next generation of data leaders ;
• We disrupt the market :
• Data Native - Born with data and defining data ;
• ART + SCIENCE - Mixture of talents in ART (Creative, Planning, Media, Consumer Engagement) and SCIENCE (Data Consulting, Data Science, Data Engineer) ;
• One P&L - Integrated & collaborative, with all chapters working toward the same goal ;
• End to End - Capabilities from Strategize to Build to Run.

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

What you will be doing?

About the Team

We are looking for Software Engineers who want to go beyond just writing code — engineers who want to shape the backbone of modern fintech.

In Treasury and Financial Systems, every line of code you write directly impacts financial accuracy, liquidity, and trust. You’ll design and maintain systems that power reporting, reconciliation, and automation — the unseen yet critical infrastructure that keeps digital finance running smoothly.

It’s an opportunity to work at the intersection of engineering, finance, and operations. You’ll collaborate with Operations, Finance, and Compliance, taking ownership of projects end-to-end, and learning how technology safeguards hundreds of millions in financial flows.

What You Will Do

• Build reporting platforms that ensure compliance and precision. You’ll learn how to design systems where accuracy is paramount.
• Develop dashboards and monitoring systems that track and reconcile assets vs. liabilities — giving the company the confidence to scale products backed by real liquidity.
• Build automated reconciliation systems — the foundation of every fintech. You’ll learn how to detect, investigate, and resolve mismatches across internal and external financial systems.
• Create systems that take manual accounting work off the table by automatically generating journal and ledger entries into ERP and treasury platforms.
• Work closely with Finance, Treasury, Data, and Compliance to transform domain-heavy requirements into elegant, scalable technical solutions.
• Implement real-time monitoring and anomaly detection for treasury operations — so issues are caught before they become problems.

What We’re Looking For

• 1 year of software engineering experience, fresh graduated are welcome to apply
• Proficiency in Ruby on Rails or Golang (both is a big plus).
• Strong data analysis skills: BigQuery, SQL optimization, dbt, and familiarity with OLTP/OLAP tradeoffs.
• SQL and database design expertise.
• Experience building and consuming RESTful APIs, ideally in a microservices architecture.
• Proficiency in CI/CD pipelines and Git workflows.
• Strong English communication skills, both written and spoken.
• Bonus: familiarity with Agile, fintech, or financial systems.

What You Will Gain

• Deep domain expertise — You’ll learn how financial systems really work under the hood: reconciliations, liquidity, compliance, and reporting.
• High ownership environment — You won’t be a cog in the machine. You’ll drive projects that directly influence how money moves across products and markets.
• Cross-disciplinary learning — You’ll partner with Finance, Treasury, and Compliance teams, giving you rare exposure outside the typical software silo.
• Impact at scale — The systems you build safeguard trust in financial products used across Southeast Asia.

Nice to Haves

• Experience integrating ERP finance modules.
• Experience with digital wallets, bank payment rails, or blockchain.
• Knowledge of financial audit and reporting principles.

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 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