About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly with the team. No jargon-just straightforward, actionable insights. - Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset-eager to take ownership of tasks and deliver value without waiting for direction. - Ability to work independently, learn fast, and iterate without being bogged down by unnecessary processes. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, with an emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - Be able to easily switch between thinking creatively and analytically. - An interest in the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Jun 27, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly with the team. No jargon-just straightforward, actionable insights. - Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset-eager to take ownership of tasks and deliver value without waiting for direction. - Ability to work independently, learn fast, and iterate without being bogged down by unnecessary processes. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, with an emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - Be able to easily switch between thinking creatively and analytically. - An interest in the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. - Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. - Write clean, efficient, and maintainable code while following best practices and coding standards. - Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. - Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. - Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. - Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. - Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements : - A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - 1-2 years of experience in back-end development or related field, with a focus on server-side technologies. - Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. - Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. - Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. - Familiarity with version control systems such as Git. - Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. - A passion for solving problems with technology and working to deliver efficient, scalable solutions. - A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. - Understanding of security best practices for back-end development. - Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. - Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Jun 27, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers to design, build, and maintain back-end services and systems that support our AI-powered products, all whilst meeting launch deadlines. - Assist in the development and optimization of scalable, high-performance systems to support large volumes of data and machine learning models. - Write clean, efficient, and maintainable code while following best practices and coding standards. - Contribute to the deployment and integration of back-end services, ensuring that they work seamlessly with front-end and data science systems. - Help improve the architecture and functionality of our back-end systems, focusing on performance, reliability, and scalability. - Assist with debugging and troubleshooting technical issues, providing solutions to enhance system performance. - Collaborate with cross-functional teams to identify system needs and contribute to continuous improvements. - Continuously learn and apply new technologies and techniques to improve back-end infrastructure and processes. Requirements : - A degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - 1-2 years of experience in back-end development or related field, with a focus on server-side technologies. - Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. - Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. - Understanding of RESTful APIs, microservices architecture, and best practices for back-end development. - Familiarity with version control systems such as Git. - Experience working with cloud platforms (AWS, GCP, or Azure) and deploying applications in a cloud environment. - A passion for solving problems with technology and working to deliver efficient, scalable solutions. - A proactive, results-driven mindset with the ability to work independently and learn quickly. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, focusing on building and scaling back-end systems. - Understanding of security best practices for back-end development. - Knowledge of machine learning concepts and the ability to collaborate with data scientists to optimize AI models. - Strong communication skills and the ability to work effectively within cross-functional teams. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Take ownership of designing, developing, and shipping high-quality software solutions for our SaaS platform. Focus on delivering results that directly impact the business and customers, all whilst meeting launch deadlines. - Collaborate closely with product and engineering teams to quickly identify key customer needs and market opportunities, turning them into actionable, efficient solutions. - Break down complex technical problems and deliver simple, impactful solutions. Prioritize speed and execution while ensuring the software remains robust and scalable. - Lead by example-write clean, maintainable, and high-performance code, and always be the first to push for shipping quality features quickly. - Proactively mentor junior engineers, sharing knowledge and driving the team forward with a hands-on approach. Help them grow by guiding on real-world problem solving. - Move fast, ensuring that features are delivered rapidly while maintaining a focus on scalability, security, and system performance. - Continuously optimize and improve existing systems and software. Don't just wait for issues to arise-anticipate challenges and take action before they become roadblocks. - Drive technical decision-making with a focus on results. Make the tough calls quickly and without hesitation, cutting through unnecessary processes to get things done. - Effectively communicate technical decisions and outcomes, providing clarity and direction for both technical and non-technical stakeholders. Requirements: - A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. - 5+ years of experience building software in a fast-paced, results-driven environment-preferably with SaaS platforms. - Proficiency in full-stack development and experience with modern languages (e.g., Java, Typescript/JS, mySQL/Posgres, MongoDB), always ready to dive in and code when needed. - Strong background in cloud technologies (AWS) and microservices architectures. You know how to make things work, no matter the scale. - Experience with Agile development and CI/CD pipelines. You know how to ship code quickly, with a focus on continuous delivery. - Proven ability to work cross-functionally and push for action across product, design, and business teams. - A strong, data-driven mindset that allows you to make quick decisions and measure the success of your work effectively. - Clear, concise communicator with the ability to explain technical issues to anyone and get things done without unnecessary back-and-forth. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced, B2B SaaS environment where moving quickly and delivering value is key. - A get-things-done mentality-no time for bureaucracy, just results. - Familiarity with emerging technologies like AI and Machine Learning, and a passion for using them to shape the future of SaaS. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - You're entrepreneurial; you don't need direction; you're self driven. - Be able to easily switch between thinking creatively and analytically. - A natural leader who earns trust with a collaborative, yet persuasive style. - An interest in Artificial Intelligence and the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Jun 27, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will work closely with our Product team and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Take ownership of designing, developing, and shipping high-quality software solutions for our SaaS platform. Focus on delivering results that directly impact the business and customers, all whilst meeting launch deadlines. - Collaborate closely with product and engineering teams to quickly identify key customer needs and market opportunities, turning them into actionable, efficient solutions. - Break down complex technical problems and deliver simple, impactful solutions. Prioritize speed and execution while ensuring the software remains robust and scalable. - Lead by example-write clean, maintainable, and high-performance code, and always be the first to push for shipping quality features quickly. - Proactively mentor junior engineers, sharing knowledge and driving the team forward with a hands-on approach. Help them grow by guiding on real-world problem solving. - Move fast, ensuring that features are delivered rapidly while maintaining a focus on scalability, security, and system performance. - Continuously optimize and improve existing systems and software. Don't just wait for issues to arise-anticipate challenges and take action before they become roadblocks. - Drive technical decision-making with a focus on results. Make the tough calls quickly and without hesitation, cutting through unnecessary processes to get things done. - Effectively communicate technical decisions and outcomes, providing clarity and direction for both technical and non-technical stakeholders. Requirements: - A degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. - 5+ years of experience building software in a fast-paced, results-driven environment-preferably with SaaS platforms. - Proficiency in full-stack development and experience with modern languages (e.g., Java, Typescript/JS, mySQL/Posgres, MongoDB), always ready to dive in and code when needed. - Strong background in cloud technologies (AWS) and microservices architectures. You know how to make things work, no matter the scale. - Experience with Agile development and CI/CD pipelines. You know how to ship code quickly, with a focus on continuous delivery. - Proven ability to work cross-functionally and push for action across product, design, and business teams. - A strong, data-driven mindset that allows you to make quick decisions and measure the success of your work effectively. - Clear, concise communicator with the ability to explain technical issues to anyone and get things done without unnecessary back-and-forth. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced, B2B SaaS environment where moving quickly and delivering value is key. - A get-things-done mentality-no time for bureaucracy, just results. - Familiarity with emerging technologies like AI and Machine Learning, and a passion for using them to shape the future of SaaS. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - You're entrepreneurial; you don't need direction; you're self driven. - Be able to easily switch between thinking creatively and analytically. - A natural leader who earns trust with a collaborative, yet persuasive style. - An interest in Artificial Intelligence and the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly with the team. No jargon-just straightforward, actionable insights. - Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset-eager to take ownership of tasks and deliver value without waiting for direction. - Ability to work independently, learn fast, and iterate without being bogged down by unnecessary processes. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, with an emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - Be able to easily switch between thinking creatively and analytically. - An interest in the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Jun 23, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: You will report to our Head of Data Science and work closely with our Product managers, Software engineers and Data Scientists to define and execute on the future path for our products. Key Responsibilities: - Work closely with senior engineers and data scientists to quickly learn and apply machine learning techniques to real-world problems, shipping results fast, all whilst meeting launch deadlines. - Take ownership of end-to-end ML model development-from data preprocessing and feature engineering to training, testing, and deployment. - Collaborate across teams to implement machine learning solutions into production systems, ensuring that models are scalable, reliable, and effective. - Actively contribute to refining and improving existing models and systems. If something can be optimized, you're on it-constantly looking for ways to enhance performance. - Quickly analyze data and generate insights to drive product decisions. You'll focus on making things work fast and efficiently, without over-complicating the process. - Document your work and share findings clearly with the team. No jargon-just straightforward, actionable insights. - Continuously learn new techniques and stay up to date with the latest ML trends, applying them to improve the product as you go. Requirements: - A degree in Computer Science, Data Science, or a related field (or equivalent practical experience). - 2-3 years of experience in machine learning, with a strong understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud platforms (AWS) and Kubernetes for deploying and scaling models. - A passion for solving problems with data and machine learning, always looking for ways to get things done quickly and effectively. - A proactive, results-driven mindset-eager to take ownership of tasks and deliver value without waiting for direction. - Ability to work independently, learn fast, and iterate without being bogged down by unnecessary processes. - Fluent written and spoken English. Preferred Requirements: - Experience in a fast-paced SaaS or tech environment, with an emphasis on deploying ML models to production quickly. - Knowledge of deep learning models and frameworks, and interest in exploring cutting-edge ML techniques. - Experience working with large datasets and distributed computing environments. - Excellent organisational, analytical and influencing skills, with proven ability to take initiative and build strong, productive relationships. - Experience working with cross-functional teams within a software organisation. - Be able to easily switch between thinking creatively and analytically. - An interest in the future of the publishing industry. Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: We are looking for an enthusiastic, agile, diligent and highly organised Commercial Associate to support our team in pioneering technological disruption in the publishing industry. As a member of our dynamic team, you will provide invaluable assistance across all our commercial teams. If you are fascinated by technology and innovation, brilliant at multitasking, ready to tackle new challenges on a daily basis and enjoy working in a fast paced environment alongside bright and energetic individuals - we would love to meet you! Key Responsibilities: Helping our Sales and Business Development team build pipeline and convert deals. Helping our Customer Success team retain customers. Conducting investigations and experiments across our commercial function. Running ad hoc projects in different commercial teams. Requirements: Minimum 2.1 degree from a leading university Fluent written and spoken English Excellent time-management, organisational and multitasking skills Strong interpersonal and communication skills An ability and desire to learn new skills quickly Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
Jun 18, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: We are looking for an enthusiastic, agile, diligent and highly organised Commercial Associate to support our team in pioneering technological disruption in the publishing industry. As a member of our dynamic team, you will provide invaluable assistance across all our commercial teams. If you are fascinated by technology and innovation, brilliant at multitasking, ready to tackle new challenges on a daily basis and enjoy working in a fast paced environment alongside bright and energetic individuals - we would love to meet you! Key Responsibilities: Helping our Sales and Business Development team build pipeline and convert deals. Helping our Customer Success team retain customers. Conducting investigations and experiments across our commercial function. Running ad hoc projects in different commercial teams. Requirements: Minimum 2.1 degree from a leading university Fluent written and spoken English Excellent time-management, organisational and multitasking skills Strong interpersonal and communication skills An ability and desire to learn new skills quickly Benefits: Our employees enjoy free breakfast every day, coffee, drinks and snacks all day, everyday. Every Monday, Wednesday and Friday, we order food for our weekly team lunches where everyone gets together for an hour of fun. We have regular team events (dinner, bowling, karting, poker nights, board-games etc.) for our team to get to know each other outside of work. Professionally, we host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London. We ensure that all our employees also get pension contributions, the latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill.
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: We are looking for an enthusiastic, agile, diligent and highly organised Customer Support Specialist to cover client support. As a member of our dynamic team, you will gain invaluable experience working with our Customer Success, Sales, Product and Engineering teams. Key Responsibilities: Provide exceptional, empathetic, and timely support to clients through training sessions, consultations, Executive Business Reviews and ongoing assistance, ensuring that they are fully equipped to succeed with the platform. Monitor and improve customer engagement, ensuring high renewal rates by fostering strong, long-term relationships with clients and ensuring their success with Echobox. Identify opportunities for customers to optimise their use of Echobox products, helping them unlock more value and enhance their overall experience. Collaborate with the Product team to relay customer feedback, identify product gaps, and contribute to shaping the product roadmap to better serve customer needs. Leverage your SaaS experience to continually improve customer lifecycle management, focusing on retention, expansion, and customer satisfaction. Advocate for the customer's voice across the business, ensuring that customer insights are integrated into the company's strategic decisions. Identify and pursue opportunities to upsell additional services and features, contributing to revenue growth and deepening customer relationships. Requirements: 2 years of relevant job experience with a proven track record of excellence in your field Minimum 2.1 degree from a leading university Fluent written and spoken English and Spanish Excellent time-management, organisational and multitasking skills Preferred Requirements: Additional language skills Prior experience in the SaaS industry, ideally within a B2B environment. Proven expertise in managing customer relationships, driving product adoption, and ensuring high customer retention rates. Exceptional organisational and analytical skills, with a knack for taking initiative and building positive, productive relationships with customers and colleagues. A keen interest in artificial intelligence and its potential impact on the future of publishing and other industries. Benefits: We host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London.
Jun 17, 2025
Full time
About Echobox: We are a fast-growing, research-driven company building an artificial intelligence that helps online publishers overcome the challenges they face every day. Using novel AI, we are revolutionising the publishing industry and have a track record of building things that others have ruled out as impossible. Leading names from around the world rely on our product every day, including The Times, Le Monde, The Guardian, Vogue and many more. Our team is our best asset. We work with extremely smart and talented individuals, who all enjoy a high degree of responsibility and independence in structuring their work. Do you think you have what it takes to be part of Echobox? We'd love to hear from you. About the Role: We are looking for an enthusiastic, agile, diligent and highly organised Customer Support Specialist to cover client support. As a member of our dynamic team, you will gain invaluable experience working with our Customer Success, Sales, Product and Engineering teams. Key Responsibilities: Provide exceptional, empathetic, and timely support to clients through training sessions, consultations, Executive Business Reviews and ongoing assistance, ensuring that they are fully equipped to succeed with the platform. Monitor and improve customer engagement, ensuring high renewal rates by fostering strong, long-term relationships with clients and ensuring their success with Echobox. Identify opportunities for customers to optimise their use of Echobox products, helping them unlock more value and enhance their overall experience. Collaborate with the Product team to relay customer feedback, identify product gaps, and contribute to shaping the product roadmap to better serve customer needs. Leverage your SaaS experience to continually improve customer lifecycle management, focusing on retention, expansion, and customer satisfaction. Advocate for the customer's voice across the business, ensuring that customer insights are integrated into the company's strategic decisions. Identify and pursue opportunities to upsell additional services and features, contributing to revenue growth and deepening customer relationships. Requirements: 2 years of relevant job experience with a proven track record of excellence in your field Minimum 2.1 degree from a leading university Fluent written and spoken English and Spanish Excellent time-management, organisational and multitasking skills Preferred Requirements: Additional language skills Prior experience in the SaaS industry, ideally within a B2B environment. Proven expertise in managing customer relationships, driving product adoption, and ensuring high customer retention rates. Exceptional organisational and analytical skills, with a knack for taking initiative and building positive, productive relationships with customers and colleagues. A keen interest in artificial intelligence and its potential impact on the future of publishing and other industries. Benefits: We host in-house conferences and an annual summer camp for all our global employees who are flown to and hosted in London.
