Menlo Ventures
About Contentsquare Contentsquare is the all in one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog. Role Overview 1. This is a software engineering role. We are looking for applicants with minimum 5 years of software engineering experience, with a particular background in TypeScript. While we are building software on top of LLMs, this is not a machine learning role. 2. This role is remote (France, Spain, Italy, Poland, Germany) but can also be office based (hybrid) in Barcelona, Paris, Milan, Munich or Cairo. We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them. We are moving rapidly to leverage LLMs to reduce time to insight, make setup easier, and much more. As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses. This is an exciting opportunity to work in a "startup within the startup." We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers. As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning - what we build is foundational. We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe. What we're looking for Desire to work in a fast paced development environment where the customer is in the loop. We prefer to fail fast and start over than to learn too late that we've built the wrong thing. Strong motivation to build an AI feature. Extensive fullstack web application development experience (5+ years), preferably in a data related industry. Experience with TypeScript, with a variety of front end frameworks (React, Vue, Node ). Nice to have Strong opinions, weakly held about how to evaluate the performance of an LLM based application. Experience bringing an application built on top of LLMs from inception to market. Ability to iterate/prototype rapidly to answer data related using LLMs (and other ML when appropriate). Awareness of what LLMs are good at, what they're not good at, and how to navigate this. Familiarity with various LLM providers and their relative tradeoffs. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
About Contentsquare Contentsquare is the all in one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers' whole online journey. We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We're here to stay-and we're looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler-for our customers, their customers, and each other. Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. For more information, visit our careers blog. Role Overview 1. This is a software engineering role. We are looking for applicants with minimum 5 years of software engineering experience, with a particular background in TypeScript. While we are building software on top of LLMs, this is not a machine learning role. 2. This role is remote (France, Spain, Italy, Poland, Germany) but can also be office based (hybrid) in Barcelona, Paris, Milan, Munich or Cairo. We're looking for a Senior Fullstack Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them. We are moving rapidly to leverage LLMs to reduce time to insight, make setup easier, and much more. As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses. This is an exciting opportunity to work in a "startup within the startup." We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers. As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning - what we build is foundational. We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe. What we're looking for Desire to work in a fast paced development environment where the customer is in the loop. We prefer to fail fast and start over than to learn too late that we've built the wrong thing. Strong motivation to build an AI feature. Extensive fullstack web application development experience (5+ years), preferably in a data related industry. Experience with TypeScript, with a variety of front end frameworks (React, Vue, Node ). Nice to have Strong opinions, weakly held about how to evaluate the performance of an LLM based application. Experience bringing an application built on top of LLMs from inception to market. Ability to iterate/prototype rapidly to answer data related using LLMs (and other ML when appropriate). Awareness of what LLMs are good at, what they're not good at, and how to navigate this. Familiarity with various LLM providers and their relative tradeoffs. Why you should join Contentsquare We invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we're aligned with the employees' needs. Here are a few we want to highlight: Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year Work flexibility: hybrid and remote work policies Generous paid time off policy (every location is different) Lifestyle allowance A Culture Crew in every country we're based in to coordinate regular activities for employees to get to know each other and bond outside of work Every full time employee receives stock options, allowing them to share in the company's success We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts And more benefits tailored to each country Contentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal. Your personal data will be securely stored in our hosting provider's data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws. Contentsquare may use AI assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.
PowerToFly
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.
The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.