Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams to create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance.
20/07/2026
Full time
Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams to create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
20/07/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focused team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Work with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Be pragmatic, but innovate to the cutting edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3 5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding, etc.) Strong communication skills, both within engineering teams and across disciplines Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Relocation support for those moving to our offices Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
A leading AI Customer Service company in Greater London is seeking a Senior AI Infrastructure Engineer. This role involves building training pipelines for AI models, optimizing inference services, and working at the cutting edge of AI infrastructure. The candidate should have at least 5 years of software engineering experience and a degree in Computer Science. The position offers a competitive salary, equity, and a hybrid working policy with flexible time off.
14/07/2026
Full time
A leading AI Customer Service company in Greater London is seeking a Senior AI Infrastructure Engineer. This role involves building training pipelines for AI models, optimizing inference services, and working at the cutting edge of AI infrastructure. The candidate should have at least 5 years of software engineering experience and a degree in Computer Science. The position offers a competitive salary, equity, and a hybrid working policy with flexible time off.
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom's next generation of AI products. Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Intercom's AI platform. These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings. Benefits Competitive salary and equity in a fast-growing start up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Unlimited access to Claude Code and best class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
14/07/2026
Full time
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences. Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent. Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers. What's the opportunity? We're looking for Senior+ AI Infrastructure Engineers to build the systems that train and serve Intercom's next generation of AI products. Intercom is an AI company that builds from the GPU all the way up to a user agent that resolves millions of customer service queries a month. You'll join a small, highly technical team working at the cutting edge of modern AI infrastructure. The AI Infra team built the training pipelines and runs the inference for custom models like Fin Apex, which outperforms frontier models in customer service tasks, and is the foundation of the AI Group's full stack approach to AI. We're particularly interested in engineers who have: A track record of working on model training or model inference at scale, or on low level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model training and inference, you will: Implement and scale training pipelines for large transformer and LLM models, from data ingestion and preprocessing through distributed training and evaluation. Build and optimize inference services that deliver low latency, high reliability experiences for our customers, including autoscaling, routing, and fallbacks. Work on GPU level performance: tuning kernels, improving utilization, and identifying bottlenecks across our training and inference stack. Collaborate closely with ML scientists to implement cutting edge training and inference methods and bring them to production. Play an active role in hiring, mentoring, and developing other engineers on the team. Raise the bar for technical standards, reliability, and operational excellence across Intercom's AI platform. These are indicative, not hard requirements. We're looking to hire Senior+ AI Infrastructure Engineers. You're likely a great fit if: You have 5+ years of experience in software engineering, with a strong track record of shipping high quality products or platforms. You hold a degree in Computer Science, Computer Engineering, or a related field (or you have equivalent experience with very strong fundamentals). You have hands on experience with one or more of the following: Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low level GPU work, such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics to different audiences, and enjoy close collaboration with both engineers and non engineers. You take pride in strong technical fundamentals, love learning, and are willing to invest in your own development. Have deep knowledge of at least one programming language (for example Python, Ruby, Java, Go, etc.). Specific language experience is less important than your ability to write clean, reliable code and learn new stacks quickly. None of these are required, but they're nice to have: Experience at AI native companies that train and/or run inference for their own models (e.g. modern AI labs or AI native product companies). Experience running training or inference workloads on Kubernetes. Experience with AWS or other major cloud providers. Production experience with Python in ML or infrastructure contexts. Demonstrated passion for technology through personal projects, open source, meetups, or publishing content about your work and learnings. Benefits Competitive salary and equity in a fast-growing start up. We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen. Unlimited access to Claude Code and best class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4%. Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents. Flexible paid time off policy. Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones. If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too. MacBooks are our standard, but we also offer Windows for certain roles when needed. Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Overview Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. Opportunity Our company website is the centerpiece of our brand - the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support, requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We're looking for a Senior Full Stack Engineer to join Team Web, who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You'll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. What you'll do Design, build, and maintain end-to-end web solutions - from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and content teams to deliver seamless, performant experiences across web and mobile. Develop backend logic and APIs, manage data flows, and implement systems that integrate with third-party platforms. Optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. Set up and manage infrastructure using tools like Vercel, AWS, Cloudfront, Terraform, and CI/CD pipelines (e.g., CircleCI). Implement and maintain web analytics, and support A/B testing for data-driven decisions. Stay current with emerging technologies and trends to continually improve our development processes and user experience. Be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Qualifications Expert in front-end frameworks such as React, Next.js, Tailwind. Experience in CMS platforms (such as Contentful and Sanity) and marketing tools (e.g. Google Tag Manager, Marketo) Experience in CI/CD tools (such as CircleCI) to streamline and automate development workflows. Familiarity with infrastructure as code tools such as Terraform, and cloud platforms like AWS (Vercel, CloudFront, S3, etc.). Experience with A/B testing and familiarity with analytics tools to drive data-informed design and development decisions. Knowledge of performance optimization techniques and best practices for fast-loading, responsive websites. Experience in writing tests for front-end components, with familiarity in testing frameworks (e.g., Jest, Mocha, Cypress). Strong problem-solving skills and the ability to work independently and as part of a team. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
01/07/2026
Full time
Overview Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. Opportunity Our company website is the centerpiece of our brand - the public source of truth about Fin's products and the number one driver of leads for our demand generation team. Fin.ai sits at the intersection of awareness, product marketing, demand, and support, requiring robust, performant, and reliable infrastructure as much as polished user-facing interfaces. We're looking for a Senior Full Stack Engineer to join Team Web, who is passionate about crafting intuitive front-end experiences and building the backend systems and tools that power them. You'll play a key role in shaping the future of our website across the full stack, from UI to infrastructure, while collaborating with product marketers, designers, and engineers across the business. What you'll do Design, build, and maintain end-to-end web solutions - from modern UIs to backend services, APIs, and infrastructure. Collaborate with design, brand, marketing, and content teams to deliver seamless, performant experiences across web and mobile. Develop backend logic and APIs, manage data flows, and implement systems that integrate with third-party platforms. Optimize website performance by applying best practices in front-end development, including lazy loading, and efficient asset management. Set up and manage infrastructure using tools like Vercel, AWS, Cloudfront, Terraform, and CI/CD pipelines (e.g., CircleCI). Implement and maintain web analytics, and support A/B testing for data-driven decisions. Stay current with emerging technologies and trends to continually improve our development processes and user experience. Be comfortable writing backend software. We look for engineers to be able to unblock themselves end to end Build using the best tools in the industry. We invest heavily in AI-powered developer tools that remove friction and help you focus on solving meaningful problems. Qualifications Expert in front-end frameworks such as React, Next.js, Tailwind. Experience in CMS platforms (such as Contentful and Sanity) and marketing tools (e.g. Google Tag Manager, Marketo) Experience in CI/CD tools (such as CircleCI) to streamline and automate development workflows. Familiarity with infrastructure as code tools such as Terraform, and cloud platforms like AWS (Vercel, CloudFront, S3, etc.). Experience with A/B testing and familiarity with analytics tools to drive data-informed design and development decisions. Knowledge of performance optimization techniques and best practices for fast-loading, responsive websites. Experience in writing tests for front-end components, with familiarity in testing frameworks (e.g., Jest, Mocha, Cypress). Strong problem-solving skills and the ability to work independently and as part of a team. Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication
01/07/2026
Full time
What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years experience working with data to solve problems and drive evidence-based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication
Intercom is hiring a Senior Full Stack Engineer to join Team Web. This role focuses on crafting intuitive front-end experiences alongside building the backend systems. You will play a crucial part in shaping our website and collaborating with various teams to deliver seamless user experiences. In a hybrid working environment, the position offers benefits including a competitive salary, equity in the company, and comprehensive health insurance, among others. Working in the office at least three days a week is expected to maintain collaboration and culture.
01/07/2026
Full time
Intercom is hiring a Senior Full Stack Engineer to join Team Web. This role focuses on crafting intuitive front-end experiences alongside building the backend systems. You will play a crucial part in shaping our website and collaborating with various teams to deliver seamless user experiences. In a hybrid working environment, the position offers benefits including a competitive salary, equity in the company, and comprehensive health insurance, among others. Working in the office at least three days a week is expected to maintain collaboration and culture.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure as code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure as code practices and modern cloud-native technologies. Comfortable using modern AI assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large scale SaaS environments and high growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
28/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. The Cloud Security team is responsible for protecting the platforms that power Fin. We partner closely with infrastructure and product engineering teams to secure cloud environments, detect emerging threats, respond to incidents, and build the security foundations that enable teams to move quickly with confidence. The team owns critical cloud security capabilities including detection engineering, cloud security monitoring, incident response, cloud security controls, and the security tooling that protects Fin's production environments. The team is responsible for securing the cloud platforms and production systems that underpin every Fin customer interaction. The mission of the team is to help Fin build and operate trusted AI-powered customer service experiences by making security a natural part of how our cloud platforms, production systems, and engineering workflows are designed, deployed, and operated. As Fin continues to expand its capabilities and adoption, you'll help define how cloud security evolves alongside increasingly sophisticated systems and threat models. We're taking an AI-first approach to security, investing in areas such as AI-assisted detection engineering, automated investigations, continuous monitoring, and emerging defensive capabilities to help meet an evolving threat landscape. What will I be doing? Design and implement secure cloud architectures across our AWS environments. Build and maintain protective and detective controls that improve visibility into threats across our cloud environments. Develop detection engineering capabilities that identify attacker behaviour and reduce time to detection and response. Lead cloud security investigations and incident response activities in partnership with engineering teams. Participate in a shared on call rotation and help coordinate containment, remediation, and recovery efforts during security incidents. Build automation that improves the scalability, reliability, and effectiveness of security controls. Partner with infrastructure teams to embed security into cloud platforms, infrastructure as code workflows, and engineering practices. Develop and improve cloud security standards, guidance, and best practices across Fin. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Assess emerging threats to cloud environments and help evolve our defensive capabilities. Help shape Fin's AI-first approach to security, including AI-assisted detection, automated investigations, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven experience in cloud security, security engineering, detection engineering, or a closely related field. Strong experience securing and operating production AWS environments. Deep understanding of cloud security principles, modern attack techniques, and security best practices. Experience building or operating detection, monitoring, or threat detection capabilities. Hands on experience investigating security incidents, leading technical investigations, and driving remediation efforts. Experience implementing security controls across cloud platforms and production environments. Strong programming skills and experience building automation, tooling, or operational workflows. Experience working with infrastructure as code practices and modern cloud-native technologies. Comfortable using modern AI assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building detection engineering, threat hunting, or security operations capabilities at scale. Experience with cloud-native security platforms, CNAPP technologies, or large-scale cloud security monitoring. Experience applying AI to detection, response, threat analysis, or security operations workflows. Familiarity with AWS networking, identity, and cloud security patterns. Experience working across both large scale SaaS environments and high growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast-growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best in class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle to Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Intercom is looking for a Cloud Security Engineer to enhance their cloud security architecture across AWS environments. In this role, you will be designing secure cloud architectures and developing automated tools to improve visibility into threats. The ideal candidate should have experience in cloud security principles and incident response. You will collaborate with infrastructure teams to embed security into engineering practices while using AI-assisted methods to detect threats effectively. This role offers a hybrid working environment, with at least three days a week on-site, and comes with generous benefits, including competitive salary, equity options, and health insurance.
28/06/2026
Full time
Intercom is looking for a Cloud Security Engineer to enhance their cloud security architecture across AWS environments. In this role, you will be designing secure cloud architectures and developing automated tools to improve visibility into threats. The ideal candidate should have experience in cloud security principles and incident response. You will collaborate with infrastructure teams to embed security into engineering practices while using AI-assisted methods to detect threats effectively. This role offers a hybrid working environment, with at least three days a week on-site, and comes with generous benefits, including competitive salary, equity options, and health insurance.
Intercom is looking for a talented Solutions Engineer to join their Customer Solutions Team. In this role, you'll engage with customers, demonstrating the value of our AI solutions and working closely with Product and Engineering teams. The ideal candidate will have over 5 years of technical pre-sales experience and be comfortable communicating complex solutions to diverse audiences. The company offers competitive salary, equity, and a supportive working environment.
26/06/2026
Full time
Intercom is looking for a talented Solutions Engineer to join their Customer Solutions Team. In this role, you'll engage with customers, demonstrating the value of our AI solutions and working closely with Product and Engineering teams. The ideal candidate will have over 5 years of technical pre-sales experience and be comfortable communicating complex solutions to diverse audiences. The company offers competitive salary, equity, and a supportive working environment.
Intercom is seeking a Security Engineer to enhance tier-zero security capabilities for its AI Customer Agent, Fin. Responsibilities include designing security features, conducting architecture reviews, and participating in security incident response. The ideal candidate will have extensive experience in SaaS security and software engineering, with a focus on modern application security threats. Intercom supports a hybrid working model, ensuring connection while providing flexibility. Benefits include competitive salary, health insurance, and an engaging office environment.
26/06/2026
Full time
Intercom is seeking a Security Engineer to enhance tier-zero security capabilities for its AI Customer Agent, Fin. Responsibilities include designing security features, conducting architecture reviews, and participating in security incident response. The ideal candidate will have extensive experience in SaaS security and software engineering, with a focus on modern application security threats. Intercom supports a hybrid working model, ensuring connection while providing flexibility. Benefits include competitive salary, health insurance, and an engaging office environment.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated Relocation support for those moving to our offices We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
26/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers' hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated Relocation support for those moving to our offices We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
Intercom is seeking an experienced Machine Learning Engineer to join our ML team in Greater London. In this role, you'll identify opportunities for machine learning, develop prototypes, and work closely with product teams to bring innovative solutions to life. Applicants should possess a strong understanding of machine learning techniques, with a focus on practical application and collaboration across disciplines. We offer a competitive salary, equity in a fast-growing startup, and a variety of benefits to support your well-being. This role supports hybrid work, requiring a minimum presence in the office three days a week to foster collaboration and team cohesion.
26/06/2026
Full time
Intercom is seeking an experienced Machine Learning Engineer to join our ML team in Greater London. In this role, you'll identify opportunities for machine learning, develop prototypes, and work closely with product teams to bring innovative solutions to life. Applicants should possess a strong understanding of machine learning techniques, with a focus on practical application and collaboration across disciplines. We offer a competitive salary, equity in a fast-growing startup, and a variety of benefits to support your well-being. This role supports hybrid work, requiring a minimum presence in the office three days a week to foster collaboration and team cohesion.
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. What will I be doing? Own and engineer tier-zero security capabilities that help customers securely deploy and manage Fin. Design, build, and evolve customer-facing security features, including authentication, SAML/SSO, permissions systems, audit and activity logging, malicious URL scanning, and other enterprise security controls. Partner with engineering teams throughout the software development lifecycle to build secure products and services. Perform architecture reviews, threat modelling exercises, and security assessments for new features and systems. Build security tooling, automation, and developer-facing building blocks that make secure development easier and more scalable. Contribute to secure development standards, guidance, and best practices across Fin. Lead application security initiatives across the software development lifecycle, helping teams identify and address security risks early. Participate in a shared on-call rotation and lead security incident response, investigation, and remediation efforts. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Partner with teams building AI-powered products to assess and mitigate emerging security risks. Help shape Fin's AI-first approach to security, including AI-powered detection, red-team automation, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven application security, product security, or security engineering experience within a SaaS environment. Strong software engineering skills with experience designing, building, and operating production systems. Deep understanding of modern application security threats, secure software development practices, and threat modelling. Experience designing, building, or securing authentication, authorization, identity, or enterprise security capabilities. Experience conducting architecture reviews and security assessments for complex systems. Hands-on security incident response experience, including leading investigations and remediation efforts. Strong programming skills and experience building tools, automation, or developer-focused solutions. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building or owning authentication, SAML/SSO, identity, or access management capabilities. Experience securing AI-powered products or familiarity with security considerations for large language models, agentic systems, retrieval-based architectures, or AI tool integrations. Experience building security automation or security-focused platform capabilities at scale. Familiarity with cloud security, infrastructure security, or distributed systems. Experience working across both large-scale SaaS environments and high-growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that isn't on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Hybrid Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.
26/06/2026
Full time
Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin is transforming customer service through AI, helping businesses deliver fast, accurate, and reliable support at scale. Trust is foundational to that mission. What will I be doing? Own and engineer tier-zero security capabilities that help customers securely deploy and manage Fin. Design, build, and evolve customer-facing security features, including authentication, SAML/SSO, permissions systems, audit and activity logging, malicious URL scanning, and other enterprise security controls. Partner with engineering teams throughout the software development lifecycle to build secure products and services. Perform architecture reviews, threat modelling exercises, and security assessments for new features and systems. Build security tooling, automation, and developer-facing building blocks that make secure development easier and more scalable. Contribute to secure development standards, guidance, and best practices across Fin. Lead application security initiatives across the software development lifecycle, helping teams identify and address security risks early. Participate in a shared on-call rotation and lead security incident response, investigation, and remediation efforts. Drive security initiatives from problem definition through design, implementation, and measurable outcomes. Partner with teams building AI-powered products to assess and mitigate emerging security risks. Help shape Fin's AI-first approach to security, including AI-powered detection, red-team automation, continuous monitoring, and emerging defensive capabilities. Support the secure adoption of AI-assisted software development tools and engineering workflows. What skills do I need? Proven application security, product security, or security engineering experience within a SaaS environment. Strong software engineering skills with experience designing, building, and operating production systems. Deep understanding of modern application security threats, secure software development practices, and threat modelling. Experience designing, building, or securing authentication, authorization, identity, or enterprise security capabilities. Experience conducting architecture reviews and security assessments for complex systems. Hands-on security incident response experience, including leading investigations and remediation efforts. Strong programming skills and experience building tools, automation, or developer-focused solutions. Comfortable using modern AI-assisted development tools to improve productivity and engineering effectiveness. Ability to communicate security concepts clearly and collaborate effectively with engineering teams. A pragmatic approach to balancing security, customer impact, and engineering velocity. Experience building or owning authentication, SAML/SSO, identity, or access management capabilities. Experience securing AI-powered products or familiarity with security considerations for large language models, agentic systems, retrieval-based architectures, or AI tool integrations. Experience building security automation or security-focused platform capabilities at scale. Familiarity with cloud security, infrastructure security, or distributed systems. Experience working across both large-scale SaaS environments and high-growth companies. We are a well treated bunch, with awesome benefits! If there's something important to you that isn't on this list, talk to us! Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. Pension scheme & match up to 4% Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Flexible paid time off policy Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones If you're cycling, we've got you covered on the Cycle-to-Work Scheme. With secure bike storage too MacBooks are our standard, but we also offer Windows for certain roles when needed. Hybrid Working Policy Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.