Dublin, Ireland 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? Fin is the #1 AI agent for customer service. It resolves over 1M customer conversations every week, and we're just getting started. We're inventing paradigms that didn't exist six months ago and discovering entirely new problem spaces every time we push the technology further. This role sits within the Service Agent pillar: 12 teams and growing, building every capability that makes Fin work. You will own 1-2 of the most strategically significant work streams in the pillar. These aren't static teams with stable roadmaps. We re‑evaluate priorities at the pillar level constantly, spinning up and down work streams and dynamic teams to solve whatever matters most right now. The teams you lead six months in may look nothing like the ones you start with. You need to be okay with that. The competitive landscape is intense. Fast‑moving AI‑native startups are shipping aggressively and going after the same deals we are. We need someone who thrives under that pressure and can maintain high standards while moving at startup speed. What will you do? You'll own strategically significant work streams end‑to‑end. You're accountable for outcomes, not just delivery cadence or team health, but whether the work actually moved the needle. This is not a role for facilitators. You will be on the front line: deeply understanding the product, the problem, and the context. Sometimes that means writing code yourself. Sometimes it means doing the analysis, or driving cross‑functional collaboration, or force‑multiplying someone on your team who's stuck. There is a straight line between your work and the impact being delivered. You lead from the front. We regularly spin up new work streams around emerging priorities. You'll bring together engineers who’ve never worked as a team, set high expectations, build momentum under aggressive timelines, and drive execution. Then the shape of your teams may change again. That's the job. You’ll develop senior engineers into leaders. We don't need someone who mentors juniors on the basics. We need someone who accelerates staff and senior engineers, who gives direct, actionable feedback that changes outcomes, and who grows the leadership capacity of the people around them. You’ll partner with the Engineering Director on pillar‑level strategy. Where should we invest more? Where are we falling behind? What should we defund? You bring these opinions, backed by what you're seeing on the ground. And you'll do all of this in an AI‑first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You'll push the boundaries of what's possible with AI‑assisted development, both personally and through how you set up your teams. What are we looking for? The most important thing: you need to be an exceptional people leader AND personally action‑oriented. Not one or the other. We don't want managers who are great with people but distant from the product. And we don't want hands‑on operators who neglect the leadership craft. You build high‑performing teams AND get personally stuck in to drive outcomes when it matters. Beyond that: Product‑minded, not process‑minded. You understand what you're building and why. You have opinions about the product, not just how the team operates. You can challenge a product direction, spot a gap in the strategy, and make calls about what work matters most. Operated at real scale with startup energy. You've likely spent time at companies operating at significant scale. You've seen what large distributed systems look like in production and what it takes to ship reliably in that environment. But you also have urgency, resourcefulness, and a bias toward action over discussion. AI fluency. You're actively experimenting with AI‑assisted development, forming opinions about how it changes the way teams build software, and pushing your teams to adopt new ways of working. This is table stakes for this role. Technically credible. You don't need to be the deepest engineer in the room, but you can hold your own. You can review an architecture proposal and ask the right questions. You can spot when a team is over‑engineering or under‑investing. Engineers respect your technical judgment. Communication. You can explain to leadership why a team needs more investment, align multiple stakeholders around a complex project, have a difficult performance conversation, and unblock an engineer on a gnarly problem, all in the same day. Extreme autonomy. You partner with the Engineering Director on where the pillar needs to go next. You identify problems, form convictions, and act on them. If you're the kind of manager who waits for direction, this isn't the right role. Critical thinking about the business. You understand what Intercom is optimising for and translate that into team‑level decisions. Which work streams need investment? Where are we falling behind? What should we stop doing to go harder somewhere else? Why Intercom, why now? Fin is #1, and the race is heating up. We built the leading AI agent for customer service, and fast‑moving AI‑native startups are coming for this space. The engineering decisions made in the next 12 months will determine who wins. Intercom has been building for 15 years: deep product, massive customer base, strong revenue. But unlike most legacy SaaS companies, we made a successful pivot to AI. While most SaaS trends down, Intercom trends up. We recently raised $250M to go even farther even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI‑assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means for how teams work. Big enough to have real resources, customers, and revenue. Small enough that you have genuine agency. Bold enough to make decisions that most companies of this size wouldn't. You come to Intercom if you want the impact of a startup with the backing of a company that's been winning for 15 years. 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. #LI-Hybrid 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. #J-18808-Ljbffr
A leading AI customer service company in Dublin seeks an experienced engineering leader to drive key strategic projects. The role requires exceptional people leadership and a hands-on approach to lead high-performing teams in a fast-paced environment. Responsibilities include managing work streams, mentoring senior engineers, and partnering with upper management on strategic decisions. The role offers an opportunity to innovate in a rapidly evolving AI landscape with competitive benefits and a hybrid work model. #J-18808-Ljbffr
A cutting-edge technology company based in Dublin is seeking a Senior Machine Learning Scientist. You will be responsible for identifying opportunities where machine learning can add value and working with stakeholders to develop algorithms. Applicants should possess extensive applied machine learning knowledge and have 3-5 years of relevant experience. The position promotes a supportive team environment where innovation is encouraged. Benefits include competitive salary, health insurance, and flexible work policy. #J-18808-Ljbffr
Senior Machine Learning Scientist Join to apply for the Senior Machine Learning Scientist role at Intercom 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? Intercom’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 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) Intermediate programming skills 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 Bonus skills & attributes 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 Visualization, data skills, SQL, matplotlib, etc. 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 Regular compensation reviews - we reward great work! 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 Relocation support for those moving to our offices Policies 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. #J-18808-Ljbffr
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? Intercom’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 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 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 Relocation support for those moving to our offices 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. Interested in building your career at Intercom? Get future opportunities sent straight to your email. Apply for this job indicates a required field First Name * Last Name * Email * Phone * Location (City) * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you authorised to work in the country in which this role is located?(Intercom sponsors immigration for some roles so we encourage you to still apply if you require sponsorship.) * Select... Current Location * Select... NOTE for US locations : A "Metro" selection means that you live 75 miles (straight line radius) from the metropolitan geographic city center zip code. Are you willing to relocate? * Select... Have you previously worked for Intercom? * Select... Current or most recent company? * LinkedIn Profile Website /Publications (eg. Google Scholar)/ Github URL How did you hear about this job? Do you have 5+ years of experience working with Machine Learning? * Select... We work under a hybrid in-office model. Are you willing to work from our office location 3 days per week? * Select... Please email me about future job openings * Select... #J-18808-Ljbffr
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? At Intercom, you will be a Senior Software Engineer - someone who solves real customer problems through a smart and efficient application of your technical knowledge and your tools. You’ll be part of one of our multidisciplinary product teams, where you will build both back-end and front-end systems, and work closely with designers, product managers, researchers, and data analysts. We’re facing many exciting scaling challenges and we’re building a robust platform where your expertise can be applied to areas such as building a beautiful messenger composer, rule matching, deliverability, security, app availability and machine learning, to name a few. What will I be doing? As an experienced engineer you will: Develop technical plans and contribute to our technical architecture as we scale our products to serve tens of millions of people every day. Write Ruby code, which knits together a lot of AWS, infrastructure, platform and SaaS technologies that form the core of Intercom’s backend infrastructure Ship a change to production on your first day and a feature in your first week. That “day one” change is automatically deployed to production along with 100 other deployments (on average) each weekday Grow your team’s capacity by mentoring other engineers and interviewing candidates. This is a chance to be an integral part of building and growing a team. What skills do I need? 5+ years of industry experience in a software engineering role, preferably building a SaaS product. You can demonstrate significant impact that your work has had on the product and/or the team. Experience collaborating directly with product teams and designers, and a proven track record of delivering value to customers or users. Engineers at Intercom are pragmatists who work closely with others on cross-disciplinary teams Experience with Distributed systems 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 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. #LI-Hybrid 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 two 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. Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile How did you hear about this job? Are you willing to relocate? * Select... Current Location * Select... NOTE for US locations : A "Metro" selection means that you live 75 miles (straight line radius) from the metropolitan geographic city center zip code. Have you previously worked for Intercom? * Select... Current or most recent company? * We work under a hybrid in-office model. Are you willing to work from our office location 2 days per week? * Select... Are you authorised to work in the country in which this role is located?(Intercom sponsors immigration for some roles so we encourage you to still apply if you require sponsorship.) * Select... Website Please email me about future job openings * Select... #J-18808-Ljbffr
A leading AI customer service company is seeking a Machine Learning Specialist. This role focuses on identifying product problems suitable for ML solutions, partnering with engineers for prototype production, and conducting thorough research. The ideal candidate has 3-5 years of applied experience, strong communication skills, and a background in ML-related fields. The position provides a competitive salary and benefits within a hybrid working environment. #J-18808-Ljbffr
Intercom seeks a Business Development Representative in Dublin to enhance revenue for its Sales organization. The role involves generating leads, engaging with customers to highlight product value, and collaborating with the sales team. Candidates should have at least one year of customer-facing experience and a strong desire to grow in Sales, with business-level fluency in French required. Intercom offers competitive salary, equity, and hybrid work arrangements allowing flexibility with in-office presence required three days a week. #J-18808-Ljbffr
Intercom is an AI Customer Service company on a mission to help businesses provide incredible customer experiences. Business Development Representative As a Business Development Representative, you will drive revenue growth for the Intercom Sales organization by generating effective pipeline. You will engage prospects and customers, helping them understand the value of Intercom and laying the foundation for our sales team. Responsibilities Creating and prioritizing strategic target account lists with Account Executives Generating new business pipeline for Account Executives through cold calling, email, social, and other channels Providing a great experience for Intercom’s prospective customers Maintaining an up‑to‑date knowledge of our product and its value to customers Demonstrating an ability to attract new customers Working with other functions to improve business processes Engaging in team development and mentoring Qualifications Strong desire to build a career in Sales; future goal of becoming an Account Executive or closing‑based role 1+ year of customer‑facing work experience (Sales and/or SaaS experience is a plus) Operational Excellence: Use time effectively to complete revenue‑driving activities and identify priority focus areas Competitive Landscape & Industry Knowledge: Understanding of the SaaS landscape and target verticals, staying current with industry trends Prospecting Skills: Cold calling, email, social, and use of modern sales engagement tools across multiple channels (phone, email, LinkedIn) Communication: Articulate thoughts and ideas verbally, written, and non‑verbally; listen effectively and collaborate with peers Growth Mindset: Self‑aware, constantly seeking feedback, and striving for continuous improvement Results Oriented: Persistent approach to quota, progression, and team development; hunger to succeed and raise the bar Business-level fluency in French (written and verbal) is required Bonus Skills & Attributes Bachelor’s Degree preferred Familiarity with systems and tools such as SFDC, Outreach, Cognism, Zoominfo, LinkedIn Sales Navigator Benefits Competitive salary and equity in a fast-growing startup Service lunch every weekday, snacks, and a fully stocked kitchen Regular compensation reviews Pension scheme & match up to 4% Life assurance, comprehensive health and dental insurance for you and dependents Flexible paid time off policy Paid maternity leave and 6 weeks paternity leave Cycle‑to‑Work Scheme with secure bike storage MacBooks standard; Windows available when needed Policies Intercom has a hybrid working policy, requiring presence in the office at least three days per week. Equal Employment Opportunity 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. #J-18808-Ljbffr
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. #J-18808-Ljbffr
