Intercom

The AI Infrastructure Engineer will build and scale the systems for training and serving Intercom's AI products, focusing on model training pipelines and inference services. This role involves GPU-level performance optimization and collaboration with ML scientists to bring cutting-edge methods to production.

Principal Engineer role focused on building and scaling Intercom's AI agent, Fin, for customer service. The role involves strategic technical leadership, spinning up new work streams, executing on ambiguous problems, leading experimental AI work, and shaping long-term technical strategy in an AI-first environment. Requires deep engineering depth, product thinking, experience at scale, AI fluency, strong communication, and extreme autonomy.

Senior Engineering Manager to lead teams building and scaling Intercom's AI agent, Fin. The role requires strong people leadership, hands-on technical involvement, strategic thinking, and experience operating at scale with startup energy in an AI-first culture. The manager will own strategically significant work streams end-to-end, drive execution under aggressive timelines, develop senior engineers, and partner with leadership on pillar-level strategy.

Senior Engineering Manager to lead teams building and scaling Intercom's AI agent, Fin. The role requires strong people leadership combined with hands-on, product-minded execution in an AI-first engineering culture. Responsibilities include owning strategic work streams end-to-end, driving execution under aggressive timelines, developing senior engineers, and partnering on pillar-level strategy. The ideal candidate is technically credible, operates at scale with startup energy, and has AI fluency.

Senior Engineering Manager to lead teams building and scaling Intercom's AI agent, Fin. The role requires strong people leadership combined with hands-on, product-minded execution in an AI-first engineering culture. Responsibilities include owning strategic work streams end-to-end, driving execution under aggressive timelines, developing senior engineers, and partnering on pillar-level strategy. The ideal candidate is technically credible, operates at scale with startup energy, and has AI fluency.

Intercom is seeking Senior+ AI Infrastructure Engineers to build and scale the systems for training and serving their AI products, focusing on model training pipelines and inference services, with an emphasis on GPU performance and reliability at scale.

This role focuses on building and scaling the AI infrastructure for training and serving large transformer and LLM models, including GPU-level performance optimization for both training and inference pipelines. The engineer will collaborate with ML scientists to bring cutting-edge methods to production and ensure high reliability and low latency for customer-facing AI experiences.

Engineering Manager for AI Models Infrastructure team, responsible for building and operating the foundational infrastructure for training and running AI models at scale. Requires prior experience in AI and leading infra/platform teams.

Engineering Manager for AI Models Infrastructure team, responsible for building and operating the foundational infrastructure for training and running AI models at scale. Requires prior experience in AI and leading infra/platform teams.

Engineering Manager for AI Models Infrastructure team, responsible for building and operating the foundational infrastructure for training and running AI models at scale. This is a technical leadership role requiring prior experience in AI and infrastructure/platform teams.

This role focuses on designing, evaluating, and shipping AI-powered internal tools for Go-To-Market (GTM) use cases, leveraging LLMs and agentic workflows. The position involves end-to-end ownership from problem definition to production deployment, with a strong emphasis on measurable business impact and user adoption. The ideal candidate has a proven track record in applied data science, experience with LLM applications like RAG and vector search, and strong Python and SQL skills.

This role focuses on designing, evaluating, and shipping AI-powered internal tools for Go-To-Market (GTM) use cases, such as account research, next-best-action recommendations, and renewal risk detection. The position involves end-to-end ownership, from problem definition and data modeling to building production-ready Python backends and React frontends, with a strong emphasis on rapid prototyping, user collaboration, and measuring business impact.

Intercom is seeking a Senior Machine Learning Scientist to define new ML features, research algorithms, and prototype ML solutions for their AI customer service agent, Fin. The role involves identifying ML opportunities, framing product problems, conducting data analysis and research, and working with engineers to bring ML prototypes to production, ultimately shipping AI-powered customer experiences.

Senior Engineer role focused on building AI-driven automation agents and AI-assisted workflows to improve developer experience and productivity within an enterprise SaaS company. The role involves integrating AI into developer environments, improving codebases for AI, instrumenting and measuring AI system performance, and ensuring system safety and reliability. The goal is to make AI a trustworthy, everyday accelerant for the R&D organization.

Staff Machine Learning Scientist at Intercom, a company focused on AI customer service. The role involves defining new ML features, researching algorithms, and shipping prototypes to production, working closely with product and design teams. The focus is on applying ML to create customer value and productize models, with a strong emphasis on measuring real customer impact.

Engineering Manager for AI Models Infrastructure team, responsible for building and operating the foundational infrastructure for training and running AI models at scale. This is a technical leadership role requiring prior experience in AI and infrastructure/platform teams.

This role focuses on deploying and optimizing AI agents (specifically 'Fin') for customer service, developing deployment playbooks, and ensuring customers achieve high automation rates and improved customer experience scores. It involves customer discovery, tailored planning, change management, and providing feedback to product teams.

Senior Manager, Forward Deployed Engineering to lead a team focused on scaling Intercom's AI-first platform for complex organizations. This role requires technical leadership, commercial fluency, and customer engagement to ensure successful AI deployments and translate field experience into product roadmap feedback. The focus is on delivering business value through AI solutions in enterprise customer settings.

This role focuses on designing, evaluating, and shipping AI-powered internal tools for Go-To-Market (GTM) use cases, such as account research, next-best-action recommendations, and renewal risk detection. The role involves end-to-end ownership, from problem definition and data modeling to building production-ready Python backends and React frontends, with a focus on rapid prototyping and iterating based on user feedback and measurable business impact.

This role focuses on deploying and driving adoption of Intercom's AI agent, Fin, for strategic customers. It involves understanding customer needs, coding solutions, collaborating with internal teams (Sales, Success, Product), and contributing to the evolution of the Forward Deployed Software Engineering function. The role emphasizes customer impact, technical excellence, and working at the frontier of applied AI.

Staff Product Engineer to join the AI Group to build Intercom's AI-powered products. The role involves working closely with ML Scientists and product teams to define new ML features, research algorithms, and rapidly prototype and ship AI products to customers. The focus is on bringing ML proof-of-concept code to production, ensuring robustness and scalability, and contributing to all phases of software development. While ML experience is not strictly required, a strong software engineering background and a willingness to learn ML are essential.

Intercom is seeking a Senior ML Science Manager to lead a team of ML scientists in developing and shipping AI-powered customer service products. The role involves managing, mentoring, and technically guiding the team, collaborating with cross-functional leaders, and contributing to the growth of the AI group. The ideal candidate has a strong background in applied ML, experience leading ML teams, and a track record of shipping user-facing ML products.

Senior Product Engineer, AI Platform at Intercom, a company focused on AI-powered customer service. The role involves building and scaling the AI infrastructure platform that supports Intercom's AI products, working closely with ML engineers and scientists to bring models to production. The focus is on creating robust, scalable systems and framework-level code that enables rapid adaptation to AI advancements while ensuring customer service quality.

Principal Engineer at Intercom, an AI customer service company, to lead strategic initiatives, build back-end and front-end systems, and mentor engineers. The role involves contributing to technical architecture, ensuring scalability and availability, and using AI-powered developer tools. Requires experience in SaaS product development, distributed systems, and technical leadership.

Staff Machine Learning Scientist at Intercom, a company focused on AI customer service. The role involves defining new ML features, researching algorithms, and rapidly prototyping and shipping ML products to customers. The team works closely with Product and Design, and has dedicated ML product engineers to facilitate fast production cycles. The role requires significant applied ML experience, leadership in bringing ML products to production, and strong communication skills.

Senior Machine Learning Scientist at Intercom, a customer service AI company. The role focuses on defining new ML features, researching algorithms, and shipping ML prototypes to production, working closely with product and design teams. The primary artifact is the AI product itself.

Senior Product Engineer for Intercom's AI Infrastructure team, focusing on building and scaling the platform that powers their AI products. This role involves working closely with ML engineers and scientists to bring AI features from prototype to production, ensuring robustness and scalability. The team aims to adapt quickly to AI advancements while maintaining service quality and safety for customers.

This role is for a Senior People Systems Analyst at Intercom, an AI Customer Service company. The analyst will manage and maintain the HRIS platform (Workday), ensuring data integrity, streamlining HR processes, and collaborating with stakeholders. Responsibilities include HRIS management, process improvement, system configuration, reporting, compliance, and supporting system upgrades. The role requires strong HR systems experience, particularly with Workday, analytical skills, and knowledge of data privacy regulations.

Technical Support Engineer role at Intercom, an AI Customer Service company. The role involves helping customers integrate Intercom's AI product (Fin) into their systems, diagnosing and reporting issues, and acting as a liaison between customers and product teams. It requires strong problem-solving, debugging, and communication skills, with an emphasis on ensuring customers get maximum value from the product. The role also involves building tools to improve team efficiency and influencing product direction through customer feedback.

Intercom is seeking a Technical Support Engineer to help customers integrate and use their AI-powered customer service platform. The role involves troubleshooting technical issues, acting as a liaison between customers and product teams, and contributing to product improvements. It requires strong technical fundamentals, web development basics, and API understanding, with a focus on customer experience.

Principal Engineer to architect and deliver a high-scale, AI-native platform for Go-To-Market operations, replacing legacy tools with AI agents and automated workflows. This role involves a blend of technical leadership and operational rigor, transitioning incubated projects into production-ready solutions.

Principal Engineer to architect and deliver a high-scale, AI-native platform for Go-To-Market operations, replacing legacy tools with AI agents and automated workflows. This role involves a blend of technical leadership and operational rigor, transitioning incubated projects into production-ready solutions.

Intercom is seeking an Analytics Engineer for their AI Group to build and manage data pipelines, support ML scientists and engineers, and contribute to data strategy and governance. The role focuses on developing a robust data platform to enable advanced analytics and insights for AI features.

The role is for a Senior Analytics Engineer within Intercom's AI Group. This group is responsible for defining ML features, researching algorithms, and prototyping AI solutions. The engineer will build and manage data pipelines, collaborate with ML scientists and engineers, lead data strategy initiatives, and conduct analysis to support business decisions and performance measurement of AI features. The company emphasizes a product-focussed approach and rapid iteration to production.

This role is for a Senior Analytics Engineer within Intercom's AI Group. The primary focus is on developing and managing data pipelines and an analytics-ready data platform to support ML scientists, analysts, and business teams. Responsibilities include data modeling, quality, warehouse management, and conducting data analysis to support strategic decisions. While the role is within an AI company and supports AI initiatives, the core craft is data engineering and analytics, not direct AI/ML model development.

Senior Finance Data Scientist role focused on building production-grade forecasting and predictive models for SaaS revenue, customer LTV, and expansion/churn propensity. This role involves data pipeline engineering, SQL, Python, and translating complex financial and behavioral data into actionable insights for leadership. While the company is AI-focused (AI Customer Service), this specific role is finance-data-science focused, using AI tools for productivity but not building core AI/ML models as the primary deliverable.

Senior Director of Engineering to lead and scale a new R&D hub in Berlin for Intercom, an AI Customer Service company. The role involves building and leading the R&D team, driving strategy and execution for AI-powered products, cultivating a high-performance culture, and operating as a cross-site leader within a globally distributed R&D organization. Requires deep technical knowledge, proven experience in leading large engineering organizations, and experience scaling new sites.

This role is for a Revenue Accounting Manager at an AI Customer Service company. The primary focus is on building and scaling the revenue accounting function, ensuring accurate and efficient operations, and driving process improvements. The role involves leading month-end close processes, standardizing reconciliations, performing variance analyses, ensuring ASC 606 compliance, and supporting systems implementations. A key aspect is leveraging AI-powered tools and automation to modernize workflows and reduce manual effort, although the role itself is not directly building AI models.

Engineering Manager for Forward Deployed Engineering (FDE) team in EMEA, focusing on scaling Intercom's AI-first platform for complex organizations. This is a hands-on, player-coach role involving technical execution, business value outcomes, and close collaboration with Sales, Solutions, and Product. The role requires leading a team, engaging in strategic deals, providing technical guidance, architecture, demos, and product evaluation support, and translating field experience into product roadmap feedback.

Engineering Manager for Forward Deployed Engineering (FDE) team in EMEA, focusing on scaling Intercom's AI-first platform for complex organizations. This is a hands-on, player-coach role involving technical execution, business value outcomes, and close collaboration with Sales, Solutions, and Product. The role requires leading a team, engaging in strategic deals, providing technical guidance, architecture, demos, and product evaluation support, and translating field experience into product roadmap feedback.

This role is for a Senior Data Scientist at Intercom, focusing on using data and insights to drive decision-making within the Research, Analytics & Data Science (RAD) team. The role involves partnering with product teams to identify and answer key questions using data, developing product success metrics, designing and updating data pipelines, and influencing product strategy through analysis. While the core function is data science and analytics, the role increasingly involves using AI-assisted tools, identifying automation opportunities, building scalable data products, and improving how AI is used within the team.

Staff Product Engineer for the Growth organization at Intercom, focusing on the self-serve customer journey. This role involves building back-end and front-end systems, contributing to technical architecture, and mentoring other engineers. The team runs experiments to improve the self-serve funnel, drive product adoption, and reduce churn, directly impacting self-serve ARR and expansion.

Intercom is seeking a Senior Engineer for their Infrastructure Platform team. This role focuses on building and operating high-scale distributed systems and platforms in a cloud environment (AWS) to ensure reliability, observability, secure deployment, and velocity for product teams. The engineer will automate infrastructure challenges, drive architectural evolution, own service reliability, and collaborate across teams to enable product engineers.

Senior Engineering Manager to lead the Developer Experience Platform team at Intercom, focusing on CI/CD, developer and AI workflows, build and test infrastructure, feature flagging, and observability for shipping pipelines. The role involves leading and growing a team, owning the developer experience, driving strategic initiatives, and integrating modern AI-assisted developer tooling to enable faster and safer shipping of Intercom's AI customer service products.

Senior Engineering Manager for Team Billing at Intercom, an AI Customer Service company. This role leads a team responsible for core systems related to customer purchases, usage metering, billing, revenue recognition, and financial flows. The manager will drive technical strategy, operational excellence, and collaborate with various departments like Product, Sales, and Finance. The role emphasizes strong technical leadership, team management, and an AI-first mindset for accelerating work.

Senior Engineering Manager to lead the Team Billing group, responsible for core systems related to customer purchases, usage metering, billing, revenue recognition, and financial operations. The role involves leading and scaling a team, owning system reliability, partnering on technical strategy, collaborating with cross-functional teams (Product, Design, Sales, Finance, etc.), driving migrations, and developing talent. The company emphasizes an AI-first mindset and the use of AI tools to accelerate various aspects of the engineering process.

This role is for a Senior Security Engineering Manager at Intercom, an AI Customer Service company. The manager will oversee the Application Security team, ensuring the security of Intercom's product and engineering processes. Responsibilities include owning the security of the SDLC, conducting security assessments, managing security incidents, and partnering with stakeholders to define security strategy. The role requires experience in managing engineers, performing security assessments, incident response, and working in a fast-paced environment.

This role is for a Senior Security Engineering Manager at Intercom, an AI Customer Service company. The manager will oversee the Application Security team, ensuring the security of Intercom's product and engineering processes. Responsibilities include owning the security of the SDLC, conducting security assessments, managing security incidents, and partnering with stakeholders to define security strategy. The role requires experience in managing engineers, performing security assessments, incident response, and working in a fast-paced environment.