Intercom

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.

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.

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.

Staff AI Product Manager at Intercom to shape the vision, strategy, and roadmap for core AI systems powering their AI agent (Fin) and other AI features. This role involves deep understanding of customers, business, and AI technology, collaborating with ML scientists and engineers to turn advanced AI capabilities into high-value product experiences, and taking AI concepts from exploration to production launches. The role requires strong AI/technical fluency, excellent product judgment, sharp problem framing, ability to build world-class products, and strong communication/leadership skills.

Intercom is seeking a Staff AI Product Manager to define the vision, strategy, and roadmap for their core AI systems that power their AI agent, Fin, and other AI features. The role involves working at the intersection of AI research, product development, and customer needs to build world-class AI products. The ideal candidate will have strong AI/technical fluency, excellent product judgment, sharp problem framing skills, and the ability to build and ship high-quality AI products.

Intercom is seeking a Staff AI Product Manager to define the vision, strategy, and roadmap for their core AI systems that power their AI agent, Fin, and other AI features. The role involves working at the intersection of AI research, product development, and customer needs to build world-class AI products. The ideal candidate will have strong AI/technical fluency, excellent product judgment, sharp problem framing skills, and the ability to build and ship high-quality AI products.

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.

This role focuses on driving the successful implementation and deployment of Intercom's AI Agent, Fin, for enterprise customers. The Senior AI Deployment Architect will optimize deployment playbooks, conduct customer discovery, develop tailored plans, and provide expertise to ensure customers achieve fully automated support experiences. The role involves analyzing customer data, guiding best practices, and collaborating with internal teams to address challenges and provide feedback to product development.

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.

Intercom is seeking a Senior Machine Learning Scientist to join their AI Customer Service team in Berlin. The role focuses on identifying ML opportunities, framing product problems, researching algorithms, and working with engineers to bring ML prototypes to production. The ideal candidate will have broad applied ML knowledge, experience shipping ML products, and strong communication skills.

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.