Enterprise · AI customer service
Intercom currently has 36 active AI-related roles in our index. The most common open titles are: AI Infrastructure Engineer (3), Engineering Manager, AI Models Infrastructure (3), Forward Deployed Software Engineer (2), Principal Engineer (2), Principal Engineer - Go-To-Market (2). Most positions are in Engineering and Product.
Intercom's active AI hiring is concentrated in: application (58%), agents (25%), serving infrastructure (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Intercom is hiring AI talent in: United Kingdom (28 roles), Ireland (25 roles), Germany (7 roles), United States (2 roles).
Job postings at Intercom most frequently reference: agent orchestration, model serving, tool use, inference infra, evals.
In the past 30 days, Intercom has posted 4 new AI-related roles.
Currently tracking 27 active AI roles, down 19% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $142k–$280k (avg $198k).
Intercom currently has 47 active AI-related job listings. The majority of these roles are in the application stage, representing 57% of the total. Engineering is the dominant function for these hires. The company is primarily hiring in the United Kingdom and Ireland. Frequent tech tags include agent_orchestration, model_serving, and inference_infra. Over the last 30 days, Intercom has posted 3 new AI roles, an 84% decrease compared to the preceding 30-day period.
| Title | Stage | AI score |
|---|---|---|
| AI Infrastructure Engineer 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. | ServePost-train | 9 |
| AI Infrastructure Engineer 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. | ServePost-train | 8 |
| AI Infrastructure Engineer 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. | ServePost-train | 8 |
| Engineering Manager, AI Models Infrastructure 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. | Serve | 8 |
| Engineering Manager, AI Models Infrastructure 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. | Serve | 8 |
| Engineering Manager, AI Models Infrastructure 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. | Serve | 8 |
| Staff AI Product Manager 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. | ShipAgent | 8 |
| Staff AI Product Manager 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. | ShipAgent | 8 |
| Senior Data Scientist - AI Tooling 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. | Agent | 8 |
| Senior Machine Learning Scientist 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. | Ship | 8 |
| Senior Engineer, AI Developer 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. | Agent | 8 |
| Staff Machine Learning Scientist 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. | Ship | 8 |
| Forward Deployed Software Engineer This role is for a Forward Deployed Software Engineer at an AI Customer Agent company. The engineer will work directly with strategic customers to understand their needs, design and deliver AI solutions using the company's AI Agent (Fin), and provide feedback to R&D and Product teams. The role involves hands-on coding, technical expertise, cross-functional collaboration, and contributing to the evolution of the Forward Deployed Engineering function. It focuses on driving adoption and ensuring successful implementation of AI capabilities in customer support operations. | Ship | 7 |
| Principal Demo Engineer The Principal Demo Engineer will own and build the platform and tooling for Intercom's AI Customer Agent, Fin. This includes managing demo environments, seeded data, integrations, and reusable components to enable Solutions Engineers. The role also involves embedding with product teams to support new releases, create training materials, and collaborate across Product, GTM, Enablement, and Engineering to ensure effective product demonstrations. | Agent | 7 |
| Principal Demo Engineer The Principal Demo Engineer will own and build the platform and tooling for Intercom's AI Customer Agent (Fin) demos. This involves creating reliable, fast, and safe demo environments, seeded data, integrations, and reusable components for Solutions Engineers. The role also involves embedding with product teams to support new releases, create training materials, and collaborate across Product, GTM, and Engineering. | Agent | 7 |
| Senior Manager, Forward Deployed Engineering 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. | Ship | 7 |
| Forward Deployed Software Engineer 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. | Agent | 7 |
| Senior ML Science Manager 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. | Ship | 7 |
| Senior Machine Learning Scientist 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. | Ship | 7 |
| Staff Machine Learning Scientist 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. | Ship | 7 |
| Senior Machine Learning Scientist 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. | Ship | 7 |