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.

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.

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 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.

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 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.