Jobs at Intercom

Own and build the demo platform and tooling that powers all customer-facing demos: multi-tenant mock workspaces, seeded data, reset infrastructure, demo UI/features, templates, and automation. Collaborate with Product, PMM, Enablement and SE to prebuild demos for new releases, design training/certification, and codify repeatable demo patterns across web, mobile, voice, email, and integrations.

The Senior Data Scientist will collaborate with product teams, develop metrics, design data pipelines, and influence product strategy through data analysis at Intercom.

As a Senior Data Scientist at Intercom, you'll analyze data to drive decisions, support product teams, build data pipelines, and influence product strategy using AI tools.

Manage a portfolio of high-value enterprise customers to drive AI-driven customer service transformation. Act as trusted advisor, gather requirements, design solutions with engineers, lead success plans and executive reviews, monitor metrics and ROI, identify risks and expansion opportunities, and partner with sales to protect renewals and grow account value.

Lead pre-sales services scoping and solution design for enterprise customers, translating business and technical requirements into clear SOWs. Partner with Sales to position services, assess implementation complexity, design AI-powered deployments, and coordinate Product, Engineering, and Customer Success to ensure deliverable alignment and fast time-to-value.

Lead the architectural direction of Intercom's web platform, overseeing performance, scalability, and cross-functional collaboration to support marketing and engineering efforts.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

The Staff AI Product Designer will shape AI capabilities and behavior within user workflows, creating reliable and valuable AI experiences, while also focusing on quality and reliability of AI systems and their integration with human users.

Design, build, and maintain end-to-end web solutions, collaborating across teams. Optimize performance, manage backend systems, and stay updated on trends.

As a Senior Forward Deployed Engineer, you will work closely with customers to implement AI solutions, drive adoption, and enhance their support operations while collaborating with sales and product teams.

As a Staff Forward Deployed Engineer, you will lead customer engagement, help integrate AI solutions, and mentor engineers while collaborating cross-functionally to enhance customer service capabilities.

As a Staff Machine Learning Scientist, you will focus on hiring and mentoring staff, raising technical standards, and applying machine learning to improve customer experiences. You'll research algorithms, conduct data analysis, and collaborate with teams to produce ML products.

As a Senior AI Product Manager, you'll lead AI product vision and strategy, collaborate with technical teams, and drive customer-centric product development.

The Senior Account Manager will drive pipeline and revenue, manage customer renewals, execute strategic sales processes, and strengthen customer relationships in German-speaking regions.

As a Senior Account Manager at Intercom, you'll manage a pipeline, secure renewals, execute sales processes, and build lasting customer relationships, particularly in French-speaking regions.

The AI Infrastructure Engineer will build and optimize training pipelines and inference services for AI models, enhance GPU-level performance, and mentor team members.

The Senior Product Manager will lead product initiatives, manage roadmaps, understand customer problems, and collaborate with engineering and design teams to deliver impactful solutions.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, contribute to software development phases, and mentor other engineers.

The Engineering Manager will lead the AI Platform Team, overseeing infrastructure development, hands-on coding, and supporting ML teams while planning high-impact roadmaps and improving developer experience.

As Engineering Manager, you will lead a hands-on team building AI infrastructure, improving developer experience, and supporting ML teams while also contributing to production code.