Jobs at Intercom

Lead complex AI customer-agent deployments from discovery through implementation. Own project scope, schedules, budgets, risks, stakeholder communication, platform configuration, integrations, data migrations, analytics, and security readiness. Partner with engineers, Sales, Customer Success, Product, and R&D to deliver measurable customer value. Improve deployment methodologies and use AI tooling to accelerate documentation, discovery, and delivery.

Provide technical customer support by owning complex issues from initial contact through resolution, troubleshooting APIs, webhooks, code, and customer technologies. Escalate difficult cases, collaborate with product teams on bugs and improvements, communicate proactively with customers, use AI tools to improve efficiency, and contribute to team coaching, processes, and product feedback.

Leads global Mid-Market and Enterprise Solutions Engineering teams, defining go-to-market strategy, hiring and coaching technical pre-sales talent, supporting complex sales cycles, and developing scalable solution architectures, playbooks, PoCs, and business value assessments. Partners with Sales, Product, Marketing, Engineering, and Services to influence product strategy, advise executive customers, translate AI capabilities into business outcomes, and drive revenue growth.

Sell Intercom to small-business customers by managing the full sales cycle from prospecting to close. Evangelize product value, forecast revenue, partner with SEs, R&D and Marketing, and drive adoption through consultative selling and outbound outreach.

Drive new business growth in the Mid-Market/Enterprise segment through full sales-cycle ownership: outbound prospecting, tailored demos, consultative value-based selling, forecasting, closing net-new deals, mentoring teammates, and advocating customer needs to Product and Marketing.

Generate enterprise pipeline via targeted outreach, cold calling, email and LinkedIn. Partner with AEs on account targeting, deliver tailored prospect experiences, maintain product knowledge, and collaborate cross-functionally to improve pipeline processes.

Provide hands-on technical support and onboarding for customers integrating Fin: diagnose and debug complex issues, own customer communications to resolution, collaborate with product teams, build/support tools to improve team efficiency and product reliability.