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Intercom seeks an exceptional Staff/Principal Product Designer to drive high-quality, AI-focused product design, mentoring peers and collaborating with engineers. Responsibilities include end-to-end design, prototyping, and maintaining high design standards.

The Senior Product Designer at Intercom will lead end-to-end design for key product areas, focusing on interaction design and visual excellence, collaborating closely with engineers and PMs, and mentoring fellow designers to elevate design culture.

Lead IT onboarding, education, and adoption programs across Fin. Design and run awareness campaigns, drive rollout adoption, shape IT communications, partner with stakeholders, measure engagement and iterate programs, and keep enablement aligned with evolving AI workplace tools.

Lead technical pre-sales for Fin's AI customer agent: run technical discovery, deliver solution demos and POCs, respond to RFPs/security questions, partner with Product and Engineering, and ensure customer success across the sales cycle.

Own the full mid-market sales cycle: prospect, demo, negotiate, and close new business for Fin's AI Customer Agent. Provide accurate forecasts, tailor demos, mentor teammates, and represent customer needs to Product and Marketing to drive adoption and growth.

As a Senior Product Engineer, you will develop backend and frontend systems, mentor engineers, and enhance product architecture at Intercom.

The Strategic Customer Success Manager engages with large customers to guide AI-driven transformation, drive adoption, and deliver measurable outcomes through relationship building and process optimization.

The Senior Product Engineer will develop technical plans, write Ruby code, mentor engineers, and collaborate with product teams to enhance customer service solutions.

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.