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Lead end-to-end deployments of Intercom and Fin for large customers, manage project scope and timelines, perform hands-on configuration and integrations, coordinate technical readiness and data migrations, track adoption and outcomes, and partner cross-functionally to deliver measurable AI-driven customer support results.

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.

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.