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Lead and coach a high-performing Forward Deployed Engineering team to deliver customer-focused AI solutions, ensuring success in complex deployments and collaborating across teams.

The Senior Forward Deployed Engineer will enhance customer experiences with AI by consulting on technical solutions, driving product adoption, and collaborating with teams to achieve customer success.

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.

As a Senior IT Systems Engineer, you will enhance IT infrastructure, focusing on automation, identity management, and cloud solutions to improve customer support systems.

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.

Partner with high-value enterprise customers to drive AI-driven customer service transformation. Scope projects, map processes, design solutions with engineering, monitor adoption and metrics, lead success plans and executive reviews, quantify ROI, and drive renewals and expansion while advocating customer needs internally.

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.

As a Systems Engineer, you will evolve IT infrastructure, solve automation problems, drive adoption of AI tools, and enhance identity management.

The Staff Machine Learning Scientist will lead ML projects, mentor engineers, define new features, conduct research, and collaborate with product teams to deliver impactful ML products.