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Coordinate and support end-to-end recruiting operations: manage candidate experience, schedule interviews with Ashby and G Suite, post jobs, maintain ATS records, assist sourcing and onboarding, and support office operations and employer branding. Onsite in SoHo, NYC.

Lead strategic deployment of Hebbia's AI platform across global financial institutions by applying LLMs to complex legal and banking workflows, advising customers, driving value-backed land-and-expand growth, informing product and commercial strategy, and optimizing post-sales processes to scale adoption and ROI.

Own and grow Hebbia's Middle East enterprise sales: prospect, run demos, negotiate and close large deals with sovereign wealth funds, asset managers, banks and PE/VC; build regional pipeline, represent the company at events, partner on technical evaluations, inform product and GTM strategy, and hire a regional team.

The Client Partner drives customer adoption of the Hebbia platform, ensures value realization through strong relationship management, and leverages analytical insights to enhance user engagement and expand account relationships.

The Integrations Engineer will design and implement data pipelines, manage real-time integrations, debug system issues, and ensure operational reliability across enterprise data systems.

As a Backend Engineer, you will develop scalable systems, optimize performance, mentor junior engineers, and lead critical projects at Hebbia's Agent Collaboration platform.

The role involves working closely with strategic customers to develop personalized solutions using the Hebbia platform, including coding, integration, and workflow automation. Engineers will also enhance platform capabilities based on customer feedback.

The GTM Systems Lead will design and optimize AI-powered workflows and manage GTM tools to enhance revenue operations and efficiency.

As a Site Reliability Engineer, you'll design and improve critical production systems, lead incident response, and enhance observability while embedding with product teams to ensure reliability and performance at scale.

Own the end-to-end technical delivery of AI solutions for clients, from setup to integration and execution, ensuring quick realization of value.