Hebbia
Hebbia Offices
Hebbia is headquartered in New York and has 3 office locations.
OnSite Workplace
Employees work from physical offices.
Typical time on-site:
5 days a week
U.S. Office Locations
Global Office Locations
New York
SoHo
London
47 Great Marlborough Street, London, United Kingdom, W1F 7JP
San Francisco
575 Market Street, San Francisco, CA, United States, 94105
Recently posted jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Lead Hebbia’s business operations as a team of one, overseeing board preparation, company planning, pricing and consumption economics, GTM analytics, and resource allocation. Build financial and customer-unit-economic analyses, guide pricing and deal decisions, coordinate planning and QBRs, and turn executive recommendations into operating changes. Partner closely with Finance, Product, Engineering, Sales, and Marketing while influencing strategic investments, margins, headcount, and commercial policies.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
Own Hebbia’s AWS infrastructure and developer platform end to end. Design multi-account architecture, networking, IAM, container orchestration, and infrastructure as code. Build CI/CD pipelines, preview environments, automation, observability, and cost controls. Strengthen security, compliance, secrets management, and audit readiness while preparing infrastructure for enterprise scale and multi-region deployments. Partner with product engineers to create reliable, secure, and efficient development and production systems.
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Financial Services • Generative AI
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.
