Enterprise Account Manager
SanityFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $180K - $230K.
This information is not specified in the job description.
Candidates need experience in Enterprise SaaS, legal (big law) or top tier management consulting firms, along with direct experience managing large-scale technology projects. Excellent communication and strategic planning skills are required, as well as the ability to influence stakeholders and be results-driven.
Harvey features a world-class team hiring top talent from companies like DeepMind, Google Brain, Stripe, and others, with a fast-scaling environment focused on exceptional product-market fit, strategic partnerships, and rapid growth including 4x ARR in 2024.
Strong candidates are experienced professionals from Enterprise SaaS, big law, or top-tier consulting with direct large-scale tech project management experience, excellent communication and strategic planning skills, stakeholder influence abilities, and a results-driven mindset.
Custom AI solutions for law firms
Harvey.ai builds custom Large Language Models (LLMs) specifically designed for top law firms to help them tackle complex legal challenges. These AI models are tailored to various legal practice areas and jurisdictions, allowing firms to enhance their efficiency and accuracy in legal work. Harvey.ai's technology includes an AI chatbot developed in collaboration with Allen & Overy, which demonstrates how their solutions can streamline operations and reduce manual workloads. The company operates on a business model that combines customization fees for developing these models with ongoing subscription fees for support and updates. Unlike many competitors, Harvey.ai focuses exclusively on the legal sector, ensuring that their products meet the unique needs of elite law firms. The goal of Harvey.ai is to transform the legal industry by providing advanced AI tools that improve decision-making and operational efficiency while maintaining high standards of data security.