Key technologies and capabilities for this role
Common questions about this position
The salary range is $250K - $290K.
This role is based in San Francisco, CA, and uses an in-person work model with relocation assistance offered to new employees.
Candidates need 10+ years of experience in Site Reliability Engineering or similar roles, expertise in infrastructure as code tools like Pulumi, Terraform, and Cloud, plus skills in monitoring, alerting, incident management, automation, security, and cost optimization.
Harvey features a world-class team hiring top talent from companies like DeepMind, Google Brain, Stripe, and OpenAI, with a focus on scaling quickly, exceptional product-market fit, and working directly with partners like OpenAI.
A strong candidate has 10+ years in SRE with mentoring experience, expertise in IaC tools, and a passion for building robust systems, automation, incident management, and providing technical leadership.
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.