Support Engineer (APAC)
SupabaseFull Time
Junior (1 to 2 years)
Key technologies and capabilities for this role
Common questions about this position
The role is based in the Sydney office with a hybrid schedule of 3 days in office and 2 days remote, during business hours to support global operations.
This information is not specified in the job description.
Candidates need 2+ years of proven experience in client/customer support, ideally for technical SaaS or B2B tech companies serving large clients, along with exceptional empathy, strong problem-solving skills, and the ability to handle multiple priorities.
Harvey offers an exciting opportunity to join the founding Sydney team to help establish local office culture, within a world-class team from top companies like DeepMind and Google Brain, focused on scaling quickly with prestigious partnerships.
A strong candidate has 2+ years in client support for technical SaaS or B2B tech, loves problem-solving, juggles multiple priorities, shows exceptional empathy, and is passionate about delivering seamless support to prestigious clients.
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.