Product Operations Engineer
CoderFull Time
Junior (1 to 2 years)
Candidates should have 2-3+ years of experience in Product Operations, Product Management, or a related field, ideally within a tech or SaaS environment. Strong organizational and project management skills are required, along with excellent communication and stakeholder management abilities. Familiarity with product management and collaboration tools such as JIRA, Confluence, Trello, or similar platforms is also necessary.
As a Product Operations Manager at Harvey, you will be responsible for developing and maintaining scalable processes that enhance cross-functional collaboration and ensure seamless product launches, building systems to aggregate and analyze customer feedback, overseeing launch calendars, facilitating roadmap planning, designing and managing alpha testing programs, and monitoring and optimizing operational workflows to ensure agility and scalability. You will also play a pivotal role in bridging Product, Marketing, and Go-to-Market (GTM) teams, driving alignment and maximizing impact.
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.