Product Operations Lead
AddeparFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The salary range is $140K - $160K.
This information is not specified in the job description.
Candidates need 2-3+ years in Product Operations, Product Management, or a related field, preferably in tech or SaaS. Key skills include developing scalable processes, strong organizational and project management, excellent communication and stakeholder management, an analytical data-driven mindset, and familiarity with tools like JIRA, Confluence, or Trello.
Harvey has a fast-paced, innovative environment and is hiring world-class talent from top companies like DeepMind, Google Brain, and OpenAI. They emphasize exceptional product-market fit, strategic partnerships, and rapid scaling with 4x ARR growth in 2024.
A strong candidate is a self-starter with 2-3+ years in Product Operations or Product Management in tech/SaaS, proven process-building skills, strong project management, communication, analytical abilities, and familiarity with tools like JIRA.
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.