Currently tracking 34 active AI roles, up 31% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $145k–$360k (avg $257k).
AI Frontier · Legal AI
| Title | Stage | AI score |
|---|---|---|
| Group Product Manager, Knowledge Platform Group Product Manager to drive the strategy, development, and delivery of Harvey's Knowledge Platform, focusing on integrations with legal content and tools. This role owns scaling the ecosystem of third-party connectors and data partner integrations, bringing legal context into Harvey and strengthening user engagement. Requires strong technical fluency in enterprise SaaS, data pipelines, and AI concepts like vector search and RAG. | Agent | 5 |
| Senior Software Engineer, Backend This role is for a Senior Software Engineer, Backend at Harvey, a company transforming legal and professional services with agentic AI. The engineer will design and operate backend systems that integrate cutting-edge AI capabilities into product experiences, build secure multi-tenant services, orchestrate LLM and agentic tool interactions, and define backend architecture for AI products. The role involves shipping foundational systems with immediate business and customer impact. |
| Agent |
| 5 |
| Staff Product Manager, Knowledge Platform Staff Product Manager to drive the strategy, development, and delivery of Harvey's Knowledge Platform, focusing on integrations with legal content and tools to strengthen user engagement. This role involves owning a critical product area end-to-end, collaborating with engineering and business development, and expanding the connector ecosystem for enterprise customers. | Agent | 5 |
| Senior Software Engineer, Developer Experience (DevEx) This role focuses on building and scaling a developer platform, including CI/CD, test frameworks, and internal tools, to accelerate the velocity and efficiency of engineers at an AI-native company. A key aspect is integrating AI agents to enhance developer productivity and automate parts of the software development lifecycle. | Agent | 5 |
| Staff Software Engineer, Core Infrastructure Staff Software Engineer on the Core Infrastructure team responsible for designing, building, scaling, and strengthening infrastructure systems that power Harvey's AI platform. This includes managing multi-cloud infrastructure (Azure, GCP), Kubernetes, networking, container management, observability, incident response, and distributed systems optimization. The role also involves driving infrastructure-as-code practices and mentoring engineers. Representative projects include building a model proxy architecture, rate limiting systems, multi-region deployments, and observability infrastructure. | — | 5 |
| Legal Engineer, Bengaluru This role focuses on applying legal expertise to demonstrate and advise customers on how Harvey's AI solutions can enhance legal workflows. It involves building consultative relationships, leading tailored demos, and acting as a trusted advisor to law firms and in-house legal teams. The Legal Engineer will also serve as the Voice of the Customer, providing market insights back to Product and GTM teams, and strengthening Harvey's reputation in India. | — | 5 |
| Workplace Manager This role is for a Workplace Manager in Bengaluru, responsible for the day-to-day operations and employee experience at Harvey's India office. The manager will oversee facilities, act as a liaison with building management, manage vendors, coordinate office logistics, and support onboarding and local events. The role requires a passion for creating positive workplace experiences and collaborating with global teams. | — | 0 |
| Staff Software Engineer - Site Reliability Engineering (SRE) This role is for a Staff Software Engineer on the Site Reliability team at Harvey, focusing on ensuring the reliability, scalability, and performance of their legal AI platform. The engineer will be responsible for monitoring, alerting, infrastructure management, incident management, and automating operational tasks across global regions. The role emphasizes building robust systems, reducing complexity through automation, and optimizing infrastructure costs while maintaining system performance and reliability. It also involves technical mentorship and leadership. | — | 0 |