Harvey

HQ
San Francisco
Total Offices: 2
373 Total Employees
Year Founded: 2022

Harvey Benefits Overview

Compensation + Benefits

Offers 401(K)

Offers company equity

Offers dental insurance

Offers health insurance

Offers Health Savings Account (HSA)

Offers Flexible Spending Account (FSA)

Offers vision insurance

Offers generous parental leave

Company Culture

Provides commuter benefits

Provides free snacks and drinks

Office is pet friendly

Offers a remote work program

Career Growth + Development

Provides customized development tracks

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Recently posted jobs

Artificial Intelligence • Legal Tech • Professional Services • Software
The Enterprise Account Executive will manage the full sales cycle for AI solutions serving law firms and professional-services enterprises. Responsibilities include prospecting, account management, product demonstrations, contracting, onboarding, revenue-target achievement, stakeholder engagement, and expanding customer usage. The role requires consultative, value-based selling of complex B2B SaaS solutions, cross-functional collaboration with product and engineering teams, and contributions to sales playbooks and processes.
Artificial Intelligence • Legal Tech • Professional Services • Software
Own research and implementation of post-training methods for legal language models, including supervised fine-tuning, reinforcement learning, reward design, verifiers, preference modeling, evaluations, and distributed training. Lead experiments from research direction through production deployment, while debugging training instability, reward hacking, and divergence. Build rigorous evaluation systems and production-quality Python code for long-horizon legal reasoning and agentic workflows.
5 Days AgoSaved
Remote
USA
Artificial Intelligence • Legal Tech • Professional Services • Software
Build and scale infrastructure for post-training open-weight language models, including distributed training, reinforcement learning rollouts, agent environments, evaluation systems, experiment tracking, and model serving. Own performance, reliability, GPU utilization, checkpointing, failure recovery, observability, and production integration. Partner closely with researchers to turn experimental workflows into dependable systems and accelerate development of legal AI capabilities.