Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead and evolve the website design system and end-to-end web design process, drive prototyping and user testing to improve UX and accessibility, mentor junior designers, and partner with engineers and marketing to deliver high-quality, high-performance web experiences.

The Staff Software Engineer will design and build AI platform systems, focusing on context management and model integration, driving infrastructure quality for legal applications.

Owner of Support Operations analytics: build and maintain dashboards and recurring reports, track cSAT/TTR/QA/escalations, instrument Zendesk, connect support to product/customer data, design feedback loops, measure AI-driven support impact, quantify cost of bugs/features, and support ad-hoc analysis for leadership.

Lead implementation and adoption of Harvey's AI/LLM platform for 40+ mid-market clients. Provide training, drive engagement and advocacy, monitor health and success metrics, create scalable playbooks and documentation, surface customer feedback to product teams, and ensure renewal and expansion readiness.

Lead design and execution of programs, processes, tooling, and documentation to scale the Legal Engineering organization. Partner with managers, Sales Ops, Product, and leadership to translate strategy into cross-functional programs, drive change management, and ensure consistent operations across US, EMEA, and APAC.

Design and build scalable dbt pipelines and semantic models to turn product event data into reliable analytics. Define tracking, governance, and metric standards; partner with Product, GTM, Finance, and execs to deliver self-serve dashboards and data products that drive decision-making.

Own go-to-market strategy for a core product area: define positioning and messaging, lead product and feature launches, create sales- and customer-facing assets, run customer and competitive research, enable sales and growth teams, and drive adoption and revenue through cross-functional execution and post-launch iteration.

Develop subject-matter expertise to support AI research, work with teams to define AI systems, and build proprietary benchmarks while communicating with clients to understand their workflows.

Build and maintain shared frontend infrastructure, design system, and developer tooling to improve developer velocity, performance, reliability, and scalability. Partner with product, design, and infra teams to define frontend architecture, drive adoption of platform systems, and reduce lifecycle friction across Harvey's user-facing applications.

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.