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

The Legal Engineer Associate delivers customized training and onboarding for attorneys and legal departments adopting Harvey. They design legal workflow education, create documentation and instructional content, support expansion and renewal efforts, gather customer feedback for Product and Engineering, and collaborate with Sales and Customer Success. The role requires legal practice experience, a J.D., practical experience building AI agents, prompts, or workflows for legal use cases, strong communication, and comfort with frequent customer interactions.

Support a VP in a fast-paced environment by managing complex calendars, multi-destination travel, meeting preparation, communications, presentations, and ad hoc projects. The Executive Assistant will exercise sound judgment, maintain confidentiality, coordinate with internal and external stakeholders, and help keep operations and team momentum on track.

The Head of Video develops and leads Harvey’s social and content video strategy. Responsibilities include creating concepts and recurring formats, writing scripts, directing shoots, guiding editors, overseeing production partners, and delivering channel-ready assets. The role collaborates with Content & Social, Product Marketing, creative producers, executives, customers, and subject-matter experts. It also mentors video talent, manages creative quality and stakeholder feedback, and uses audience insights to improve content performance.

Create and edit finished video for social and content channels, owning projects from footage review through final delivery. Shoot executive content, interviews, events, and product videos using professional camera, lighting, and audio setups. Develop editorial hooks, pacing, formats, captions, graphics, sound, color, and channel-specific versions. Collaborate with creative, content, product marketing, and production teams while managing feedback, media organization, equipment, timelines, and delivery standards.

Serve as primary advisor to largest customers, lead strategic implementation and adoption of Harvey's AI platform, monitor account health, enable end users, drive executive engagement, relay product feedback, and travel up to 25%.

Lead content design across Harvey’s product interfaces and AI responses. Define voice, tone, terminology, interaction patterns, and content principles; design key experiences from concept through execution; and build tools and guidance that help teams apply content standards. Partner with product designers, engineers, product managers, and AI researchers to establish a scalable content practice, clarify complex concepts for expert users, and articulate content decisions and tradeoffs.

Lead full-stack engineering projects across Harvey’s AI-powered legal products. Build scalable document ingestion, data collection, secure systems, AI-native features, agentic orchestration, retrieval systems, and integrations across web, desktop, mobile, Google Docs, MS Word, and APIs. Develop intuitive frontend experiences with React and TypeScript and robust backend services with Python and PostgreSQL, supporting streaming results, long-running processes, and complex tool-calling workflows.

Owns content strategy and execution for Harvey’s global events, including agenda curation, executive narratives, product keynotes, speaker recruitment and preparation, session design, and run-of-show planning. The role manages concurrent workstreams, builds scalable programming processes, partners with Product, Marketing, Creative, and Leadership, and uses post-event feedback to improve future events.

Own research and engineering efforts to improve open-weight language models for legal reasoning and agentic workflows. Design and run SFT and reinforcement learning experiments, develop reward functions and verifiers, build rigorous evaluations, debug large-scale distributed training, and translate research results into customer-facing model improvements.

Build synthetic data pipelines, evaluation systems, benchmarks, verifiers, and quality metrics for legal AI models and agentic workflows. Partner with researchers and legal experts to convert domain judgment and customer feedback into structured datasets, training signals, and measurable improvements. Investigate model failures, validate metrics, maintain data quality and provenance, and guide training and release decisions.