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

Lead product planning and go-to-market strategy for the Law School market: translate customer insights and usage data into roadmap priorities, coordinate cross-functional launches, define requirements, drive adoption and tracking, and partner with Product, Marketing, Sales, and Operations to grow active users and downstream commercial outcomes.

Lead customer-facing, consultative upsell efforts for AI legal solutions at law firms: drive discovery, map workflows, design demos and POCs, influence stakeholders, and partner with sales/product to close and ensure adoption.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

Lead and manage client implementations of business applications (HRIS, ERP, manufacturing/supply chain). Analyze client needs, design requirements, translate into configurations/customizations, test, document, train users, resolve issues, mentor colleagues, and support pre-sales and product feedback.

Partner with in-house legal teams to design and implement tailored LexisNexis AI and workflow solutions, lead demos and training, drive adoption, identify expansion opportunities, gather client feedback for product and development teams, and support clients in the field (50% travel).

Build information-rich legal data visualizations using JavaScript, React, D3, and SVG. Use Python and Pyramid to retrieve and prepare data. Design for accessibility and usability, integrate new legal content with subject-matter experts, collaborate with frontend/back-end and NLP engineers, and participate in code reviews. Provide a portfolio of reviewable code samples.

Lead a team of Customer Success Consultants to drive trial enablement, onboarding, and adoption of drafting and DMS-integrated solutions for law firms. Build scalable programs, analyze usage data to identify expansion and risk, collaborate cross-functionally with Sales, Product, Marketing, and Data Science, engage executive stakeholders, and support renewals by improving customer health and demonstrating measurable value.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.