Top Tech Jobs & Startup Jobs in Los Angeles, CA

Lead design and deployment of custom legal workflows and vault templates for large law firms. Partner with firm stakeholders and sales/post-sales to define scope, run pilots, drive adoption, surface product gaps, and collaborate with product, engineering, and UX to deliver AI-enabled legal solutions and rollout resources.

Own and grow a portfolio of large law firm accounts through strategic, consultative selling. Drive renewals and expansion, build executive relationships, position legal research and AI-enabled solutions, coordinate cross-functionally, maintain pipeline discipline using sales tools, and provide client-driven product feedback to inform adoption and measurable value.

Lead design, experimentation, and validation of agentic AI capabilities for legal products using ML, NLP, LLMs, RAG, and hybrid retrieval. Define agentic workflows, retrieval strategies, evaluation metrics, and benchmarking. Analyze large legal datasets, translate results into product recommendations, collaborate with product/engineering/legal experts, and mentor the data science team.

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 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.

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 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.

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.

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).

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.