Top Tech Jobs & Startup Jobs

Review and analyze legislation, case law, court rules and other legal materials to produce high-quality digital primary law content. Manage editorial workflows, troubleshoot processing issues, maintain quality standards, coordinate with vendors and stakeholders, and use editorial systems and LN platforms to optimize content delivery.

Own feature(s) end-to-end for patent search and analytics products: gather customer use cases, define AI-enabled capabilities, prioritize and resolve production issues, lead cross-functional delivery, mentor team members, track metrics, and drive go-to-market and roadmap alignment.

Lead design and validation of AI-driven legal product capabilities: develop NLP/LLM and generative AI solutions (RAG, prompts), design agentic workflows, build retrieval/hybrid search strategies with embeddings and vector DBs, analyze large legal datasets, establish model evaluation best practices, translate results into product recommendations, collaborate with product and engineering, and mentor junior team members.

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.

Manage and grow assigned IP customer accounts by building relationships with senior stakeholders, identifying and closing sales opportunities, representing the company at events, conducting strategy meetings, mentoring new team members, and meeting revenue targets through account expansion.

Design, develop, and evaluate NLP and LLM solutions using large datasets. Perform advanced data analysis, modeling, and visualization; prepare and preprocess data; build and deploy machine learning models; research generative AI techniques; collaborate with cross-functional teams; document experiments and models; and communicate findings to technical and non-technical stakeholders.

Enable high-performing cross-functional engineering teams by facilitating Agile practices, improving flow and predictability, coaching on continuous improvement, managing dependencies and risks, and providing delivery metrics and stakeholder visibility.

Lead engineering and architecture for AI-powered legal products, driving generative AI/LLM strategy, RAG pipelines, agentic workflows, and customer-centered prototyping. Manage teams, offshore partners, and delivery while mentoring engineers, establishing AI engineering standards, and ensuring responsible, production-grade deployments in cloud environments.

Lead small engineering teams to design, prototype, and deliver internal AI-enabled products. Partner with product, architecture, and security teams to ensure scalable, secure, and reusable AI-first solutions while managing performance, coaching engineers, and driving adoption and engineering standards.

Lead finance business partnering for Editorial Operations, driving budgeting, forecasting, long-range planning, performance reporting, and investment analysis across a $100M+ global cost base. Advise senior leaders on AI‑enabled transformation, scenario modelling, productivity and cost-efficiency initiatives, and link financial and operational metrics to support strategic decisions.