Top Tech Jobs & Startup Jobs

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 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.

Lead experimentation and model development for NLP, LLM, and generative AI solutions in legal products. Design RAG, prompt strategies, agentic workflows, hybrid retrieval (semantic+lexical), and evaluation metrics. Analyze large-scale legal datasets, establish model validation and benchmarking best practices, translate results into product recommendations, collaborate with product/legal/engineering teams, and mentor data science team members.

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.

Provide education, training, and consultative support to corporate legal customers to drive product adoption, retention, and revenue. Partner with Sales to deliver demos, identify upsell opportunities, create strategic account plans, and serve as an internal resource for Product, Marketing, and Sales. Manage territory outreach and deliver virtual and in-person trainings.

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.

Drive adoption of LexisNexis Protege and workflow/AI solutions at major law firms by building senior relationships, delivering demos, analyzing attorney workflows, shaping firm-specific engagement, and collaborating with sales, marketing, and product to convert insights into outcomes and revenue.

Lead a team of data scientists to design, develop, and deploy advanced AI/ML solutions (especially LLMs/Transformers). Analyze large datasets, set team strategy, mentor juniors, define best practices, collaborate with cross-functional stakeholders, and ensure models align with business needs and governance.