Top Tech Jobs & Startup Jobs

Lead a team of data scientists and ML engineers building production-scale NLP, LLM, RAG, and agentic content systems. Set AI strategy, develop evaluation and monitoring practices, prototype and deploy models, and integrate AI into distributed platforms. Partner with engineering, product, legal, and design teams to deliver reliable, scalable solutions while balancing latency, cost, accuracy, and business impact. Mentor team members and establish responsible AI, experimentation, data preparation, and model-serving standards.

Designs, develops, deploys, and maintains AI-enabled automation for Finance and FP&A workflows. Responsibilities include coding reporting and forecasting automation, building finance data pipelines and API integrations, embedding AI for variance explanations and anomaly detection, validating data quality, debugging production solutions, and managing the full solution lifecycle from concept through ongoing maintenance.

Leads software, network, and systems architecture for a business unit. Plans system evolution, evaluates technologies and acquisitions, governs architecture, approves infrastructure changes, addresses security issues, and guides large development and infrastructure initiatives. Provides technical consultancy, mentors engineering teams, monitors system health, resolves complex problems, and communicates risks and solutions to executives and cross-functional stakeholders.

Drive product adoption, customer engagement, market awareness, and revenue growth through go-to-market initiatives. Coordinate Sales, Product, Marketing, and Customer Success teams; develop launch processes, dashboards, presentations, training, playbooks, and enablement materials; conduct competitive research; incorporate customer insights into messaging; and present strategies and results to senior leadership.

The Director, HR Business Partner serves as a strategic advisor to Legal Market leadership, aligning people strategy with business goals. Responsibilities include organizational design, change management, workforce planning, succession planning, talent reviews, leadership coaching, performance management, engagement, inclusion, and compensation partnership. The role provides workforce analytics, supports early-career programs, and collaborates with HR centers of excellence to strengthen organizational effectiveness, leadership capability, culture, and long-term growth.

Provides consultative education, training, legal research assistance, product demonstrations, and ongoing support to corporate legal customers using LexisNexis solutions. Builds customer relationships, identifies training and upsell opportunities, supports account planning, and partners with Sales, Marketing, and Product teams to retain and grow revenue within an assigned territory.

Leads the strategy, development, security, and lifecycle management of customer-facing e-commerce, content management, account, and self-service platforms. Owns digital commerce growth, AI enablement, architecture standards, budgets, testing, technical debt, vendor relationships, and operational performance. Directs multidisciplinary internal and external technology teams, develops leadership capability, governs platform security, and represents digital technology strategy to executive and board audiences.

Supports sales effectiveness through metrics tracking, reporting, analytics, sales planning, territory design, compensation initiatives, resource maintenance, and process improvement. Partners with Sales, Finance, IT, HR, and Operations to ensure data integrity, document workflows, improve systems, and deliver operational initiatives. Provides analytical insights and reporting to leadership while managing multiple priorities and maintaining critical sales resources.

Build and lead LexisNexis’s global Protege product marketing function. Own positioning, value proposition, differentiation, technical narrative, web presence, messaging governance, competitive response, sales enablement, and executive communications. Partner across Product, Technology, Sales, Brand, Communications, Strategy, and local marketing teams to translate AI capabilities into credible commercial value, maintain global narrative consistency, and improve market perception, pipeline influence, adoption, and customer engagement.

Designs, prototypes, evaluates, and improves LLM-powered legal AI systems and agentic workflows. Responsibilities include prompt engineering, RAG, retrieval and ranking, model experimentation, evaluation benchmarks, error analysis, monitoring, and production-oriented coding. The role engages lawyers and enterprise stakeholders to define measurable problems, validate AI experiences, and establish quality standards for accuracy, grounding, hallucination detection, tool use, reliability, cost, and latency.