Top Tech Jobs & Startup Jobs

Lead finance business partnering for Editorial Operations, driving planning, budgeting, forecasting, performance reporting, scenario modelling, and AI-enabled transformation to improve productivity and inform strategic investments across a $100M+ global cost base.

Lead analytic projects and model development: conduct code reviews, approve models, create frameworks and governance, manage small-to-medium teams, mentor staff, and maintain high standards for model delivery and customer engagement.

Design, develop, and maintain components of the LNIP intelligence core platform, including a semantic search API and internal data curation tool. Implement secure coding standards, unit testing, code reviews, and cloud deployments. Use agentic development tools responsibly and work with complex data models, vector embeddings, SQL and PySpark to support intelligent software systems.

Drive new business by prospecting and cold calling into assigned territory, demonstrate product value, achieve sales quotas and KPIs, collaborate with account managers, and master product certifications.

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.

Manage a South Africa-based editorial operations team delivering UK analytical legal, tax and exam content. Own end-to-end production scheduling, capacity planning, delivery metrics and quality controls. Drive process improvement, technology and generative AI adoption, cross-training, stakeholder collaboration and operational performance to meet commercial and deadline-driven objectives.

Hunter-focused Business Development Manager responsible for sourcing, engaging, and closing new corporate and legal clients through solution selling, demos, events, targeted campaigns, pipeline management, forecasting, and achieving revenue targets.

Build senior relationships with law firm leaders to position LexisNexis AI and workflow solutions; research prospects, lead demonstrations, tailor product solutions to legal workflows, collaborate with account teams and marketing, and drive deal progression pre- and post-sale.

Manage and grow a portfolio of B2B customer accounts through renewals, upsell/cross-sell, and proactive territory planning. Build senior stakeholder relationships, maintain accurate pipeline and CRM records, forecast revenue, and close commercial agreements while positioning LexisNexis solutions to meet customer needs.

Design, develop, and deploy production ML and generative AI solutions including RAG pipelines and LLM fine-tuning. Build scalable Python-based ML pipelines, implement model evaluation and monitoring, run experiments/A-B tests, collaborate with engineering and product, and contribute to AI system architecture.