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Recently posted jobs
Information Technology • Legal Tech • Analytics
Manage the full B2B sales cycle across enterprise corporate accounts and law firms. Responsibilities include prospecting, lead generation, pipeline management, consultative solution selling, complex deal management, cross-functional collaboration, and closing new business while meeting sales targets and KPIs.
Information Technology • Legal Tech • Analytics
Leads global Analytical Editorial Operations across a 150-person organization, setting strategy, operating models, budgets, quality standards, and performance measures. Drives GenAI-enabled content transformation, including Agentic Content Platform adoption and automated updating, while improving content currency, retrieval quality, customer outcomes, and operational efficiency. Partners with Product, Technology, Data Science, commercial, and editorial stakeholders; manages authors, vendors, workforce development, organizational change, and financial performance.
Information Technology • Legal Tech • Analytics
Use legal training to create and evaluate AI training data: perform legal research and analysis, provide annotation and feedback, support senior team members, communicate insights, participate in stakeholder presentations, and advocate for Responsible AI.
Information Technology • Legal Tech • Analytics
Develop and onboard strategic partners, build partnership pipelines, generate new business opportunities, and support partner-led revenue growth. The role involves stakeholder relationship management, partner enablement, forecasting, reporting, industry events, and collaboration across internal teams. Success is measured by new partner acquisition, pipeline creation, revenue generation, onboarding, engagement, and achievement of business objectives.
Information Technology • Legal Tech • Analytics
Leads the UK&I Data Engineering team, setting technical strategy and overseeing delivery of data products, ingestion pipelines, reporting solutions, and customer-facing capabilities. Drives Azure and Databricks cloud modernization, data governance, security, privacy, compliance, and AI adoption. Responsibilities include team leadership, talent development, workforce planning, cross-functional stakeholder management, and collaboration with global engineering, product, analytics, architecture, and operations teams.
