Top Tech Jobs & Startup Jobs

Analyze article and newsletter performance across platforms, translate data into concise insights for editorial strategy, run A/B headline tests, track audience behavior by product/region/channel/topic, and collaborate with editorial, product, and marketing to grow subscriber engagement.

Manage design, implementation, and governance of global sales compensation plans. Lead quota setting, incentive modelling, payments, performance analysis, documentation, training, and cross-functional stakeholder engagement to ensure fair, motivating, and compliant programs.

Drive new enterprise client acquisition for AI-driven workflow and decision-support solutions. Own C-suite engagement, consultative discovery, executive-level positioning, and deal conversion across complex, multi-stakeholder buying environments while partnering with AI, product, and solution teams to scale repeatable new-logo sales motions.

Drive revenue growth by prospecting within an assigned territory, building pipeline, managing territory business plans, guiding prospects through the sales cycle to close, and maintaining customer relationships for retention, upsell and cross-sell. Log activity in CRM, submit forecasts, and support onboarding and implementation with internal teams.

Lead design and development of Microservices FrontEnd and AWS-based features for LexisAdvance/LexisPlus. Build client- and server-side code, migrate on-prem projects to AWS, maintain CI/CD pipelines, perform testing and code reviews, write technical designs, triage production issues, and lead/mentor the feature team through Agile ceremonies.

Design, develop, and maintain complex software components; research and translate product requirements into designs; write and review specifications; fix complex bugs; follow coding best practices and perform code reviews; work in Agile and Waterfall environments; design complex data models; mentor and train junior engineers; and proactively address security risks throughout the development lifecycle.

Support Financial Crime Compliance business with financial analysis, modeling, forecasting, budgeting, and month-end close. Analyze large datasets (leveraging AI), produce insights and reconciliations, recommend process improvements, guide other analysts, and deliver ad hoc financial reporting.

Lead a small-to-medium data science team to design, develop, and deploy advanced AI/ML solutions (especially LLMs/Transformer models), mentor junior staff, define methodologies and governance, collaborate cross-functionally, and set team strategy and high standards for model development.

Design, build, and deploy predictive models for risk and fraud using R, Python, SAS, and SQL. Analyze large datasets, develop cloud-based analytic solutions, validate scoring code with stakeholders, and document statistical methodologies and best practices.

Translate commercial insight and product capability into clear, differentiated value propositions and messaging frameworks. Own the marketing production calendar, ensure consistent narrative and tone, develop sales enablement materials, brief creative teams, and partner with regional and product stakeholders to localise and activate global propositions to drive commercial outcomes.