Top Tech Jobs & Startup Jobs

Regional APAC accounting role leading month‑end and year‑end close, FCCS and intercompany reconciliations, audits, tax and regulatory reporting, balance sheet reviews, cash management, financial analysis, and business partnering to support commercial decisions and process improvements.

Serve as a senior technical lead for data engineering consulting: work with customers, design complex data models, write and review efficient code, resolve complex bugs, mentor engineers, lead cross-functional development, and plan/execute automated and performance tests to deliver high-quality data solutions.

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 global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and workflows, deploy AI editorial tools, set standards, measure quality and performance, and build editorial AI capabilities across regions while partnering with product, engineering and editorial stakeholders.

Lead and manage client implementations of business applications (HRIS, ERP, manufacturing/supply chain). Analyze client needs, design requirements, translate into configurations/customizations, test, document, train users, resolve issues, mentor colleagues, and support pre-sales and product feedback.

Partner with law schools to grow active users by assessing needs, developing school-specific account and marketing plans, delivering presentations, providing deep product and practice-area expertise, supporting commercial teams to uncover leads, and engaging stakeholders across students, faculty, librarians, and leadership.

Posting contains company overview, equal opportunity and accommodation statements, and recruiter scam warning. No specific duties, responsibilities, or required qualifications are provided. Position noted as not eligible for benefits.

Manage and optimise editorial workflows and content delivery schedules, track and analyse operational metrics, support CMS and scheduling tools, coordinate with vendors and stakeholders, contribute to Lexis+ AI initiatives and content expansion, and drive process improvements to ensure timely, high-quality analytical content delivery.

Lead and mentor a data science team to design, build, and maintain predictive models and scalable data-driven products. Run experiments on large datasets to evaluate NLP and LLM performance, implement advanced analytics, collaborate across teams to solve business problems, and communicate insights to stakeholders while improving software engineering practices and model architectures.

Design, build, and evaluate ML and NLP/LLM solutions on large datasets: data preparation, modeling (including generative models), prompt engineering, model deployment, visualization, and cross-functional collaboration to drive business outcomes.