Top Tech Jobs & Startup Jobs

Senior consultative pre-sales role partnering with account teams to research, qualify, and progress complex enterprise legal-technology opportunities. Engage senior legal stakeholders, lead discovery and workflow analysis, design tailored demonstrations and proof-of-concepts, and share customer insights with product and GTM teams to drive new and expanded revenue.

Support LexisNexis' Irish legal market by creating and reviewing practical guidance content, monitoring Irish legal developments, maintaining trackers, supporting case and legislation work, and improving workflows and tools to increase efficiency.

Lead development and research of AI-driven IP analytics features: design agentic AI systems, build reusable evaluation frameworks, deliver production AI services, optimize performance and cost, help build AWS infrastructure with Terraform, mentor junior developers, write specifications, and participate in Agile development and code reviews.

Subject-matter expert in corporate financial reporting and SEC disclosure who creates enablement resources, leads customer engagement (demos, webinars), advises product strategy on regulatory trends, and collaborates cross-functionally to align Intelligize solutions with corporate reporting workflows and compliance needs.

The Technical Editor will research, write, and edit legal content while ensuring accuracy and adherence to house style, managing deadlines, and liaising with various teams to enhance legal publications.

Senior backend engineer responsible for designing and implementing Python-based services, databases, messaging, observability, and CI/CD. Collaborate across teams, conduct technical research and PoCs, improve systems, and mentor junior engineers.

Design, build, and maintain scalable ETL/data pipelines and infrastructure. Ensure data quality, ownership of data products, collaborate with analysts and data scientists, drive continuous improvement, and support delivery of AI-driven data solutions for business stakeholders.

Prospect and generate qualified sales opportunities through cold calling, email and social outreach; target decision-makers, identify customer needs, schedule demos with sales teams, build pipeline, and collaborate with account managers to drive revenue and meet management goals.

The Data Scientist will conduct experiments on large datasets, develop machine learning models, collaborate with teams, and innovate data solutions.

Lead a team of data scientists to develop predictive models, collaborating with cross-functional teams to solve business problems and improve operations using data-driven strategies.