Top Tech Jobs & Startup Jobs

Field-based, target-driven B2B sales role responsible for new business acquisition across Legal, Corporate, Government and Academic sectors. Requires prospecting, cold-calling, stakeholder management, negotiation and closing skills, building client relationships, planning and managing activity, and strong presentation skills. Solution/software selling experience is a plus.

Lead and develop data science teams to deliver AI/ML, NLP, search, retrieval, and generative AI products for scientific discovery. Set strategy, ensure model quality and responsible AI, partner with product and engineering, mentor staff, and drive measurable impact from research to production.

Lead Public Records strategy and commercial execution for North America, managing a sales team and $14M revenue. Define product strategy, go-to-market, KPIs, and financial models; drive data-driven decisions, product delivery, and cross-functional alignment to capture market opportunities and ensure ROI.

Drive new business acquisition across legal, corporate, government, and academic sectors. Build pipeline through targeted outreach and cold calling, manage full sales cycle, maintain CRM (Salesforce), cultivate client relationships, deliver product demos, align cross-functional teams, and meet sales targets while providing client education and market insights.

Drive adoption of LexisNexis Protege and workflow/AI solutions at top law firms by building senior-level relationships, delivering demos, analyzing attorney workflows, shaping firm-specific materials, and partnering with sales to progress deals and capture CRM insights.

Lead an embedded AI squad from discovery to production: harden and deliver AI prototypes, design reusable agentic AI patterns and architectures, ensure security/data governance, integrate AI into enterprise systems, codify reference implementations, mentor engineers, and measure outcomes to scale solutions across the organization.

Lead analytic projects and teams, review and approve models, define frameworks, methodologies and governance, design LLM/RAG/agentic AI systems with knowledge-graph and embedding integration, ensure evaluation, cost-performance optimization, AI observability, and compliance-aware production deployment while mentoring staff and communicating with senior stakeholders.

Lead a team of 4-5 ML engineers to design, build, and operate scalable AI/ML systems and agentic architectures. Provide architecture and code guidance, establish ML engineering best practices, standardize LLM serving and retrieval infrastructure, implement safety guardrails and traceability, define evaluation frameworks for reasoning quality, and ensure CI/CD, data governance, and responsible AI compliance.

Lead global AI-first transformation for legislative content: define strategy, prioritize AI-enabled content generation and workflows, deploy editorial AI tools, set standards, measure quality and outcomes, and build cross-functional capability and adoption.

Lead a global Learning & Performance team to design and deliver a sales and customer success curriculum, embed Challenger methodology, build assessments and certifications, align learning with commercial strategy, use data to measure impact, and partner cross-functionally to drive sustained behaviour change and performance.