Top Tech Jobs & Startup Jobs

Drive adoption of LexisNexis Protege and workflow/AI solutions at major law firms by building senior relationships, delivering demos, analyzing attorney workflows, shaping firm-specific engagement, and collaborating with sales, marketing, and product to convert insights into outcomes and revenue.

Lead Public Records strategy and GTM in North America, managing a market-facing sales team. Drive product lifecycle, data-driven decisions, financial modeling, KPIs, go-to-market execution, positioning, and cross-functional stakeholder alignment to grow revenue and evaluate new product/market opportunities.

Lead a team of data scientists to design, develop, and deploy advanced AI/ML solutions (especially LLMs/Transformers). Analyze large datasets, set team strategy, mentor juniors, define best practices, collaborate with cross-functional stakeholders, and ensure models align with business needs and governance.

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 new enterprise client acquisition for AI-driven workflow and decision-support solutions. Own C-suite engagement, consultative discovery, and end-to-end commercial ownership of complex, high-value deals. Shape executive AI agendas, address trust/governance concerns, partner with product and AI teams, and establish repeatable new-logo sales motions and go-to-market strategies.

Design, build, and maintain secure, scalable AWS cloud platforms and reusable IaC modules. Lead Kubernetes and serverless deployments, observability, security guardrails, automation, and platform enablement. Mentor engineers, review architectures, troubleshoot production issues, and drive adoption of AI-assisted engineering and self-service developer portals.

Drive new business sales for federal government accounts through high-volume prospecting (50–100 outbound calls/day), demonstrate and certify product knowledge, develop relationships, meet monthly/quarterly/annual sales KPIs, and collaborate cross-functionally in a hybrid role (office Mondays).

Lead and grow a team of 4-5 ML engineers to design, build, and operate enterprise-grade, distributed AI/ML systems (LLM serving, retrieval, agentic frameworks). Provide architectural direction, establish ML lifecycle CI/CD and evaluation frameworks, implement safety/traceability guardrails, and ensure responsible AI and data governance compliance.

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.