Top Tech Jobs & Startup Jobs

Design and deploy custom AI-enabled legal workflows and vault templates for large law firms. Lead client discovery, pilots, and adoption; represent customer needs to product and engineering; create client-facing resources and support sales/post-sales to drive sustained usage and product improvements.

Monitor European legislative and regulatory developments, assess their compliance impact, and produce clear alerts, summaries, updates, and guidance. Maintain accurate regulatory intelligence content, support customer-facing teams with subject matter expertise, review content quality, and improve editorial, monitoring, publishing, and AI-enabled workflows.

Coordinate data governance across datasets and data products by supporting ownership, stewardship, metadata, data quality, lineage, and enterprise standards. Monitor product completeness and maturity, identify governance and quality gaps, escalate noncompliance, and embed governance into delivery processes. Collaborate with business, engineering, and central data teams to improve adoption, transparency, discoverability, and trust in organisational data.

Owns law enforcement product features, product development plans, customer needs, prioritization, and project execution. Supports go-to-market strategy, product messaging, pricing and competitive positioning, prototypes, MVPs, demonstrations, and issue resolution. Collaborates with engineering, design, sales, customers, and leadership while applying Agile and Lean methodologies and understanding technical architecture. Requires U.S. citizenship and CJIS-related background certification.

Build and maintain secure, scalable, reliable software components and features using modern web and cloud technologies. Responsibilities include writing maintainable code, participating in code reviews, applying testing and Secure SDLC practices, supporting service monitoring and incident response, maintaining technical documentation and runbooks, reducing technical debt, and contributing to team collaboration, onboarding, and mentoring.

Own AI cost modeling, attribution, metrics, and reporting across models, products, teams, and infrastructure. Build Python data pipelines integrating telemetry, provider APIs, platform usage, and cloud billing. Automate reporting, close support, anomaly detection, and optimization tracking. Develop dashboards and explain cost drivers, forecasts, assumptions, and efficiency opportunities to engineering, product, and finance stakeholders.

Conduct outbound sales campaigns, engage prospective customers, book follow-up calls and product demonstrations, and build relationships with key decision-makers. Lead discovery conversations to understand customer needs and position LexisNexis legal research solutions. Maintain accurate activity using company systems while ensuring GDPR compliance, meeting sales targets, managing time effectively, and collaborating with the team.

Partners with external clients to analyze business requirements, configure and implement ERP solutions, translate needs into functional specifications, support testing and documentation, train end users, and resolve complex application issues. The consultant also recommends business-process improvements, guides stakeholders through implementation, and mentors junior staff while serving as a trusted expert advisor.

Manages sales and growth for scientific databases, solutions, and content licensing across a customer portfolio. Responsibilities include account planning, consultative needs analysis, solution sales, renewals, upselling, cross-selling, forecasting, competitive analysis, stakeholder relationship management, and coordination with solutions engineering, inside sales, and customer success teams. The role also participates in trade shows and conferences and provides market feedback to support product development and go-to-market strategies.

Manage B2B customer relationships to protect and grow revenue. Identify upselling and cross-selling opportunities, understand account needs, resolve issues, demonstrate product value, and maintain customer experience standards. Build relationships with decision-makers, meet revenue targets, complete reporting and planning, and coach team members. The role requires product and market knowledge, commercial awareness, strong communication, planning, customer service, and sales-support experience.