Top Tech Jobs & Startup Jobs in NYC, NY

Provides FP&A and commercial finance support for a full P&L, including budgeting, forecasting, performance analysis, business cases, pricing and deal evaluation, risk and opportunity assessment, and KPI monitoring. Partners with product, sales, marketing, operations, and senior finance stakeholders to translate financial results into actionable insights. Improves reporting and analysis through automation, generative AI, dashboards, scenario modeling, and enhanced financial processes.

Leads a SaaS sales organization comprising regional sales managers, account executives, account managers, and SDRs. Drives new business, renewals, expansion, forecasting, pipeline management, territory planning, pricing, compensation, and commercial strategy. Coaches sales leaders, manages performance across multiple teams, builds senior customer relationships, and partners with Product, Marketing, Sales Operations, Finance, Customer Success, and Enablement to achieve revenue targets and improve go-to-market execution.

Manage a portfolio of strategic enterprise clients adopting and scaling Nexis+ AI. Build executive relationships, lead onboarding, adoption, success planning, QBRs, expansion, renewals, and risk mitigation. Partner cross-functionally with Sales, Product, Support, and Engineering to advocate for clients and influence the AI roadmap. Drive change management, training, best-practice enablement, and value realization while tracking usage, adoption, NPS, churn, and account health.

Represent LexisNexis Legal & Professional as a student representative while enrolled in law school. The role likely involves promoting Lexis legal research solutions, engaging fellow law students, supporting product awareness, and providing feedback to the company. This position is not eligible for benefits.

Supports software sales through technical and functional demonstrations, RFP and security questionnaire responses, webinars, proof-of-concept tools, training, and solution architecture. The role requires deep knowledge of SaaS products, AI policies, hosting and security controls, and the ability to translate technical capabilities into customer value. It partners with Sales, Proposal Management, Product Management, Marketing, and Professional Services while contributing to sales enablement and product feedback. Business travel may reach 25–30% annually.

Report on legal technology and artificial intelligence adoption across law firms, courts, and regulators. Break news, develop scoops, identify trends, and produce analysis, features, and enterprise stories for a professional legal audience. Build a source network across legal technology, law firms, startups, investors, academics, and regulators. Translate complex technical concepts into clear journalism while managing daily news and longer-term reporting.

Leads the editorial data team, managing reporters, editors, and research specialists. Shapes data-driven story ideas and series, oversees reporting and editing quality, ensures accurate interpretation of statistics, coaches staff, and coordinates with graphics, survey, and research teams. The role owns editorial integrity from concept through publication and requires strong newsroom leadership, data journalism, editing, communication, and project coordination skills.

Build and lead LexisNexis’s global Protege product marketing function. Own positioning, value proposition, differentiation, technical narrative, web presence, messaging governance, competitive response, sales enablement, and executive communications. Partner across Product, Technology, Sales, Brand, Communications, Strategy, and local marketing teams to translate AI capabilities into credible commercial value, maintain global narrative consistency, and improve market perception, pipeline influence, adoption, and customer engagement.

Designs, prototypes, evaluates, and improves LLM-powered legal AI systems and agentic workflows. Responsibilities include prompt engineering, RAG, retrieval and ranking, model experimentation, evaluation benchmarks, error analysis, monitoring, and production-oriented coding. The role engages lawyers and enterprise stakeholders to define measurable problems, validate AI experiences, and establish quality standards for accuracy, grounding, hallucination detection, tool use, reliability, cost, and latency.

Lead design and validation of agentic AI capabilities for legal workflows using LLMs, NLP, RAG, hybrid search, embeddings and vector databases. Drive experimentation, evaluation, and metrics, translate results to product recommendations, collaborate with engineers and legal experts, and mentor team members.