Top Tech Jobs & Startup Jobs in NYC, NY

Coordinates training, orientations, onboarding, meetings, events, and administrative operations for a legal Research and Insights department. The role develops training materials, promotes research resources, maintains intranet and document repositories, supports workflow improvements, and collaborates with attorneys, researchers, professional development staff, and administrative teams. It requires strong organization, communication, project management, digital technology, and confidentiality skills, with legal or professional services experience preferred.

Leads strategy, operations, transformation, technology, and talent management across a Legal Talent function. Responsibilities include strategic planning, process improvement, project and vendor management, budgeting, data reporting, executive communications, AI and technology transformation, recruiting, onboarding, training, job architecture, and change management. The role partners with senior leaders and cross-functional teams to improve efficiency, standardize processes, and drive continuous improvement in a complex professional services environment.

Manages staffing, utilization, workload allocation, performance management, professional development, recruiting, onboarding, and daily operations for litigation and corporate paralegal teams. Partners with attorneys, practice directors, human resources, and other stakeholders to balance workloads, improve workflows, coordinate reporting and budgets, and support team effectiveness. Leads process improvement and adoption of automation and AI tools while addressing performance, communication, training, and engagement needs.

Assists attorneys with private fund formation, fundraising, subscription documents, investor onboarding, fund closings, secondary transfers, side letters, AML/KYC reviews, and ongoing fund compliance. Drafts and reviews fund-related agreements, tracks investor documentation, coordinates with clients and investors, and compiles key fund records. Requires a J.D. from an ABA-accredited law school and admission to the local bar.

Designs, builds, deploys, and operationalizes enterprise generative AI solutions, including LLM applications, RAG architectures, autonomous agents, MCP servers, and AI integrations. Partners with stakeholders, engineering, infrastructure, security, and data teams to deliver secure, governed, scalable AI systems. Develops AI tools and workflows, optimizes data processes, provides architectural guidance, and supports high-impact business use cases.

Supports the Legal Talent Department through attorney review processes, onboarding, leave administration, relocations, immigration processing, flexible work arrangements, and personnel reporting. Coordinates with attorneys, partners, immigration counsel, Benefits, and Workday support teams while maintaining confidential records, tracking charts, and department databases. The role also assists with orientations, reporting improvements, inter-office communications, and related administrative activities.

Leads the architecture, development, and optimization of production-grade machine learning infrastructure on Azure. Designs scalable training and inference environments, implements MLOps practices, automates ML workflows, and establishes reusable deployment frameworks. Partners with data science, DevOps, and platform engineering teams to productionize models, strengthen security and observability, and ensure reliable, compliant systems. Mentors junior engineers and drives ML infrastructure strategy across multiple use cases.

Designs, builds, and operates full-stack software, infrastructure, and AI-powered legal technology systems. Responsibilities include developing applications and integrations, managing cloud infrastructure and CI/CD, implementing observability and reliability practices, contributing to AI/LLM solutions, establishing frontend design systems, and collaborating with attorneys, data scientists, IT, and other stakeholders.

Develops statistical, machine learning, deep learning, and NLP solutions for legal and administrative teams. Responsibilities include building regression and classification models, fine-tuning language models, creating RAG pipelines, designing AI workflows, analyzing structured and unstructured data, producing visual reports, and deploying reproducible production systems. The role collaborates with lawyers, business departments, and technical teams to advance the firm’s AI capabilities and deliver actionable insights.

Conduct qualitative and quantitative UX research for attorneys and clients across digital products. Lead recruitment, study design, data collection, analysis, and reporting; create personas, journey maps, service blueprints, and user flows; maintain research repositories; translate insights into business requirements; collaborate on AI product adoption and analyze usage data.