Top Tech Jobs & Startup Jobs in NYC, NY

Manages enterprise and strategic legal technology customers, driving adoption, value realization, retention, and expansion through customer success plans, executive business reviews, check-ins, enablement, and proactive risk management. Serves as a CoCounsel product expert, presents customer and business insights, supports cross-functional initiatives, and uses Gainsight, Salesforce, and Gong to manage account information, pipeline, and forecasts.

Build and deploy secure, scalable software and AI solutions for legal workflows. Partner with legal customers to translate needs into technical products, develop production-grade Python services, evaluate LLM outputs, optimize prompts, and apply cloud-native, DevOps, and infrastructure-as-code practices. Mentor engineers, manage technical debt, and collaborate across engineering, product, legal, and design teams.

Lead the vision, strategy, roadmap, governance, and commercialization of Thomson Reuters’ shared Agentic Platform for Tax and Trade products. Partner with product lines, engineering, AI, security, compliance, design, sales, and finance to deliver orchestration, memory, integrations, identity, evaluation, and human-in-the-loop capabilities. Build and mentor a product management team, align senior stakeholders, manage platform economics, establish quality standards, and drive adoption, reliability, and business impact across a global B2B SaaS portfolio.

Leads the technical strategy, architecture, and delivery of bespoke production AI solutions for legal customers. The role designs RAG pipelines, multi-agent systems, event-driven backends, and secure integrations; establishes MLOps, observability, evaluation, and AI quality standards; and owns complex, high-risk engagements. It also involves executive and client engagement, mentoring senior engineers, influencing product roadmaps, and driving AI-native engineering practices across teams.

The Director of Workflow Engineering will lead ServiceNow architecture, develop AI-driven workflows, oversee automation, and ensure compliance with ITSM policies to enhance operational efficiency.

Leads complex customer renewals, protects existing revenue, identifies upsell opportunities, manages customer relationships and escalations, and delivers consultative sales engagements. The role partners with Account Executives and Sales Specialists, uses Salesforce and data insights to manage pipelines, and contributes to account and territory growth strategies. This is a remote US position supporting government and regulated-environment customers.

Design, build, test, and deploy secure cloud-native software and AI solutions for legal workflows. Partner with legal customers to translate needs into scalable products, evaluate LLM outputs, optimize prompts, apply DevOps and infrastructure-as-code practices, manage technical debt, and mentor junior engineers. The role requires strong Python and distributed-systems expertise, legal fluency, client communication, and collaboration across engineering, product, legal, and design teams.

Build and operate Thomson Reuters’ scalable search platform, including document ingestion pipelines, indexing systems, query APIs, cloud infrastructure, and AI-enabled retrieval capabilities. Responsibilities include designing distributed services, migrating from OpenSearch to Vespa, improving observability and reliability, participating in on-call, owning production incidents, mentoring engineers, and collaborating with research scientists and client teams to deliver search and AI features.

Build and lead a customizable, enterprise-scale search retrieval platform. Responsibilities include designing retrieval APIs and search services, managing ingestion and indexing pipelines, enabling hybrid retrieval and ranking, operationalizing evaluation and observability, enforcing multi-tenant security, owning SLOs and on-call, and partnering with product, research, and applied science teams. The role also sets architectural direction, leads cross-team initiatives, and mentors engineers.

Build and deploy production-grade AI solutions for legal workflows, including RAG pipelines, agentic systems, enterprise integrations, evaluation frameworks, and observability. Collaborate with architects, engineers, clients, and legal subject-matter experts to translate legal needs into secure, scalable implementations. Participate in technical discovery, prototyping, demonstrations, prompt engineering, model evaluation, red-teaming, and MLOps/LLMOps lifecycle management.