Top Tech Jobs & Startup Jobs in NYC, NY

Lead product strategy and market fit for CoCounsel Tax, Audit & Accounting across corporate customers. Research customer needs, prioritize the roadmap, define enterprise workflows, and shape MCP/API-based AI platform capabilities. Partner with engineering, data science, subject matter experts, marketing, sales, and operations to launch technically complex products, improve onboarding, support enterprise security and compliance, and enable corporate go-to-market efforts.

Designs and maintains scalable infrastructure for ingesting, processing, storing, and serving large volumes of legal and financial document data. Responsibilities include building data pipelines and backend services, improving databases and schemas, implementing governance and GDPR compliance, supporting machine learning workloads, leading technical initiatives, and mentoring engineers.

Leads Thomson Reuters’ applied AI and information retrieval research strategy, covering semantic search, ranking, RAG, agentic retrieval, NLP, knowledge graphs, and generative AI. Builds and manages multidisciplinary research and engineering teams, translates research into production systems, establishes evaluation frameworks, and partners with product and engineering leaders to deliver scalable cloud-native AI solutions and measurable business value.

Lead the technical direction and evolution of Noetica’s data platform, architecting scalable pipelines and storage systems for high-volume legal and financial data. The role owns platform strategy, governance, privacy, compliance, reliability, and security; partners with AI and machine learning teams; mentors engineers; guides architecture decisions; and remains hands-on building critical production systems.

Leads the design and development of cloud-native platforms supporting generative AI agents. Responsibilities include building backend services, developer enablement tools, CI/CD pipelines, Kubernetes and multi-cloud infrastructure, platform security, observability, DORA metrics, and production engineering practices. The role requires mentoring, architectural leadership, cross-functional collaboration, and expertise in cloud-native systems, networking, infrastructure as code, and systems programming.

Own the roadmap and customer discovery for CoCounsel’s expansion into in-house legal departments. Lead a team of product managers, translate legal customer needs into prioritized use cases, and partner with Engineering, Design, Marketing, and go-to-market teams to deliver products. The role requires product management or in-house legal operations experience, generative AI familiarity, customer empathy, and the ability to assess technical feasibility.

Own the transactional use-case roadmap for CoCounsel, translating deal-lawyer needs into prioritized product plans. Lead two to three product managers, guide discovery and prioritization, and partner with Engineering, Design, Marketing, and go-to-market teams to launch solutions for M&A, financing, real estate, capital markets, diligence, drafting, and negotiation workflows.

Creates, maintains, researches, and edits practical Corporate and M&A legal content for Thomson Reuters’ Practical Law service. Supports AI-powered legal solution and editorial-tool development, monitors legal and market developments, collaborates with cross-functional teams, and builds relationships with lawyers and industry groups. The role requires extensive cross-border corporate law expertise, strong legal writing, current US bar licensure, and substantial experience advising on M&A, governance, joint ventures, and investments.

Build and productionize AI-powered backend services for CoCounsel International using Python, FastAPI, PostgreSQL, AWS, and modern LLM providers. Design scalable platform architecture, agentic workflows, orchestration, routing, guardrails, telemetry, and observability. Collaborate with Labs, product, and design teams to turn early AI concepts into reliable customer-facing features, while mentoring engineers and supporting performance optimization and operational robustness.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.