Top Tech Jobs & Startup Jobs in NYC, NY

Lead and manage forward-deployed engineering teams to design, build, and deliver scalable, secure LLM/AI solutions for customers. Provide technical architecture guidance, drive MLOps/LLMOps best practices, oversee delivery of POCs and production systems, hire and develop engineers, and collaborate with Product, Sales, and Customer Success to shape product roadmaps and reusable AI frameworks.

The Director, Strategic Partnerships will lead key AI partnerships, manage strategic relationships, set joint operating plans, and drive commercial outcomes. The role requires strong negotiation skills and experience in legal tech partnerships.

Lead new business development and close strategic partnerships with major and emerging technology companies, focusing on AI licensing. Own full sales cycle, create commercial solutions using Reuters content and data, manage key accounts post-close, and collaborate with cross-functional teams to shape product and partnership strategy while forecasting and accelerating pipeline.

Lead product execution for the CoCounsel Legal Forward Deployed Engineering (FDE) team. Drive customer engagement and use-case discovery with legal stakeholders, maintain and prioritize backlogs across FDE engagements, manage end-to-end product lifecycle from discovery to hand-off, and identify opportunities to productize bespoke customer work into scalable AI capabilities while coordinating with engineers and core product teams.

Lead technical vision and delivery of AI-powered search, retrieval, RAG, and knowledge systems. Design retrieval architectures (embeddings, hybrid search, reranking, knowledge graphs), establish evaluation benchmarks, partner with Product and Engineering to productionize solutions, and mentor scientists and engineers while shaping AI strategy and roadmap.

The Acquisition Sales Specialist sells CoCounsel solutions to new law firms by meeting sales targets through outbound prospecting, managing leads, and utilizing Salesforce for tracking interactions and sales forecasting.

Lead engineering strategy and execution for enterprise-scale file and content infrastructure. Own file/workspace platform, high-throughput ingestion and connectors, compliance (BYOK, data residency), large-scale data migrations, and reliability/operational practices. Hire and develop managers, ensure end-to-end service ownership, and partner across AI, search, and product teams to make customer content agent-ready and secure for legal workflows.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Lead and grow an applied research team building LLM-based, agentic AI for tax and accounting products. Drive product-facing AI features from concept to production, set long-term AI strategy, partner with product and engineering, engage domain experts, and ensure rigorous evaluation and delivery in accuracy-critical workflows.

Manage an enterprise book of customers for AI-enabled Legal Tracker and HighQ products. Drive adoption, value realization, retention and expansion via CSPs, EBRs, health monitoring, executive engagement, cross-functional collaboration, playbook creation, and use of Salesforce/Gong. Travel ~25%.