Top Tech Jobs & Startup Jobs in NYC, NY

Build and optimize agentic AI systems for legal workflows: design actions/environments, manage prompts and context, select models and tools, implement low-latency execution infrastructure, develop evaluations, and improve observability to drive agent performance and product iteration.

Manage full sales lifecycle for SMB legal and professional services clients: prospect, qualify, demo, negotiate, and close high-velocity, consultative AI SaaS deals. Build relationships with decision-makers, maintain pipeline and CRM hygiene, collaborate cross-functionally to tailor solutions, and create SMB sales collateral and processes to drive growth.

Own integrations program operations: intake and triage requests, manage ISV/technology partners, run early-access programs, coordinate cross-functional launches, and build scalable processes, documentation, and automation for API/MCP-based integrations.

Serve as the connective tissue between Product, Engineering, and GTM to build product operating systems. Establish voice-of-customer systems, KPIs, dashboards, intake frameworks, and launch/EAP processes. Drive cross-functional alignment, roadmap planning, and post-launch monitoring to scale product teams and translate qualitative and quantitative signals into clear roadmap recommendations.

Work with top law firms to design and deliver AI adoption programs: diagnose current state, build roadmaps, run workshops, create deliverables (ROI models, playbooks), track adoption metrics, and develop repeatable frameworks to scale transformation.

Legal Innovation Partners at Harvey advise law firms on AI transformation, support innovation leaders, and advance legal AI thought leadership.

Lead global integrated campaign strategy for an AI-native B2B SaaS company: define audiences and positioning, design coordinated programs across channels, build measurement and attribution, hire and develop a campaigns team, and apply AI to research, creative, personalization, and performance.

The role involves building AI agent systems for legal professionals, optimizing agent performance, and improving infrastructure for agent execution. Candidates will collaborate with customers and PMs to design evaluations and implement optimizations.

Lead engineering projects to scale document ingestion and jurisdictional data collection, build government-grade secure systems, and deliver AI-platform features. Ship full-stack products using React/TypeScript frontends and Python/Postgres backends, integrating with web, desktop, mobile, Google Docs, MS Word, and APIs while collaborating with AI, Legal, and GTM teams.

Lead and ship full-stack engineering projects for AI-native SaaS: scale document ingestion, design multi-jurisdiction data collection, build secure systems, implement AI-platform features and APIs, and deliver cross-platform client experiences.