Top Tech Jobs & Startup Jobs in NYC, NY

Drafts, reviews, and negotiates SaaS and other commercial agreements while serving as the primary legal partner to Sales and GTM teams. Advises on deal structure, pricing, privacy, security, renewals, and contract interpretation. Maintains templates and negotiation playbooks, manages partner and vendor agreements, and improves contracting processes through scalable workflows and AI-assisted tools.

Lead cross-functional corporate marketing initiatives to drive brand awareness, pipeline, and executive engagement. Plan and execute integrated campaigns, support events, product launches, ABM and content programs, measure performance, and collaborate with Sales, Product Marketing, Customer Success, and executives to align marketing with revenue objectives.

Lead the end-to-end self-serve growth funnel—acquisition through conversion—owning strategy, roadmap, experiments, and metrics. Improve activation, retention, sharing, and free-to-paid conversion while partnering across Product, Engineering, Design, Data, Marketing, and Sales and applying AI-native approaches.

Design and build core backend systems for an agent platform: orchestration, durable execution, memory, tool integration, observability, and evaluation. Create scalable services/APIs, develop retrieval and long-term memory solutions, monitor and improve agent behavior, and help drive technical direction and team growth for AI-driven collaboration features.

Lead Product Designer owning end-to-end growth journeys (discovery, activation, monetization). Design experiments, prototypes, and reusable growth patterns; partner with product, research, data, and engineering; manage and mentor 1–3 designers; advocate for user trust while optimizing funnels and pricing, onboarding, and upgrade flows.

Design and scale customer education programs and outcome-based learning journeys, create reusable learning content, partner cross-functionally, enable CS teams globally, and measure learning engagement and adoption to improve programs.

Lead end-to-end Customer Insights product: define the canonical usage data layer, build customer-facing analytics and audit surfaces, and deliver AI-native insights. Partner with engineering, data, design, Sales, and Customer Success to drive renewal and expansion narratives, ensure enterprise readiness (permissions, compliance), and translate ambiguous business questions into clear product experiences and APIs.