Top Tech Jobs & Startup Jobs in NYC, NY

Build and scale Hypha’s go-to-market revenue systems, including automation, data pipelines, lead routing, scoring, outbound infrastructure, and CRM integrations. Re-architect existing workflows, deploy reliable AI agents for research and outreach, establish monitoring and error handling, and set the technical direction for the GTM stack. Partner with Sales, Marketing, and Customer Success leadership while making build-versus-buy decisions and designing systems that support significant company growth.

Own brand execution across launch campaigns, marketing sites, social, events, templates, and internal materials. Translate brand systems into product tokens, components, iconography, and illustrations. Use generative AI and AI coding tools to create and ship visual work, maintain asset libraries and guidelines, build reusable templates, and perform visual QA. The role requires rapid, high-volume execution, strong typography and systems thinking, Figma fluency, and close collaboration in a startup environment.

Lead design and scaling of AI-powered backend systems for document processing, entity resolution, extraction agents, and conversational interfaces. Build resilient pipelines, orchestration, observability, and evaluation tooling; make architecture decisions, mentor engineers, and partner with product to deliver production-ready applied AI workflows.

Own and build full-stack product features across data visualization, entity management, search, dashboards, and document workflows. Lead initiatives from concept through production across React, Next.js, Node.js, TypeScript, APIs, and PostgreSQL. Partner with product and design, make architecture and product tradeoffs, improve engineering standards, conduct design and code reviews, and mentor engineers. The role requires high autonomy, strong product judgment, technical leadership, and quality-focused execution in a fast-moving startup environment.

Lead product strategy and execution for AI-driven asset management platform features (document management, intelligence engine, collaboration). Define roadmaps, prioritize data-heavy integrations, design dashboards and forecasting, partner with engineering and design, validate with customers, and measure success metrics to embed AI into workflows.

Own the full sales cycle for an AI-native asset management platform: prospect, qualify, and close complex B2B SaaS deals with senior stakeholders. Lead discovery, build ROI-driven business cases, manage multi-stakeholder negotiations, and coordinate with Product, Engineering, and Customer Success. Shape sales playbook, ICP, and influence product roadmap.

Lead and grow a team building a core product area: run sprints, set priorities, hire and mentor engineers, design systems, review architecture, write production TypeScript, and partner with product and design to deliver AI-driven features with high engineering quality.