Top Tech Jobs & Startup Jobs in NYC, NY

Develop customer-specific AI solutions for consequential business decisions. Investigate internal and public information, evaluate evidence, identify uncertainty, and design reliable AI workflows. Work directly with customers to understand needs, prototype solutions, test them with users, and improve their usefulness. Translate successful workflows into repeatable product capabilities while partnering with engineers on integrations and missing technical functionality.

Leads Zendesk’s global AI Services Consulting organization, establishing strategy, operating models, service portfolios, governance, delivery standards, capacity planning, and commercial performance mechanisms. Builds leadership capability and scalable consulting operations while partnering with Sales, Customer Success, Product, Engineering, Finance, and executive customers. Drives measurable AI adoption, customer value, retention, expansion, delivery quality, and margin through repeatable enterprise services and cross-functional alignment.

Lead creative design for enterprise lifecycle email campaigns using Hightouch’s AI marketing platform. Translate brand guidelines into agentic workflows, prompts, reference libraries, and guardrails; create high-quality email campaigns; partner with customers on testing and performance optimization; influence product and model behavior; and document scalable creative best practices.

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Leads creative technology initiatives by building AI agent pipelines, MCP servers, plugins, generative video systems, and voice agents. Designs AI architectures, prototypes emerging technologies, develops scalable creative systems, and optimizes tools and campaigns using tracing and agent analytics. Partners with clients and cross-functional teams, presents to executive stakeholders, mentors team members, and balances brand, audience, business, creative, and technical objectives.

Lead the intersection of patent law and AI product development for global and Japanese IP markets. Engineer and evaluate AI outputs for patent tasks, build legal benchmarks, shape the product roadmap, support client pilots and demos, develop AI adoption playbooks, and ensure readiness for Japanese-language patent documents and JPO practices. The role requires patent qualification, Japanese and English fluency, technical expertise, client engagement, and regular travel between London or New York and Japan.

Analyst supporting growth lending investments by screening opportunities, conducting financial and commercial due diligence, building financial models, analyzing company performance, preparing investment and credit materials, presenting recommendations, and monitoring portfolio companies. The role also supports business development and market outreach while managing multiple priorities in a fast-paced, hybrid environment.

Own enterprise customer relationships from onboarding through renewal. Run customer touchpoints, support adoption, monitor account health, gather feedback, partner with sales on pilots and onboarding, and translate customer needs into product and engineering input. The role serves investment professionals at banks, hedge funds, and asset managers, with occasional travel to customer sites.

Provide first-line customer support through phone, text, and email. Become an expert in Clair’s signup, earned wage advance, and repayment products; resolve financial questions; and deliver an exceptional user experience. Collaborate with product, technology, and partner teams to investigate issues and improve support. The role requires strong communication, numerical aptitude, Zendesk experience, and enthusiasm for fintech and supporting hourly workers.

Senior Business Systems Analyst to define requirements for agent-facing servicing applications, design integrations/APIs with core banking systems, translate needs into user stories and acceptance criteria, improve agent workflows and productivity, and identify AI/ML opportunities for fraud detection, automation, and operational analytics. Supports testing, validation, and releases.