Top Tech Jobs & Startup Jobs in NYC, NY

Engineering intern will build, test, debug, and ship web and mobile product features alongside senior engineers. The role includes creating AI-powered automation, interpreting usage data with analysts, iterating rapidly with AI-assisted development, and learning new languages, frameworks, and AI-native practices. This is an in-person NYC internship from June 8 through August 20, 2027.

Build, test, debug, and ship web and mobile product features alongside senior engineers. Develop AI-powered automation, analyze product usage data, iterate through AI-assisted development, and expand technical skills across languages and frameworks. Interns will collaborate with engineers and data analysts, communicate technical tradeoffs, and work in person at the company’s Union Square NYC office.

Owns major campaign ideas across paid social, video, photography, and brand marketing. Responsibilities include writing concepts, scripts, headlines, and briefs; directing customer-story shoots; building AI-powered creative workflows; connecting campaigns to business goals; iterating quickly; and mentoring designers and editors. The role requires strong art direction, copywriting, performance creative, cross-channel thinking, and campaign leadership.

Lead and grow a lean Applied AI engineering team while personally building agentic systems, prototypes, evaluations, and AI-native tools. Partner across Sales, Marketing, Operations, and Engineering to deliver measurable business outcomes, establish AI quality standards, test emerging models, and hand stable solutions to durable owners. The role requires managing engineers while remaining hands-on, connecting technical work to revenue and efficiency metrics, and creating processes for rapid experimentation and delivery.

Own end-to-end product execution for AI-native experiences, from concept through launch. Shape the roadmap using customer, market, competitive, and business insights; collaborate with Design, Research, Engineering, Marketing, and Analytics; iterate rapidly based on data; and define agentic product experiences that help small businesses automate administrative work.

Own the architecture and standards of the company’s dbt project, building scalable models across staging, intermediate, and mart layers. Partner with product, design, and engineering teams to evolve data models, validate metrics, and maintain data quality. Develop AI-assisted testing, documentation, and access workflows; collaborate on Segment, Fivetran, and Airflow pipelines; and drive privacy, governance, and warehouse best practices.

Provide personalized customer support by phone, text, email, and social media. Guide business owners through payroll account setup, resolve escalated issues, and build strong customer relationships. Use AI to create support macros, Help Center content, and workflows, while improving processes and supporting customer acquisition, satisfaction, and retention goals.

Owns Genius AI’s webinar program and national trade show initiatives from planning through execution and performance analysis. Responsibilities include managing topics, talent, promotion, budgets, vendors, activation concepts, lead routing, sales partnerships, pipeline results, and AI-powered workflow automation. The role also develops new event formats, monitors performance metrics, and travels domestically 1–3 times monthly while working primarily in person from the NYC headquarters.

Own and evolve Genius AI’s design system, including component libraries, design tokens, Figma libraries, documentation, governance, accessibility, and design-to-development workflows. Partner with engineering, product, and design teams to drive adoption, support a company-wide rebrand, improve tooling with AI-powered workflows, influence roadmap priorities, and mentor designers.

Lead a platform engineering team responsible for tier-zero systems, identity, permissions, sessions, and messaging infrastructure. Own delivery, quality, architecture, technical debt, and team development while partnering with Product, Design, and Recruiting. Embed AI tooling into engineering workflows and build AI-powered automation to improve productivity. The role also involves hiring, mentoring engineers, making architectural decisions, and connecting platform outcomes to customer value.