Top Tech Jobs & Startup Jobs in NYC, NY

Leads category and menu strategy across restaurant brands, owning innovation roadmaps, new menu items, limited-time offers, restaurant concepts, and menu optimization. Uses customer insights, sales data, competitive trends, and financial metrics to identify growth opportunities. Partners cross-functionally with Culinary, Marketing, Supply Chain, Operations, Food Quality, Procurement, and Finance to test, launch, and optimize products while improving category-management processes and forecasting tools.

Leads enterprise-wide marketing procurement across media, creative, public relations, MarTech, agencies, events, and related services. Develops sourcing strategies, negotiates supplier partnerships, analyzes marketing spend, drives cost optimization, improves supplier performance, advises marketing leadership, manages procurement initiatives, and mentors a direct report.

Own and optimize Wonder’s Workday-based People Technology ecosystem, including architecture, configuration, integrations, APIs, automation, data governance, and system design. Build AI-enabled employee experiences, improve HR workflows, and support scalable solutions across payroll, benefits, onboarding, and employee lifecycle processes. Lead complex initiatives such as M&A integrations, implementations, and organizational scaling while independently delivering end-to-end solutions in a fast-paced environment.

The Product Designer II at Wonder will design AI-driven food technology experiences across iOS and web, focusing on clarity, trust, and simplicity in user interactions while evolving the design system.

Leads Wonder’s operational performance analytics for Field Operations by owning KPI frameworks, dashboards, reporting systems, financial models, forecasts, and business reviews. Partners with Operations, Finance, Product, Culinary, Technology, and Data teams to translate operational data into actionable recommendations, evaluate pilots, support planning, and improve profitability, execution, and guest experience. The role also drives reporting automation, self-service analytics, adoption, and continuous improvement.

Design end-to-end experiences for Wonder’s operator-facing kitchen technology portfolio. Conduct research and usability testing, create high-fidelity designs and prototypes, collaborate with product, engineering, analytics, and operations teams, and optimize workflows for speed, accuracy, and operational performance in constrained physical environments.

Design and build AI-native developer tooling, including context aggregation, MCPs, CLIs, skills, sub-agents, and cloud agent solutions. Integrate AI into code review, testing, code generation, documentation, refactoring, and incident workflows. Optimize AI model selection and costs, improve developer velocity, and establish engineering standards. Own tools end-to-end while partnering with platform, infrastructure, and application teams in an evolving organization.

Build and maintain high-performance, low-latency backend systems for large-scale food delivery products. Design distributed microservices, contribute to architecture and engineering improvements, mentor engineers, collaborate across product and technical teams, own features through production, and participate in on-call support.

Project-based intern supporting data analysis and process improvement for procurement and construction workflows. Responsibilities include cleaning and analyzing data with Python and spreadsheets, building dashboards and process tools, gathering stakeholder feedback, testing workflows with field and vendor teams, and presenting completed projects. Example initiatives include procurement cost analysis and redesigning mobile-friendly construction punch-list processes.

Support the installation, commissioning, testing, troubleshooting, and operation of robotic food-service systems across restaurant deployments. Work hands-on with mechanical, electrical, controls, software, and integration components, including conveyors and collaborative robot arms. Contribute to prototyping new automation concepts, sustaining existing kitchen equipment, improving reliability, and creating deployment and operational playbooks. Collaborate with engineering teams, restaurant operations, and vendors to investigate issues and scale repeatable automation deployments.