Order.co
Order.co Offices
Order.co is headquartered in New York.
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
Team members at Order.co are empowered to make the best decision for themselves regarding where they work, whether from home, the office, or otherwise!
Typical time on-site:
Flexible
U.S. Office Locations
New York

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Our Flatiron office puts you in the heart of one of Manhattan’s most vibrant neighborhoods. Enjoy great restaurants, a beautiful nearby park, and plenty of happy hour options all within walking distance. Plus, with numerous subway lines nearby, commuting from across the city is quick and convenient.
Recently posted jobs
eCommerce • Fintech • Payments • Software
Scale and evolve Order.co’s design system across legacy product experiences. Audit components, identify inconsistencies, create accessible production-ready patterns with engineers, establish system principles, and improve adoption and usability. The role also explores AI-enabled workflows for component discovery, documentation, quality checks, and pattern generation while balancing flexibility, consistency, and scalability.
eCommerce • Fintech • Payments • Software
Define Order.co’s company-wide data and applied AI architecture, standards, governance, and investment strategy. Build production AI systems spanning data platforms, retrieval, model serving, evaluation, guardrails, and agentic workflows. Partner with the Head of Data, product, engineering, and operations leaders to fund and deliver initiatives that improve company KPIs. Mentor senior contributors, establish reusable engineering patterns, and ensure AI systems meet security, reliability, observability, privacy, and operational requirements.
eCommerce • Fintech • Payments • Software
Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

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