Order.co

HQ
New York
152 Total Employees
38 Product + Tech Employees
Year Founded: 2016

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

HQ

New York

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

3 Days AgoSaved
Remote or Hybrid
United States
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.
3 Days AgoSaved
Remote or Hybrid
2 Locations
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.
9 Days AgoSaved
Remote or Hybrid
United States
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.