
51 - 200 employees
Founded 2016
☁️ SaaS
💳 Fintech
🤝 B2B
💰 $30M Series B - Order on 2022-01
SaaS • Fintech • B2B
Order. co is an AI-powered procurement and finance platform that streamlines purchasing, accounts payable, spend management, and working capital for businesses. The SaaS product automates the full procurement lifecycle—from requisition to payment—offers virtual vendor-locked cards, AP automation, automated reconciliation, and AI-driven sourcing and catalog management to reduce costs and manual work. It integrates with accounting systems (QuickBooks, NetSuite, Sage Intacct), Workday, and SSO providers, targeting finance and procurement teams at growing companies and enterprises seeking tighter spend control, compliance, and efficiency.
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51 - 200 employees
Founded 2016
☁️ SaaS
💳 Fintech
🤝 B2B
💰 $30M Series B - Order on 2022-01
SaaS • Fintech • B2B
Order. co is an AI-powered procurement and finance platform that streamlines purchasing, accounts payable, spend management, and working capital for businesses. The SaaS product automates the full procurement lifecycle—from requisition to payment—offers virtual vendor-locked cards, AP automation, automated reconciliation, and AI-driven sourcing and catalog management to reduce costs and manual work. It integrates with accounting systems (QuickBooks, NetSuite, Sage Intacct), Workday, and SSO providers, targeting finance and procurement teams at growing companies and enterprises seeking tighter spend control, compliance, and efficiency.
• Ship applied AI from problem definition through deployed production • Own one or more high-leverage initiatives per quarter with clear KPI hypotheses and delivery accountability • Mentor junior scientists and influence technical standards within your initiative scope • Identify high-leverage AI opportunities using business context, data diagnostics, and technical feasibility • Design practical AI/ML solutions with clear trade-offs on accuracy, latency, cost, and reliability • Partner closely with product, engineering, analytics, and operations to align scope, sequencing, and accountability
• 5–7+ years in applied data science / ML with repeated production delivery • Deep familiarity with current LLM and agent technologies • Demonstrated ability to productionize complex models and model-adjacent systems • Heavy, day-to-day use of AI-native engineering workflows (coding, framing/design, debugging, and code review) for at least the past 18 months. • Working implementation proficiency across at least two technical ecosystems/cloud stacks (for example AWS and GCP) • Strong quantitative foundation in experimentation, statistical reasoning, and model evaluation • Strong collaboration skills; can drive alignment and decisions under ambiguity.
• Health insurance • Flexible work hours • Professional development opportunities
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