Order.co

AI Research Scientist

• 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

Senior AI Scientist

Customer Support

• Providing prompt and professional customer support: You will handle a high volume of phone calls, emails, and chats from Order.co customers & vendors.
• Troubleshooting and problem-solving: You will utilize your problem-solving skills to identify and resolve customer issues.
• Communicating effectively: You will need strong communication skills to interact with customers in a clear, concise, and empathetic manner.
• Managing customer expectations: It is important to set realistic expectations for customers regarding issue resolution times.
• Documenting and tracking customer interactions: Accurate record-keeping is essential to ensure continuity and enable effective follow-up.
• Collaborating with internal teams: As a Support Specialist I, you will work closely with other teams within Order.co.
• Continuously improving customer support processes: We encourage a culture of learning and improvement.

Support Specialist

Security Engineer

• Own Platform team-level architectural security decisions; research, design and own security frameworks
• Lead and contribute to large, complex security initiatives; decompose work, coordinate execution, and surface risks
• Proactively detect and remediate security vulnerabilities
• Champion security standards, testing patterns, and observability
• Mentor senior engineers toward Staff-level behaviors
• Align multiple teams on security strategy

Staff Security Engineer

Full-stack Engineer

• Independently design and implement complex, multi-part features from requirements to production
• Own subsystems, services, or critical components in the payments stack — for example, the internal financial ledger, the virtual-cards issuance and authorization lifecycle, bank connections, or the invoicing and auto-debit pipeline
• Write clean, maintainable, production-ready code with consistent test coverage
• Navigate existing codebases with architectural discernment
• Debug production issues effectively; seek first to understand
• Participate actively in design reviews
• Propose sound technical designs that account for scalability, performance, and reliability trade-offs
• Scope and estimate work accurately; solve problems in order
• Deliver features end-to-end, including rollout coordination and post-release monitoring
• Communicate risks and blockers early
• Mentor junior and mid-level engineers through code reviews, pairing, and direct feedback
• Influence technical decisions through credibility, not just seniority
• Champion quality and standards; push back on shortcuts that create long-term cost

Senior Software Engineer, Payments

• Deliver complex features reliably while raising the technical bar of the team
• Design and implement complex features end-to-end; own subsystems and navigate existing codebases with architectural discernment, using AI tooling as an accelerant while applying your own judgment on correctness, security, and alignment with the system's direction
• Participate in design reviews; propose sound technical designs and identify scalability, performance, and reliability risks before they become incidents
• Scope and estimate accurately; deliver features from requirements through rollout and post-release monitoring; communicate risks early
• Mentor junior and mid-level engineers through code reviews and pairing; provide substantive feedback that raises the quality of code around you
• Drive improvements in team practices — testing patterns, observability, code organization — and push back on shortcuts that create long-term cost
• Explain technical decisions clearly to both technical and non-technical stakeholders; represent engineering in product discussions with a security lens

Senior Software Engineer

DevOps Engineer

• Ensure software systems are reliable, scalable, performant, and operationally efficient
• Design, build, and operate highly available, scalable, and fault-tolerant infrastructure and platform services
• Define and maintain service level objectives (SLOs), service level indicators (SLIs), and error budgets across platform systems
• Lead incident response efforts for complex production outages; drive root-cause analysis and long-term remediation actions
• Develop infrastructure automation and self-service tooling to reduce operational toil and improve engineering velocity
• Build and maintain CI/CD pipelines, deployment automation, and release engineering workflows
• Design and maintain comprehensive monitoring, logging, tracing, and alerting systems for distributed services

Senior Site Reliability Engineer

Data Engineer

• Design, build, and maintain scalable data pipelines, integrations, and AI workflows
• Develop reliable and maintainable ETL/ELT systems that support analytics, operational reporting, and AI-driven products
• Contribute to the architecture and evolution of the company’s data platform and AI infrastructure
• Continuously optimize data architecture to support evolving business and product requirements
• Develop infrastructure automation and deployment workflows to improve engineering velocity and operational consistency
• Implement infrastructure as code (IaC) practices using tools such as Terraform or CloudFormation
• Build and maintain CI/CD pipelines and automated testing workflows
• Develop monitoring, alerting, and observability solutions for data and AI systems
• Improve reliability, scalability, and operational efficiency through automation
• Contribute to production-ready AI systems and workflows where they provide measurable business value
• Mentor junior and mid-level engineers through code reviews, pairing, and technical guidance

Senior AI / Data Engineer

Customer Success Manager

• Manage a large portfolio of SMB customers, focused on driving retention and improving overall customer health
• Execute high-quality, repeatable outreach and save motions to proactively address risks and prevent churn
• Monitor account health signals (usage, spend patterns, support trends) to identify and resolve issues early
• Conduct regular book reviews and data analysis to prioritize at-risk accounts and take action
• Partner with customers via email, calls, and virtual touchpoints to remove blockers and ensure continued success with Order.co
• Act as a trusted guide on day-to-day platform usage, helping customers get consistent value from Order.co
• Collaborate closely with Support, Product, and senior CSMs to escalate and resolve customer issues quickly
• Capture and share customer feedback to help improve product experience and reduce recurring friction points
• Support broader Customer Success initiatives aimed at improving cohort health, retention, and TPV attainment

Associate Customer Success Manager

Business Analyst

• Lead end-to-end process discovery sessions with stakeholders across Operations, Product, and related partner teams.
• Document current-state workflows with clear definitions of: Inputs/outputs, handoffs, decision points, exceptions Cycle time, dwell time, throughput, rework drivers.
• Establish a shared process "source of truth" (diagrams, SOPs, RACI, and workflow documentation).
• Identify root causes of delays, variability, and quality issues using structured problem-solving methods.
• Design future-state workflows that reduce manual work, improve predictability, and clarify ownership.
• Develop operational policies and guardrails (SLAs, standards, escalation paths, exception handling).
• Translate process opportunities into an actionable automation backlog (quick wins vs. larger bets).
• Partner with technical and non-technical builders to implement automations using appropriate tools (low-code/no-code, RPA, workflow tools, and/or AI-enabled automation platforms).
• Ensure automations are operationally safe: monitoring, fallbacks, human-in-the-loop steps, and clear runbooks.
• Define and track performance indicators tied to cycle time, quality, throughput, and workload.
• Create lightweight dashboards and reporting to monitor performance and prioritize improvements.
• Build capacity and utilization views to support staffing models, forecast planning, and cost-to-serve visibility.
• Drive adoption by creating SOPs, training materials, and launch plans.
• Facilitate stakeholder alignment, decision-making, and ongoing continuous improvement rituals.
• Communicate progress clearly to leadership with risks, tradeoffs, and recommendations.