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Globality

AI-powered procurement automation platform

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePalo Alto, CA, USA$100k - $200k /yr

About the Job

Requirements

  • At least 3 years of experience as a software engineer, forward deployed engineer, or solutions engineer, including shipping production code and direct customer exposure.
  • Experience building at an AI-native company or on an AI-native platform, with production exposure to LLM-based applications, agents, or workflow automation.
  • Working knowledge of designing, evaluating, and monitoring LLM-powered systems, including prompt design, tool use, retrieval, guardrails, and output evaluation.
  • Strong proficiency in Python or TypeScript, and comfort working with REST APIs, webhooks, JSON, and SQL. Experience contributing to a shared production codebase, including code review, testing, and CI/CD.
  • Experience integrating enterprise systems such as ERP, CRM, procurement, or identity platforms, and familiarity with SSO, OAuth, and role-based access control.
  • Experience with cloud infrastructure such as AWS, Azure, or GCP, and understanding of enterprise security and data privacy expectations, including GDPR and CCPA.
  • Willingness to travel to customer sites as needed.

Responsibilities

  • Build custom connectors, data pipelines, and prototypes that extend the platform to meet customer-specific requirements.
  • Modify and extend the core product when customer needs cannot be met through configuration or extensions, shipping production code through the standard code review and release process.
  • Lead technical deployments for enterprise customers from kickoff through go-live and adoption.
  • Integrate the platform with customer systems of record, including ERP, procurement, contract management, and identity platforms, using APIs, webhooks, and SSO.
  • Configure intake flows, sourcing workflows, approval rules, and procurement governance to match customer policies and spend categories.
  • Tune Autonomous Mode and Collaborative Mode behavior for each customer, including agent guardrails, negotiation parameters, and evaluation criteria across price, quality, delivery, service, and risk.
  • Partner with customer procurement leaders, IT, and information security teams to scope requirements, resolve technical blockers, and complete security reviews.
  • Monitor deployed agents in production, diagnose issues, and measure outcomes such as cycle time, savings, and spend under management.
  • Capture field insights and reusable patterns, and ship them back into the platform as product capabilities alongside Product and Engineering.
  • Document reusable deployment patterns in line with SOC 2 Type 2 and ISO 27001:2022 controls.

Desired Qualifications

  • Background in procurement, sourcing, supply chain, or finance technology.
  • Experience with enterprise procurement platforms such as SAP Ariba, Coupa, or Jaggaer.
  • Experience with agent frameworks, evaluation tooling, or multi-agent orchestration.
  • Experience building developer tooling, SDKs, or APIs used by other engineers.
  • Prior ownership of a customer-facing product feature from design through production.

About the Company

Globality

AI-powered procurement automation platform

Globality uses an AI-powered procurement platform to automate sourcing for multinational companies. It defines project requirements, identifies suitable suppliers from preferred and vetted databases, analyzes supplier proposals, and offers negotiation insights plus cost and timeline comparisons. It also performs compliance checks to ensure governance. The AI engine learns from spend data to improve recommendations. This differentiates Globality from competitors by providing fast, precise project scoping, integrated supplier discovery, proposal analysis, and built-in governance, all driven by a proprietary AI that turns spend data into actionable recommendations. Its goal is to help customers save time, reduce costs, and make data-driven purchasing decisions.

Company size
51-200
Company stage
Late Stage VC
Total funding
$367.3M
Headquarters
Palo Alto, CA
Founded
2015

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