Role Description
Job Information
- Job Type Full time
- Industry Technology
- City San Francisco
- State/Province California
- Country United States
- Zip/Postal Code 94114
Job Description
Summary
This role is designed to significantly accelerate the transition from contract execution to the operational launch of automated agents within client environments. By ensuring rapid and successful deployment, the position fosters immediate trust among buyers who require visibility into live systems. Reporting directly to the Co-Founder and CTO, the incumbent will be based in the United States as a full-time employee of Spendflo Inc., driving the core value proposition of the organization.Responsibilities
- Manage the configuration and deployment of Flo agents within client accounts, assuming full ownership of the critical initial 30-day post-launch period.
- Develop and maintain technical integrations connecting to major enterprise resource planning (ERP) and procure-to-pay platforms, including SAP, Oracle, NetSuite, Odoo, and Coupa.
- Collaborate with Account Executives during pre-sales engagements to define technical requirements and scope successful deployment strategies.
- Act as a strategic liaison by identifying product limitations and conveying specific customer needs to the engineering team based in Chennai.
- Develop and refine a comprehensive deployment playbook to standardize processes and minimize the need for custom engineering on future projects.
Requirements
- Possess a minimum of five years of professional experience in implementation, solutions engineering, or system integration, specifically within the procure-to-pay or ERP sectors, or in an operational capacity within enterprise procurement, finance operations, or financial systems.
- Demonstrate practical expertise in constructing AI-driven agents or automated workflows using platforms such as Claude, n8n, Make, or Zapier.
- Exhibit strong technical proficiency with APIs, data mapping, and SQL, with the ability to independently troubleshoot and resolve integration or workflow disruptions.
- Be prepared to work on-site alongside customer procurement and finance departments to ensure seamless collaboration.
- Hold a Bachelor's degree in a technical discipline or possess equivalent professional experience.
First 12 months
- Successfully launch six customer deployments, achieving a turnaround time of 30 days or less from contract signature to the first live agent.
- Deliver a fully documented, repeatable deployment playbook to streamline future onboarding processes.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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