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FlowGen Labs

Autonomous ERP workflow automation for enterprises

Forward Deployed Engineer

Implementation & Technical Account ManagementPosted on Nov 9
Full-timeSan Francisco, CA, USA$200k - $375k /yr

About the Job

Requirements

  • Hands-on experience using AI tools and clear ideas for applying AI to development, testing, data, and support.
  • Ability to configure agent behavior across planning, tool use, retrieval, prompts, workflows, and operating procedures.
  • Ability to configure and validate guardrails for safe, compliant, and predictable agent operation in enterprise scenarios.
  • Ability to design abstractions for repeatable deployments.
  • Ownership mentality, crisp communication, and comfort making decisions with incomplete information.
  • Ability to learn new technology stacks.

Responsibilities

  • Own end-to-end execution of platform deployments for enterprise customers.
  • Scope high-leverage workflows, configure agent behavior, validate integrations and guardrails, and drive launches from initial customer conversation through production iteration.
  • Work directly with stakeholders in complex SAP environments and translate customer needs into repeatable platform improvements.
  • Write and maintain agent-building artifacts, including AOPs, integration specifications, evaluation plans, and customer-facing technical documentation.
  • Partner closely with the Platform team to implement abstractions for repeatable deployments.

About the Company

FlowGen Labs

Autonomous ERP workflow automation for enterprises

FlowGen Labs builds autonomous AI agents that operate inside enterprise ERP systems to automate finance and operations. The agents learn a company’s ontology, live data, and procedures to execute workflows such as order-to-cash, procure-to-pay, supply chain, and revenue recognition at machine speed, with native integration to SAP ECC/S4HANA, NetSuite, Dynamics 365, and QuickBooks. It differentiates itself with domain-focused, context-aware agents developed by leaders with backgrounds at Google DeepMind and Meta AI, plus an outcome-based pricing model that charges only when value is realized. Its goal is to help large enterprises reduce manual work and risk while speeding up ERP modernization and autonomous execution.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
2025

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