$201,300–$352,300
Forward Deployed Engineer
Posted by FlowGen Labs · open on Ashby as of
$200,000–$375,000 + equitySan Francisco, CAOn-siteFull-time
Own end-to-end deployments of an enterprise AI platform for customers operating complex SAP environments, from workflow scoping and agent configuration through production launch and iteration.
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At a glance
Posted base pay
$200K–$375KAbove the median
Midpoint $288K · median $190K
Median $190K
This job$200K–$375KSenior FDE postings1,849 postings · middle 50% of posted pay$160K–$220KThe work
Builds what the customer runs
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept (not covered)
- Implementation
- Operations
- Coding
- Configuration only
- Builds for
- External customers
- Level
- Senior
- Role
- Individual contributor
What they ask for
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The job description from FlowGen Labs
Posted by FlowGen Labs on
About Us
FlowGen Labs is a frontier enterprise AI company building the zero-touch enterprise: context-aware agents that operate inside deeply customized SAP environments at machine speed, grounded in each company’s ontology, current operational data, and operating procedures so complex workflows can run autonomously instead of relying on manual support teams. FlowGen is focused on turning legacy ERP from a system of record into an execution layer for finance and operations. Deployed at Fortune 500 companies across CPG, distribution, high-tech, and oil and gas, FlowGen Labs brings together a frontier AI and SAP team from DeepMind, SAP, Meta AI, and Amazon AGI Labs.
Role Summary
You will own end-to-end execution of platform deployments for enterprise customers. You will scope high-leverage workflows, configure agent behavior, validate integrations and guardrails, and drive launches from first customer conversation through production iteration. You will work directly with stakeholders inside complex SAP environments and help turn customer needs into repeatable platform improvements.
- Write and maintain key agent-building artifacts, including AOPs, integration specs, evaluation plans, and customer-facing technical documentation.
- Configure agent behavior across planning, tool use, retrieval, prompts, workflows, and operating procedures.
- Configure and validate guardrails so agents operate safely, compliantly, and predictably in real-world enterprise scenarios.
- Hands-on use of AI tools with clear ideas for applying AI to development, testing, data, and support.
- Design the right abstractions for repeatable deployments and partner closely with the Platform team to implement them.
- Ownership mentality, crisp communication, and comfortable making decisions with 80 percent information.
- Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude.
Why Join
- Direct product and company impact with minimal bureaucracy.
- High bar for craft, velocity, and pragmatic shipping.
Logistics
- Location: In person, San Francisco Bay Area
- Visa Support/Sponsorship available
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