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AI FundAI FundSan Francisco, CA

Forward Deployed Engineer

Customer-facing engineer owning end-to-end deployments, configurations, debugging, and integrations for enterprise AI asset management software. Requires 5+ years Python/SQL experience, cloud skills, and customer-facing technical work; hybrid Bay Area with travel.

Salary not listed
Hybrid5+ YOESolutions Architecture

About the role

Responsibilities

  • Own customer deployments end-to-end at the technical working level: daily operations, training, configuration, incident triage
  • Configure Ayama for new customers: enterprise system integrations, operational data mappings, asset hierarchy, customer-specific workflows
  • Debug customer-affecting issues end-to-end: read logs, trace through pipelines, patch in production, file precise root-cause reports for engineering
  • Scope and execute pilot deployments as Ayama brings on new customers
  • Translate field reality into structured product feedback that engineering can act on directly
  • Build customer-specific scripts, integration adapters, and small tools that don't belong in core product code

Requirements

  • 5+ years of hands-on software engineering experience
  • Daily Python fluency (Django/FastAPI preferred, transferable from Flask or other modern Python frameworks)
  • Strong SQL: joins, aggregations, window functions, and reading query plans
  • Track record of customer-facing engineering: deployments, integrations, or incident response with customers in the room
  • Comfort debugging production issues in code you didn't write
  • Direct, structured communication: you can write a clear bug report and explain a technical issue to a non-engineer
  • Cloud experience (GCP preferred) and at least one shipped integration with an enterprise system (ERP, CRM, CMMS, or similar)

Nice To Haves

  • Prior Forward Deployed Engineer, Implementation Engineer, or Solutions Engineer experience at enterprise or B2B SaaS companies
  • ERP / CMMS integration experience
  • Industrial or operations domain background: heavy assets, telemetry, asset management
  • Background in a physical-engineering discipline (mechanical, electrical, industrial)

Skills

PythonDjangoFastAPISQLGCPERPCmmsCRMDebuggingIntegrations
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