Forward Deployed Engineer
AI Fund · San Francisco Bay Area · 6 days ago
HybridEngineering$10/hrFull-time
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 Have
- 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)