Toggle navigation
×
Search
Jobs
Explore
Careers
Get
Advice
Employers >
Sign In
Sign In
Sign In
How Tapwage Works
Contact
Find a Job
Career Channels
Recruiting tools
Post Jobs
Search Jobs
Next Job
Search Jobs
How Tapwage Works
Post Jobs
Forward Deployed Engineer
DeepLearning.AI
San Francisco, CA
Remote
Education
Mid-Level
Benefits
Full-Time
Skills
Tech
Other
General Superlatives
Apply
10,000+ Similar
Jobs
Responsibilities for the Role Include:
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 For the Role Include:
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 Include:
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)
Why Join Ayama:
Exclusive Ecosystem:
Unparalleled access to AI Fund's experts and Dr. Andrew Ng's network of AI luminaries.
Real-World Impact:
We are solving critical performance gaps in energy supply while demand driven by global electrification skyrockets.
Growth Path:
First role on what will become Ayama's customer engineering function. Lead and hire that team as the company scales.
Read Full Description
Apply
Jobs at DeepLearning.AI
Similar Jobs
Confirmed 10 hours ago.
Posted 30+ days ago.
Discover Similar Jobs
Forward Deployed Engineer (All Levels)
Salesforce
- San Francisco, CA
Remote
Full-Time
Fullstack Development
Junior
Remote
Tech
Forward Deployed Engineer (Ayama)
Landing AI
- San Francisco, CA
Remote
Full-Time
Hybrid
Mid-Level
Remote
Tech
Engineering: Senior Customer Forward Deployed Engineer
Amplitude
- San Francisco, CA
Full-Time
Go to Market
Mid-Level
Sales Engineering
Tech
Forward Deployed Engineer
JLL
- San Francisco, CA
Full-Time
Fullstack Development
Professional Services
Senior
Tech
Forward Deployed Engineer (FDE) - Public Sector, Nonprofit & Education
Salesforce
- San Francisco, CA
Remote
Full-Time
Fullstack Development
Junior
Remote
Tech
Suggested Articles
Managing a Software Career
Demand for (Artificial) Intelligence: Jobs for Engineers & Scientists
Is it Really 10 Times Harder to Get Into Google Than Goldman Sachs?
How to Master the Technical Interview at Google and Facebook
Customer Success
What I Learned In My First Year as a Product Designer
Coding from Afar
Software Jobs That Allow Remote Work
Tapwage
DeepLearning.AI
Forward Deployed Engineer