Forward Deployed Engineer at CommodityAI
Jack & Jill · San Francisco, CA · 2 days ago
On-siteEngineeringFull-time
About the role
The role of a Forward Deployed Engineer at CommodityAI is to bridge the gap between AI product and physical trade operations. This is a high-impact role for an engineer who thrives at the intersection of code and customer outcomes.
Responsibilities
- Configure data schemas and AI extraction workflows to turn messy real-world documents and emails into structured, actionable trade data.
- Lead customer onboarding workstreams from initial scoping and technical configuration through to user acceptance testing and successful go-live.
- Build internal tools, scripts, and automation templates that accelerate the deployment process and create leverage for the entire engineering function.
Requirements
- 1-3 years of experience in software engineering, implementation engineering, or a technical consulting role with strong coding skills in Python or TypeScript.
- Proven technical proficiency with APIs, structured data models, and the ability to diagnose complex issues across AI-driven systems.
- Exceptional communication skills and an operator mindset, comfortable managing multiple customer workstreams in a fast-paced, early-stage startup environment.
Qualifications
- Strong problem-solving and analytical skills.
- Experience with data processing and machine learning frameworks.
- Ability to work independently and as part of a team.
Skills
- Python or TypeScript programming skills.
- Experience with API development and integration.
- Knowledge of structured data models and data schema design.
- Strong communication and interpersonal skills.
Benefits
- High-growth environment with massive scale and impact.
- Mentorship from the founding team.
- Opportunity to build the company's deployment playbooks from the ground up.
Pay
Not disclosed.
Schedule
Flexible schedule to accommodate the needs of the role and the company.