Forward Deployed Engineer

CommodityAI
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 200,000 annuallyFunction: Software EngineeringExperience: 3+ yearsSkills: ["Communication","Problem-solving","Customer-facing","Collaboration","Presentation"]

As a Forward Deployed Engineer, you will own customer deployments from handoff to production, working with traders and executives to tailor automation, tune AI agents, and translate customer needs into reliable automations. You’ll lead multi-deployment projects, embed with client teams, and drive adoption while balancing scope, speed, and quality in a fast-moving commodities tech environment.

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FursaFursa
CommodityAI
CommodityAI
8 months ago

Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

As a Forward Deployed Engineer, you will own customer deployments from handoff to production, working with traders and executives to tailor automation, tune AI agents, and translate customer needs into reliable automations. You’ll lead multi-deployment projects, embed with client teams, and drive adoption while balancing scope, speed, and quality in a fast-moving commodities tech environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Own technical delivery across multiple deployments from first prototype to stable production
  • •Build and customize our AI agents and reasoning workflows to fit each customer’s data and operational logic
  • •Translate customer requirements into clear, reliable automations in CommodityAI
  • •Embed yourself within customer teams, understand their needs, and guide adoption of what you build
  • •Lead customer calls throughout deployment, covering requirements clarification, progress updates, and user training
Travel: Medium travel

Pay and Benefits

Salary: USD 150,000 - 200,000 annually
Equity and Bonus:Equity

Key Requirements

  • •3+ years of engineering or technical deployment experience that includes customer-facing work
  • •Production-grade code across frontend and backend using Python, Typescript, or comparable stacks
  • •Experience building or deploying systems powered by LLMs or generative models
  • •Experience with enterprise customers and managing expectations, rigor, and structure
  • •Ability to work in an operational industry and make fast, sound decisions under pressure
Experience:3+ yearsCommoditiesEnterprise software
Skills:CommunicationProblem-solvingCustomer-facingCollaborationPresentation
Tech Stack:PythonTypeScriptLLMsAIAPIs

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

CommodityAI
Develops AI-driven forecasting, analytics, and trading signals for commodity markets, helping producers, traders, and investors optimize trading performance, hedging decisions, and risk management through machine learning models and market intelligence.
Industry: Trading Platforms
Website