CommodityAI Seed
Forward Deployed Engineer
San Francisco, CA On-site $150K-$200K Mid (3-5 yrs) Added Jun 30
About the role
Position Overview: CommodityAI seeks a Forward Deployed Engineer to manage technical delivery of customer implementations from sales handoff through production stability. Key Responsibilities: Own multiple deployments from prototype to stable production; Build and customize AI agents and reasoning workflows for customer data and operations; Convert customer requirements into dependable automations; Embed with customer teams to understand needs and drive adoption; Lead customer calls covering requirements, progress, and training; Communicate technical details clearly with traders, schedulers, and operators; Manage data flows through standard integrations; Maintain project momentum through clear communication and attention to detail; Balance scope, speed, and quality while protecting delivery timelines; Transform working patterns into reusable playbooks and templates. Required Qualifications: Candidates should bring 3+ years of engineering or technical deployment experience that includes customer-facing work. Strong production-grade coding ability across Python, TypeScript, or similar stacks is essential. Experience with enterprise customers and LLM/generative model deployments is valued. The ideal candidate demonstrates problem-solving abilities, clear communication with diverse stakeholders, and calm judgment under pressure. Compensation & Details: Salary $150K-$200K; Equity 0.25%-0.75%; Location San Francisco, CA (4 days/week in-office); Travel up to 30% for customer visits; Visa US citizen/visa holders only.
Industry
AI / Physical Commodities Operations
Top skills for this role
- Customer deployment ownership from sales handoff to production
- 2. Physical commodities and shipping domain knowledge
- 3. AI document processing and operations automation
Languages
not specified
Frameworks & tools
Commodity trading systemsshipping document processing platformsvessel tracking APIsenterprise integration tools
AI / ML skills
Document AI (classification and field extraction)AI for commodity operations and shipment automation
Customer skills
Working with commodity traders, operators, and C-suite; guiding operational adoption; post-sales technical ownership through production stability
Domain knowledge
Physical commodities, international shipping, vessel operations, supply chain documentation
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