Product Engineer

Title of the Role:
Product Engineer

Location – San Francisco, CA (Hybrid) – Hybrid role requiring three days per week in-office in Downtown San Francisco.

Compensation – $185,000 – $230,000 Base + Competitive Early-Stage Equity

Visa – Open to Visa Transfers (OPT, H1B Transfers) + TN, J1, and O-1 Sponsorship

Company Stage – Early Stage – Seed / Approaching Series A

Industry – Artificial Intelligence, Global Trade, Customs Technology, Fintech, Enterprise SaaS, Trade Automation, Agentic AI

Our client is building an AI-powered global trade platform designed to help importers navigate the increasingly complex world of tariffs, customs, and international trade.

The company is transforming fragmented trade data, documents, and operational systems into actionable intelligence that helps businesses uncover duty refunds, tariff exemptions, and other cost-saving opportunities.

The company has already reached significant early traction with more than 80 customers in production and strong recent revenue growth, while preparing for its next major funding milestone.

As a Product Engineer, you’ll join a small, high-impact engineering team where every engineer has significant influence over product direction, technical architecture, and engineering culture.

This is an opportunity to work directly with founders and customers while building full-stack product experiences, data infrastructure, AI-powered workflows, and systems for a compliance-heavy domain where accuracy and reliability have real-world financial consequences.

• Build full-stack product features across the platform from initial concept through production deployment
• Work directly with customer data to connect product capabilities with real-world use cases
• Process and transform messy, fragmented trade data from documents, CSVs, APIs, and other sources
• Build systems that convert unstructured and semi-structured trade data into clean, structured, actionable information
• Design and model PostgreSQL databases supporting complex global trade workflows
• Build reliable data models that can evolve as the company’s customs-centric data graph expands
• Shape product direction alongside founders and technical leadership
• Work directly with users to understand operational problems and customer requirements
• Push back on product specifications when necessary and help determine the best technical and product approach
• Own features end-to-end from ambiguous requirements through architecture, implementation, deployment, and iteration
• Build customer-facing applications and workflows for importers and trade professionals
• Develop agentic AI workflows on top of the customs-centric data graph
• Build AI-powered systems that help customers identify duty recovery, tariff, and trade opportunities
• Design reliable AI workflows with appropriate safeguards for a compliance-heavy domain
• Build APIs, backend services, frontend experiences, and data workflows across the full product stack
• Integrate external APIs, customer systems, and third-party data sources
• Work with large volumes of documents and structured trade data
• Build systems that maintain accuracy, reliability, transparency, and traceability
• Collaborate closely with founders and the small engineering team on technical strategy
• Operate effectively in an ambiguous environment where requirements are not always fully defined
• Make pragmatic technical decisions balancing product velocity, correctness, and maintainability
• Identify product opportunities based on customer feedback and operational needs
• Improve system performance, reliability, scalability, and user experience
• Help establish engineering practices, technical standards, and product development workflows
• Continuously evolve the platform as the company expands into new…