Product Engineer

About the Company

An AI-native trade advisor on a mission to help companies recover more than $1 billion in tariff refunds over the next two years. The product ingests messy trade and shipping data, uses AI to structure it, and files duty drawback and tariff refund claims directly with the federal government. It holds its own customs broker license and official certification, a real regulatory moat in this space. Since securing that license about 15 months ago, the company has scaled from zero to a $4M revenue run rate with a team of 10 in San Francisco, and is currently closing a new financing round backed by well-known venture investors.

About the Role

One of three Product Engineer seats being hired for over the next 60 days. This is a full-stack, high-autonomy generalist role, there's no dedicated PM or designer, so engineers work directly with the business team and customers, form their own view of what to build, and own it end to end. Several current engineers have built entire revenue-generating product lines solo, alongside just a salesperson and a customer.

What You'll Own

• Features end to end across the stack for an AI-native trade and customs product
• Direct work with the business team and customers to define what gets built next
• Applying AI and LLM tooling to structure messy, real-world trade and shipping data
• Fast shipping and iteration within a small, ten-person team, with large areas of individual ownership
• Building and evolving production systems over time, not one-off prototypes

What We're Looking For

• 4 to 10 years of professional software engineering experience, including at least one seat of two or more years where you built and owned a system through its evolution
• A genuine full-stack generalist: comfortable owning a feature from backend through frontend without a dedicated PM or designer
• Experience building B2B or internal-workflow software where the user is a business operator, not a consumer. Fintech or regulated-industry exposure is a plus, not a requirement
• An applied engineering focus rather than an ML-research or PhD-track background
• Bonus: prior exposure to trade, customs, logistics, or supply chain (not required, the team can ramp strong engineers up quickly), or experience at a comparable vertical AI or logistics startup

Logistics

San Francisco, three days a week on-site. Some flexibility has been extended to exceptional candidates relocating from out of market. Compensation is $180K to $250K base plus equity, with a signing bonus available and line of sight to roughly $100K a year of equity value at the top of the band. The company is currently closing a new funding round and expects to roughly triple its valuation over the next 12 months.