Product Operations Engineer

About the Company

Our client was founded to bridge the gap between advisors' trading activities and optimal client outcomes, using derivatives expertise to select structured notes that align with client needs rather than broker incentives. Their mission is to help advisors reduce their clients' risk through structured notes. As a rapidly growing firm, they value innovation, integrity, and the power of informed financial decisions.

The Role

You will work directly with the Product Manager as the critical bridge between what the business needs and what gets built. You will turn business requirements into working software, replace external tools with internally owned solutions, automate manual processes, and maintain the central database that connects every function of the company. Just as important, you will build AI into how the company operates: the agents, bots, and harnesses that let a small team move like a much larger one.

This is a high impact, high autonomy role at a company where your work directly affects the trajectory of the business. Within six months you will own the full pipeline from business request to deployed solution. Within twelve months, the systems and AI workflows you build will be foundational infrastructure for the next growth phase.

What You Will Do

• Build AI into how the company operates: design agent harnesses, internal agents, and bots that automate real workflows, not just use AI to write code
• Build and maintain internal systems that replace external SaaS dependencies, so the company owns its core infrastructure
• Automate manual processes across sales operations, reporting, and client delivery
• Manage and improve the central database and the integrations that connect it to every tool the company uses
• Translate business requirements from the sales and operations teams into technical specifications and shipped code
• Maintain engineering discipline: version control, testing, documentation, and clean deployments

You Are a Great Fit If You

• Have built AI into company workflows before (agent harnesses, company agents, or bots) and can point to what it changed
• Have a real point of view on the current AI tooling landscape (gbrain, OpenClaw, Hermes, Buzz) and can tell a strong implementation from an overhyped one
• Have strong software fundamentals, are fluent in SQL, and understand API integrations
• Have strong habits around code quality
• Can communicate with non-technical people about technical tradeoffs, which matters a lot here
• Thrive in small, fast moving teams where you own your outcomes

Nice to Have, Not Required

• Financial services experience
• Knowledge of derivatives, structured notes, or fixed income
• Background at a finance firm, an AI company, or a startup
• Degree in Financial Engineering, Operations Engineering, Computer Science with a finance interest, or a related quantitative field