You will own the economic design of an automated protocol where AI agents negotiate early-payment terms via sealed-bid auctions. You’ll bridge mechanism design and agentic AI, building simulations to ensure incentive integrity and calibrating pricing models. This role is central to creating a new category of autonomous financial infrastructure for global supply chains.
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Product Engineer - Agent Economics at Causa Prima
As a Product Engineer for Agent Economics, you’ll design the auction mechanisms and pricing policies that allow AI agents to negotiate $90 trillion in global B2B payments. This is a rare opportunity to work with founders who built Taulia and Finoa, applying deep mechanism design to the future of the CFO’s office. If you have an adversarial mind and a passion for agentic AI, join this Madrid/Munich team to ship the protocols defining the next era of finance.
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Location
Madrid, Spain or Munich, Germany
Compensation
Not Disclosed + Equity
Company
Causa Prima
Role overview
Enterprise, Software, FinTech, Finance1-10 employees
$90T moves via "duct-taped" workflows. Causa Prima is ending that. We’re building the first agentic AI network for finance: autonomous agents that negotiate and act, not just dashboards. Our founders built 10 startups and 2 unicorns ($400M+ raised). We’re replacing dead software with a self-operating network and a compounding data moat. If you want to build the future where AI makes financial decisions with judgment, join us.
What you will do
- Calibrate auction mechanisms by building simulations against synthetic populations to measure efficiency and optimize design decisions for live deployment.
- Design and govern deterministic pricing policies that allow the in-house underwriting book to bid effectively while remaining rule-bound and defensible.
- Stress-test the protocol adversarially to identify collusion vectors, information leakage, and prompt-injection risks within the agent decision functions.
Who this is a fit for
- Possesses deep grounding in auction theory or market design with the judgment to apply classical economic principles to non-human, agentic participants.
- Demonstrates strong financial fluency in supply chain finance, credit, or treasury, understanding complex concepts like APR and dilution risk for CFOs.
- Has hands-on experience building or testing LLM-based agent workflows using tools like Claude Code or Cursor, paired with an adversarial threat-modeling mindset.
Why this role is remarkable
- Work at the cutting edge of mechanism design where the players are AI agents, using sealed-bid auctions to settle real-world B2B invoices in seconds.
- Join an elite team backed by Creandum and founders who previously built unicorns and the payment rails used by global enterprises like SAP.
- Operate in an AI-first engineering environment using coding agents, focusing your energy on high-level architecture and system integrity rather than manual boilerplate.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Causa Prima wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.