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"Good design is obvious. Great design is transparent."
— Joe Sparano
Contract Product Designer / UX Engineer (Capital Markets + AI Prototyping)
Mercata • New York, United States of America 🇺🇸
The role involves creating fast functional prototypes and iterating on existing products to enhance how analysts interact with Mercata’s knowledge graph. You will work closely with the CEO and CTO, embedding directly with users to drive feedback loops.
Responsibilities
- Create fast 0→1 functional prototypes using AI coding tools
- Iterate rapidly on the existing product and drive short, fast feedback loops
- Embed directly with users and work tightly with the CEO and CTO
- Bring clarity to complex workflows and simplify where others add noise
- Help define a product that feels inevitable in hindsight
Requirements
- 2-4 years Front-office capital markets experience (buy-side or sell-side research, PM team, or having built tools directly for analysts/PMs) with a deep understanding of how analysts work
- Comfortable iterating quickly and building functional UI with Cursor, Lovable, Replit, or other tools instead of only Figma mock-ups
- Strong workflow and interaction design instincts for data-dense, multi-step research workflows
- Startup experience
Key Skills
- Product design
- UX engineering
- Front-office capital markets experience
- Workflow and interaction design
- AI coding tools
About Mercata
The goal of Mercata is simple: help financial analysts waste less time searching for data and more time applying judgement and making trade decisions. Mercata is an AI-native Research OS that gives investment teams a faster, smarter way to turn their vast sea of raw information into action. LLMs can summarize text, but they are factually inaccurate and not suitable for high stakes decision making without assistance. They invent facts, lose context, and cannot show their sources. Mercata fixes this by grounding AI in a continuously updated knowledge graph that maps how companies, people, projects, and events connect and evolve over time. This creates a living intelligence layer that links every fact within every document and dataset together. Analysts can ask complex, high-context questions such as “Which board members worked together before?”, or “how much of this 300 page filing is REALLY new news” and get precise, source-linked answers in seconds. On top of this foundation, Merc
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