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"Design is not for philosophy it's for life."
— Issey Miyake
The role involves creating functional prototypes and iterating on existing products to enhance user interaction with Mercata’s knowledge graph. The designer will work closely with the CEO and CTO to refine workflows and improve the user experience for analysts.
Responsibilities
- Working directly in tools like Cursor, Claude Code, Windsurf, Replit, Lovable, or similar environments to create fast 0→1 functional prototypes
- Iterating rapidly on our existing product and deeply shaping how analysts interact with Mercata’s knowledge graph
- Bringing clarity to complex workflows, simplify where others add noise, and helping 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
- Low ego, high ownership, strong communication
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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