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"Simplicity is the ultimate sophistication."
— Leonardo da Vinci
Contract Product Designer / UX Engineer (Capital Markets + AI Prototyping)
Mercata • Canada 🇨🇦
The role involves creating 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 with users to drive feedback and simplify complex workflows.
Responsibilities
- Create fast, functional prototypes using AI-assisted coding tools
- Iterate rapidly on our existing product and deeply shape how analysts interact with Mercata's knowledge graph
- Bring clarity to complex workflows and simplify where others add noise
- Help define a product that feels inevitable in hindsight
- Establish a culture of rapid prototyping, thoughtful workflow design, and relentless simplification
Requirements
- 2-4 years of experience working in front-office capital markets
- Deep understanding of how analysts work and evaluate companies
- Comfortable iterating quickly and building functional UI with AI-assisted coding tools
- Strong workflow and interaction design instincts for data-dense, multi-step research workflows
- Startup experience and mindset
Key Skills
- UX design
- AI-assisted coding tools
- Front-office capital markets workflows
- Interaction design
- Startup mindset
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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