Product Designer
About the job
- At least 4 years of product design experience shipping web applications.
- A strong portfolio demonstrating complex workflows simplified into intuitive interfaces.
- Proficiency with modern design tools; Figma is preferred.
- Experience with interaction design, including thinking in flows and states rather than only visual design.
- Ability to produce work ranging from rough wireframes to polished, production-ready specifications.
- Own end-to-end product design from discovery through high-fidelity prototypes and production handoff.
- Conduct user research with finance teams to understand workflows, pain points, and mental models.
- Translate complex data operations into clear, approachable interfaces.
- Develop and maintain a coherent design system that balances speed with consistency.
- Collaborate closely with engineering to ensure design intent survives implementation.
- Participate in customer demonstrations to observe user reactions and gather feedback firsthand.
- Iterate rapidly based on product specifications and real-world usage patterns.
- Previous work on dashboards, data tools, business intelligence platforms, or analytics products.
- Experience designing AI-powered features, conversational interfaces, or products with non-deterministic outputs.
- Understanding of enterprise user experience patterns, including audit trails, permissions, bulk operations, and administrative workflows.
- Familiarity with finance team workflows, accounting concepts, or fintech products.
- Ability to read code, prototype in HTML/CSS, or work directly in design-to-code tools.
- Previous experience at early-stage startups, where the candidate wore multiple hats.
About the company
Preql AI provides a no-code data analytics platform that connects to a company’s existing data sources, allowing business users to manage and customize their metrics without needing a data team. It uses artificial intelligence to write data transformation code, keeps data up-to-date, and monitors data quality and freshness. The platform integrates with popular BI tools, enabling trusted reporting in minutes. Unlike traditional analytics setups that require engineers to translate business context into metrics, Preql lets users define their own metrics and handles the data structuring automatically. This single platform supports updating metrics, adding new data sources, and adapting to changing reporting needs as a business evolves. The goal is to empower non-technical users to produce reliable, timely insights with minimal setup and maintenance, typically via a subscription-based model.
Company Size
11-50
Company Stage
Seed
Total Funding
$7M
Headquarters
New York City, New York
Founded
2022
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Simplify's Take
What believers are saying
- Preql's February 2026 Gartner recognition increases credibility with finance buyers.
- The company says MLB Network, Cross River Bank, and Hearst Corporation use it.
- Hiring remained active in October 2026, signaling continued product and go-to-market investment.
What critics are saying
- dbt Semantic Layer already serves governed metrics through dbt Cloud, eroding Preql's wedge.
- Preql disclosed only $7 million since 2022, limiting enterprise sales endurance.
- If Gartner attention fails to convert, Preql becomes a feature, not a company.
What makes Preql AI unique
- Preql AI sells an agentic semantic layer for finance teams, not generic BI tooling.
- Its product automates cleaning, mapping, and reconciling ERP, CRM, HR, and expense data.
- Gartner named Preql a 2026 Cool Vendor in AI for FP&A.
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Benefits
- Health Insurance
- 401(k) Retirement Plan
- Remote Work Options
- Flexible Work Hours
- Paid Vacation
- Paid Holidays
- Holiday Leave
- Wellness Program
- Mental Health Support
- Gym Membership
- Conference Attendance Budget
- Professional Development Budget