Senior Product Designer, Data Visualization

July 21

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Faros AI

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Connect the dots between all engineering data sources. Gain unprecedented visibility into your engineering operations!

devops • cloud • automation • ml • ai

11 - 50

💰 $20M Series A on 2023-01

Description

• Engage with customers to understand their needs, including defining key personas, use cases, and UX opportunities that influence product strategy. • Design data visualization dashboards that will empower customers with their data, focusing on narrative-driven design that communicates insightful stories. • Lead the end-to-end experience of modules, custom-designed dashboards tailored to specific engineering personas, enabling customers to make well-informed decisions based on the presented data. • Build and test prototypes, assessing value, flow and ease of use. • Collaborate closely with designers, engineers, product managers, and other stakeholders to drive critical initiatives from ideation to completion. • Actively seek & provide design feedback and collaboratively improve the design process.

Requirements

• 5+ years of product design experience, designing end-to-end products with complicated flows, multiple scenarios and edge cases. • Experience in designing user interfaces for data visualization, business intelligence, data analytics, or related products, translating intricate data into intuitive designs that enhance user understanding and decision-making. • Skilled in user research to uncover needs and inform designs. • Verify design usability through customer testing, ensuring practicality and effectiveness through real-user feedback. • Ability to provide design variations and rationalize design choices. • A system thinker who has the vision to design the big picture and the tactical ability to break it down so that engineering can succeed in building it incrementally. • Willing to adapt and contribute to the Faros AI design system. • Proficiency in tools such as Figma and Adobe Creative Suite. • Knowledge of Metabase is a plus. • Familiarity with third-party UX research collaboration is a plus. • Early-stage startup experience and previous experience with AI products or coding is a plus. • Ability to work in a remote-first environment and across time zones.