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About the role
AI-First Culture Experience: Proven experience working within an AI-first design environment, with a deep fascination for the technology and a track record of using LLMs and Generative AI to solve complex architectural problems.
● Technical Implementation & Tooling: Highly technical mindset with the ability to set up, maintain, and train the company on AI design tools that allow any department to generate on-brand designs independently.
● Design Democratization: Experience in building scalable systems and workflows that empower the broader organization to utilize AI tools while maintaining high UX standards and brand integrity.
● Experience: Minimum of 8+ years of experience in a web-based, product-centric company, with a proven background in SaaS products.
● Education: Bachelor’s degree or higher in Interaction Design, Human-Computer Interaction Design, or a related product design field.
● Leadership Milestones: Proven track record of driving and owning large-scale initiatives from concept to delivery, with the ability to section work for others and manage contractor teams.
● Strategic Ownership: Experience acting as an Outcome Owner, prioritizing for impact across a broad business theme and helping teams find clarity during transitions.
● Complex Problem Solving: Strong capability to understand complex data structures and provide design options on diverse hierarchies.
● Collaborative Style: A low-ego, highly collaborative approach, with success dependent on being self-motivated, organized, and open to rigorous feedback and peer-critique.
● Technical Design Proficiency:
○ Mastery of creating wireframes and interactive prototypes
○ Proficiency in thinking in non-linear terms to capture complex interactions, edge-cases, and various user states.
○ Experience with HTML and CSS for front-end prototyping to ensure technical feasibility.
● Domain Expertise: Knowledge of Identity and Access Management (IAM) or the Cybersecurity domain is a significant advantage.
● Research & Iteration: Experience with user research and data collection to guide design, with an emphasis on user testing and rapid iteration in an agile environment.
● Portfolio: A customer-centric portfolio representing your design process from initial concept to final deliverables, demonstrating deep problem-solving, user focus, and execution excellence.
More at Saviynt
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