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Product Design Strategist
Remote / Online - Candidates ideally in
Milpitas, Santa Clara County, California, 95035, USA
Listed on 2026-10-15
Milpitas, Santa Clara County, California, 95035, USA
Listing for:
Wal-Mart
Full Time, Remote/Work from Home
position Listed on 2026-10-15
Job specializations:
-
IT/Tech
UI/UX Design, Product Designer
Job Description & How to Apply Below
Position: Product Design Strategist (Job No. 793233)
Location: Milpitas, CA (Position is eligible for 100% remote work, from anywhere in the United States, reporting to the company headquarters at 1601 McCarthy Blvd, Suite R-5, Milpitas, CA 95035)
Duration: Full-time, regular employment: 40 hrs./wk. (9:00 AM to 5:00 PM)
Rate: at least $164,320 per year
Job Duties- Lead the design and implementation of an AI-powered product platform, including both the core software interfaces(web and mobile) and customer-facing marketing websites.
- Coordinate across design, engineering, and AI development teams to align feature development with product goals, user needs, and business strategy.
- Conduct user research and competitive analysis to define product requirements, prioritize features, and shape intuitive user journeys.
- Create wireframes, interactive prototypes, and high-fidelity UI designs using Figma.
- Translate product and design concepts into functional web applications using low-code/no-code platforms such as Bubble.io and Streamlit.
- Manage the end-to-end product development lifecycle: define scope, set timelines, track progress, and facilitate communication between stakeholders.
- Collaborate with AI engineers to design user interfaces that make AI-driven outputs (e.g., recommendations, insights, or content generation) understandable and actionable.
- Develop and maintain the platform's brand identity system, including logos, style guides, and tone-of-voice documentationto ensure consistent communication across touchpoints.
- Build and optimize marketing websites and landing pages to support user acquisition and onboarding.
Position requires, at minimum, a U.S. Master's degree in Computer Science, Information Technology, or a related quantitative field.
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