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Product Designer

Sama 🇪🇸 Spain

Contract Mid-level

Lead end-to-end product design from discovery to delivery, creating intuitive user experiences and maintaining the design system. Additionally, collaborate with marketing and sales to create brand-consistent assets like landing pages and sales decks.

Responsibilities

  • Lead end-to-end product design from discovery to delivery, creating intuitive user experiences and maintaining the design system. Additionally, collaborate with marketing and sales to create brand-consistent assets like landing pages and sales decks.

Requirements

  • Requires 3-5 years of professional product design experience, preferably in SaaS and start-up environments. Proficiency in Figma and a strong portfolio demonstrating user-centered design and visual aesthetics are essential.

Benefits

  • Remote work
  • Professional coaching via app
  • Regular training and development
  • Growth opportunities

Key Skills

Figma User‑Centered Design Design Systems Prototyping Wireframing Visual Aesthetics SaaS Product Design Responsive Web Design Mobile Design Collaboration with Marketing Collaboration with Sales Brand Consistency Landing Page Design Sales Deck Design Communication Stakeholder Management Agile Methodology Design Thinking Problem Solving User Research Usability Testing Typography Color Theory Interaction Design Rapid Iteration

About Sama

What Does Sama Do Sama gets your AI project to production—and helps you stay there. Sama is chosen by high-performing GenAI and CV teams across the full AI development lifecycle, combining expert services with reliable execution that scales—delivering results, dependable datasets, and continuity even as things change. Our services cover the full AI lifecycle: ● Data Strategy & Consulting – Aligning data needs to model goals, defining quality standards, and setting the foundation for faster, more confident development ● Annotation & Labeling – Using full-time, domain-trained teams with built-in QA to deliver precise, production-ready training data. ○ Annotation Workflows: Validation, Classification, Tagging, Enrichment ○ GenAI Workflows: Prompt Engineering, RAG embedding, Retrieval-Augmented Generation (RAG), Content Moderation & Filtering… ● Model Evaluation – Scoring, ranking, and validating model outputs through structured, rubric-based evaluation and human-in-the-loop review We

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