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Product Designer

Sama đŸ‡©đŸ‡Ș Germany

Contract Mid-level

You will own the end-to-end design process for product features, from discovery to delivery, while ensuring brand consistency across marketing and sales assets. This involves collaborating with product managers and engineers to create intuitive user experiences and evolving the company's design system.

Responsibilities

  • You will own the end-to-end design process for product features, from discovery to delivery, while ensuring brand consistency across marketing and sales assets. This involves collaborating with product managers and engineers to create intuitive user experiences and evolving the company's design system.

Requirements

  • The ideal candidate has 3-5 years of professional experience in product design, preferably within a SaaS environment. You must possess a strong portfolio demonstrating user-centered design, proficiency in Figma, and the ability to work autonomously in a startup setting.

Benefits

  • Professional coaching
  • Training and development
  • Remote work

Key Skills

Figma User‑Centered Design Design Systems Prototyping Wireframing Visual Aesthetics SaaS Product Design Responsive Web Design Mobile Design Collaboration with Product Managers Collaboration with Engineers Brand Consistency Landing Page Design Sales Asset 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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