AI / Machine Learning Engineer Leaders and Decision-Makers for Workflow Management Tools - Germany

Role overview An opportunity for senior AI and machine learning engineering leaders based in Germany to contribute to paid research projects studying workflow management tools and development processes. Participants join a vetted expert pool on a bench model, meaning access to studies depends on project demand and how well the professional profile matches, with rates reaching up to $200 per hour.

Responsibilities - Complete a paid screener so the research team can match background and seniority to specific upcoming studies. - Take part in AI-moderated interviews or written research tasks. - Fill out qualitative surveys and structured feedback activities. - Share insights about workflow management practices, tool selection criteria, and organizational needs within engineering, product, and design teams.

Requirements - Manager-level position or higher within software engineering, product management, or product or UX design. - Active involvement in evaluating, selecting, implementing, or managing workflow management tools. - Working familiarity with software development, product development, or design workflows. - Participation in purchasing decisions, tool selection, budgeting, or strategic recommendations for development and collaboration platforms. - Direct, hands-on experience with tools such as Jira, Linear, Azure DevOps, GitHub Projects, GitLab Issues or Boards, Shortcut, Asana, ClickUp, or Monday.com.

Benefits and work setup Remote, flexible task-based assignments typically requiring about one hour of uninterrupted work per study. Pay reaches up to $200 per hour depending on the research, and onboarding begins with a 10- to 15-minute skills assessment. Candidates based in Germany are eligible.