Hebe dich für diese Rolle von der Masse ab — erstelle in etwa einer Minute einen maßgeschneiderten Lebenslauf und ein Anschreiben.
Jobtailor seeks to lead the design and delivery of data-intensive, AI-native control-plane and telemetry experiences. You will translate complex distributed-system concepts into usable product primitives, build workflows for agent-driven work, and create visualizations that reveal state, relationships, and anomalies.
You will decide what tasks go to agents vs humans, establish auditability patterns, and prototype interaction models for scalable production systems with a strong usability focus.
Own and build core control-plane and telemetry experiences, from domain models, events, and APIs through the user-facing product
Translate distributed-system concepts such as state, dependencies, policy, identity, lineage, orchestration, failure, and recovery into clear product primitives and interactions
Develop workflows for agent-executed work, including intent expression, permission enforcement, activity observation, outcome explanation, auditing, and reversal
Create information-rich visualizations for state, change over time, relationships, anomalies, causality, and uncertainty
Decide what should be done by an agent, what requires human judgment, and what belongs in a graphical interface, API, or programmable surface
Define patterns for human oversight, review, exception escalation, and durable auditability
Prototype interaction models, test them against technical constraints, and bring strong ideas into production systems
Shape architecture and product direction through working software, technical judgment, and usability focus
Demonstrates expertise in building control-plane and telemetry experiences, with a strong focus on data-intensive and distributed systems. Proficient in AI-native engineering practices and human-in-the-loop design, ensuring clarity and usability in complex data environments.