Client Engineering
Build close to the people who use the software: turn customer processes, systems, and needs into AI operations that teams can monitor and improve.
Explore the team ↗Careers at Starya
We connect artificial intelligence, software, and data to real business problems. We want to meet people who enjoy building with depth and following the results of their work.
Where you can contribute
Build close to the people who use the software: turn customer processes, systems, and needs into AI operations that teams can monitor and improve.
Explore the team ↗Turn operational lessons into product capabilities: connect engineering, research, design, and quality to create reusable experiences and capabilities.
Explore the team ↗Build the foundations for operating and growing: usable data, reliable infrastructure, and protection embedded in the work of every team.
Explore the team ↗Opportunities and talent pool
Explore the roles, understand the challenges, and find where your experience can make a difference.
6 roles found
Clear filtersProduct Engineering
Develop AI methods and evaluations that guide release and evolution at scale, with traceability, quality, and control for operations in regulated environments.
Product Engineering
Develop people and guide the technical evolution of NebulaOS, turning operational needs into capabilities that different customers can adopt and the team can maintain.
Product Engineering
Design the operational experience of NebulaOS so people can configure agents and workflows, monitor executions, and intervene with clarity when a situation requires a human decision.
Product Engineering
Lead discovery, priorities, and adoption for NebulaOS, connecting operational problems to product choices and results that users and teams can recognize.
Product Engineering
Build quality evidence for NebulaOS, combining automation, investigation, and AI evaluation to verify journeys, authorization, and effects on integrated systems.
Product Engineering
Deepen your Backend, Frontend, or Full-stack practice in NebulaOS, building services and experiences that let people configure, monitor, and intervene in AI operations.