Principal Engineer
Ort: USA · Fully remote · Bereich: Engineering & Softwareentwicklung · Level: Lead · Veröffentlicht: 30. Oktober 2026 · Geprüft: 30. Okt. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von Kovva beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu Kovva und vergleiche das Ökosystem mit direkten Wettbewerbern.
Kovva
kovva.aiKovva ist ein KI-gestützter Assistent für plattformübergreifende Media-Buying-Operationen im digitalen Marketing.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu Kovva freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
This role leads AI engineering initiatives, architecting and building scalable AI systems. It requires deep expertise in machine learning frameworks, cloud infrastructure, and hands-on coding leadership.
This role focuses on building and maintaining the AI platform infrastructure at Invesco, ensuring scalability and reliability. The Principal Engineer will lead technical initiatives, design robust systems, and collaborate with data science teams to support AI workloads.
This principal engineering role involves leading technical projects, setting architectural direction, and mentoring engineers. The engineer will work on complex systems, ensuring high performance and scalability across the platform.
This role involves leading the design and architecture of agentic AI systems that power Supermetrics' AI-driven marketing intelligence platform. The engineer will work on complex systems, integrating AI agents with data pipelines and ensuring scalability and reliability. This is a senior technical leadership position focused on building the core AI infrastructure.
Weitere Positionen bei Kovva
1 weitere offene Stelle
This role deploys Kovva's AI agents for media buying teams, working closely with customers to ensure successful implementation and adoption. Responsibilities include customizing solutions, troubleshooting, and gathering feedback to improve the product, leveraging AI/ML technologies and integration with advertising platforms.
