Client Strategy Manager, Measurement
Ort: Anywhere - US Only · Bereich: Customer Success & Client Operations · Level: Mid-Level · Veröffentlicht: 26. Oktober 2026 · Geprüft: 27. Okt. 2026
Rollenübersicht & Beschreibung
Team-Wachstum & Marktbewegung von InMarket beobachten
Polaris7 aggregiert offene Vakanzen, strategische Marktbewegungen und M&A-Signale in Echtzeit. Erhalte automatische Signal-Briefings zu InMarket und vergleiche das Ökosystem mit direkten Wettbewerbern.
InMarket
inmarket.comStandortbasierte AdTech für Zielgruppen-Aktivierung und Real-World-Attribution.
Vollständiges Unternehmensprofil, Wettbewerber & Marktsignale zu InMarket freischalten
Ähnliche Positionen im DACH-Ökosystem
Verwandte Rollen und Profile aus dem AdTech-, Media- und Datenmarkt
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Weitere Positionen bei InMarket
3 weitere offene Stellen
This Sales Director - Measurement role sells InMarket's suite of location-derived measurement solutions to brands and agencies. The director manages assigned customer lists from prospecting to farming, collaborates with sales leadership, and maintains Salesforce for accurate projections. Requires prior sales experience at a location advertising or data company, experience selling measurement solutions, and existing client/agency relationships.
This Data Scientist role focuses on developing and deploying machine learning and causal inference models for InMarket's advertising measurement platform. The candidate will prototype and productionize solutions using Python, SQL, and cloud infrastructure (GCP/AWS), collaborating with product and engineering teams. Key responsibilities include expanding the attribution platform and applying Bayesian statistics and marketing mix modeling to drive ROI for clients.
This Senior Data Scientist role leads the development of advanced causal inference and machine learning solutions for InMarket's advertising measurement products. The candidate will own projects from research through production, leveraging Python, SQL, and cloud platforms (GCP/AWS) to build scalable attribution models. With 5+ years of experience, the role requires deep expertise in Bayesian statistics, marketing mix modeling, and agentic development tools to drive significant ROI improvements.
