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The Product Manager will oversee outcomes product suite, connecting media exposure to business results through data integrations, methodologies, and client reporting while ensuring product scalability and success metrics.

Lead the identity infrastructure and data connectivity strategy at Samba, collaborating with teams to enhance audience targeting and data interoperability.

Own the full sales cycle for SambaTV's advertising and analytics solutions: prospect, pitch, negotiate, close, and scale relationships with brands and agencies. Collaborate cross-functionally to deliver campaigns, meet quotas, develop proposals, and represent Samba at events while growing regional market presence.

The Product Manager will lead OEM platform integrations, manage certification programs, and drive strategic initiatives for Samba TV's technology across devices, ensuring high-quality deployment and collaboration with engineering teams and partners.

Senior commercial leader responsible for owning EMEA P&L, building and leading a revenue organization, winning new logos and partnerships, expanding accounts across Samba's product suite, defining go-to-market strategy, and representing Samba with senior clients and industry bodies.

Lead the international product strategy by evaluating market expansion, ensuring product alignment with international needs, and fostering cross-functional collaboration to drive results.

The Growth Marketing Manager will oversee campaign creation and execution for B2B marketing, coordinating across various channels and teams to meet pipeline goals while using data for strategic decision-making.

The Senior IT Manager oversees IT operations across multiple disciplines, managing system administration, device management, identity access, network infrastructure, and security compliance for West Coast offices.

Lead the education and delivery of Samba TV's measurement suite to brand and agency partners, drive strategic insights, and influence product evolution.

The Data Scientist role involves developing measurement models, writing production-quality code in Python, and collaborating with teams to optimize data pipelines and ML workflows.