Manager I, Client Account Manager, tvScientific (Affiliate/CPA)

About tvScientific

We are the first CTV advertising platform purpose-built for performance marketers. For game developers and publishers, we bridge the gap between massive TV reach and granular User Acquisition (UA) metrics. Built by ad-tech veterans, our platform combines media buying, optimization, and MMP attribution to help gaming brands automate CTV campaigns, drive app installs, and maximize Return on Ad Spend (ROAS).

About the Role

Join the tvScientific team as a Senior Account Manager, where you'll lead strategic client relationships, drive revenue growth, and ensure client success on our cutting-edge platform.

Responsibilities

• Lead and manage a portfolio of key client accounts, spanning various industries including retail, leisure, and tech-adjacent sectors.
• Launch, serve, and optimize campaigns for clients, ensuring maximum ROI and campaign success.
• Proactively pick up the phone and engage in meaningful conversations with customers and agencies about digital media, including CTV advertising.
• Develop and execute strategic account plans to drive revenue growth, retention, and expansion opportunities within existing client accounts.
• Identify and capitalize on upsell and cross-sell opportunities, leveraging your digital media and advertising experience to maximize revenue potential.
• Collaborate closely with internal teams, including sales, product, and support, to ensure seamless execution of client campaigns and initiatives.
• Monitor and analyze campaign performance metrics, providing insights and recommendations to optimize client campaigns and drive superior results.
• Act as a trusted advisor to clients, providing expert guidance, industry insights, and best practices to help them achieve their advertising objectives.
• Stay informed about industry trends, market dynamics, and competitive landscape to anticipate client needs and proactively address challenges.
• Provide mentorship and support to junior account management team members.
• Use AI to speed up optimizations: Leverage AI tools to quickly spot performance drivers and issues (e.g., ROAS trends, creative fatigue, pacing) and turn them into clear optimization actions for clients.