Magellan AI

• Respond to client questions through email and support channels • Set up measurement for campaigns across advertisers, agencies, and publishers • Monitor performance and troubleshoot issues before they affect reporting • Lead Zoom trainings to help clients navigate the platform and understand their campaign performance • Build spreadsheets that simplify complex datasets for reporting and insights • Support QA efforts to make sure the data going to clients is accurate • Partner with the rest of the team to improve processes as our client base grows

• Be responsive to client support requests via email and support channels • Set up and maintain measurement for campaigns across advertisers, agencies, and publishers • Monitor campaigns for alerts, exceptions, and data inconsistencies • Troubleshoot issues and help resolve them before they affect client reporting • Support Measurement Success Managers with day-to-day measurement and client needs • Build and maintain spreadsheets to analyze large datasets and support client reporting • Lead Zoom-based client trainings and onboarding sessions • Play a key role in quality assurance, ensuring the data delivered to clients is accurate • Partner with teammates to improve workflows and processes as our client base grows

• Own revenue growth across a defined set of publisher and agency accounts by increasing measurement adoption and usage • Identify and pursue opportunities to expand measurement within existing accounts • Lead product demos and measurement conversations, and own the measurement narrative in client discussions • Lead campaign performance reviews, helping clients interpret results and communicate a strong performance story • Work directly with decision-makers and build relationships with agency stakeholders to expand adoption • Develop account maps to identify high-potential advertisers and growth opportunities • Run trainings, education sessions, and client-facing initiatives to increase platform usage • Equip client-facing teams to confidently use measurement in their sales process • Explore opportunities to integrate Magellan AI data into client workflows and systems • Prioritize time and focus on opportunities that drive the highest revenue impact

• Prioritize initiatives across new features, client needs, and system reliability • Identify patterns in support tickets and product usage to surface high-impact improvements • Capture feedback from Sales and Customer Success and translate them into roadmap priorities • Manage the product backlog and planning boards so engineering time stays focused on the highest-impact work • Write clear product specifications, epics, and tickets for new features • Define acceptance criteria and surface key product decisions so developers can execute efficiently • Work with engineering to break down larger initiatives into MVP releases and iterative improvements • Coordinate feature launches with Customer Success and Marketing, including documentation and client communication • Lead QA for new features and bug fixes to ensure releases work as intended and avoid unintended downstream impacts • Improve and organize help documentation and product education resources

• Perform regular quality checks on data • Review and clean up output from our machine learning platform for clients • Support the operations/customer success teams with various projects and client needs