Account Manager Lead, US

Appier is an AI (Software- As - A- Service) SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information. 

About the role
We are seeking an Account Management Lead to be a player coach to support the US market. You will leverage your customer success experience in mobile app adtech to cultivate strong relationships with our new and existing clients and assist them in strategizing and planning digital marketing campaigns to meet their goals.

 

What you’ll do

• Utilize your account management experience to play a role in building and developing your accounts by strategizing and plan app performance marketing campaigns to meet client’s goal.
• Optimize and integrate campaigns to deliver on clients’ goals to boost revenue and engagement by timely delivery of work to clients and working across interdisciplinary teams across regions.
• Strategize with your team to identify key account growth opportunities with key stakeholders and facilitate client onboarding process and ensure all client onboarding adheres
• Supervise team to manage campaign launch and ongoing operations, including market research, troubleshooting, budget management, and reporting.

 

 

Who you are

• 2 years+ leadership experience managing a minimum 2 people team
• 3 years experience in mobile advertising, particularly, app installation and app re-engagement campaigns.
• 3 years experience in working with apps, RTB, DSPs, ad exchanges, aggregators, ad servers, and other optimization platforms.
• 3 years of relevant working experience in mobile app performance marketing.
• Excellent communication skills with the cross-region teams.
• Requires a combination of strong analytical (provide Campaign ROAS cohort report through pivot table, vlookup, etc.) and communication skills, with technical RTB programmatic buying understanding.

 

[Nice to have]

• Professional knowledge of terminology, trends, and concepts of Data and AI products.