Ad Ops Account Specialist

ABOUT THE COMPANY

Teikametrics' AI-powered Marketplace Optimization platform help sellers and brand owners to maximize their potential on the world's most valuable marketplaces. Founded in 2015, Teikametrics uses Proprietary AI technology to maximize profitability in a simple SaaS interface. Teikametrics optimizes more than $8 billion in GMV across thousands of sellers around the world, with brands including Munchkin, mDesign, Clarks, Nutribullet, Conair, Nutrafol, and Solo Stove trusting Teikametrics to unlock the full potential of their selling and advertising on Amazon, Walmart and other marketplaces.

Teikametrics continues to grow exponentially, with teams spanning 3+ countries. We are financially strong, continuously meeting or exceeding revenue targets, and we invest heavily in strengthening the foundation of our organization.

ABOUT THE ROLE

As an Ad Ops Account Manager, your core role involves optimizing advertiser accounts on platforms like Amazon and Walmart  (and any new channels that we will expand to in future) to meet their advertising goals, ensuring top-notch support at Teikametrics. You'll also have chances to lead complex projects, conduct in-depth analysis, test internal tools, and share insights with our product and engineering teams.

• Collaborate with internal US based Customer Success Managers (CSM) to understand the customer’s advertising KPIs and expectations from the program.
• Reviewing every customer account in the portfolio in detail to understand the current level of performance. Manage Campaign set up, optimization and reporting tasks of Search & Display campaigns across Amazon, Walmart platforms (and any new platforms in future)Flawless execution of end-to-end account optimization.
• Analyzing account performance against key metrics to identify, recommend and implement optimization solutions to increase efficiency and meet clients’ KPIs. 
• Monitoring campaign delivery and troubleshoot discrepancies.
• Monitoring and communicating campaign progress through regular, in-depth activity reports and insights, and then using this knowledge as a basis for future campaigns. 
• Working with Account Management, Sales & Marketing and Product teams to identify and solve issues blocking advertiser performance. 
• Identifying opportunities to improve our advertising product based on customer feedback, data analysis, and feature gaps with competitive products.

• Have 1-2 years prior experience working on Amazon/ Walmart ad optimization processes
• Bachelor's degree with certifications/specialization in digital advertising/marketing. 
• Superior verbal and written communication skills. Advanced computer literacy especially in Microsoft Office applications – Excel, Access, Word and PowerPoint. 
• Experience in data analysis, either professional experience or through your education. 
• Desire to work in a fast-paced, challenging environment. 
• Demonstrated high attention to detail and proven ability to manage multiple, competing priorities simultaneously. 
• Must be willing to work in shifts to cater to global markets. 
• Must have managed global clients along with owning individual performance goals.
• Passionate about online business, e-commerce and Sales/Onboarding support.

• Every Teikametrics employee is eligible for company equity
• Remote Work – flexibility to work from home or from our offices + remote working allowance
• Broadband reimbursement 
• Group Medical Insurance – Coverage of INR 7,50,000 per annum for a family 
• Crèche benefit
• Training and development allowance

Press Reference about Teika

Teikametrics’ Marketplace Optimization Platform, Flywheel 2.0, Adds AI-Powered Automation to Maximize Advertising Performance Across Marketplaces

The job description is representative of typical duties and responsibilities for the position and is not all-inclusive. Other duties and responsibilities may be assigned in accordance with business needs. We are proud to be an equal opportunity employer. A background check will be conducted after a conditional offer of employment is extended. #LI-Remote