Client Solutions Manager, Ecommerce

Meta Meta · Big Tech · Bangalore, India

Client Solutions Manager for Meta's e-commerce vertical, focusing on advising large advertisers on campaign strategy, optimization, and leveraging data and AI tools to drive measurable outcomes on Meta platforms. Requires performance marketing, account management, and understanding of AI tools for workflow optimization and ethical AI practices.

What you'd actually do

  1. Work with top companies to understand their business objectives and develop the Meta strategy in partnership with the Client Partner, which will constitute building on insights, crafting media plans, page strategy, creative and measurement recommendations
  2. Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients
  3. Manage planning, execution, ongoing reporting and optimization of campaigns (oversee budget spend, manage internal analytics and dashboards, provide optimization and real time targeting recommendations)
  4. Manage Analytics and dashboards to advise clients (e.g. daily client facing data/insights reporting, understanding performance across hundreds of accounts used by client, setting up pipelines to pull conversion and impression data, etc.)

Skills

Required

  • performance marketing
  • account management
  • consultative depth
  • analytical skills
  • client KPI's
  • solution-oriented
  • cross-functional partnerships
  • client relationships
  • AI tools to optimize/redesign workflows
  • AI skill development
  • prompt/context engineering
  • agent orchestration
  • responsible, ethical AI practices

Nice to have

  • Ecommerce Industry understanding
  • ad tech/online marketing technologies
  • digital marketing
  • Meta advertising solutions

What the JD emphasized

  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)