Account Manager, Small and Medium Business Group (SMBG)

Meta

$90K — $130K *
Business Services
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in sales, account management, or business development.
  • Bachelor's degree required.
  • Ability to navigate ambiguous and rapidly changing environments with agility.
  • Experience in team settings with a focus on customer satisfaction and meeting deadlines.
  • Strong skills in data analysis and strategic planning to achieve business objectives.
  • Proven record of collaborative success with cross-functional teams.

Responsibilities

  • Manage and grow a portfolio of client accounts to meet sales targets and maintain customer satisfaction.
  • Identify upsell and cross-sell opportunities, designing strategic business initiatives based on client needs.
  • Use data insights and AI to inform strategic decisions and enhance client recommendations.
  • Educate clients on product solutions, driving adoption of Meta's advertising offerings.
  • Collaborate with multiple teams to craft solutions aligned with client goals.
  • Oversee the sales process from beginning to end, utilizing tools like CRM for effective pipeline management.

Benefits

  • Comprehensive health and wellness plans.
  • Flexible work arrangements with a focus on work-life balance.
  • Opportunities for professional development and skill enhancement.
  • Collaborative and innovative team culture.
  • Access to cutting-edge technologies and resources.
Full Job Description
Responsibilities

Manage and develop a portfolio of client accounts, achieving and meeting sales targets and performance metrics, ensuring high levels of customer satisfaction
• Identify upselling and cross-selling opportunities, and create targeted business strategies, through customer strategic planning, operational rigor and sales acumen
• Responsible for harnessing data insights to inform strategic decision-making, leveraging the power of AI and automation to deliver tailored client recommendations, and adoption of Meta's products
• Educate clients on product solutions and best practices to drive the adoption of Meta's proven value solutions, thereby enhancing and growing existing business partnerships
• Collaborate with cross-functional teams to design and implement solutions that align with client objectives
• Drive sales process from scoping to closure, executing end-to-end pipeline management with operational rigor, leveraging tools such as CRM to drive business outcomes

Minimum Qualifications
• 10+ Years of experience in sales, account management, or business development sectors
• Bachelor's Degree
• Proven ability to navigate ambiguous and rapidly changing environments, demonstrating flexibility and a growth mindset in response to new challenges and opportunities
• Experience working in team-based environments with a customer-centric approach, balancing competing deadlines and business goals
• Experience leveraging data analysis, problem-solving, and strategic planning skills to translate business objectives into actionable plans
• Proven track record of working collaboratively with cross-functional teams, sharing knowledge and expertise to drive collective success and achieve business outcomes

Preferred Qualifications
• Experience collaborating with cross-functional teams and managing key internal stakeholder relationships to effectively support customer needs
• Proven technical skills (Excel, Google Suite or data analytics tools)
• Experience in Sales, Enterprise or Advertising industries
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Familiarity with Meta's suite of advertising solutions
• Advanced degree in a relevant field, or certifications in account management, project management
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

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