Enterprise Staffing & Talent Solutions Director

LinkedIn; San Francisco (CA); Hybrid; USD 213,000 - 325,000; Full time

Job summary

LinkedIn is seeking a Large Enterprise Account Director for the Talent Solution team to drive revenue by engaging staffing customers across LinkedIn’s ecosystem. You’ll become a staffing expert, build cross-functional relationships, and execute strategic territory plans to exceed revenue targets.

The role requires strong SaaS sales experience, industry knowledge, and the ability to use data to inform decisions. Hybrid work model with collaboration across product and marketing teams is expected.

Qualifications

• 8+ years of applicable sales experience.
• Experience with SaaS sales or recruitment media and technology products.
• Experience working in the recruitment consulting or staffing industry.
• Ability to develop compelling strategies that deliver results.
• Excellent communication, negotiation and forecasting skills.
• Demonstrated ability to find and manage high-level business in an evangelistic sales environment.
• Ability to gather and use data to inform decision making and persuade others.
• Ability to assess business opportunities and read prospective buyers.

Responsibilities

• Drive revenue by multi-threading deep and wide within your customers.
• Become a staffing industry expert.
• Establish and leverage exceptional relationships across internal cross-functional teams.
• Develop and execute on a strategic plan for the territory and create reliable forecasts.
• Listen to the needs of the market and share with product and marketing teams.

Skills

Negotiation

Relationship Building

Account Planning

Forecasting

Job description

LinkedIn is seeking a Large Enterprise Account Director for the Talent Solution team to drive revenue by engaging staffing customers across LinkedIn’s ecosystem. You’ll become a staffing expert, build cross-functional relationships, and execute strategic territory plans to exceed revenue targets.

The role requires strong SaaS sales experience, industry knowledge, and the ability to use data to inform decisions. Hybrid work model with collaboration across product and marketing teams is expected.