Fetch

Fetch

Senior Partner Director, Retail

USA · Director · Full-time

Sponsorship not specified$175k-$190kDetected 46 days ago
SalesforceCRMSalesForecastingLeadershipCommunicationPublic Speaking

About the role

  • This role contributes directly to revenue through individual and pod quota ownership.
  • You will set the standard for AI-driven selling using advanced tools for executive storytelling, predictive modeling, competitive position, and long-range planning.
  • You'll mentor others while shaping AI-enabled strategies and processes.

Responsibilities

  • As a seller at Fetch, you'll own complex sales cycles from outreach through close, identify opportunities, craft proposals, and build trusted executive-level relationships.
  • You'll partner with Account Managers to expand partnerships and collaborate with senior team members to refine your approach.

Skills

  • ChatGPT, Gemini AI) or automation tools (ex.

Compensation

  • At Fetch, we offer competitive compensation packages to the exceptional folks we hire.
  • The base salary range for this position is $175,000 - $189,500 and the on-target earnings (OTE) range is $306,250-$331,625. (This does not include accelerators or sales plan incentive funds, which employees may also be eligible for).
  • About the Role The Senior Partner Director, Retail expertly drives client outreach/prospecting and proposals, and actively works to convert new and existing partners to long-term strategic partnerships.
  • This role contributes directly to revenue through individual and pod quota ownership.
  • As a seller at Fetch, you'll own complex sales cycles from outreach through close, identify opportunities, craft proposals, and build trusted executive-level relationships.
  • You'll partner with Account Managers to expand partnerships and collaborate with senior team members to refine your approach.

Benefits

  • We also offer all employees equity in Fetch.
  • Discover our benefits at https://fetch.com/careers.

This listing is sourced directly from Fetch's careers page and normalized into a canonical job model.