Fetch

Fetch

Partner Manager, Mid-Market

USA · Mid · Full-time

Sponsorship not specified$103k-$109kDetected 33 days ago
SalesforceCRMSalesForecastingResearchCommunicationPublic Speaking

About the role

  • About the Role The Partner Manager supports client outreach/prospecting and proposals, and ensures that Fetch deliverables align with partner needs. This role contributes directly to revenue through individual and pod quota ownership. As a seller at Fetch, you'll support the sales cycle from outreach through close, learning how to identify opportunities,
  • craft proposals, and build trusted relationships. You'll partner with Account Managers to expand partnerships and collaborate with senior team members to refine your approach. You are also expected to begin leveraging AI-enabled tools to accelerate learning, support research, and drive efficiency in prospecting, meeting prep, pipeline hygiene, and campaign

Responsibilities

  • You'll partner with Account Managers to expand partnerships and collaborate with senior team members to refine your approach.

Nice to have

  • This role contributes directly to revenue through individual and pod quota ownership.
  • This is a full-time role that can be held from one of our US offices or remotely in the United States.

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 $ 103,000 - $108,500, and the on-target earnings (OTE) range is $ 154,500 - $162,750. (This does not include accelerators or sales plan incentive funds, which employees may also be eligible for).

Benefits

  • We also offer all employees equity in Fetch.
  • As a seller at Fetch, you'll support the sales cycle from outreach through close, learning how to identify opportunities, craft proposals, and build trusted relationships.
  • 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.