zaimler

zaimler

Chief of Staff at Govra (General Catalyst backed)

San Francisco, CA · Exec

Sponsorship not specified$68k-$82kDetected 90 days ago
Product StrategyOKRsCustomer Success

About the role

  • She will pick the best candidates from Jack's network.
  • I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.
  • And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire.

Responsibilities

  • Design and execute high-priority strategic projects across the organization to ensure scalable GTM and customer success operations.
  • Partner with the CEO to drive company strategy, set OKRs, and manage internal feedback loops to influence the product roadmap.
  • Build and refine internal systems and processes to maintain operational excellence during a period of rapid national expansion.
  • Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.

Requirements

  • The ideal candidate:

Nice to have

  • Has 6+ years of experience in Tier 1 consulting, investment banking, or operations at a high-growth startup.
  • Demonstrates an exceptional ability to communicate and influence stakeholders ranging from technical teams and investors to government officials.
  • Possesses a fierce bias to action and a deep personal mission to improve the efficiency and modernization of government systems.

Compensation

  • $68k-$82k

Company info

  • Govra - General Catalyst backed intelligence platform
  • This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
  • The next step is to speak to Jack https://jackandjill.ai/jobs/chief-of-staff-at-govra-general-catalyst-backed-46d09531-0e43-4b68-82f2-5d0b530eb7f8?utm_source=linkedin&utm_medium=job_post&utm_campaign=featured_role_46d09531-0e43-4b68-82f2-5d0b530eb7f8.

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