VP of Engineering

Counterpart

WorldwideFully remoteFull TimeExecutiveInformation Technology
No salary statedPosted 2w ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 19 days ago · apply link checked 1 hour ago

About the role

Responsibilities

  • Lead a flat-by-design engineering organization and evolve how it scales using AI agents
  • Own the technical vision, engineering operations, and people strategy
  • Partner with the CEO and product managers to refine software building processes in an AI-native world
  • Manage resource allocation across competing initiatives and maintain technical coherence
  • Oversee infrastructure including developer experience, AI and data platforms, and system infrastructure
  • Manage hiring, performance, compensation, and talent development
  • Ensure systems meet reliability, observability, and security standards (SOC 2, HIPAA, NYC Cybersecurity)

Requirements

  • 12+ years of engineering leadership experience through multiple company-stage transitions
  • Proven track record of engaging with boards, investors, and executive leadership
  • Strong perspective on AI-native engineering and the economics of software delivery
  • Deep technical fluency in system architecture and deployment pipelines
  • Experience leading fully distributed teams with high accountability
  • Experience in regulated industries such as insurance, fintech, or healthcare

Benefits

  • Fully remote workplace with work-from-anywhere flexibility
  • Unlimited vacation and no working birthdays
  • Stock options and 401(k) retirement plan
  • Health, dental, and vision coverage
  • Home office allowance and wellness stipend
  • Professional development reimbursement and book stipend

About the Company

Counterpart is building the first AI-native insurance company, pairing leading insurance experts with cutting-edge technology to empower small business owners to grow with confidence.

What we look for

  • 12+ years of engineering leadership
  • Experience with company-stage transitions
  • Deep technical fluency in system architecture
  • Experience leading distributed teams
  • Knowledge of AI-native engineering
  • Experience in regulated industries
AISystem ArchitectureSOC 2HIPAA
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