VP of Engineering

Counterpart

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

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.

Skills & tools

AISystem ArchitectureSOC 2HIPAA

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 0112+ years of engineering leadership
  2. 02Experience with company-stage transitions
  3. 03Deep technical fluency in system architecture
  4. 04Experience leading distributed teams
  5. 05Knowledge of AI-native engineering
  6. 06Experience in regulated industries
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