Riva Scientific
Riva Scientific
Riva Scientific supports pharmaceutical, biotechnology, life sciences, and technology organizations with consulting, managed services, and staffing solutions. Its work includes laboratory automation, software validation, custom application development, and technology services designed to address complex regulatory and operational needs. The company brings together expertise across life sciences and information technology to help clients improve processes, implement specialized systems, and manage projects that require both technical and industry knowledge.

VP of Engineering, United States Remote

Lead distributed engineering organizations through company-stage transitions while defining AI-native architecture and delivery economics. Shape compliant systems and engineering practices for an IT services company.

Aprašymas

  • Guide engineering organizations through successive stages of company growth
  • Partner with the board, investors, and executive leadership
  • Establish AI-native engineering practices, organizational design, and software-delivery economics
  • Set technical direction for system architecture, AI and data infrastructure, and deployment pipelines
  • Support business growth by developing new capabilities and strengthening core systems
  • Balance product delivery with durable, scalable technical foundations
  • Manage fully distributed engineering teams with strong trust and accountability
  • Embed compliance requirements into systems and engineering workflows

Reikalavimai

  • At least 12 years of experience leading engineering teams
  • Track record of guiding engineering organizations through multiple company-stage transitions
  • Experience working at a scale that involves the board, investors, and executive leadership
  • A well-developed perspective on AI-native engineering and AI’s impact on engineering roles, organizations, and software-delivery economics
  • Ability to substantiate industry viewpoints and separate meaningful developments from hype
  • Advanced technical fluency in system architecture, AI and data infrastructure, and deployment pipelines
  • Strong customer empathy and product judgment
  • Experience managing fully distributed teams with high trust and accountability
  • Experience in regulated sectors such as insurance, fintech, healthcare, or comparable industries is a strong advantage
  • Understanding of compliance frameworks and regulations including SOC 2, HIPAA, and state cybersecurity requirements

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