VP of Engineering

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

👮‍♀️ Software Engineering Manager

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Riva Scientific

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Riva Scientific is a company that offers innovative solutions in the Life Sciences and Biotechnology sectors, as well as Information Technology services. They provide a comprehensive range of products and services including managed services, strategic consulting, and staffing solutions tailored to the unique challenges faced by Pharmaceuticals and Technology companies. Riva Scientific specializes in laboratory automation, software validation, custom application development, and staffing, helping clients navigate complex regulatory environments and improve operational efficiencies.

📋 Description

• Lead engineering organizations through multiple company-stage transitions • Engage with the board, investors, and executive leadership • Define and shape AI-native engineering practices, organization design, and software-delivery economics • Provide technical direction on system architecture, AI and data infrastructure, and deployment pipelines • Enable business growth through technology by building new capabilities and improving underlying systems • Balance product delivery with sustainable, scalable technical foundations • Lead fully distributed engineering teams with high trust and high accountability • Build compliance requirements into systems and engineering processes

🎯 Requirements

• 12+ years of engineering leadership experience • Experience leading engineering organizations through multiple company-stage transitions • Experience operating at a scale requiring engagement with the board, investors, and executive leadership • Strong point of view on AI-native engineering and how AI changes engineering roles, organizations, and software-delivery economics • Ability to defend opinions on the direction of the industry and distinguish hype from reality • Deep technical fluency in system architecture, AI and data infrastructure, and deployment pipelines • Customer empathy and product sense • Experience leading fully distributed teams with high trust and high accountability • Experience in regulated industries such as insurance, fintech, healthcare, or similar is a strong plus • Understanding of compliance requirements including SOC 2, HIPAA, and state cybersecurity regulations