Vice President Of Engineering, Ux/commercial Applications

Natera

Remote, USA
$239,000—$310,800 usd py
**
Distributed systems and cloud-native architectures
Scalable, highly available platforms
Modern web stacks (apis, react, typescript, services)
** Natera is seeking a Vice President of Engineering for their UX/Commercial Applications, responsible for leading a large engineering team focused on enhancing commercial software platforms. The role emphasizes improving engineering execution, driving AI integration, and ensuring high standards in product development. **

Job Summary

  • Natera is seeking a Vice President of Engineering, UX/Commercial Applications to lead a 100+ person engineering organization responsible for our commercial software platforms.
  • This leader will focus on strengthening execution, raising engineering standards, and advancing AI-enabled product and development capabilities.
  • The scope includes patient and provider portals, EMR integrations, internal service systems, omni-channel communications, billing and revenue platforms, and AI-powered chat and voice automation.

Matching Summary

Match Score: 75

** Natera is seeking a Vice President of Engineering for their UX/Commercial Applications, responsible for leading a large engineering team focused on enhancing commercial software platforms. The role emphasizes improving engineering execution, driving AI integration, and ensuring high standards in product development. **

Salary

$239,000—$310,800 USD

Skills & Requirements

Must-have

  • Distributed systems and cloud-native architectures
  • Scalable, highly available platforms
  • Modern web stacks (APIs, React, TypeScript, services)
  • AI-enabled product and development capabilities
  • Generative AI across patient and provider workflows

Nice-to-have

  • Low-ego, calm, pragmatic, and decisive
  • Raising standards without bureaucracy
  • Fast-paced, growth environments

Key Requirements

  • 15+ years of software engineering experience
  • 6+ years leading large engineering organizations (50-150+ engineers)
  • Strong technical depth in cloud-native distributed systems (AWS preferred)
  • Experience deploying AI/ML or GenAI solutions in production
  • Track record of improving execution, quality, and engineering effectiveness

Work Rights

Not specified

Tailored Resume

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