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Wonderly

VP of AI Engineering

Wonderly

. Guide Wonderly's engineering organization .

Posted 10/12/2026full-timeRemote • United States, CanadaLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in engineering strategy and software development lifecycle practices, particularly in the context of AI technologies. Capable of leading engineering organizations while balancing innovation with operational excellence and customer safety.

Highest-signal resume keywords
Engineering StrategySoftware Development Lifecycle (SDLC)AI TechnologiesTechnical LeadershipOperational Excellence

ATS Keywords

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Applicant Tracking System Keywords

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Soft Skills
Passion for TinkeringAbility to Balance Innovation and Safety
Industry Keywords
AI-native EraEnterprise-grade SoftwareInternal ToolsProduction SystemsMeasurable Business Outcomes

Tech Stack

Tools & technologies
SDLC

About the role

Key responsibilities & impact
  • Guide Wonderly's engineering organization
  • Develop and shape the company's engineering strategy and roadmap for the AI-native era
  • Define and evolve software development lifecycle practices in the age of AI
  • Lead technical excellence across internal tools and production systems
  • Advance Wonderly's enterprise-grade internal software factory
  • Use internal tools as a semi-production environment to experiment with architectural and AI coding decisions
  • Position the company to adopt emerging AI technologies while maintaining production quality
  • Tie technology decisions to measurable business outcomes and customer revenue and profit
  • Balance experimentation with operational excellence and customer safety

Requirements

What you’ll need
  • Technologist at heart with a demonstrated passion for tinkering and building new projects
  • Keeps up with technology and follows technology talks
  • Explores new ways of building for the craft
  • Able to work startup hours
  • Experience guiding engineering organizations
  • Deep understanding of engineering strategy
  • Strong opinions about the software development lifecycle (SDLC) and how it changes in the age of AI
  • Deeply practical approach to technology and business problems
  • Ability to balance AI's transformative potential with the current limitations of AI-generated software
  • Authorized to work in the US or Canada

Benefits

Comp & perks
  • Diverse and inclusive workplace
  • Equal opportunities
  • No surprise fees or gotchas for customers (company compensation model description)