VP of AI Engineering

🕒 October 12

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 25%

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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Wonderly

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

☁️ SaaS

Marketing • SaaS

Wonderly is a vertically-focused marketing, sales, and operations platform designed for home services and remodeling businesses (HVAC, landscaping, roofing, remodeling, electrical contractors). It bundles website building and hosting, multi-channel marketing (Meta, Google, Local SEO, direct mail, billboards, Reddit, cold calling), lead intake and booking, AI receptionist and chatbots, CRM, VoIP business phone, unified inbox, AI lead automation, AI call recording and sales coaching, dispatch and closing tools, quotes, e-signatures, invoicing and payments, reviews and customer reengagement tools. Wonderly combines services and software, offering fully managed marketing and AI agents and charges only a revenue share—free until it delivers paying customers. The product targets scaling businesses aiming for $5M–$10M+ in revenue, promising rapid deployment (30–48 hours) and integrated systems previously available only to large franchises.

📋 Description

• 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

• 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

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