Jonas Software

Jonas Software is a leading provider of enterprise management software solutions, serving a wide range of vertical markets including hospitality, healthcare, construction, education, personal care, fitness, leisure, moving and legal services, to name a few. Jonas is comprised of over 65 distinct brands, each a respected leader in its domain. Jonas’ vision is to be the branded global leader across these verticals and to be recognized by customers and industry stakeholders as the trusted provider of “Software for Life.” Committed to technology, product innovation, quality, and exceptional customer service. Supports over 60,000 customers in more than 30 countries. Employs over 6,000 skilled professionals, including industry experts and technology specialists. Headquartered in Canada with a global footprint and offices around the world. A 100% owned subsidiary of Constellation Software Inc., based in Toronto, publicly listed on the TSX (CSU.TO), and a member of the S&P/TSX 60 Index.

VP, Technology and R&D – AI-DLC Transformation Leader

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteTeam 1,001-5,000H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

6 days ago

Salary

Not specified

English

Job Description

• Own AI delivery from intake/data readiness through evaluation, deployment, monitoring, and iteration • Ensure privacy, security, auditability, model/vendor risk controls, and human-in-the-loop use • Drive architecture, data/integrations, QA automation, reliability, and secure engineering (CI/CD, testing, observability) • Partner with Product/President to ship measurable, usable, trustworthy capabilities • Hire and develop a strong engineering/data/ML org with clear standards and accountability • Improve predictability, capacity planning, tech debt management, and alignment with Services/Support

Job Requirements

  • Senior leadership experience in engineering/R&D (VP/Head/Director+)
  • Demonstrated AI delivery experience in a commercial product environment (LLM and/or ML)
  • Experience evolving engineering organizations toward AI-enabled product development (AI-DLC, ML lifecycle practices, or similar)
  • Strong system design and architecture capabilities (data, integrations, security, reliability)
  • Track record of improving delivery throughput and quality (CI/CD, QA automation, observability, incident management)
  • Executive-level communication skills with the ability to translate technical strategy into clear business priorities and drive alignment across leadership teams

Benefits

  • Significant autonomy and impact
  • President-level mandate that explicitly supports change

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