×
Register Here to Apply for Jobs or Post Jobs. X

Chief AI Officer

Job in Ogden, Weber County, Utah, 84403, USA
Listing for: Solen Software Group
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Solen-isms (Our cultural rocks)

Job Title: Chief AI Officer / AI Enablement Lead (Vertical Market Software)

Company: Solen Software Group

Location: Multiple locations (Toronto, Utah or Lisbon)

Employment Type: Full-time

About Solen Software Group

Solen Software Group is an evergreen holding company that acquires and operates proven software businesses that have significant growth potential in a variety of vertical markets, enabling them to be market leaders in their niche industry. Solen owns several software companies in various market spaces:
Human Resource Technology, Fleet Telematics, Asset Management, E-Health, Document Management, and other innovative software solutions in a variety of industries. Solen is backed by a group of advisors and investors that have built software businesses of material scale (10-100M in ARR) and advised many.

About This Opportunity

As our Chief AI Officer you will be responsible for identifying, scaling, and operationalizing practical AI use cases across a portfolio of vertical market software (VMS) businesses. This role emphasizes ROI-driven AI adoption, product enhancement, internal efficiency, and repeatable AI patterns that can be deployed across multiple operating companies—while respecting decentralized ownership and autonomy. This is not a centralized R&D role.

Success is measured by measurable business impact, speed to value, and adoption at the operating company level.

Responsibilities
  • AI Strategy & Value Creation
  • Define and execute a portfolio-wide AI strategy aligned with long-term value creation, customer retention, and operational efficiency.
  • Identify high-impact AI use cases across products and internal functions (e.g., pricing, customer support, forecasting, churn reduction, compliance, and workflow automation).
  • Prioritize AI initiatives based on ROI, feasibility, data readiness, and repeatability across verticals.
  • Product & Platform Enablement
  • Partner with operating company product leaders to embed AI into existing VMS products (not rebuild them).
  • Develop shared AI patterns, frameworks, and reference architectures that can be reused across portfolio companies.
  • Support build vs. buy decisions for AI tools, models, and platforms.
  • Operating Company Support (Decentralized Model)
  • Act as a trusted advisor to CEOs, CTOs, and product leaders at portfolio companies.
  • Enable adoption without imposing centralized control; influence through frameworks, playbooks, and proven results.
  • Provide hands-on support for early AI pilots and transitions to production.
  • Data, Governance & Risk
  • Establish pragmatic AI governance standards covering data privacy, security, model risk, and regulatory compliance (e.g., SOC 2, GDPR where applicable).
  • Ensure AI solutions are explainable, auditable, and appropriate for mission-critical software environments.
  • Promote responsible AI use consistent with customer trust and long-term ownership values.
  • Talent & Capability Building
  • Build internal AI literacy across the portfolio through training, playbooks, and best practices.
  • Support hiring, evaluation, and development of AI-related talent at the operating company level.
  • Partner with engineering and analytics teams rather than creating a large centralized AI org.
  • Success Metrics
  • Tangible EBITDA impact or cost savings from AI initiatives
  • Product adoption and customer value realized from AI-enabled features
  • Repeatable AI use cases successfully deployed across multiple portfolio companies
  • Speed from idea → pilot → production
  • Operating company satisfaction and voluntary adoption
Qualifications
  • 5+ years experience in software, data, analytics, or AI-related roles, ideally in B2B SaaS or vertical market software
  • Proven experience delivering production AI solutions with measurable business outcomes
  • Strong understanding of modern AI/ML approaches (LLMs, predictive models, automation, analytics), without over-indexing on hype
  • Experience working in decentralized, multi-company, or PE-backed environments
  • Ability to translate technical concepts into business value for non-technical leaders
Nice to have
  • Experience in vertical market software (ERP, industry-specific SaaS, mission-critical systems)
  • Background in product…
Position Requirements
5+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)

Job Posting Language
Employment Category
Education (minimum level)
Filters
Education Level
Experience Level (years)
Posted in last:
Salary