Vice President, AI & Technology

Job Title: Vice President, AI & Technology 
Company: Solen Software Group
Location: US
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 the role

The Vice President of AI & Technology will serve as the technology leader across our growing portfolio of software businesses, partnering directly with the Portfolio Leader to drive AI transformation, engineering excellence, technology strategy, and innovation.

This role is responsible for transforming portfolio companies into AI-native organizations by modernizing engineering teams, implementing AI-first development practices, and identifying new technology-enabled growth opportunities. Beyond overseeing existing technology organizations, the VP will help incubate new AI-native businesses, support M&A diligence and integration, and establish portfolio-wide standards for engineering, security, architecture, and technology operations.

This is a highly strategic, hands-on leadership role that blends technology, product, operations, and venture creation.

Key Responsibilities

AI Strategy & Transformation

• Serve as the portfolio’s subject matter expert on AI, continuously evaluating emerging technologies, models, frameworks, and market trends.

• Partner with the Portfolio Leader to define and execute the portfolio-wide AI strategy.

• Lead the transformation of engineering organizations into AI-native teams by redesigning organizational structures, roles, workflows, and delivery models.

• Establish an AI-first Software Development Lifecycle (SDLC), embedding AI throughout planning, development, testing, documentation, deployment, and support.

• Evaluate and implement AI tooling that improves engineering productivity, software quality, customer experience, and operational efficiency.

• Drive AI adoption across engineering, product, customer support, sales, and internal operations where appropriate.

Technology Leadership

• Establish portfolio-wide standards for architecture, security, infrastructure, engineering quality, and technology governance.

• Guide technical roadmaps across portfolio companies to ensure scalability, modernization, and long-term maintainability.

• Partner with executive leadership to prioritize technology investments that create measurable customer and enterprise value.

• Standardize engineering metrics, tooling, and best practices while allowing flexibility for individual business needs.

Engineering & Talent Leadership

• Lead engineering organizational strategy across the portfolio.

• Recruit, develop, coach, and retain exceptional technical talent and leaders.

• Make organizational design, hiring, succession planning, and performance management decisions across engineering organizations.

• Foster a culture of innovation, accountability, speed, and continuous improvement.

AI Venture Creation

• Identify opportunities to build standalone AI-native products and companies that leverage the portfolio’s expertise and distribution channels.

• Partner with the Portfolio Leader to evaluate market opportunities, product strategy, commercialization plans, and investment priorities.

• Lead technical execution from concept through launch for new AI ventures.

• Create reusable AI capabilities that can be deployed across multiple portfolio companies while also serving external markets.

Mergers & Acquisitions

• Lead technical due diligence for prospective acquisitions.

• Assess engineering organizations, architecture, security posture, technical debt, scalability, and AI readiness.

• Develop technology integration strategies for newly acquired businesses.

• Accelerate post-acquisition modernization and alignment with portfolio technology standards.

What Success Looks Like

• Engineering organizations operate as AI-native teams.

• Development velocity and software qualit…