Vice President, AI & Technology

Solen Software Group

1d•Remote

About The Position

The Vice President of AI & Technology will serve as the technology leader across Solen Software Group's growing portfolio of software businesses. This role partners directly with the Portfolio Leader to drive AI transformation, engineering excellence, technology strategy, and innovation. The position 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. The VP will also 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.

Requirements

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.
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.
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.
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.
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.

Nice To Haves

Experience in Human Resource Technology, Fleet Telematics, Asset Management, E-Health, or Document Management.
Experience with evergreen holding companies or private equity.
Proven track record of building and scaling software businesses.
Experience with M&A diligence and integration.

Responsibilities

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.
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.
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.
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.
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.