Vice President, AI & Technology

Solen Software Group

. Serve as the portfolio's subject matter expert on AI and evaluate emerging technologies, models, frameworks, and market trends .

Posted 9/18/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI transformation and the establishment of AI-first software development lifecycles, while leading organizational strategy and technical execution across multiple software businesses. Capable of recruiting and developing technical talent, guiding technical roadmaps, and implementing standards for architecture and engineering quality.

Highest-signal resume keywords

AI Transformation LeadershipAI-First Software Development LifecycleTechnical Roadmap GuidanceTalent Development and RetentionTechnical Due Diligence

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI EvaluationSoftware Development LifecycleOrganizational DesignTechnical ExecutionArchitecture StandardsEngineering QualityScalability AssessmentAI Tooling ImplementationProduct StrategyIntegration Strategies

Soft Skills

InnovationAccountabilityContinuous ImprovementCoachingLeadership

Industry Keywords

AI-Native ProductsMarket TrendsPortfolio ManagementTechnology GovernanceOperational Efficiency

About the role

Key responsibilities & impact

Serve as the portfolio's subject matter expert on AI and evaluate emerging technologies, models, frameworks, and market trends
Define and execute the portfolio-wide AI strategy with the Portfolio Leader
Transform engineering organizations into AI-native teams through organizational, workflow, and delivery-model redesign
Establish an AI-first Software Development Lifecycle across planning, development, testing, documentation, deployment, and support
Evaluate and implement AI tooling to improve engineering productivity, software quality, customer experience, and operational efficiency
Drive AI adoption across engineering, product, customer support, sales, and internal operations
Establish portfolio-wide standards for architecture, security, infrastructure, engineering quality, and technology governance
Guide technical roadmaps across portfolio companies
Prioritize technology investments with executive leadership
Standardize engineering metrics, tooling, and best practices while preserving business flexibility
Lead engineering organizational strategy across the portfolio
Recruit, develop, coach, and retain technical talent and leaders
Make organizational design, hiring, succession planning, and performance management decisions
Foster innovation, accountability, speed, and continuous improvement
Identify and build standalone AI-native products and companies
Evaluate market opportunities, product strategy, commercialization plans, and investment priorities
Lead technical execution for new AI ventures from concept through launch
Create reusable AI capabilities for portfolio companies and external markets
Lead technical due diligence for prospective acquisitions
Assess engineering organizations, architecture, security, technical debt, scalability, and AI readiness
Develop integration strategies for acquired businesses
Accelerate post-acquisition modernization and alignment with portfolio technology standards

Requirements

What you’ll need

Demonstrated technology leadership across multiple software businesses and portfolio companies
Experience driving AI transformation and implementing AI-first development practices
Experience modernizing engineering teams, organizational structures, roles, workflows, and delivery models
Expertise evaluating emerging AI technologies, models, frameworks, and market trends
Experience establishing AI-first software development lifecycles
Experience evaluating and implementing AI tooling
Experience establishing standards for architecture, security, infrastructure, engineering quality, and technology governance
Experience guiding technical roadmaps for scalability, modernization, and maintainability
Experience recruiting, developing, coaching, and retaining technical talent and leaders
Experience with organizational design, hiring, succession planning, and performance management across engineering organizations
Experience identifying and launching standalone AI-native products and companies
Experience with product strategy, commercialization plans, and investment priorities
Experience leading technical execution from concept through launch
Experience leading technical due diligence for prospective acquisitions
Experience assessing engineering organizations, architecture, security posture, technical debt, scalability, and AI readiness
Experience developing technology integration strategies and post-acquisition modernization
Willingness and ability to operate as a strategic, hands-on technology, product, operations, and venture-creation leader