Vice President, AI & Technology

🕒 September 18

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

👔 Vice President

👻 Ghost score 33%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Solen Software Group

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

💸 Finance

Consulting • Marketing • Finance

Solen Software Group is a permanent capital acquisition company that focuses on investing in and operating enduring software companies. With a mission to help leaders, teams, and organizations achieve their full potential, Solen invests in resilient software businesses and works closely with founders to propel growth through expertise in engineering, sales, marketing, finance, and operations. Solen emphasizes customer centricity and value creation and applies a proven playbook of strategies including digital transformation and artificial intelligence. They offer a quick and seamless acquisition process designed for long-term partnership and sustainable growth. Solen aims to be a steward of company culture and vision, valuing simplicity, discretion, and collaboration in its investments.

📋 Description

• 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

• 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