About the Role

We are seeking a hands-on, execution-focused VP of Innovation to join one of our key portfolio companies. Reporting directly to the CTO, you will lead a specialized technical team (DevOps & Senior Developers) tasked with the company’s most critical modernization initiatives.

This is a "Player-Coach" role. We are not looking for a theoretical strategist or a pure people manager. We are looking for a senior technologist who has deep experience navigating legacy codebases, migrating on-premise operations to the public cloud, and architecting modern Generative AI solutions.

You will act as a catalyst for change, driving technical excellence and increasing the company's enterprise value by modernizing our stack.

Key Responsibilities

Infrastructure Modernization (Data Center to Cloud)

• Lead the Migration: Architect and execute the migration of product and backend tools from legacy data centers to a public cloud environment ([AWS/Azure/GCP]).
• Modernize Operations: Transition from legacy hosting to modern, containerized architectures (Docker/Kubernetes) and implement robust CI/CD pipelines.
• Infrastructure as Code: Enforce IaC best practices using tools like Terraform or Ansible to ensure environments are reproducible and scalable.

Generative AI Implementation

• Build & Deploy: Go beyond the hype by identifying high-ROI use cases for GenAI. You will architect and build solutions involving LLMs, RAG (Retrieval-Augmented Generation), and Vector Databases.
• Internal Tooling: Develop AI-driven tools to increase developer efficiency and automate backend operational workflows.
• AI Governance: Establish technical standards for API usage, data privacy, and cost management for AI integration.

Technical Leadership

• Manage the "SWAT" Team: Lead a lean, high-output team of DevOps engineers and Full-Stack Developers.
• Hands-on Coding: Actively contribute to code reviews, architectural decisions, and critical development tasks. You will be expected to get your hands dirty.
• Change Management: Bridge the gap between legacy engineering practices and modern cloud-native workflows, mentoring existing staff and raising the bar for engineering quality.