Fractional CTO

The organization is spinning out an internally built sponsorship intelligence platform that automates reporting and provides predictive, AI-driven campaign insights. The team seeks a hands‑on fractional CTO to professionalize the product’s technical foundation, strengthen security and compliance for enterprise prospects, and position the platform to scale as a standalone SaaS business. This role is mission‑critical to convert enterprise opportunities, build technical credibility, and lay the groundwork for future engineering growth. Responsibilities Rapidly assess the existing codebase and architecture; identify critical risks and produce a prioritized remediation plan Implement security and compliance controls required for enterprise evaluation (data protection, access controls, auditability) Harden deployment and operations: CI/CD, observability, incident response, backups, and recovery Validate and optimize data pipelines, partner integrations, and analytics workflows for reliability and accuracy Advise on and prototype predictive/AI features to ensure sound data science engineering practices and production readiness Join client and prospect technical conversations with BI, data, and analytics stakeholders to answer technical questions and build trust Define a technical product roadmap and short‑term milestones that enable enterprise deals and scale Recommend team structure, hiring priorities, and tooling needed to transition from fractional leadership to a permanent engineering organization Provide hands‑on code review, pair‑programming, and technical mentorship during the engagement Qualifications Proven experience as a hands‑on CTO, fractional CTO, or senior engineering leader for early‑stage SaaS or spinout products Strong software architecture and code review skills across web/backend, data pipelines, and analytics stacks Demonstrated experience implementing enterprise security and compliance controls (for example, SOC 2 readiness, data governance, and access controls) Practical knowledge of cloud infrastructure on major cloud providers, CI/CD, observability, and production operations Experience with data engineering, BI integrations, and deploying predictive/ML features into production Comfortable presenting to and collaborating with business, BI, and analytics stakeholders at enterprise customers Track record of defining technical roadmaps, scaling engineering teams, and hiring/prioritizing technical talent Flexible, part‑time/fractional availability with the ability to start within a few weeks and adapt to evolving weekly commitments #J-18808-Ljbffr Go Fractional