Fractional CTO
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-10-02
Listing for:
Go Fractional
Part Time
position Listed on 2026-10-02
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
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
- 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
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