JFrog is looking for a Field CTO ML/AI to help enterprise customers adopt AI/ML solutions within their software supply chain, championing JFrog's ML vision and guiding them in managing, securing, and operationalizing AI/ML use cases.
Requirements
- 10+ years of experience in machine learning, AI infrastructure, or MLOps. ideally in enterprise environments.
- Deep familiarity with model lifecycle management, including training, deployment, versioning, and governance.
- Strong knowledge of DevOps, CI/CD, and cloud-native architectures (Kubernetes, Docker, Helm).
- Experience with ML tooling and platforms like MLflow, SageMaker, Vertex AI, Hugging Face, and LangChain.
- Understanding of AI security, compliance (e.g. SOC2, GDPR), and risk mitigation (e.g. model lineage, prompt injection, external model API control).
- Experience integrating ML/AI into DevSecOps and platform engineering strategies is highly desirable.
Responsibilities
- Act as a senior technical advisor and thought leader for our enterprise customers adopting AI/ML solutions within their software supply chain.
- Champion the JFrog ML vision, helping customers manage, secure, and operationalize ML/AI use cases.
- Guide technical validation and deployment of JFrog’s ML products in customer environments, including integrations with CI/CD pipelines, MLOps platforms, and enterprise governance frameworks.
- Partner with Sales, Product, and R&D to deliver feedback loops from the field that influence roadmap, positioning, and go-to-market efforts.
- Evangelize JFrog’s ML vision externally via industry events, webinars, and customer briefings. helping to shape how enterprises build and secure AI.
- Mentor solution engineers and technical teams on best practices for integrating AI into DevSecOps and platform engineering workflows.
- Support lighthouse customers, from pilot to scale, and create repeatable patterns that accelerate ML product adoption across verticals.
Other
- Lead executive-level conversations with CTOs, Heads of Data/ML, and security leaders to align on strategy and architecture for trustworthy AI adoption.
- Travel required - ability to travel at least 30-40%.
- Proven ability to bridge technical depth with executive presence in customer-facing roles.
- Strong track record of driving complex POCs and strategic customer projects in AI/ML.
- Ability to influence product direction through real-world insights and structured feedback.
- Excellent storytelling, communication, and presentation skills. Especially in front of technical and executive audiences.
- Passion for customer success and a deep belief in secure and responsible AI adoption.
- Comfortable navigating ambiguity and shaping new categories.
