Field Chief Technology Officer, JFrog
ML/AI
$210-225k
+ An equity package of restricted stock units
More information about location
Software supply chain platform
Be an early applicant
Software supply chain platform
1001+ employees
Be an early applicant
$210-225k
+ An equity package of restricted stock units
More information about location
1001+ employees
Company mission
To transform the way enterprises manage and release software updates, with liquid software that flows continuously and automatically from build all the way through to production.
Role
Who you are
- 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
- 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
What the job involves
- If you’re passionate about ML/AI, believe in secure and governed AI adoption, and thrive at the intersection of innovation and customer impact, this role is for you
- 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
- Lead executive-level conversations with CTOs, Heads of Data/ML, and security leaders to align on strategy and architecture for trustworthy AI adoption
- 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
Our take
Although people expect their software to be updated continually, unobtrusively and securely, in practice this isn't often the case. JFrog was founded in 2008 with a mission to change the way companies release software updates, providing an automation-first platform for collaborative DevOps.
While there are other collaborative DevOps platforms in the market, such as Docker Hub, Azure DevOps and Kubernetes, JFrog stands out with its use of REST APIs to automate the development pipeline, and its combination of DevOps and DevSecOps (development security) in a single platform. This has helped JFrog grow a client base of thousands of companies, which includes firms such as Dell, Netflix, Facebook and the majority of the Fortune 100.
JFrog has enjoyed rapid growth throughout the wider slowdown in the tech sector. It has been focusing on its security product since its acquisition of IoT security specialists Vdoo in 2021, and this has culminated in strong sales for its recently-released security product. It will continue to focus on developing its product and is on track to achieve its aim of becoming the de-facto standard for update management.
Freddie
Company Specialist at Welcome to the Jungle
Insights
17% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2018
$165m
SERIES D
Jan 2016
$50m
SERIES C
Total funding: $226.5m
Company benefits
- Employee Stock Purchase Plan
- Medical, dental & vision
- Retirement, wellness and much more!
Company HQ
Sunnyvale, CA
Leadership
Shlomi Ben Haim
(CEO)Is a member of the Forbes Technology Council. Was previously CEO of AlphaCSP Java Experts and a Major in the Israeli Air Force.
Yoav Landman
(CTO)Was previously Senior Consultant with AlphaCSP and a Senior Developer at Attunity, Verve Inc and Sausage Software.
Fred Simon
(Chief Architect)Was Founder of AlphaCSP. Before that was Developer with Bouygues and SGT.
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