About the Role
JFrog is seeking an Associate Technical Product Marketing Manager with hands-on expertise in both AI infrastructure and application security. This role demands the ability to translate deep technical knowledge into compelling content, tools, and narratives that resonate with highly technical audiences. Sitting at the nexus of JFrog’s AI products (AI Catalog, MCP Registry) and security solutions, the successful candidate will operate credibly across both domains.
This position is crucial for extending the GTM strategy and market narrative developed by PMMs into technical proof, domain authority, and practitioner-level credibility, making JFrog's positioning defensible to security architects, ML engineers, and CISOs.
Responsibilities
- Accelerate market intelligence by tracking developments in the AI infrastructure landscape (agent skills, MCP frameworks, agentic architectures, model deployment patterns) and the security threat landscape (emerging attack vectors, regulatory shifts, new standards) to provide actionable insights for product and field teams.
- Scale technical authority by building and maintaining high-impact content, including architecture guides, threat model analyses, security framework mappings (NIST AI RMF, OWASP LLM Top 10, MITRE ATLAS), reference architectures, and hands-on product walkthroughs that practitioners trust.
- Amplify brand presence by representing JFrog at global technical conferences and producing deep-dive blogs and webinars that establish domain leadership.
- Drive competitive differentiation by partnering with CI teams to develop architectural teardowns and capability-level comparisons that win technical evaluations.
- Enable field success by creating security-focused battle cards, PoC guides, and technical objection handling, and demos that resonate with CISOs and architects.
- Drive sales success by serving as the technical resource for strategic deals, supporting RFP responses and security questionnaires, and helping the field articulate our AI and security capabilities to the buyers who scrutinize them most.
- Influence product evolution by translating practitioner feedback and market signals into technical requirements for the Product and Engineering roadmaps.
Requirements
- 2–3 years of experience in a technical, market-facing role such as Solutions Engineering, Security Research, or Technical Product Management.
- Hands-on experience in AI/ML infrastructure such as model development, building agents, running AI apps, etc.
- Deep technical knowledge of application security such as threat modeling, access governance, software supply chain risk, security controls, and how enterprises evaluate and procure security products.
- Proven ability to produce engaging technical content like architecture briefs, security mappings, and demo scripts.
- Exceptional communication skills with the ability to present and defend technical material to security architects and ML engineers.
- Bachelor’s degree in Computer Science, Engineering, Information Security, or a related technical field (or equivalent practical experience).