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ZenitySales
Sales Engineer
United StatesPosted today
The role involves owning the presales technical motion for Zenity, a leader in AI Agent Security, partnering with Account Executives to drive evaluations, influence deal strategy, and help customers understand the value of AI Agent Security. It is suitable for someone with experience in cybersecurity or technical B2B SaaS, with strong application security knowledge.
Location: United States
Responsibilities
- Partner with Account Executives to drive the technical side of the sales cycle — from discovery through evaluation and close
- Lead technical discovery to understand customer environments, risks, and existing security and development tooling
- Deliver tailored demos that connect Zenity’s capabilities to real customer use cases and priorities
- Guide proof-of-value (POV) engagements by defining success criteria and helping customers validate outcomes
- Support technical validation, including security reviews, architecture discussions, and objection handling
- Clearly articulate Zenity’s value to both technical (security, engineering) and business stakeholders
- Contribute to deal strategy, including qualification, competitive positioning, and closing plans
- Help build and refine repeatable presales assets, demo environments, and technical messaging
- Represent Zenity externally through customer conversations, webinars, and security community engagement
Requirements
- Experience in a Sales Engineering or Solutions Engineering role within cybersecurity or highly technical B2B SaaS
- Strong understanding of application security (AppSec) and modern development environments
- Ability to navigate complex enterprise environments and engage with security and engineering stakeholders
- Strong communication and presentation skills across technical and non-technical audiences
- Ability to translate technical concepts into clear business value
- Comfort operating in fast-paced, evolving environments with a high degree of ownership
- Experience supporting enterprise sales cycles and influencing deal outcomes
- Exposure to AI, low-code/no-code platforms, or emerging development technologies
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