About Us:
Zenity is the leader in AI Agent Security and the first company to bring an agent-centric security platform to market. As enterprises accelerate AI agent adoption, we are establishing the security framework for how AI agents are secured and governed at enterprise scale.
We deliver full-lifecycle visibility, governance, detection, prevention, and response for AI agents from build time to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $180M+ in total funding, including a $125M Series C led by Norwest, with participation from SoftBank Vision Fund 2 and Microsoft's M12, Zenity is trusted by Fortune 500 and Global 2000 enterprises worldwide.
join us in shaping how AI agents are secured at enterprise scale.
About the Role:
Zenity is looking for a Software Architect to lead the technical evolution of our next-generation AI cybersecurity platform. You'll work across teams to solve the company's most challenging architectural problems while remaining deeply hands-on - building prototypes, validating new technologies, and helping engineering teams deliver production-ready solutions. The role requires both deep engineering expertise and the ability to shape the architecture of large-scale data, cloud, and AI systems that power our platform.
What You’ll DoResponsibilities:
- Partner with engineering teams to solve complex architectural and technical challenges, leading the design of scalable, secure, and maintainable systems.
- Build and validate proofs of concept (PoCs) to evaluate new architectures, data platforms, AI capabilities, and emerging technologies.
- Drive technical direction across engineering, product, and data science, turning new technologies into production-ready solutions.
- Lead architecture and design reviews, ensuring scalability, reliability, security, and operational excellence.
- Mentor engineers through hands-on collaboration, code reviews, and system design discussions while promoting AI-native engineering practices.
Requirements:
- 7+ years in a senior technical leadership role (Principal Architect, Staff Engineer, Lead Engineer, or equivalent), with a strong track record designing and delivering large-scale distributed systems and cloud-native architectures in production.
- Strong background in cybersecurity and secure system design, including cloud security principles and enterprise compliance frameworks; experience in SaaS or cybersecurity products is a significant advantage.
- Deep, hands-on experience with AWS, GCP, or Azure, and strong expertise in Kubernetes and containerized environments, with the ability to design for scale while maintaining simplicity and cost awareness.
- Strong background in modern data platforms, streaming architectures, and complex event processing for large-scale, real-time workloads.
- Hands-on experience integrating GenAI capabilities into production systems - RAG pipelines, agentic workflows, or LLM-based integrations - and familiarity with AI-native engineering practices, including coding agents.
- Experience designing multi-tenant SaaS platforms with strong isolation and scalability, and excellent communication skills to influence architecture across engineering, product, and data science.
Skills Required
- 7+ years in a senior technical leadership role such as Principal Architect, Staff Engineer, or Lead Engineer
- Experience designing and delivering large-scale distributed systems and cloud-native architectures in production
- Strong background in cybersecurity and secure system design
- Knowledge of cloud security principles and enterprise compliance frameworks
- Hands-on experience with AWS, GCP, or Azure
- Strong expertise in Kubernetes and containerized environments
- Experience with modern data platforms, streaming architectures, and complex event processing
- Hands-on experience integrating GenAI capabilities into production systems, including RAG, agentic workflows, or LLM integrations
- Familiarity with AI-native engineering practices, including coding agents
- Experience designing multi-tenant SaaS platforms with strong isolation and scalability
- Excellent communication skills for influencing architecture across engineering, product, and data science
- Experience in SaaS or cybersecurity products
Zenity Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zenity and has not been reviewed or approved by Zenity.
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Fair & Transparent Compensation — Pay is considered competitive and generally favorable, with indications that totals can be strong for key roles. While volume of signals is limited, sentiment toward compensation trends positive.
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Strong & Reliable Incentives — Go-to-market roles appear to feature robust variable compensation and high on-target earnings. Role and location differences are evident, which can shape incentive outcomes.
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Equity Value & Accessibility — Equity is routinely referenced as part of offers, indicating broad eligibility consistent with growth-stage startups. This points to accessible upside potential alongside cash compensation.
Zenity Insights
What We Do
Zenity is the first security and governance platform purpose-built for AI agents - spanning SaaS, home grown platforms (Cloud), and end-user devices (Endpoint). Trusted by Fortune 500 enterprises, Zenity helps security teams confidently adopt AI by delivering defense in depth with full-lifecycle coverage: from agent discovery and posture management to real-time detection, prevention, and response. As enterprises adopt Microsoft Copilot, Salesforce Agentforce, AWS Bedrock, and developer tools like GitHub Copilot, Zenity eliminates blind spots and enforces consistent policy across environments so organizations can innovate with AI, without compromising security. Learn more at www.zenity.io.
