About Us
Zenity is the first and only holistic platform built to secure and govern AI Agents from buildtime to runtime. We help organizations defend against security threats, meet compliance, and drive business productivity. Trusted by many of the world’s F500 companies, Zenity provides centralized visibility, vulnerability assessments, and governance by continuously scanning business-led development environments. We recently raised $38 million in a Series B funding, solidifying our position as a leader in the industry and enabling us to accelerate our mission of securing AI Agents everywhere.
About The Role
You will architect and build a scalable data platform from scratch, engineering high-throughput, low-latency pipelines that drive real-time security analytics and AI-powered systems. As a key member of the Data & AI Algorithms group, you will collaborate with AI/ML engineers, data scientists, and security researchers to design production-grade infrastructure at scale. This role requires strong ownership, systems thinking, and the agility to operate in a fast-moving environment.
What You’ll Do
- Build ML infrastructure to support scalable, low-latency production deployment of data & AI models.
- Ensure availability, reliability, and performance of mission-critical data infrastructure
- Define and promote best practices for data modeling, orchestration, CI/CD, and infrastructure-as-code
- Collaborate cross-functionally to enable data-driven product capabilities
Qualifications
- 6+ years of hands-on experience building and operating data systems at scale
- Production experience with big data frameworks such as Apache Flink, Kafka Streams, or similar distributed data processing systems.
- Hands-on experience with modern data lakes and open table formats as Apache Iceberg
- Strong Python programming skills
- Strong CI/CD and infrastructure-as-code capabilities
- Experience with cloud-native data services such as AWS EMR, Athena, Azure Data Explorer
- Familiarity with orchestration tools such as Airflow, Kubeflow, Dagster, or similar
- Excellent communication skills with a strong ownership and problem-solving mindset
- Experience in data modeling
- Experience with stream processing systems (Kafka, Flink) and large-scale batch architectures
Skills Required
- 6+ years of hands-on experience building and operating data systems at scale
- Production experience with big data frameworks such as Apache Flink, Kafka Streams, or similar
- Hands-on experience with modern data lakes and open table formats as Apache Iceberg
- Strong Python programming skills
- Strong CI/CD and infrastructure-as-code capabilities
- Experience with cloud-native data services such as AWS EMR, Athena, Azure Data Explorer
- Familiarity with orchestration tools such as Airflow, Kubeflow, Dagster, or similar
- Excellent communication skills with a strong ownership and problem-solving mindset
- Experience in data modeling
- Experience with stream processing systems (Kafka, Flink) and large-scale batch architectures
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.
