Sr. Software Engineer at Zenity

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

01 Aug, 26

Salary

235000.0

Posted On

03 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, Java, Go, TypeScript, JavaScript, System design, GenAI, Copilots, Cloud computing, AWS, Azure, GCP, AI agent security, Enterprise readiness, Cross-functional collaboration

Industry

Computer and Network Security

Description

About the Role & Hiring Manager (Jonathan Naor) I joined Zenity because of the opportunity to join a company who’s at the front of securing AI agents at scale. As a leader, I value ownership, transparent communication, and cross-functional partnership. We move with startup speed and high technical standards, so I look for proactive engagement, an obsession with customer success, and the ability to thoughtfully challenge the status quo while keeping the journey fun and insightful. This role plays a critical part in our next phase of growth. You’ll take part in a new team responsible for the company’s enterprise readiness and partner integrations, directly influencing how large enterprises secure and govern AI agents. This role requires at least 2 days in the office in NYC. About Zenity 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 buildtime to runtime, across SaaS, home-grown platforms, and end-user devices. Backed by $55M+ in funding, including a $38M Series B with strategic investment from Microsoft’s M12, Zenity is trusted by Fortune 500 enterprises globally. Join us in shaping how AI agents are secured at enterprise scale. What You’ll Do Assume ownership of existing features and make them enterprise ready. Build GenAI & Copilots security solutions for enterprise customers. Collaborate cross-functionally with product, engineering, sales, and customer teams. Contribute to scaling Zenity’s platform, processes, and customer success. Requirements Passionate team player with minimum 5 years of experience. Expertise with modern programming languages such as Python/C#/Java/Go/TypeScript/JavaScript. Proven ability to build, not just maintain; systems, processes, and relationships. Comfort operating in evolving, fast-moving startup environments. Strong communication and collaboration skills. Ownership mindset with accountability for outcomes. Experience in high-growth or venture-backed environments. Advanced proficiency with AI coding agents, including skills, rules, etc. Experience working on large-scale services based on AWS/Azure/GCP Interview Process Our interview process is designed to be transparent, conversational, and focused on real-world experience. Recruiter Screen (30 minutes) -An introductory phone conversation to learn more about Zenity, the role, and your background. Assessment: Problem Solving Question Hiring Manager Interview (60 minutes) – A deeper discussion about your technical background. The conversation will be about system design and the problem solving question you completed. Director of Engineering Interview (30–45 minutes)- Zoom interview discussion focused on technical depth and expertise. VP of R&D Interview (30 minutes)- Zoom interview to align on expectations and execution. People Team Interview (30 minutes) – A Zoom conversation focused on collaboration, work style, and alignment. Compensation The expected base salary range for this role is $180,000 - $235,000, depending on experience, skills, and location. In addition to base compensation, this role may be eligible for equity and performance-based incentives.

Responsibilities

You will assume ownership of existing features to ensure they are enterprise-ready and build security solutions for GenAI and Copilots. Additionally, you will collaborate cross-functionally to scale the platform and support customer success initiatives.