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Open nowFirst seen 29 hours ago

Sr. Software Engineer

Zenity27 open roles

Where
NYC
Work mode
Hybrid
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Your applicationOpen nowSr. Software EngineerZenity · NYC

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Zenity's own form.

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. Zenity postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 29 hours ago

Zenity median: 1 days open

The posting

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 & Hiring Manager (Jonathan Naor):

I joined Zenity for the opportunity to be at the forefront of securing AI agents at scale. As a leader, I value ownership and transparent, cross-functional collaboration. We move at startup speed with high technical standards, so I look for people who are proactive, customer-obsessed, and unafraid to challenge the status quo - while still keeping the journey fun. This role plays a critical part in our next phase of growth. You'll join 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 up to 3 days in the office in NYC.

What You’ll Do

Responsibilities:

  • 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

Requirements:

  • 5+ years of experience, with proven ability to build - not just maintain - systems, processes, and relationships, and an ownership mindset with accountability for outcomes.
  • Expertise with modern programming languages such as Python/C#/Java/Go/TypeScript/JavaScript.
  • Experience working on large-scale services based on AWS/Azure/GCP.
  • Advanced proficiency with AI coding agents, including skills, rules, etc.
  • Comfort operating in evolving, fast-moving, high-growth or venture-backed startup environments.
  • Strong communication and collaboration skills, and a passionate team player.

Interview Process

Our interview process is designed to be transparent, conversational, and focused on real-world experience.

  1. Recruiter Screen (30 minutes) -An introductory phone conversation to learn more about Zenity, the role, and your background.
  2. Assessment: Problem Solving Question
  3. 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.
  4. Director of Engineering Interview (30–45 minutes)- Zoom interview discussion focused on technical depth and expertise.
  5. VP of R&D Interview (30 minutes)- Zoom interview to align on expectations and execution.
  6. 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 - $250,000, depending on experience, skills, and location. In addition to base compensation, this role may be eligible for equity and performance-based incentives.

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