Sr. Software Engineer

Zenity

$180K — $235K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Minimum 5 years of experience in a relevant field.
  • Advanced proficiency with AI coding agents.
  • Expertise in programming languages such as Python, C#, Java, Go, TypeScript, or JavaScript.
  • Proven ability to build systems and processes, not just maintain them.
  • Experience with large-scale services on cloud platforms like AWS, Azure, or GCP.
  • Strong communication and collaboration skills.
  • Ownership mindset focused on accountability for results.

Responsibilities

  • Assume ownership of existing features to ensure enterprise readiness.
  • Develop security solutions for enterprise customers using GenAI and Copilots.
  • Collaborate with product, engineering, sales, and customer teams to meet objectives.
  • Contribute to scaling processes to enhance customer success.
  • Drive initiatives that improve how large enterprises govern AI agents.

Benefits

  • Collaborative and innovative workplace culture.
  • Opportunities for professional growth in a high-tech environment.
  • Flexible work hours with a requirement of 2 days in the office.
  • Participation in a critical phase of company growth.
  • Ownership of impactful projects that influence enterprise strategy.
Full Job Description
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.

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.
  • Advanced proficiency with AI coding agents, including skills, rules, etc.
  • 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.

  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 - $235,000, 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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