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Engineering Manager

Kizen

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Job Description

Job Overview

Kizen is seeking an Engineering Manager to lead the development of their AI-powered tools aimed at creating fulfilling human experiences. The successful candidate will work closely with the VP of Engineering and CTO to build user-facing features and enhance the Kizen platform, ensuring it meets the growing needs of its users. This role requires a focus on user outcomes and the delivery of reliable, scalable systems in a collaborative, dynamic environment.

Technical Requirements

Required Skills
  • • Python
  • • React
  • • Leadership
  • • Collaboration
  • • Problem-solving
Preferred Skills
  • • AWS
  • • Kubernetes
Experience Level

12+ years of professional development experience with 4+ years in leadership roles

Responsibilities

  • • Ensure smooth development by keeping developers enabled, informed, and unblocked
  • • Build and maintain healthy and supportive relationships with team members while driving excellence
  • • Clearly communicate deliverables and any timeline changes with stakeholders
  • • Troubleshoot technical issues and create resolution plans
  • • Mentor engineers to strengthen their skills
  • • Evaluate and recommend process modifications
  • • Encourage full participation in development processes
  • • Lead scrums and agile ceremonies
  • • Partner with QA manager on release shepherding
  • • Field support escalations and triage errors
  • • Conduct UAT on technical features

Technical Environment

Languages
Frameworks
Tools & Technologies

Benefits & Perks

  • • Career Growth Opportunities
  • • Engaging Work Culture
  • • Top-Tier Compensation
  • • Equity Package
  • • Healthcare Coverage
  • • Professional Development Stipends
  • • Generous PTO Policy

Additional Information

Location
Austin, Texas, United States
Type
Full Time, Hybrid (Minimum 4 days in office)
Compensation
$180,000 - $220,000 base salary, OTE $216,000 - $264,000

About Kizen

Kizen empowers your people and AI to work together seamlessly, enabling them to build, train, and scale AI agents and enterprise applications in under 30 days.

Company Size
unknown
Categories
AI App & Software Development Artificial Intelligence & Machine Learning Automation Biotech, Pharmaceuticals & Healthcare Business Productivity & Collaboration Enterprise Applications Semiconductor & Hardware Software & SaaS