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Engineering Manager

Kizen

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Job Description

Job Overview

Kizen is seeking an Engineering Manager to lead teams in building user-facing features and scaling the Kizen platform. This role emphasizes user outcomes and the rapid delivery of reliable, scalable systems, contributing to the AI movement aimed at enhancing human experiences. The candidate will collaborate closely with the VP of Engineering, CTO, and a team of engineers to drive innovation and excellence.

Technical Requirements

Required Skills
  • • Python
  • • React
  • • Leadership
  • • Cloud Infrastructure
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
  • • Communicate deliverables and delivery timeline changes with key stakeholders
  • • Troubleshoot technical issues and create resolution plans
  • • Mentor engineers to strengthen skills and ensure solutions are implemented as architected
  • • Evaluate and recommend process modifications
  • • Encourage full participation in development processes
  • • Lead scrums and other agile ceremonies
  • • Partner with QA manager on release shepherding
  • • Help field support escalations and triage errors
  • • Conduct UAT on technical features to ensure stakeholder needs are met

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
Compensation
$180,000-$220,000 base salary with 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