Engineering Manager AI Agents
@ Zendesk

Hybrid
$180,000
Hybrid
Full Time
Posted 1 day ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXX***** @zendesk.com
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Job Details

Overview

As an Engineering Manager in our AI Agents organization at Zendesk, you will lead and grow a team of talented engineers shaping the way clients design, onboard, and scale conversational experiences. Your team drives innovations from self-service onboarding to next-generation voice agents, impacting the customer journey from presales to Go Live.

Responsibilities

  • Lead a cross-functional team of 6-8 engineers.
  • Foster a culture of continuous improvement and collaboration.
  • Empower teams through coaching, mentorship, and skill development.
  • Ensure delivery, quality, and best practices in product development.
  • Collaborate with product managers, engineers, and stakeholders.

Requirements

  • Strong technical background with experience in complex architectures.
  • Proven track record in managing and motivating engineering teams.
  • Experience with scaling teams and leading through change.
  • Excellent communication skills and stakeholder engagement.
  • Commitment to quality and iterative development practices.

About Zendesk

Zendesk builds software for better customer relationships. With over 100,000 paid customer accounts worldwide, Zendesk offers a hybrid work arrangement with a blend of in-office and remote work. Their commitment to diversity, equity, and inclusion is evident throughout the company culture.

Key Skills/Competency

  • engineering
  • AI
  • leadership
  • team management
  • integration
  • automation
  • innovation
  • collaboration
  • mentorship
  • quality assurance
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How to Get Hired at Zendesk

🎯 Tips for Getting Hired

  • Customize your resume: Highlight leadership and AI project experience.
  • Research Zendesk: Understand their products and company culture.
  • Showcase team success: Use metrics and clear examples.
  • Prepare for interviews: Focus on technical leadership and collaboration.

📝 Interview Preparation Advice

Technical Preparation

Review scalable architecture design principles.
Practice coding for system integration.
Study AI framework implementations.
Prepare system design scenario solutions.

Behavioral Questions

Discuss team conflict resolution examples.
Explain coaching experiences and outcomes.
Describe handling stakeholder disagreements.
Share leadership examples in challenging projects.

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