3 days ago

AI Engineering Group Manager

Hyro

On Site
Full Time
₪650,000
Tel Aviv-Yafo, Tel Aviv District, Israel

Job Overview

Job TitleAI Engineering Group Manager
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary₪650,000
LocationTel Aviv-Yafo, Tel Aviv District, Israel

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

What Are We Looking For?

Hyro is seeking an experienced AI Engineering Group Manager to join our growing R&D organization in Tel Aviv. In this pivotal role, you will lead and scale a group of teams, including our AI team, Chat AI product team, and Incubation team, all responsible for the heart of Hyro’s AI platform. A major focus will be to lead and expand the Data Science team, encompassing machine learning research, ML model development, and MLOps practices, ensuring the delivery of production-ready, scalable, and reliable AI solutions. Reporting to the CPTO, you will be instrumental in shaping our technical vision, driving the evolution of our conversational AI and voice solutions, and cultivating a strong, high-performing engineering organization.

Responsibilities:

  • Lead, scale, and mentor an engineering group of 15–20 engineers, delivering complex, AI-driven products at scale.
  • Manage two Team Leads and provide direct leadership to specialized teams, including the AI team and Data Science team, working closely with a dedicated AI Architect.
  • Partner closely with the CTO to translate technical vision into execution and ensure strong alignment across teams.
  • Collaborate deeply with Product Managers to define and execute the roadmap for Hyro’s core AI engine and chat experiences.
  • Oversee the development and deployment of machine learning models, including model design, evaluation, optimization, and production integration.
  • Drive continuous improvement of R&D processes, structure, and engineering culture to support rapid growth and high-throughput environments.
  • Foster technical excellence, mentor future leaders, and build a strong leadership pipeline within Hyro.
  • Own cross-functional collaboration, ensuring strong synchronization between your group and other departments across the company.

Requirements:

  • 8+ years of experience in Engineering, and at least 3 years as a Group Manager or similar role.
  • Proven track record of managing at scale in high-growth companies.
  • Deep technical rooting with the ability to lead architecture reviews and stay close to the technology without necessarily coding daily.
  • Experience designing and operating large systems with an emphasis on scalability, high availability, and performance.
  • Deep expertise in Data Science, Machine Learning, and MLOps, including model development, deployment, and monitoring.
  • Strong familiarity with Python, Node.js, and cloud services (AWS/Azure/GCP).
  • Experience building virtual assistants or SaaS products - an advantage.
  • Strong interpersonal and communication skills with proficient English.

Equal Opportunities:

Hyro is an equal opportunity employer. We do not discriminate against any employee or job applicant on the basis of race, color, gender, national origin, age, religion, creed, disability or sex.

Key skills/competency

  • AI Engineering
  • Machine Learning
  • MLOps
  • Data Science
  • Engineering Leadership
  • Scalability
  • Conversational AI
  • Cloud Services
  • System Design
  • Python

Tags:

AI Engineering Group Manager
management
leadership
scaling
architecture
roadmap
deployment
mentoring
collaboration
MLOps
data science
Python
Node.js
AWS
Azure
GCP
Machine Learning
Conversational AI
Virtual Assistants
SaaS
HIPAA

Share Job:

How to Get Hired at Hyro

  • Research Hyro's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight your deep experience in AI, ML, MLOps, and leadership at scale for Hyro.
  • Showcase leadership impact: Detail how you've mentored teams and driven technical excellence in high-growth environments.
  • Prepare for technical deep-dives: Focus on system design, architecture, and the full ML lifecycle.
  • Emphasize communication skills: Practice articulating complex technical strategies and fostering cross-functional collaboration.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background