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Cato Networks

Talent Acquisition Partner - Temporary

Cato Networks is hiring a Talent Acquisition Partner - Temporary in Tel Aviv, Israel. Level rates it ; you can apply on Cato Networks.

Level's read on this job

  • Little AI ●○○○ is how Level rates this HR role: aI is not part of the work.
  • The posting mentions AI agents among its tools and skills.
  • Level classes it as a mid-level role.
  • Cato Networks has 108 other open roles on Level.

AI in this role

ai-agents

Cato Networks is the converged network and security cloud for the AI era. 

As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. 

Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. 

Cato Networks is a team of veteran technology and security experts, looking to change the world. Bringing in top-notch employees that impact our technology, business, and company culture is one of our most strategic missions. In order to make it happen, we’re hiring a Talent Acquisition Partner to join our dynamic HR Team. The Talent Acquisition Partner will have the opportunity to make a real impact on our success.

As part of the Talent Acquisition Partner role, you will be responsible for E2E recruitment process, working closely with managers and ensuring the best candidate experience. You will spot top talent, pitch our company and vision, build and shape great teams, and use innovative recruiting methods.

(Temporary Maternity Leave Replacement)

Responsibilities:

  • Responsible for the full-cycle recruitment process for technical roles in Tel-Aviv - from sourcing, crafting profiles & phone interviewing to in-depth behavioral interviews and issuing an offer.
  • Creatively source top-notch candidates via multiple channels and maintain a strong pipeline of talents while creating a great candidate experience.
  • Be a trusted partner with hiring managers, understanding their needs, maintain communication and lead successful recruitment.
  • Build and maintain relationships with outside recruiting agencies.
  • Manage the contract and budget process with recruiting partners.
  • Deeply understand the business, Cato’s culture and various roles.
  • Partner in creating internal referral programs and build enthusiasm and support for driving candidate referrals from existing employees.

Requirements:

  • 4+ years of experience in E2E recruiting cycle for technical/R&D roles from a high-tech/startup company.
  • Proven sourcing skills and experience with recruiting databases and Social Media platforms (such as LinkedIn Recruiter, Stack Overflow, GitHub and more).
  • Proven experience in in-depth behavioral interviews.
  • Data-driven decision making and quantitative analysis skills.
  • Create and maintain an excellent candidate experience.
  • Experience from Security & Networking companies - advantage.
  • Excellent English and Hebrew, both verbal and written.
  • Able to work in a start-up environment: Can-do attitude, ability to work in a super intense and dynamic environment.
  • A true team player who is willing and excited to contribute to our team’s and company's success.
  • Self-starter, independent, results-oriented, and attentive to details.
  • A in Social Science / Behavioural Science or equivalent.

How we rate this

Talent Acquisition Partner - Temporary at Cato Networks rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

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Pay

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$120k

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