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Cato Networks

Senior Customer Success Manager

Cato Networks is hiring a Senior Customer Success Manager in London, United Kingdom. Level rates it ; you can apply on Cato Networks.

Level's read on this job

  • On Level's scale, this customer service role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include AI agents.
  • Level classifies it as a senior role.
  • Level lists 114 other open roles at Cato Networks.
  • The role was posted in the last few days.

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.

As a Cato Senior Customer Success Manager for the UK/I region, you will be a trusted advisor to our top customers from deployment and throughout their journey to renewal. In this role you will inspire and support customer adoption and expansion and use your customer facing and technical acumen to lead our customers to success.

Curiosity - you have a desire to truly understand our customers' business needs.

Creativity - you can find a sustainable path to yes.

Empathy - you connect at a human level with our customers and you genuinely care

Responsibilities:

  • Responsible for the health of the assigned accounts and ensure our customers continue to stay and grow with us and realize the full value of their investment in our technology
  • Develop meaningful relationships with key stakeholders within the customer as well as Cato’s teams (Sales, Customer Success, R&D and Support Engineering)
  • Own and orchestrate Cato's post sales motion, including conducting QBRs, product adoption maturity assessments, managing renewals and upsells

Requirements:

  • 5+ year of experience ideally in a Customer Success or sales role at a high growth SaaS software or technology vendor
  • Experience and Exposure working with networking or security software solutions
  • Excellent customer communication and presentation skills (ability to clearly articulate to different audiences and bring the message across in a concise, professional and compelling manner)
  • Ability to effectively listen and truly understand the customer needs, even if they're not effectively articulated, and find sustainable solutions
  • Ability to influence and persuade at all levels and gain a ‘Trusted Advisor’ status with key stakeholders
  • Must be very well organized and able to work effectively in a nimble and fast-paced environment
  • Effective problem solver, shows ownership and wants to see issues resolved
  • Comfortable working within a geographically distributed team for a hypergrowth global organization
  • Ability to travel up to 25% of the time

Prior Experience:

  • Solid technology background, ideally hands-on prior experience on at least a few of the following domains:
    • Routing (static, BGP, EIGRP, etc.)
    • switching
    • SD-WAN
    • Firewall, Proxy
    • Secure Web Gateway/CASB/DLP
    • Identity Management (SSO, SAML, LDAP, etc.)
    • Threat protection mechanisms (IPS, AM, etc.)
    • Load Balancing
    • Networking protocol analysis (TCP, UPD, IP, ICMP, etc.)
    • WAN, MPLS

#LI-HE1

How we rate this

Senior Customer Success Manager at Cato Networks rates 36 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.

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Pay

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$98k

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