Client Product Advisor

Hybrid
Mid-level
🇪🇪 Estonia
💰Equity
Customer success & support

About CyberCube:

1) The market leader in digital analytics with the mission of delivering the world’s leading cyber risk analytics on one of the most critical risks of today and the future.

2) Exceptionally well-funded startup that has raised over $100MM of capital from top-tier investors that has no need for any additional capital in this current market environment

3) Explosive team growth (from 15 employees in SF to >100 people globally).

_4) Explosive client base growth path_with a >99% retention rate.

5) An incredibly diverse, collaborative, and high-performing team of insurance industry professionals, data scientists, and engineers who love working here.

6) CyberCube and its products win industry awards every year (eg. Cyber Risk Solution of the Year & Stress Scenario Software of the Year in 2023). We were recognized with 9 awards in 2022.

7) Senior leadership has a continuous commitmentto team members doing the best work of their careers.

8) CyberCube is just a place where you can get things done!

9) Ranked #11 on Forbes America's Best Startup Employers.

You’ll be a key member of the Solution Consulting Team, play a critical role in client-focused product journey and will have loads of fun while doing the best work of your career. The Client Product Advisor will be responsible for ensuring that our clients receive all the knowledge, understanding and support they need to successfully leverage our analytics platform. Success in the role allows clients to extract the return on their investments in our software and solutions.

There are currently no fully remote or relocation opportunities to Tallinn, Estonia for this role.

Responsibilities

  • A subject matter expert at Cyber Cat Risk modelling software products to clients
  • Training and onboarding for multiple cyber insurance clients with a focus on cyber accumulation
  • Contributes to formalization of the business workflow and where CyberCube fits in, clients stakeholders and processes
  • Creating and maintaining comprehensive documentation
  • Collaboration with Product, Analytics and Engineering teams, acting as the voice of the client by providing client feedback
  • Managing escalation points in product / service delivery
  • Maintain customer health tracking / HubSpot (Customer Relationship Management software) records for accounts

Qualifications

  • Bachelor’s degree in a quantitative field (e.g. actuarial, statistics, data science, mathematics, economics, finance, etc.)
  • Minimum of 2 years work experience preferably within cyber underwriting or other related insurance background
  • Experience in client facing management / relationship building / account management
  • Strong communications skills in English both oral and written
  • Passionate about troubleshooting and solving clients complex issues
  • Expert with Excel and PowerPoint

Nice to Haves

  • Awareness of cyber security issues
  • Experience in analytical modelling
  • Experience using Power BI, Python, R

Why You'll Love It Here

  • Competitive salary and meaningful early-stage equity
  • Health insurance benefits with dental and vision coverage
  • Regular in-person social events, monthly office lunches
  • Company-paid learning and development assistance, company-supported mentorship program
  • Occasional travels can be expected, primarily to the UK
  • Grow in a collaborative, respectful, and empathetic culture

CyberCube Analytics, Inc. is an equal opportunity employer. We don’t tolerate discrimination against age, gender, gender identity, gender expression, sexual orientation, race, color, nationality, ethnicity, religion, disability, veteran status, protected genetic information or political affiliation.

 

CyberCube

CyberCube

Digital analytics company delivering the world's leading cyber risk analytics with a mission to provide the best work environment for a diverse, collaborative, and high-performing team of insurance industry professionals, data scientists, and engineers

Cybersecurity
Data Analytics
Technology

LinkedIn

🏭insurance
🎂2015

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