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 commitment to 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.

An exciting opportunity for a results-oriented individual who is passionate about delivering exceptional value to clients and focused on delivering leading cyber risk analytics solutions to the (re)insurance industry.

The role sits within the Solutions Consulting Team. The SC team brings together the best of CyberCube to support the world’s leading institutions and emerging businesses across the entire insurance value chain with our best-in-class cyber data, analytics, signals, models, and risk frameworks. You’ll be a key member of this team, play a critical role in client-focused product journey and will have loads of fun while doing the best work of your career!

Our functional mission statement is:

Make customers successful through demonstrating the value of our analytics to support their evolving critical business needs. We act as the voice of the customer internally, and the face of CyberCube within the (re)insurance ecosystem.

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.

Primary Responsibilities

Fully understand and be able to explain Cyber Cat Risk modeling software products to clients, as well as articulate use cases.
Lead training and onboarding for multiple cyber insurance clients with a focus on cyber accumulation and cyber cat risk as well as single risk underwriting
Collaborate with other functions to deliver excellent results for clients and ensure high client retention
Understand client stakeholders and processes
Understand business workflow and where CyberCube fits in
Work closely with Product and Analytics teams, acting as the voice of the client
Maintain customer health tracking / Hubspot (Customer Relationship Management software) records for accounts
Help create and maintain comprehensive documentation for our internal tools
Manage escalation points in product / service delivery
Obtaining feedback from client

Primary Objectives

Become a Subject Matter Expert resource for clients and other team members.
Act as an ambassador for CyberCube Analytics in engaging the insurance market
Provide practical advice and insight to enable clients to maximize utility of software
Successfully enable a team of client facing professionals

Critical Skills

Knowledge of analytics use cases in cyber insurance accumulation and underwriting
Understanding of the role of analytics in insurance
Highly effective communication and influencing skills, both written and verbal
Demonstrated ability in client account management and relationship/network building with the ability to balance multiple priorities, both independently and collaboratively as needed
Broad technical knowledge of cyber security issues
Ability to clearly communicate complex ideas with clarity
Able to solve complex and novel problems through a structured approach, intellectual rigor, and attention to detail
Expert with MS Office applications including Excel and Powerpoint, and experience with collaboration software tools.

Qualifications

Minimum of 2 years work experience preferably within cyber underwriting or other related insurance background
Experience in analytical modeling beneficial
Foundational technical knowledge of cyber security issues beneficial
Strong awareness of commercial insurance issues including cyber risk insurance
Highly effective communication and influencing skills, both written and verbal
Demonstrated ability in client account management and relationship/network building
Technical presentation skills
High level of professional integrity and commitment to execution of deliverables
Minimum Bachelor's degree education

Work Environment

As a start-up there will be a lot of work flexibility, including standard global work from home day, and hybrid home / office working model
Up to 20% travel can be expected, primarily to USA/UK depending on where the candidate is located
Opportunity to participate in a global secondment program at one of our many offices across San Francisco, Chicago, New York, London, and Tallinn
Regular in-person social events, monthly office lunches, and the occasional Zoom social!
Amazing company culture with a leadership supported mentorship program available upon request

Why You'll Love it Here

Play an instrumental role in reshaping one of the oldest industries in the world
Competitive salary and unlimited PTO
Meaningful early-stage equity
Generous healthcare benefits with medical, dental and vision coverage
Monthly catered lunches and happy hours
Company-paid learning and development assistance
Flexible working hours and ability to work remotely
Opportunity to participate in a secondment program
Dependant care assistance plan
Company-supported mentorship program
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.

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