About CyberCube :
- 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.
- Exceptionally well-funded startup that has raised over $100MM from top-tier investors.
- Explosive team growth (from 15 employees in SF to 100 globally ).
- Used by 75% of the top 40 US and European cyber insurance carriers & surpassing 100 clients in 2023 with a >
99% retention rate .
CyberCube and its products win industry awards every year. (eg. Cyber Risk Solution of the Year & InsurTech Product of the Year ). We were recognized with 17 awards in 2023.Senior leadership is committed to attracting, developing, and exciting exceptional people from diverse backgrounds and enabling them to work collaboratively across disciplines to do the best work of their careers.At CyberCube, we drive ownership for excellenceempowering our team to take initiative, deliver results, and continually raise the bar.Named on Forbes' America's Best Startup Employers list three years in a row (2021, 2022, 2023)!Learn what it's like to be part of CyberCube's mission : Watch this leadership team interview!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 underwritingCollaborate with other functions to deliver excellent results for clients and ensure high client retentionUnderstand client stakeholders and processesUnderstand business workflow and where CyberCube fits inWork closely with Product and Analytics teams, acting as the voice of the clientMaintain customer health tracking / Hubspot (Customer Relationship Management software) records for accountsHelp create and maintain comprehensive documentation for our internal toolsManage escalation points in product / service deliveryObtaining feedback from clientPrimary Objectives
Become a Subject Matter Expert resource for clients and other team members.Act as an ambassador for CyberCube Analytics in engaging the insurance marketProvide practical advice and insight to enable clients to maximize utility of softwareSuccessfully enable a team of client facing professionalsCritical Skills
Knowledge of analytics use cases in cyber insurance accumulation and underwritingUnderstanding of the role of analytics in insuranceHighly effective communication and influencing skills, both written and verbalDemonstrated ability in client account management and relationship / network building with the ability to balance multiple priorities, both independently and collaboratively as neededBroad technical knowledge of cyber security issuesAbility to clearly communicate complex ideas with clarityAble to solve complex and novel problems through a structured approach, intellectual rigor, and attention to detailExpert 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 backgroundExperience in analytical modeling beneficialFoundational technical knowledge of cyber security issues beneficialStrong awareness of commercial insurance issues including cyber risk insuranceHighly effective communication and influencing skills, both written and verbalDemonstrated ability in client account management and relationship / network buildingTechnical presentation skillsHigh level of professional integrity and commitment to execution of deliverablesMinimum Bachelor's degree educationWork 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 modelUp to 20% travel can be expected, primarily to USA / UK depending on where the candidate is locatedOpportunity to participate in a global secondment program at one of our many offices across San Francisco, Chicago, New York, London, and TallinnRegular in-person social events, monthly office lunches, and the occasional Zoom social!Amazing company culture with a leadership supported mentorship program available upon requestWhy You'll Love it Here
Play an instrumental role in reshaping one of the oldest industries in the worldCompetitive salary and unlimited PTOMeaningful early-stage equityGenerous healthcare benefits with medical, dental and vision coverageCompany-paid learning and development assistanceFlexible working hours and ability to work remotelyOpportunity to participate in a secondment programDependant care assistance planCompany-supported mentorship programGrow in a collaborative, respectful, and empathetic cultureCyberCube 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.
