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Required VP Customer Success
Our Continuous Security Validation enables companies to challenge, assess and optimize their cyber-security posture against the evolving cyberthreat landscape, simply and continuously.
With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, were always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.
What You Will Have:
8+ years of experience in Customer Success, Customer Retention, Account Management, or related leadership roles.
3+ years leading Customer Success organizations within cybersecurity or SaaS environments.
A proven track record of improving Gross Revenue Retention (GRR), reducing churn, and driving customer outcomes.
Experience managing Mid-Market, Enterprise, and strategic customer portfolios.
Strong executive presence with the ability to build trusted relationships at the C-level.
Deep understanding of customer health frameworks, retention forecasting, and success planning.
Experience building, scaling, and leading high-performing Customer Success teams.
Strong analytical and operational mindset with the ability to leverage data to drive decisions.
Hands-on experience with Salesforce, Customer Success platforms, and AI-driven CS capabilities.
Exceptional communication, leadership, and cross-functional collaboration skills.
A customer-obsessed mindset, combined with a strong sense of ownership, accountability, and urgency.
Experience in cybersecurity, Exposure Management, BAS, CTEM, Security Operations, or related security domains is highly preferred.

Required Assistant Controller
Our Continuous Security Validation enables companies to challenge, assess and optimize their cyber-security posture against the evolving cyberthreat landscape, simply and continuously.
With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, were always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.
DESCRIPTION
Assist in monthly, quarterly, and annual book closings processes
Assist in preparations of annual financial statements and tax return
Manage month-end closing process for all subsidiaries
Work with colleagues and finance team members to ensure consistency and accuracy of the companys global financial informationMonitor bookkeepers and review the accuracy of financial data
Supports all accounting-related activities
Assist with ad-hoc tasks, as necessary.

Required AI Full-Stack Engineer
Our Continuous Security Validation enables companies to challenge, assess and optimize their cyber-security posture against the evolving cyberthreat landscape, simply and continuously.
With world-class clients we strive to bring the highest level of service to everything we do. Our team is made up of the very best people for the job and as we grow, were always on the lookout for people with the skills, experience, and personality that will let us both shine. With high scores on Gartner, G2 and Glassdoor, our clients and employees have let us know what they love about us.
What will you do:
Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions, including backend services, APIs, and modern React-based frontends.
Build scalable, secure, and highly available distributed systems.
Develop AI agents, copilots, autonomous workflows, and intelligent automation.
Build and deploy RAG (Retrieval-Augmented Generation) solutions and integrate LLMs into production.
Design AI orchestration workflows using frameworks such as LangChain, LangGraph, or similar.
Implement AI evaluation, tracing, and observability pipelines using Langfuse or equivalent tools.
Develop MCP (Model Context Protocol) integrations and AI tooling ecosystems.
Build and maintain cloud infrastructure, CI/CD pipelines, and Infrastructure-as-Code.
Drive engineering productivity through AI-assisted development and automation.
Collaborate closely with Product, Design, and Engineering teams to deliver customer value.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Own features end-to-end-from architecture and development to deployment, monitoring, and continuous improvement.