The Customer Success Manager will manage a portfolio of customer relationships to ensure satisfaction, retention, and revenue expansion. They will act as a trusted advisor, helping clients operationalize the platform to achieve their cybersecurity and risk management objectives.
The UX Director will lead the product design and research organization by implementing an AI-native, codebase-anchored design strategy. They will rebuild the operating model to decentralize design into product-line pods while setting the vision for enterprise-grade, data-dense B2B workflows.
The UX Director will lead the Product Design and Research organization by setting design strategy and rebuilding the operating model to be AI-native and pod-based. They will drive B2B design excellence, govern design systems, and foster a culture of speed and cross-functional collaboration.
You will lead, coach, and modernize the global Customer Success organization while integrating AI-driven processes to ensure operational excellence. You will also partner with Sales to manage complex enterprise customer journeys and drive retention and expansion goals.
You will architect and lead the implementation of enterprise-grade GTM systems, including AI-powered workflows and advanced Salesforce solutions. Additionally, you will partner with cross-functional leadership to define technical roadmaps and mentor engineering talent.
You will deploy onsite with strategic customers to integrate SecurityScorecard solutions into their existing workflows and data environments. The role involves building AI-native solutions to automate security analysis and translating technical data into actionable financial risk metrics.
You will embed with strategic customers to map their security workflows and build AI-native solutions that integrate SecurityScorecard into their existing operations. This involves running data analysis, architecting cloud-based integrations, and maintaining technical relationships with key accounts.
The Senior Forward Deployed Engineer will embed with strategic customers to map security workflows and build AI-native solutions that integrate SecurityScorecard into their existing operations. This role involves architecting technical solutions, performing data analysis, and maintaining long-term technical relationships with key accounts.
The Business Development Representative is responsible for sourcing new sales opportunities through outbound lead generation and qualifying inbound inquiries. They will manage their own territory by identifying decision-makers and booking meetings to support the sales team.
The Senior Customer Success Manager will manage a portfolio of customer relationships to drive retention, expansion, and platform adoption. They will act as a trusted advisor to clients, aligning the SecurityScorecard platform with their cybersecurity and risk management objectives.
The Country Manager is responsible for building and scaling the company's commercial presence in Japan by driving new-ARR bookings and managing a local sales team. They will develop go-to-market strategies, manage channel partnerships, and ensure alignment with global customer success and engineering teams.
The Senior UX Manager will lead a team of designers while maintaining a hands-on role in product design, design systems, and AI-native workflows. They are responsible for managing team health, driving Agile processes, and serving as the primary liaison between design, product, and engineering stakeholders.
You will own the research-to-production pipeline, transforming research findings into actionable detection rules, feeds, and platform APIs. Additionally, you will build and maintain threat intelligence platform components while driving the adoption of industry standards like STIX 2.1 and TAXII 2.1.
You will build and maintain AI-powered workflows and integrations across the GTM technology stack to improve operational efficiency. This involves collaborating with cross-functional teams to identify pain points and implementing scalable technical solutions using Salesforce and automation tools.
The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to stakeholders.
The Senior Data Scientist will build, evaluate, and deploy machine learning models for risk scoring and threat intelligence. They will also collaborate with cross-functional teams to integrate these models into production systems and perform complex data analysis.
The Senior Data Scientist will develop and implement advanced machine learning models for risk scoring, threat intelligence, and vendor risk assessment. They will also collaborate with cross-functional teams to integrate these models into production systems and communicate findings to various stakeholders.
The Business Development Representative is responsible for sourcing new sales opportunities through outbound prospecting, lead qualification, and booking meetings. They will work closely with sales and marketing teams to evangelize the product and manage the sales pipeline effectively.
Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems to ensure production reliability. Build and govern AI tooling infrastructure, including MCP servers and secure access patterns for production systems.
Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems to ensure production reliability. Build and govern AI tooling infrastructure, including MCP servers and secure access patterns for production systems.
Lead the design and optimization of Kubernetes-based infrastructure, CI/CD systems, and AI tooling infrastructure. Focus on ensuring production reliability, observability, and the implementation of secure AI access patterns.
Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems to ensure production reliability. Build and govern AI tooling infrastructure, including MCP servers and secure access patterns for production systems.
Bridge the gap between threat research and production by turning research artifacts into scalable detection rules, feeds, and APIs. Build and maintain the STRIKE platform components, including OSINT ingestion and sandbox orchestration, while automating research workflows.
Bridge the gap between threat research and production by turning research artifacts into deployable detection rules, feeds, and APIs. Build and maintain the STRIKE platform components and automate research workflows using language models and data pipelines.
Bridge the gap between threat research and production by turning research artifacts into scalable detection rules, feeds, and APIs. Build and maintain the STRIKE platform components, including OSINT ingestion and automation workflows for indicator enrichment.
Bridge the gap between threat research and production by turning research artifacts into scalable detections, feeds, and APIs. Build and maintain the STRIKE platform components and automate research workflows using LLMs and data pipelines.
Bridge the gap between threat research and production by turning research artifacts into deployed detections, feeds, and APIs. Build and maintain the STRIKE platform components and automate research workflows using language models and data pipelines.
Bridge the gap between threat research and production by turning research artifacts into scalable detection rules, feeds, and APIs. Build and maintain the STRIKE platform components, including OSINT ingestion and automation workflows for indicator enrichment.
Own the end-to-end product design process from discovery and wireframing to high-fidelity UI and production handoff. Contribute to the maintenance and growth of the company's design system while partnering with Product and Engineering teams.
Build and maintain reliable, scalable big data pipelines and commercial products end-to-end. Collaborate with product managers to define requirements and mentor junior engineers through code reviews and technical guidance.
The Senior Data Engineer will design and maintain scalable big data pipelines and commercial products end-to-end. They will collaborate with product managers to define requirements and mentor junior engineers through code reviews and technical guidance.
Build and maintain reliable, scalable big data pipelines and commercial products end-to-end. Collaborate with product managers to define requirements and mentor junior engineers through code reviews and technical guidance.
Drive net-new enterprise business by selling into large organizations with 5,000+ employees or $750M+ revenue. Own and exceed a $1.75M annual net-new ARR quota using a hybrid direct and channel-assisted sales motion.
