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Lead and modernize a global Customer Success organization for an enterprise cybersecurity software company. Responsibilities include building high-performing teams, implementing AI-enabled customer health processes, driving cross-functional accountability, managing complex enterprise customer journeys, and partnering with Sales on retention, expansion, and customer growth. The role requires strong leadership, account planning, enterprise deal experience, cybersecurity expertise, and a metrics-driven approach.

Lead end-to-end architecture for an internet-scale data platform, including ingestion, streaming and batch processing, lakehouse storage, analytical serving, data quality, observability, lineage, and reproducible ratings pipelines. Define contracts, standards, and technical direction through prototypes and design reviews. Partner with engineering, Product, Data Science, and other architects while mentoring senior engineers and influencing teams without direct authority.

Lead end-to-end architecture for an internet-scale data platform, including ingestion, streaming and batch processing, lakehouse storage, analytical serving, data contracts, quality, observability, lineage, and reproducible ratings pipelines. Define technical standards, write design reviews, guide architectural decisions, mentor senior engineers, prototype solutions, and influence teams without direct authority. Partner with engineering, Product, Data Science, AI, and frontend architecture teams while optimizing correctness, scalability, performance, and cost.

Lead the system architecture for production agentic AI capabilities, including orchestration, state and memory, tool integration, reliability, and guardrails. Write technical design reviews and standards, prototype architectural decisions, and partner with Data Science and engineering teams. Influence technical direction, review architectures, mentor senior engineers, promote AI-assisted development, and communicate trade-offs to executives and customers.

Leads architecture for production-scale agentic AI systems, including orchestration, state and memory, tool integration, reliability, and platform composition. Creates technical design reviews, standards, and prototypes; partners with data science and engineering teams; reviews architecture, builds consensus, mentors senior engineers, and communicates decisions to executives and customers. The role also drives AI-assisted development adoption across the organization.

Design complex AI-powered B2B SaaS workflows for cybersecurity risk management, including third-party assessments, security questionnaires, and continuous monitoring. Conduct usability testing, analyze product data, design for permissions and multi-tenant environments, and contribute to an accessible design system. Build AI-assisted prototypes grounded in the existing codebase, collaborate with Product and Engineering, and help improve the design team’s AI capabilities.

Design complex AI-powered B2B SaaS workflows for cybersecurity risk management, including third-party assessments, security questionnaires, and continuous monitoring. Conduct usability testing and analyze product data, design for permissions and multi-tenant environments, build AI-assisted prototypes grounded in the codebase, strengthen the design system, ensure WCAG 2.2 accessibility, and collaborate with Product and Engineering. The role also advances AI prototyping practices across the design team.

Lead the architecture and implementation of enterprise GTM systems, Salesforce solutions, AI-powered workflows, integrations, data models, and scoring frameworks. Partner with cross-functional leadership to translate business goals into technical designs, establish scalable architecture and development practices, and mentor GTM engineers and administrators. The role involves hands-on development with Salesforce, middleware, APIs, and AI tools while overseeing technical strategy, integrations, testing, documentation, and deployment.

Lead the technical architecture and implementation of scalable GTM systems, Salesforce solutions, integrations, AI-powered workflows, data models, and scoring frameworks. Build advanced Salesforce applications using Apex, Flow, APIs, and custom objects; manage Workato and Zapier integrations; prototype with AI development tools; translate executive goals into technical designs; and mentor GTM engineers and administrators on development, testing, documentation, and deployment best practices.

Deploy onsite with strategic customers to understand security and risk workflows, build AI-native solutions, analyze data, and integrate SecurityScorecard with enterprise systems. Design cloud architectures across AWS, Azure, and GCP; prototype and productionize software; translate security data into financial risk insights; and maintain technical relationships through renewals and expansion. Travel to customer sites for workshops, technical discovery, and go-live support.