Jobs at SecurityScorecard

Build and optimize AI-powered marketing workflows, GTM automations, lead scoring, routing, data models, and lifecycle processes. Administer marketing database governance, improve funnel efficiency and pipeline generation, support GTM technology adoption, and develop scalable solutions across Salesforce, Marketo, Clay, and related platforms. Collaborate with Marketing, Sales, Business Development, Finance, Revenue Operations, and IT while measuring improvements in efficiency, data quality, adoption, and business outcomes.

Build and optimize AI-powered GTM systems, marketing automations, lead-scoring models, data workflows, and lifecycle processes. Administer and govern marketing databases, improve lead-to-pipeline conversion, develop signal-based routing, and support adoption of the marketing technology stack. Collaborate with Marketing, Sales, BDR, Revenue Operations, Finance, and IT teams to deliver scalable solutions, document systems, and measure operational and business outcomes.

Lead customer lifecycle, retention, expansion, advocacy, and community marketing programs for a B2B cybersecurity SaaS company. Own onboarding, adoption, renewal, upsell, customer references, forums, webinars, and user communities. Partner with Sales, Customer Success, Product, and Marketing AI Ops to create signal-based campaigns, enablement materials, and automated nurture programs. Track GRR, NRR, pipeline, customer health, NPS, and engagement metrics while optimizing performance and reporting to the CMO.

Owns a portfolio of customer relationships, helping clients achieve cybersecurity risk-management objectives through strategic engagement and platform adoption. Acts as a trusted advisor on SecurityScorecard and cybersecurity practices, drives retention, expansion, renewals, forecasting, and revenue growth, and develops executive-level relationships. Collaborates with Sales, Customer Success, and Product teams to improve customer journeys, share feedback, and deliver business value.

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 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.

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, then build AI-powered integrations, data pipelines, and production software. Translate security ratings into financial risk models, connect systems across cloud environments, rapidly prototype and harden solutions, and guide technical relationships through renewal and expansion. The role bridges customers, Product, Engineering, Customer Success, and Sales Engineering while feeding field insights into the product roadmap.

Sources new sales opportunities through outbound lead generation, inbound qualification, prospect research, and meeting booking. The role identifies decision-makers, crafts persuasive outreach, evangelizes cybersecurity software, maintains clean CRM data, and manages high-volume phone, email, and social activity. It collaborates with marketing, channel, and sales teams while developing toward a full-cycle sales career.

Own a portfolio of customer relationships, serving as a cybersecurity and SecurityScorecard platform advisor. Drive customer adoption, retention, renewals, expansion, forecasting, and revenue growth with limited Sales involvement. Build relationships from daily users through executives, lead strategic account planning and QBRs, represent customer feedback internally, and identify new use cases. Travel to strategic accounts approximately 35–40%, including twice-yearly visits for accounts exceeding $100K ARR.

Leads SecurityScorecard’s commercial growth in Japan, owning new ARR, enterprise sales, pipeline development, forecasting, channel partnerships, and deal execution. Builds relationships with enterprise, financial services, insurance, and public-sector buyers; collaborates with customer success, solutions engineering, marketing, product, and legal; represents Japan market needs; and recruits and manages the local sales team as the business scales.

Sell SecurityScorecard's cybersecurity ratings to net-new enterprise accounts (5,000+ employees or $750M+ revenue). Own a $1.75M net-new ARR quota, drive MEDDPIC-led discovery, navigate complex buying committees and channel-assisted deals, and maintain accurate pipeline and forecasts.

Lead end-to-end product design for complex platform features, contribute to and maintain a reusable design system, run usability testing and analytics-driven iterations, ensure WCAG 2.2 accessibility, and partner closely with Product and Engineering to deliver production-ready, AI-enabled UI solutions.

Build and maintain AI-powered GTM workflows, Salesforce Agentforce solutions, integrations, and automations across the GTM stack. Partner with Sales, Marketing, CS, and Revenue Operations to design, implement, test, and monitor scalable solutions, data models, scoring, and analytics to improve adoption, efficiency, and business outcomes. Troubleshoot, document, and iterate on platform and integration issues.

Own and deliver end-to-end data engineering projects: design, build, test, deploy, and maintain scalable big-data pipelines and APIs. Collaborate with product and global teams, mentor junior engineers, monitor performance, and drive technical roadmap and stability improvements.

Pre-sales role focused on outbound and inbound lead generation: book meetings, qualify leads, evangelize product, maintain CRM hygiene, conduct high-volume phone/email outreach, research prospects, identify decision-makers, and collaborate with sales, marketing, and channel teams.

Design, build, and scale Kubernetes-based, multi-tenant infrastructure and CI/CD systems. Own AI tooling infrastructure (MCP servers) and secure AI access patterns. Optimize CI/CD, streaming analytics (Kafka, Flink, ClickHouse), observability, and incident response. Implement IaC (Terraform, Helm, Pulumi), GitOps (Argo CD), progressive delivery, automated testing, and mentor engineering teams.