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SecurityScorecard is the global leader in cybersecurity ratings, continuously rating over 12 million companies across 64 countries. The company is hiring a Senior Forward Deployed Engineer to embed with strategic customers and translate raw security data into actionable executive decisions.
In this role, you will deploy onsite with key customers to map their security, risk, and compliance workflows end-to-end, identifying where value is lost to manual effort or disconnected tools. You'll gather requirements from both practitioners and executives, understanding dependencies across people, process, and data before proposing solutions.
You will weave SecurityScorecard into customers' existing data, logic, and processes rather than forcing generic integrations. The role emphasizes AI-native solutions by default: applying LLMs, ML models, and modern AI tooling to automate analysis and reduce manual toil. You'll conduct data analysis and data science work translating security ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI.
Key responsibilities include designing and deploying integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses). You'll architect solutions across AWS, Azure, and GCP environments, prototype rapidly in the field, then harden solutions into production-quality software. You'll bridge Product, Engineering, and customers, feeding field patterns back into the roadmap and owning technical relationships with key accounts through renewal and expansion.
Required: 6+ years of engineering or technical deployment experience with customer-facing work. Hands-on experience building with AI (LLMs, agentic frameworks, ML models) as core building blocks in shipped solutions. Working data analysis and data science ability to turn raw data into actionable models. Proven ability to ship production code independently in fast-moving, ambiguous environments. Strong full-stack fluency across backend services, APIs, scripting, data pipelines, and integration patterns. Solid architecture design experience across major cloud platforms. Experience running discovery with enterprise stakeholders from practitioners to executives. Excellent communication translating technical detail to business/financial impact. Prior cybersecurity, GRC, or risk management experience is a strong plus.
