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SecurityScorecard, the global leader in cybersecurity ratings with 12M+ companies continuously rated across 64 countries, is hiring a Senior Forward Deployed Engineer to embed with strategic customers and transform raw security data into executive-ready decisions.
In this role, you'll deploy onsite with key accounts to map their security, risk, and compliance workflows end-to-end, identifying where value leaks through manual effort or disconnected tools. You'll gather requirements from practitioners and executives, understanding dependencies across people, process, and data before proposing solutions that weave SecurityScorecard into their existing systems rather than forcing adaptation to generic integrations.
You'll build AI-native solutions by default, applying LLMs, ML models, and modern AI tooling to automate analysis and reduce manual toil. Your work includes running data analysis and data science on customer and platform data—translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI. You'll design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses) across AWS, Azure, and GCP environments.
You'll 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 alongside Customer Success and Sales Engineering. Travel to customer sites for workshops, technical deep dives, and go-live support is expected.
Required: 8+ years software engineering with significant customer-facing, forward-deployed, or solutions engineering experience. Hands-on AI experience building with LLMs, agentic frameworks, or ML models as core building blocks in shipped solutions. Working data analysis/data science ability to turn raw data into actionable customer 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 (REST, webhooks, SSO/SAML, SIEM connectors). Solid architecture design experience across AWS, Azure, and GCP. Experience running discovery with enterprise stakeholders from practitioners to executives. Excellent communication translating between technical detail and business/financial impact. Prior cybersecurity, GRC, or risk management experience is a strong plus.
