Senior Forward Deployed Engineer
AI summary of the role
Senior Forward Deployed Engineer embedding with strategic customers to turn raw security data into executive decisions.
What you’ll do
- Deploy onsite with strategic customers to map security, risk, and compliance workflows end to end
- Build AI-native solutions by default, applying LLMs, ML models, and modern AI tooling to automate analysis
- Run data analysis and data science work, translating letter-grade ratings into financial terms like ALE, VaR, and ROI
- Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses)
What you’ll bring
- 8+ years of software engineering experience with significant customer-facing, forward deployed, or solutions engineering capacity
- Hands-on experience building with AI, using LLMs, agentic frameworks, or ML models in shipped solutions
- Working data analysis/data science ability to turn raw data into actionable models
- Strong full stack fluency: backend services, APIs, scripting, data pipelines, integration patterns (REST, webhooks, SSO/SAML, SIEM connectors)
Technologies
LLMs · agentic frameworks · ML models · AWS · Azure · GCP · SIEM · GRC · REST · webhooks · SSO/SAML
About SecurityScorecard
Continuous cybersecurity ratings platform for 25,000+ orgs to monitor security posture across digital footprints; uses patented tech to rate 12M+ companies globally.
Private Late
Source and classification
Production engineering · Evidence for this classification:
annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Role: SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and turn raw security data into decisions executives act on. You'll deploy onsite, learn the customer's workflow, data, and decision logic firsthand, and build SecurityScorecard directly into how they already operate, closing gaps and creating new value instead of bolting on a generic integration. We're an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by
More from the job description
About SecurityScorecard: SecurityScorecard is the global leader in cybersecurity ratings, with over 12 million companies continuously rated, operating in 64 countries. Founded in 2013 by security and risk experts Dr. Alex Yampolskiy and Sam Kassoumeh and funded by world-class investors, SecurityScorecard’s patented rating technology is used by over 25,000 organizations for self-monitoring, third-party risk management, board reporting, and cyber insurance underwriting; making all organizations more resilient by allowing them to easily find and fix cybersecurity risks across their digital footprint. Headquartered in New York City, our culture has been recognized by Inc Magazine as a "Best Workplace,” by Crain’s NY as a "Best Places to Work in NYC," and as one of the 10 hottest SaaS startups in New York for two years in a row. Most recently, SecurityScorecard was named to Fast Company’s annual list of the World’s Most Innovative Companies for 2023 and to the Achievers 50 Most Engaged Workplaces in 2023 award recognizing “forward-thinking employers for their unwavering commitment to employee engagement.” SecurityScorecard is proud to be funded by world-class investors including Silver Lake Waterman, Moody’s, Sequoia Capital, GV and Riverwood Capital. About the Role: SecurityScorecard is hiring a Senior Forward Deployed Engineer to embed with our most strategic customers and tur [... source excerpt omitted ...] on a generic integration. We're an AI product company at our core, so our FDEs build AI-first: using LLMs and modern AI tooling by default, and applying real data science to help customers quantify risk in terms finance already trusts. What You'll Do Deploy onsite with strategic customers to map their security, risk, and compliance workflows end to end, and find where value is leaking through manual effort or disconnected tools Gather requirements from practitioners and executives, and understand the dependencies across their people, process, and data before proposing a solution Weave SecurityScorecard into the customer's existing data, logic, and process, rather than forcin [... source excerpt omitted ...] ntegration Build AI-native solutions by default: apply LLMs, ML models, and modern AI tooling to automate analysis and cut manual toil Run data analysis and data science work on customer and platform data, for example translating letter-grade ratings into financial terms like Annualized Loss Expectancy (ALE), Value at Risk (VaR), and ROI Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems (SIEM, GRC, ticketing, data warehouses, and more) Architect and deploy solutions across AWS, Azure, and GCP environments to match each customer's cloud footprint Prototype rapidly in the field, then harden solutions into supportable, product
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