Senior Forward Deployed Engineer

SecurityScorecard
United States
Workplace: RemoteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Communication","Bias toward action","Comfort with ambiguity"]

Embed with SecurityScorecard’s most strategic customers to map end-to-end security, risk, and compliance workflows, then weave data and decision logic into how they operate. Build AI-native solutions using LLMs and ML models, translate security findings into financial risk metrics, and design integrations and pipelines across AWS, Azure, and GCP. Prototype in the field, harden into production, and support go-lives while feeding insights back to the product roadmap.

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FursaFursa
SecurityScorecard
SecurityScorecard
1 day ago

Senior Forward Deployed Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Embed with SecurityScorecard’s most strategic customers to map end-to-end security, risk, and compliance workflows, then weave data and decision logic into how they operate. Build AI-native solutions using LLMs and ML models, translate security findings into financial risk metrics, and design integrations and pipelines across AWS, Azure, and GCP. Prototype in the field, harden into production, and support go-lives while feeding insights back to the product roadmap.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Deploy onsite with strategic customers to map security, risk, and compliance workflows and identify value leaks.
  • •Gather requirements across people, process, and data, then propose tailored solutions that fit existing workflows.
  • •Build AI-native solutions that automate analysis and reduce manual effort.
  • •Run data analysis and data science work to convert security ratings into financial risk terms like ALE, VaR, and ROI.
  • •Design and deploy integrations, pipelines, and tools connecting SecurityScorecard to customer systems and support go-lives while feeding insights to the roadmap.
Travel: High travel

Pay and Benefits

Perks:EquityHealth InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

  • •8+ years of software engineering experience with significant customer-facing forward deployed or solutions engineering work.
  • •Hands-on experience shipping AI-powered solutions using LLMs, agentic frameworks, or ML models.
  • •Strong data analysis/data science ability to turn raw data into actionable risk quantification (e.g., exposure and benchmarking).
  • •Full-stack fluency across backend services, APIs, scripting, and data pipelines/integration patterns (REST, webhooks, SSO/SAML, SIEM connectors).
  • •Experience architecting and deploying solutions across AWS, Azure, and GCP, plus enterprise discovery from practitioners to executive sponsors.
Experience:8+ yearsCybersecurityGRCRisk management
Skills:CommunicationBias toward actionComfort with ambiguity
Languages:English
Tech Stack:LLMsAgentic frameworksMachine learningRESTWebhooksSSOSAMLSIEMAWSAzureGCPData pipelinesIntegrationsAPIs

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

SecurityScorecard
Provides a cybersecurity ratings platform that continuously assesses and monitors organizations' and third-party vendors' security posture using external data and analytics to help enterprises manage risk, prioritize remediation, and inform vendor risk decisions.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: New York, United States
Founded: 2013
WebsiteLinkedIn