Senior Forward Deployed Engineer

SecurityScorecard
Canada
Workplace: RemoteFull timeCAD 175,000 - 240,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 6+ yearsSkills: ["Communication","Problem-solving","Bias toward action"]

Embed with SecurityScorecard’s most strategic customers to map their security, risk, and compliance workflows end to end and deliver solutions that fit how they already operate. Build AI-native capabilities using LLMs, ML models, and data science to translate raw security signals into financial risk decisions. Design integrations and data pipelines across AWS, Azure, and GCP, prototype in the field, then harden into production-quality software while bridging Product, Engineering, and customer teams.

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FursaFursa
SecurityScorecard
SecurityScorecard
1 week ago

Senior Forward Deployed Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Embed with SecurityScorecard’s most strategic customers to map their security, risk, and compliance workflows end to end and deliver solutions that fit how they already operate. Build AI-native capabilities using LLMs, ML models, and data science to translate raw security signals into financial risk decisions. Design integrations and data pipelines across AWS, Azure, and GCP, prototype in the field, then harden into production-quality software while bridging Product, Engineering, and customer teams.
Location: Canada
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 where value leaks through manual or disconnected processes.
  • •Gather requirements across practitioners and executives and propose solutions that account for dependencies across people, process, and data.
  • •Weave SecurityScorecard into customers’ existing data, logic, and workflows rather than forcing generic integration changes.
  • •Build AI-native solutions using LLMs/ML models and run analysis to translate security ratings into financial risk concepts (e.g., ALE, VaR, ROI).
  • •Architect and deploy integrations, pipelines, and tools across AWS, Azure, and GCP environments; prototype in the field and harden into production-ready software.
Travel: High travel

Pay and Benefits

Salary: CAD 175,000 - 240,000 annually
Equity and Bonus:Equity
Perks:EquityHealth InsurancePaid LeaveParental LeaveLearning Budget

Key Requirements

  • •6+ years of engineering or technical deployment experience with customer-facing work.
  • •Hands-on experience building AI-powered products using LLMs, agentic frameworks, or ML models as core components.
  • •Ability to perform data analysis/data science to turn raw data into actionable risk quantification (e.g., benchmarking and exposure modeling).
  • •Proven ability to ship production code independently in fast-moving, ambiguous, customer-facing environments.
  • •Full stack fluency across backend services, APIs, scripting, data pipelines, and integrations (REST, webhooks, SSO/SAML, SIEM connectors).
Experience:6+ yearsCybersecurityRisk managementData science
Skills:CommunicationProblem-solvingBias toward action
Tech Stack:LLMsAIAgentic frameworksMachine learningML modelsData scienceAPIsRESTWebhooksSSOSAMLSIEM connectorsSIEMGRCData pipelinesData warehousesAWSAzureGCPProduction code

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