1 day ago

Security engineer, detection and response

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Build and deploy AI-specific detection and automated response systems to protect the AI platform, training data, and model deployments. You’ll design detection strategies for threats like prompt injection and data poisoning, create detection-as-code with telemetry and dashboards, and coordinate incident response across Cloud, AppSec, Enterprise, and AI Security. You’ll also run proactive threat hunting across GPU clusters and maintain a 24/7 on-call rotation.

Location: San Francisco, Seattle, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Design and implement detection strategies for AI-specific threats such as prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training data or model weights.
•Build automated response playbooks and orchestration workflows to contain threats and remediate compromised inference endpoints.
•Lead security incident response coordination and perform forensic investigations into training pipeline attacks and model manipulation attempts while drafting incident communications.
•Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs and reproducing AI-specific vulnerabilities from research.
•Create detection-as-code with version control and automated deployment, onboard telemetry, and maintain dashboards tracking model security metrics and access to sensitive research data.

Pay and Benefits

Salary: USD 131,800 - 257,700 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionPaid Parental401kEquityLearning BudgetWellness Stipend

Key Requirements

•3-5+ years in security operations, detection engineering, or incident response with a track record stopping sophisticated production attacks.
•Strong programming skills in Python and/or KQL/SPL to build custom detection logic and automate response workflows.
•Experience with SIEM platforms, detection technologies, and forensic investigation techniques for novel attack techniques.
•Ability to secure high-value intellectual property, automate incident response, and identify security gaps through proactive threat hunting.
•Deep alignment with cross-team collaboration across security, infrastructure, and AI research.

Experience:AI/ML infrastructureHigh-performance computingDistributed systemsIncident responseDetection engineering

Skills:Incident response coordinationForensic investigationThreat huntingCross-functional collaborationSelf-directed execution

Tech Stack:PythonKQLSPLSIEMGPU clusters

Company Brief

Writer

Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: New York, United States

Founded: 2019

Website LinkedIn

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Writer

1 day ago

Security engineer, detection and response

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: San Francisco, Seattle, New York

Workplace: Hybrid

Employment Type: Full time

Job Function: Cybersecurity

Seniority: Mid level

Key Responsibilities

•Design and implement detection strategies for AI-specific threats such as prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training data or model weights.
•Build automated response playbooks and orchestration workflows to contain threats and remediate compromised inference endpoints.
•Lead security incident response coordination and perform forensic investigations into training pipeline attacks and model manipulation attempts while drafting incident communications.
•Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs and reproducing AI-specific vulnerabilities from research.
•Create detection-as-code with version control and automated deployment, onboard telemetry, and maintain dashboards tracking model security metrics and access to sensitive research data.

Pay and Benefits

Salary: USD 131,800 - 257,700 annually

Equity and Bonus:Equity

Perks:Paid LeaveHealth InsuranceDentalVisionPaid Parental401kEquityLearning BudgetWellness Stipend

Key Requirements

•3-5+ years in security operations, detection engineering, or incident response with a track record stopping sophisticated production attacks.
•Strong programming skills in Python and/or KQL/SPL to build custom detection logic and automate response workflows.
•Experience with SIEM platforms, detection technologies, and forensic investigation techniques for novel attack techniques.
•Ability to secure high-value intellectual property, automate incident response, and identify security gaps through proactive threat hunting.
•Deep alignment with cross-team collaboration across security, infrastructure, and AI research.

Experience:AI/ML infrastructureHigh-performance computingDistributed systemsIncident responseDetection engineering

Skills:Incident response coordinationForensic investigationThreat huntingCross-functional collaborationSelf-directed execution

Tech Stack:PythonKQLSPLSIEMGPU clusters

Company Brief

Writer

Provides an AI writing platform for enterprises that helps teams create on-brand, high-quality content at scale using customizable style guides, real-time suggestions, and governance controls.

Industry: AI & Machine Learning

Company Size: Medium (51 to 250 employees)

Growth: Growth Stage Startup

Funding: Series B

Headquarters: New York, United States

Founded: 2019

Website LinkedIn