Cyber Operations Strategist, Critical Harm Operations

OpenAI
Ontario, Toronto
Workplace: RemoteFull timeCAD 140,000 - 188,000 annuallyFunction: CybersecurityExperience: 8+ yearsSkills: ["Deep reasoning","Independent judgment","Clear communication","Discretion","Cross-audience communication"]

Own the Cyber Operations operating model for Critical Harm Operations, improving quality, scalability, and technical rigor across SOPs, escalation paths, and vendor capability. Serve as the senior cyber expert for complex decisions spanning ChatGPT, API, Codex, agents, and emerging surfaces. Translate policy ambiguity into decision rules and training, build durable quality loops (golden sets, holdouts, adjudication, taxonomies), and create practical tools and automations to reduce manual effort.

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FursaFursa
OpenAI
OpenAI
2 days ago

Cyber Operations Strategist, Critical Harm Operations

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Own the Cyber Operations operating model for Critical Harm Operations, improving quality, scalability, and technical rigor across SOPs, escalation paths, and vendor capability. Serve as the senior cyber expert for complex decisions spanning ChatGPT, API, Codex, agents, and emerging surfaces. Translate policy ambiguity into decision rules and training, build durable quality loops (golden sets, holdouts, adjudication, taxonomies), and create practical tools and automations to reduce manual effort.
Location: Ontario, Toronto
Workplace: Remote
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Mid level

Key Responsibilities

  • •Drive the Cyber Operations operating model across domain priorities, SOPs, escalation paths, quality health, vendor capability, roadmap inputs, and trusted access strategy inputs.
  • •Act as the senior cyber expert for complex/high-risk decisions across ChatGPT, API, Codex, agents, and emerging product surfaces.
  • •Translate policy ambiguity, quality misses, appeals, and reviewer disagreement into decision rules, calibration examples, training, and tooling requirements.
  • •Build durable operating systems and quality loops including golden sets, holdouts, double-labeling, adjudication, error taxonomies, reviewer calibration, and automation evaluations.
  • •Develop hands-on solutions (SQL analyses, scripts, dashboards, LLM eval workflows, evidence enrichment, routing logic, and lightweight automations) to improve decision quality and reduce manual effort.

Pay and Benefits

Salary: CAD 140,000 - 188,000 annually
Equity and Bonus:Equity

Key Requirements

  • •8+ years of hands-on cybersecurity experience in areas such as offensive security, threat intelligence, incident response, security research, red teaming, application security, DFIR, or malware analysis.
  • •Strong reasoning about attacker tradecraft, including vulnerability exploitation, credential abuse, malware, persistence, evasion, exfiltration, cloud/identity abuse, and ambiguous dual-use activity.
  • •Experience building or improving high-stakes operations, reviewer programs, QA systems, escalation workflows, or vendor/BPO programs.
  • •Ability to convert complex cyber and policy judgment into reviewer-usable SOPs, decision trees, training, and concise written recommendations.
  • •Comfort using SQL and common engineering/tooling languages (Python, C/C++, JavaScript, PowerShell, Bash), plus APIs and LLM tooling to solve operational problems.
Experience:8+ yearsOffensive securityThreat intelligenceIncident responseSecurity researchRed teamingApplication securityDFIRMalware analysis
Skills:Deep reasoningIndependent judgmentClear communicationDiscretionCross-audience communication
Tech Stack:SQLPythonC/C++JavaScriptPowerShellBashAPIsLLM toolingDashboardsLLM eval workflows

Company Brief

OpenAI
Develops and deploys advanced generative AI models (including ChatGPT and DALLĀ·E) and AI infrastructure, providing APIs and consumer products to accelerate safe AGI for broad benefit.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Hectocorn (USD 100B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2015
Glassdoor
Glassdoor: 4.4
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