OpenAI

2 weeks ago

Field Security Specialist (Cyber Security Solutions Engineer)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Partner with Enterprise customers to help them adopt OpenAI safely and achieve business value across the OpenAI suite. Lead discovery of high-impact cybersecurity workflows (AppSec, DevSecOps, SOC/IR, detection engineering, GRC automation), deliver demos, workshops, and proofs of concept, and scope pilots with success criteria, evaluations, and safety boundaries. Translate between CISOs and practitioners while creating reusable field assets and feeding product and security feedback loops.

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
•Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
•Scope pilots with success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
•Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
•Translate between executive buyers and hands-on security practitioners, create reusable field assets, and feed recurring customer requirements and product gaps back to Product, Engineering, Security, and GTM teams.

Key Requirements

•Deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
•Experience in customer-facing advisory, consulting, solutions engineering, security architecture, or technical field roles.
•Ability to build demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, and scanners.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
•Comfort scoping pilots from ambiguous customer pain, including success metrics, required data, integrations, evaluation criteria, deployment assumptions, and decision gates.

Skills:CommunicationAdvisoryEvidence-first judgment

Tech Stack:OpenAIAPIsCodexAgentic workflowsRetrievalStructured outputsTool/function callingSandboxingGuardrailsTelemetryHuman-in-the-loopGitHub workflowsCI/CDLogsTicketsScannersSOC/IRDetection engineeringGRC automationSecure SDLC

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·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: 4.4

Website LinkedIn Glassdoor

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OpenAI

2 weeks ago

Field Security Specialist (Cyber Security Solutions Engineer)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Hybrid

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Lead cyber workflow discovery with customers across AppSec, DevSecOps, vulnerability management, SOC/IR, detection engineering, red team, cloud security, and GRC automation.
•Build and deliver customer-facing demos, workshops, proofs of concept, and reference architectures for AI-enabled security workflows.
•Scope pilots with success criteria, data requirements, integrations, evaluation methods, safety boundaries, and human approval points.
•Advise customers on safe implementation patterns, including tool/function calling, structured outputs, sandboxing, data handling, guardrails, auditability, and approval-gated side effects.
•Translate between executive buyers and hands-on security practitioners, create reusable field assets, and feed recurring customer requirements and product gaps back to Product, Engineering, Security, and GTM teams.

Key Requirements

•Deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
•Experience in customer-facing advisory, consulting, solutions engineering, security architecture, or technical field roles.
•Ability to build demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, and scanners.
•Ability to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
•Comfort scoping pilots from ambiguous customer pain, including success metrics, required data, integrations, evaluation criteria, deployment assumptions, and decision gates.

Skills:CommunicationAdvisoryEvidence-first judgment

Company Brief

OpenAI

Develops and deploys advanced generative AI models (including ChatGPT and DALL·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: 4.4

Website LinkedIn Glassdoor