Field Security Specialist – Cyber Security Solutions Engineer

Jobtailor; California (MO); On-site; USD 120,000 - 170,000; Full time

Job summary

Jobtailor is seeking a security-focused solutions engineer to lead cyber workflow discovery and deliver demos, proofs of concept, and reference architectures for AI-enabled security workflows. You will scope pilots with clear success criteria and advise customers on safe implementations, including guardrails and human-in-the-loop reviews.

You will translate between executive buyers and hands-on practitioners, create reusable assets, and channel feedback to Product, Engineering, Security, and GTM

Qualifications

• Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
• Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role.
• Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
• Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
• Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
• Communicate clearly with both CISOs and hands-on practitioners.
• Have strong evidence-first judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating claims.
• Are excited to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.

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 clear 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, helping each audience understand value, risk, and practical next steps.
• Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
• Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams.

Skills

Application Security

Cloud Security

Vulnerability Management

Secure SDLC

Incident Response

Detection Engineering

API Development

CI/CD Systems

GitHub Workflows

Data Handling

Tools

Codex

Scripts

CLIs

Security Tooling

Logs

Tickets

Scanners

Job description

• 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 clear 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, helping each audience understand value, risk, and practical next steps.
• Create reusable field assets such as demo narratives, playbooks, FAQs, objection handling, qualification guides, assessment templates, and competitive positioning.
• Bring recurring customer requirements, product gaps, blockers, and high-value cyber workflows back to Product, Engineering, Security, and GTM teams.

Requirements

• Have deep practitioner credibility across cybersecurity domains such as application security, cloud security, identity, vulnerability management, secure SDLC, incident response, detection engineering, or attacker tradecraft.
• Have worked in a customer-facing, advisory, consulting, solutions engineering, security architecture, or technical field role.
• Can build credible demos or prototypes using APIs, Codex, agents, scripts, CLIs, GitHub workflows, CI/CD systems, logs, tickets, scanners, or other common security tooling.
• Understand how to design AI workflows with retrieval, structured outputs, tool use, evals, guardrails, telemetry, and human-in-the-loop review.
• Are comfortable scoping pilots from ambiguous customer pain, including success metrics, required data, workflow integrations, evaluation criteria, deployment assumptions, and decision gates.
• Communicate clearly with both CISOs and hands-on practitioners.
• Have strong evidence-first judgment: you validate findings, separate true positives from noise, document assumptions, and avoid overstating claims.
• Are excited to build leverage for the broader field by turning one-off customer work into repeatable assets and product feedback loops.

Demonstrates expertise in cybersecurity domains, including Application Security, Cloud Security, and Vulnerability Management, while effectively communicating with both technical practitioners and executive stakeholders. Capable of designing AI-enabled security workflows and creating reusable assets to enhance customer engagement and product feedback.

Highest-signal resume keywords

• Cybersecurity Domain Expertise
• Customer-Facing Advisory Experience
• AI Workflow Design
• Demo and Prototype Development
• Evidence-First Judgment

ATS Optimization Keywords

Hard Skills

• Application Security
• Cloud Security
• Vulnerability Management
• Secure SDLC
• Incident Response
• Detection Engineering
• API Development
• CI/CD Systems
• GitHub Workflows
• Data Handling

Soft Skills

• Clear Communication
• Advisory Skills
• Problem-Solving
• Collaboration
• Judgment

Industry Keywords

• DevSecOps
• SOC/IR
• Detection Engineering
• Red Team
• GRC Automation
• Human-in-the-Loop Review
• Guardrails
• Auditability

Tools & Technologies

• Codex
• Scripts
• CLIs
• Security Tooling
• Logs
• Tickets
• Scanners