Forward Deployed Engineer (AI/Cybersecurity)

Location: Remote, Americas; travel to customer sites is required for workshops, deployments, and escalations.

Company

hirify.global provides an AI-driven cybersecurity platform that gives enterprise executives a quantified, real-time view of security posture and serves customers including Fortune 500 companies.

What you will do

• Own technical onboarding and delivery for assigned enterprise customers, from scoping and planning through configuration, integration, deployment, and value confirmation.
• Collect and assess customer environment details, including data sources, authentication, permissions, network constraints, payload formats, and expected behavior.
• Configure and customize the SAFE Platform, build workflows and AI agents, and develop customer-specific solutions using SAFE and third-party APIs.
• Write scripts, lightweight automations, and reusable tooling for onboarding, data loading, integration setup, and repetitive delivery tasks.
• Investigate integration and data-flow issues using logs, telemetry, and platform knowledge; communicate evidence-based problem statements to engineering and stay involved through resolution or workaround.
• Bridge customer, engineering, and product teams, provide technical guidance, identify cross-customer patterns, and use AI tooling to analyze logs, draft scripts, and prepare customer materials.

Requirements

• Strong ownership, accountability, curiosity, creative thinking, and systematic problem-solving.
• Experience building scripts, delivering products, and working directly with customers, gained through a customer-facing technical role or substantial project work.
• Experience onboarding customers or users from technical product setup through live use.
• API fluency, including reading documentation, calling and chaining endpoints, handling authentication, and interpreting responses and errors.
• Debugging and troubleshooting skills, including moving from symptoms to evidence and root cause while respecting customer data-handling requirements.
• Excellent written and verbal communication, with the ability to explain technical findings and concepts to the target audience and demonstrate expert understanding of system architecture.
• Development experience writing scripts that call APIs, process data, and automate customer tasks; Python is the preferred language. Ability to review and challenge AI-generated code.
• Understanding of core cloud services and their implementation for customers and SAFE.
• Demonstrable use of AI tooling for troubleshooting, scripting, or automation, including understanding where the tools fell short.
• Ability to travel to customer sites.

Nice to have

• Exposure to cybersecurity, risk management, or security-tool integrations such as vulnerability scanners, SIEM, asset inventories, or identity providers.
• Bash or PowerShell experience.
• Customer-facing technical experience in forward-deployed, solutions, customer, or support engineering at a SaaS or enterprise software company.
• Experience working in distributed, multi-time-zone teams.

Culture & Benefits

• High-intensity, mission-driven environment focused on ownership, rigorous execution, direct feedback, and Tier-1 quality.
• Series C-funded company combining the stability of a well-funded category leader with a startup environment.
• Meaningful equity for employees.
• Unlimited leave and comprehensive medical and wellness benefits.
• Career advancement opportunities in a rapidly growing company.