Technical Product Manager (AI Enablement)

Location: United States; remote workplace with a hybrid work model requiring 2–3 days in office.

Company

hirify.global provides cybersecurity services and platforms spanning identity and access management, exposure management, managed detection and response, and AI-enabled security operations.

What you will do

• Own the vision, roadmap, reliability, documentation, and adoption of the internal agentic harness.
• Define the lifecycle for agents and reusable skills, including building, evaluation, versioning, release, observation, and retirement.
• Build agent and skill evaluations, prototypes, and production improvements with AI-assisted development.
• Partner with Engineering on APIs, model context protocols, tool access, identity, permissions, data flows, observability, and failure handling.
• Manage the internal AI tools portfolio and make build, buy, integrate, automate, or stop decisions.
• Define metrics, plan rollouts, enable users, and improve product management operations through evidence capture and reusable templates.

Requirements

• 5+ years of experience in technical product management, platform product management, developer tools, internal products, or a related role.
• Hands-on experience building AI-assisted tools and reading, debugging, and changing production code.
• Experience with LLM tool calling, model context protocols (MCP), agent orchestration, and agent or prompt evaluation.
• Technical fluency with APIs, identity and permissions, events, logs, and cloud architectures.
• Experience managing cost, latency, and quality for LLM workloads.
• Strong judgment regarding privacy, permissions, auditability, responsible automation, and sensitive data.

Nice to have

• Experience in cybersecurity, managed services, or another operationally accountable environment.

Culture & Benefits

• Medical insurance covering employees and dependents.
• Life insurance and a retirement match program.
• Paid time off, sick and casual leave, maternity and paternity leave, and bereavement and volunteer time.
• Professional development reimbursement and access to LinkedIn Learning courses.
• Mobile phone reimbursement and a remote/hybrid work model.