Senior Principal Technical Product Manager (AI Security)
Контакты
248 600 - 373 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
aicybersecurityoauthtechnical product managementred teamingmodel context protocolguardrailsdata loss preventionagentic identityai gateways
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$249к-373к/год
$180к$210кмедиана$230к
По похожим ролям (50) ~ $210к/год
На СНГ рынке: $4.1к/мес ($3.5к - $5.7к)
91
Крутая вакансия
развернуть
Чётко очерченная роль с заметным влиянием на AI-безопасность в известной кибербезопасной компании, зарплата выше рыночного ориентира и работа с новыми направлениями.
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На волне AI-безопасностиЗарплата выше рынкаПередовые технологииПонятная зона ответственности
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Principal Technical Product Manager (AI Security) (AI Security): Leading 0-to-1 product strategy, ecosystem integrations, and secure deployment architecture for an AI security portfolio with an accent on foundation-model partnerships, MCP gateways, agentic identity, guardrails, and red-teaming. Focus on co-developing secure API standards, prototyping AI security controls, and translating complex enterprise deployments into core product and model-development requirements.
Location: Hybrid in San Jose or Seattle, United States
Annual base pay: $248,600–$373,000
Company
hirify.global develops cybersecurity and application delivery solutions that help organizations create, secure, and run digital applications.
What you will do
Lead 0-to-1 product strategy and technical partnerships with major foundation-model providers.
Co-develop secure-by-design API standards, context-passing patterns, zero-trust data boundaries, and model security integrations.
Define requirements and prototypes for AI Gateway and Model Context Protocol Gateway capabilities.
Productize AI guardrails, prompt shields, firewall controls, DLP, and automated LLM red-teaming and evaluation pipelines.
Serve as the technical point of contact for enterprise design partners during complex AI deployments.
Collaborate with Forward Deployed Engineers to architect, install, troubleshoot, and translate field feedback into platform and model roadmaps.
Requirements
8+ years of experience in technical product management, systems architecture, or engineering in cybersecurity, cloud security, or platform engineering.
3+ years of dedicated AI/ML security or engineering experience.
Practical knowledge of the Model Context Protocol, remote MCP server governance, and secure routing protocols.
Hands-on experience with agentic frameworks such as LangChain, AutoGen, CrewAI, or LlamaIndex.
Knowledge of workload identity, non-human identity governance, machine-to-machine OAuth, prompt-injection defense, and data-extraction prevention.
BS or MS in Computer Science, Computer Engineering, or an equivalent technical field.
Culture & Benefits
Collaborative work across product, engineering, model providers, and enterprise design partners.
Opportunity to work on next-generation AI security products and complex production deployments.
Potential incentive compensation, bonuses, restricted stock units, and employee benefits.
Equal employment opportunities and reasonable accommodations are available.
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