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8 дней назад

Senior Principal Technical Product Manager (AI Security)

248 600 - 373 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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