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1 день назад

Product Manager (AI Agents & MCP Tools)

129 000 - 193 500$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Product Manager (AI Agents & MCP Tools): Building and shipping AI agents and MCP tools that apply existing large language models to real cyber threat intelligence workflows with an accent on agent orchestration, tool design, and rigorous evaluation. Focus on analyzing tool usage, measuring quality and performance, and prioritizing capabilities that deliver customer value across the United States.

Location: Remote within the United States; Boston, MA is listed as the location.

Salary: $129,000–$193,500 base salary, with potential incentive compensation, equity, and benefits.

Company

hirify.global provides cyber threat intelligence to more than 1,900 customers, including over 50% of Fortune 100 companies.

What you will do

  • Own the lifecycle of AI agents from design and prototyping through evaluation, customer validation, and deployment.
  • Build agents that orchestrate LLMs and tools for real intelligence use cases while balancing capability, latency, and cost.
  • Design and improve the MCP tool surface, including tool descriptions, coverage, invocation flows, and integrations.
  • Analyze usage patterns, define performance metrics, and maintain evaluation suites to identify failures and prevent regressions.
  • Work directly with customers and collaborate with intelligence, engineering, and design teams to validate workflows and deliver reliable capabilities.
  • Prioritize the roadmap and establish repeatable practices for safely building, evaluating, and shipping agents and tools.

Requirements

  • 3–5 years of experience in product management, technical program management, or a hands-on technical role building AI/LLM-powered products, agents, or tool integrations.
  • Hands-on experience building LLM-powered agents or workflows, or the technical aptitude to ramp up quickly.
  • Working knowledge of major LLMs, including their capabilities, limitations, and cost tradeoffs.
  • Ability to work in GitHub, read and reason about code, and collaborate credibly with engineers.
  • Experience defining quality measures, writing evaluations, analyzing usage data, prioritizing requirements, and validating solutions with customers.
  • Cybersecurity experience is not required but can support a faster ramp-up.

Culture & Benefits

  • Work with an international workforce representing more than 40 nationalities.
  • Culture emphasizes high standards, inclusion, and ethical conduct.
  • Potential incentive compensation and equity.
  • Medical, dental, vision, and life insurance.
  • 401(k) benefits may be available.

Hiring process

  • Final-round candidates must complete an in-person interview or a scheduled video conference with the hiring manager.
  • Interviews are not conducted through instant messaging or text.

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