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4 дня назад

Staff Product Manager (AI)

198 500 - 233 500$
Формат работы
remote (только USA)
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

Текст:
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TL;DR
Staff Product Manager (AI): Defining AI product strategy and developing AI-powered investigation experiences for observability, including natural-language querying, Skills, Auto-Investigations, and collaborative Canvas capabilities with an accent on customer research, technical judgment, and cross-portfolio alignment. Focus on evaluating RAG, fine-tuning, and agentic systems, identifying observability challenges in AI adoption, and translating emerging technology into production customer value.

Location: Remote - United States

Base salary: $198,500–$233,500 USD per year, based on level of experience.

Company

hirify.global provides observability and developer tools, including AI-powered investigation capabilities for engineering teams.

What you will do

  • Define AI product strategy by synthesizing AI trends, customer needs, and technical capabilities into investment recommendations.
  • Lead product direction for Canvas and Agentic AI teams building natural-language investigation, Skills, Auto-Investigations, and collaborative Canvas experiences.
  • Research how customers adopt AI in engineering workflows and identify emerging market and observability needs.
  • Partner with product, engineering, design, research, development, and customer-facing teams to enable AI innovation across the portfolio.
  • Evaluate AI approaches and trade-offs, including RAG, fine-tuning, agentic systems, and model selection.
  • Communicate hirify.global’s perspective on AI observability through customer engagement, writing, speaking, and community participation.

Requirements

  • 5+ years of product management experience, including at least 1+ year shipping AI/ML-powered products.
  • Experience taking AI features from concept to customer impact, including learning from unsuccessful approaches.
  • Deep understanding of how engineering teams build, deploy, and operate AI systems, plus familiarity with current AI/ML techniques.
  • Ability to synthesize research, customer feedback, and technical trends into coherent strategy and make decisions under ambiguity.
  • Strong customer empathy, pattern recognition, and judgment about when to reject or defer technology investments.
  • Technical depth sufficient to earn respect from engineers and architects, with an understanding of observability principles and production systems.
  • Ability to evaluate trade-offs between AI approaches such as RAG and fine-tuning.
  • Excellent written and verbal communication, including the ability to explain complex ideas to varied audiences.
  • Ability to influence without authority across product, engineering, and go-to-market teams and collaborate without centralizing control.
  • Demonstrated ability to stay current in rapidly changing AI domains, with intellectual humility and enthusiasm for learning.

Culture & Benefits

  • Fully distributed, distributed-first work environment with trust, autonomy, and accountability from the first day.
  • Transparent pay levels based on experience and generous equity through an employee-friendly stock program.
  • Unlimited PTO and up to 16 weeks of paid parental leave regardless of path to parenthood.
  • Home office, co-working, and internet stipend, plus full employee benefits coverage and additional dependent coverage.
  • Annual development allowance and an inclusive, equitable workplace with reasonable accommodations available.
  • Visa sponsorship and visa transfers are not currently supported; hired candidates must verify identity and eligibility to work.

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