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Senior Product Manager (AI)

139 900 - 274 800$
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 AI Product Manager (AI): Driving Copilot model capabilities, focusing on tool use to ensure high-quality, grounded, and cost-efficient responses. Focus on defining and building measurable evaluations with relevant datasets to demonstrate quality improvements.

Location: Expected to work from a designated hirify.global office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.

Salary: $139,900 – $274,800 per year

Company

hirify.global AI is pushing the boundaries of technology, creating unique and powerful products that will change lives.

What you will do

  • Develop and execute on LLM platform strategy for Copilot that extends language model’s capabilities.
  • Identify and prioritize platform, orchestration, and language model issues impacting quality and safety.
  • Define, deploy, and manage experiments in production, driving measurable improvements in relevance and engagement.
  • Partner with product teams to scale tool building and resolve dependencies.
  • Own the status of key projects, proactively identifying risks and proposing solutions.

Requirements

  • Bachelor’s Degree AND 5+ years of experience in product management OR equivalent experience.
  • 3+ years of experience leading ambiguous product areas, defining requirements, and developing roadmaps.
  • 2+ years of experience building ML-powered or LLM-powered products.
  • Hands-on experience with LLM APIs, embeddings, vector databases, and tool use.
  • Hands-on experience with prompt design, context window management, and model evaluation.

Nice to have

  • Experience building retrieval and/or recommendation systems, driving measurable improvements in relevance and engagement.
  • Experience building LLM applications with familiarity in agent and orchestration frameworks.
  • Technical depth in software development, data science, and machine learning.
  • Experience using and applying Large Language Models with prompt engineering and evaluation skills.

Culture & Benefits

  • Growth mindset and collaborative environment.
  • Focus on innovation and empowerment.
  • Values of respect, integrity, and accountability.
  • Culture of inclusion where everyone can thrive.

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