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5 дней назад

Principal Product Manager, AI

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
Principal Product Manager, AI (AI/ML and Agentic Commerce): Defining AI product strategy for proprietary ML models, agent infrastructure, LLM evaluation systems, and a creator-commerce knowledge graph with an accent on model capabilities, data quality, responsible AI, and customer-facing agent experiences. Focus on designing evaluation frameworks, investigating non-deterministic model behavior, balancing quality, reliability, latency, and cost, and translating AI capabilities into products for creators, brands, and consumers.

Location: United States; remote-first environment

Company

hirify.global is a global technology platform that connects lifestyle creators, brands, and shoppers through creator-commerce products, a shopping app, and proprietary commerce intelligence.

What you will do

  • Define the long-term AI product vision and multi-quarter strategy for proprietary ML models, agent infrastructure, LLM judges, evaluation systems, and the knowledge graph.
  • Partner with Machine Learning, Data Science, and Engineering to translate customer problems into model capabilities, experiments, data requirements, and product decisions.
  • Define how agents understand customer goals, use tools and information, request approval, and provide transparency, control, and override capabilities.
  • Own evaluation datasets, launch criteria, failure analysis, and production monitoring across task success, reliability, latency, and cost.
  • Advance AI evaluation frameworks and quality standards across hirify.global while helping product teams prepare AI products for launch.
  • Identify AI opportunities for creators, brands, and consumers; influence product strategy, technical direction, investment decisions, and responsible AI practices.

Requirements

  • 8+ years of Product Management experience, including complex technical products, multi-quarter strategy, and influence on product direction and business outcomes.
  • Experience shipping and improving AI/ML products in production, including LLM applications, AI agents, or model-backed workflows with measurable customer adoption and business impact.
  • Strong technical fluency and direct experience with ML engineers and applied scientists across model requirements, experiments, model behavior, system architecture, data quality, reliability, latency, and cost.
  • Deep expertise in evaluating AI-powered products and non-deterministic model or agent behavior, including evaluation frameworks, failure analysis, and production-readiness practices.
  • Hands-on experience with prototypes, evaluation tools, and data analysis for validating product ideas, diagnosing AI behavior, and improving product quality.
  • Strong product judgment and ability to translate technical capabilities into customer experiences while balancing business priorities and technical constraints.
  • Experience leading complex cross-functional initiatives, influencing strategic product and investment decisions, and aligning senior leaders without direct authority.
  • Understanding of responsible AI, including reliability, privacy, safety, transparency, and human oversight.
  • Bachelor's degree or equivalent practical experience; opportunity-focused, prioritization-oriented, adaptable, growth-minded, and committed to operational excellence.
  • Authorization to work in the United States is required; no new employment visa sponsorship is offered.

Culture & Benefits

  • Remote-first, productivity-first work environment.
  • Competitive compensation and benefits package for full-time salaried employees.
  • 401(k) with company matching, medical, vision, and dental insurance.
  • Paid maternity and paternity leave, Summer Fridays, and flexible PTO.
  • Values include winning, commitment to the journey, and working well; temporary full-time benefits eligibility may vary.

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