aiproduct managementdata sciencellmmachine learningproduct strategyai agentsresponsible ai
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Крутая вакансия
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Чётко очерченная руководящая роль в AI даёт реальное влияние на стратегию и рабочие продукты, но доступна только тем, кто имеет право работать в США.
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Только для СШАЧёткая зона ответственностиРабота с AIХороший пакет льготAI в коммерции
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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