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3 дня назад

AI Product Manager (Applied AI)

170 000 - 220 000$
Формат работы
hybrid
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

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TL;DR
AI Product Manager (Applied AI): Building production AI-enabled products that transform complex customer and operational workflows with an accent on workflow discovery, agentic systems, and measurable operational value. Focus on designing buildable specifications, establishing AI evaluation frameworks, and leading adoption and post-launch measurement.

Location: Hybrid in San Francisco or San Diego, United States

Salary: $170,000–$220,000 base plus potential bonus; another listing states $180,000–$240,000.

Company

hirify.global is a specialist recruitment partner connecting AI, machine learning, data, and engineering talent with technology companies. The client is an established, high-growth financial technology business rebuilding customer and operational workflows around an AI-first operating model.

What you will do

  • Lead structured discovery with subject-matter experts to map workflows, decision points, exceptions, pain points, bottlenecks, and current performance.
  • Reimagine manual processes from first principles around AI and turn them into production-ready products.
  • Write detailed solution and design briefs, requirements, and technical specifications for engineering delivery.
  • Coordinate specialist AI engineering partners through build reviews, feedback cycles, and acceptance.
  • Partner with data science on evaluation rubrics, golden datasets, quality-control processes, and production-readiness thresholds.
  • Lead shadow runs, stakeholder adoption, and post-launch measurement of operational value.

Requirements

  • 3–5 years of experience in product management, product analysis, or a closely related discipline.
  • Hands-on experience with AI-enabled products, LLM-based applications, or agentic systems; traditional software delivery or conventional ML experience alone is not sufficient.
  • Evidence of taking ambiguous problems through discovery, solution design, and delivery rather than owning only a narrow feature set.
  • Strong written product skills, including process maps, design briefs, requirements, or technical specifications.
  • Technical and quantitative fluency sufficient to work credibly with data scientists and AI engineers and challenge proposed solutions.
  • High-agency working style suited to a fast-moving, execution-focused environment.
  • Ability to conduct detailed SME discovery, create precise buildable specifications, rethink workflows from an AI-first perspective, and own a workstream end-to-end.
  • Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related field.
  • Experience in fintech, payments, lending, insurance, mortgage, or another high-velocity product environment is strongly preferred.

Nice to have

  • Experience in fintech, payments, lending, insurance, mortgage, or another high-velocity product environment.

Culture & Benefits

  • Permanent position in a small, high-impact AI product organisation.
  • Production AI deployments, senior-level sponsorship, and a defined transformation roadmap are already in place.
  • Opportunity to own 0-to-1 work across product discovery, AI design, data science, engineering, and real-world adoption.
  • Opportunity to build deep applied AI expertise and influence how the wider organisation operates.

Hiring process

  • Specific implementation frameworks and programming languages will be discussed during the process.

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