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Senior Product Manager (AI)

Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior Product Manager (AI/Analytics): Leading the development of the Analytics Agent and AI-driven analytics UX to help marketers gain trustworthy insights from their data with an accent on LLM grounding, data visualization, and query infrastructure. Focus on building a high-accuracy AI agent, designing NLI-driven dashboards, and modernizing the underlying analytics platform for enterprise customers.

Location: Must be based in the United States

Company

hirify.global empowers creators to own their destiny by making first-party data accessible and actionable for ecommerce and beyond.

What you will do

  • Drive strategy and roadmap for the Analytics Agent, focusing on trust, intelligence, and experience.
  • Develop a quality measurement system including evals and LLM-as-judge scoring.
  • Define and ship AI-native analytics UX, including NLI-driven visualization and dashboards.
  • Manage the product side of query infrastructure modernization and migration.
  • Collaborate on multi-account analytics experiences for Enterprise Organizations.
  • Author rigorous product specs covering edge cases, data semantics, and technical tradeoffs.

Requirements

  • 3–5+ years of product management experience owning complex product areas.
  • Hands-on experience building AI/ML products with a focus on model quality and data grounding.
  • Strong background in analytics, reporting, or BI products.
  • Proven UX judgment for translating complex data infrastructure into intuitive patterns.
  • Technical fluency in LLM systems (evals, tool-use, retrieval) and query infrastructure.
  • Must be based in the United States.

Nice to have

  • Experience with in-product AI assistants or chatbots in B2B SaaS.
  • Knowledge of semantic data layers or query abstraction.
  • Background in e-commerce, martech, or CDP/CRM analytics.
  • Experience supporting Enterprise customers with multi-brand data needs.

Culture & Benefits

  • Comprehensive health, welfare, and wellbeing benefits.
  • Annual cash bonus plan and equity participation.
  • Inclusive culture valuing unique backgrounds and perspectives.
  • Focus on empowering creators and delighting customers.

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