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8 дней назад

Builder Product Manager I (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
junior
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
Builder Product Manager I (AI): Defining AI-agent missions and modernizing ERP workflows for lumber and building materials businesses with an accent on agentic UX, business-logic translation, and measurable evaluation. Focus on building mission specifications, encoding domain constraints, prototyping prompt chains, and creating ground-truth datasets for reliable agent behavior.

Location: Remote (US)

Company

hirify.global provides ERP software for small and mid-size lumberyards, building material dealers, and hardware stores, covering point of sale, inventory, special orders, delivery, and contractor accounts.

What you will do

  • Define structured mission specifications, agent goals, tool constraints, success evaluations, and failure conditions for AI-enabled ERP capabilities.
  • Interview subject matter experts and translate ERP business logic into system prompts and agentic constraints.
  • Co-build evaluation datasets, ground-truth definitions, and rubrics to verify agent outputs against real ERP workflows.
  • Prototype prompt chains to validate automation concepts before development cycles begin.
  • Prioritize legacy-module modernization using usage data, support volume, codebase complexity, and overall strategy objectives.
  • Work with Industry PMs, Value Stream PMs, UX Research, QA Builders, and other squad members to deliver customer-value-driven enhancements.

Requirements

  • Experience using LLMs to synthesize user research, generate acceptance criteria, or challenge product assumptions.
  • Ability to specify and pressure-test autonomous-agent behavior, including familiarity with LangGraph state machines.
  • Ability to translate complex ERP business logic, accounting regulations, or subject-matter expertise into structured prompts, constraints, and evaluation rubrics.
  • Ability to define measurable acceptance criteria, quantitative evaluations, and ground-truth definitions.
  • Understanding of AI-agent interfaces, including behavioral specifications, tone, escalation logic, and failure modes.
  • Interest in ERP workflows and the modernization of legacy systems.
  • Ability to understand the listed technical stack well enough to create precise specifications, including Python, SQL, LangChain, LangGraph, OpenAI and Anthropic APIs, DSPy, GitHub, and Weights & Biases.

Culture & Benefits

  • Remote work from the United States.
  • Mission-based product development instead of traditional quarterly roadmap planning and long PRDs.
  • AI-native collaboration with a Builder group of four like-minded practitioners.
  • Ownership of mission definitions, evaluation criteria, and ground truth while enabling engineers to implement independently.

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