Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Роль четко описана и сочетает оценку AI-агентов, бизнес-логику ERP и модернизацию продукта, но амбициозный формат работы и отсутствие данных о компенсации оставляют важные детали открытыми.
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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