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У роли понятная зона ответственности senior-уровня в enterprise AI: развитие агентных сценариев и измеримые результаты. Основные нюансы - узкая специализация на CLM и активная координация разных команд.
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Агентный ИИЗона влиянияМного взаимодействий
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Product Manager – Agents and Intelligence (AI): Building agent-driven workflows and AI-powered insights for an enterprise contract lifecycle management platform with an accent on generative AI, API enablement, and measurable customer impact. Focus on defining agentic product strategy, designing data-driven success metrics, and coordinating engineering, UX, legal knowledge engineering, and go-to-market teams.
Location: Remote in the United States
Company
hirify.global provides a contract lifecycle management platform that helps businesses discover, understand, manage, and leverage critical business relationships through contracts.
What you will do
Own the roadmap and execution of agentic solutions on the hirify.global CLM platform, driving measurable business and customer impact.
Co-lead AI-driven insights and optimization initiatives across the product and identify high-value contract lifecycle workflows for intelligent agents.
Define and track adoption, customer satisfaction, ROI, and other success metrics for agentic workflows.
Collaborate with engineering to evolve hirify.global APIs and enable seamless data access for agent-driven solutions.
Partner with UX, design, legal knowledge engineering, product marketing, sales enablement, and customer success to deliver and position user-centered agentic experiences.
Prioritize the backlog and write user stories, acceptance criteria, and product specifications while serving as an internal and external product evangelist.
Requirements
5+ years of product management experience at a fast-paced software company.
Advanced command of current trends in building, measuring, and improving generative AI B2B applications.
Ability to prioritize effectively and connect tactical execution with broader company strategy.
Strong experience defining success metrics and applying data-driven decision-making.
Background in enterprise B2B SaaS applications, ideally in legal tech, contract lifecycle management, ERP, CRM, or BPM systems.
Experience working closely with engineering teams to design and evolve APIs for ecosystem and agent enablement.
Strong storytelling, communication, and collaboration skills for influencing across organizational boundaries.
Nice to have
Hands-on experience with agent frameworks, multi-agent collaboration, or orchestration platforms.
Experience with Model Context Protocol, agent tools, or similar technologies.
Background building and scaling generative AI or agentic products in enterprise environments.
Experience with enterprise no-code platforms and extensibility strategies.
Willingness to travel up to 10% for customer workshops, conferences, and research studies.
Culture & Benefits
Remote workplace based in the United States.
Cross-functional collaboration across product, engineering, UX, legal knowledge engineering, marketing, sales enablement, and customer success.
Opportunity to work on agentic AI applications for contract lifecycle management.
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