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У роли понятная зона ответственности, измеримые результаты и фокус на AI-продукте, но работа в инженерно-сервисной компании и офисный формат могут ограничить гибкость и опыт продуктовой разработки.
Работа из офиса
Фокус на AI-продукте
Понятная зона ответственности
Сильный пакет льгот
?Специализация на AEC
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Product Manager (AI) (AI-enabled digital products and MEP workflows): Owning a feature area from discovery through release, with an accent on AI, machine learning, agentic workflows, and measurable product adoption. Focus on defining validated problems, running experiments and prototypes, sequencing backlogs, and partnering with engineers and stakeholders to deliver useful software capabilities.
Location: Kansas City, MO, USA; other location: Lenexa, KS, USA. Travel required up to 10% of the time. Applicants must be legally authorized to work in the United States.
Company
hirify.global provides design and construction services for mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail projects, while developing technology for the built environment.
What you will do
Own the vision, roadmap, backlog, outcomes, and release decisions for a defined feature area within an AI-enabled digital product portfolio.
Identify opportunities to apply AI, MCP, agentic workflows, automation, and emerging technologies to MEP workflows and user problems.
Translate outcomes into requirements, user stories, acceptance criteria, and testable release increments.
Lead discovery with engineers, internal users, business leaders, and stakeholders; validate problems and outcome hypotheses.
Run experiments, prototypes, and proofs of concept to assess desirability, feasibility, quality, safety, and value.
Partner with product design and software development through delivery, adoption, analytics, feedback, and iteration.
Requirements
Bachelor's degree in engineering, computer science, information systems, business, or a related field.
4 or more years of relevant experience, including at least 2 years in product management, product ownership, or a comparable role delivering software products.
Working knowledge of AI and machine learning capabilities, including large language models.
Experience in Agile environments using modern product and project management tools such as ClickUp, Linear, or Jira, including backlog management, user stories, and acceptance criteria.
Demonstrated success contributing to features from discovery through release and measurable adoption.
Ability to define success measures and communicate progress, evidence, tradeoffs, risks, and outcomes.
Proficiency in communication, integrity, quality orientation, teamwork and inclusion, continuous learning, and functional/technical expertise.
Ability to read, write, and communicate in English, and to work for prolonged periods at a desk or computer.
Nice to have
Experience in the AEC industry or with MEP design workflows.
Hands-on experience with agentic workflows and integration patterns such as MCP.
Familiarity with Revit, Autodesk Construction Cloud, or other AEC design platforms.
Product management certification such as CSPO, Pragmatic Institute, or SAFe POPM.
Experience using usage analytics, user feedback, and operational data to guide product decisions.
Culture & Benefits
Employee-owned ESOP company with a people-first, collaborative, inclusive, and forward-thinking culture.
Flexible work hours, casual dress code, paid volunteer time, paid parental leave, and health and wellness initiatives.
401(k) match, profit sharing, performance bonuses, comprehensive insurance, paid life and disability insurance, HSA, and FSA.
Paid time off, sick time, paid professional development training, financial wellness coaching, and clear career path options.
Hiring process
Employment offers are contingent on completion of the hiring process, including required verifications and background checks.
Employment eligibility will be verified at the commencement of employment.
Unsolicited resumes from recruitment agencies are not accepted without a prior written search agreement.
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