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У роли понятная зона ответственности и заметное влияние на запуск AI-продуктов, но частые поездки к клиентам и отсутствие данных о зарплате оставляют важные условия неясными.
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Текст:
Hirify AI/Оригинал
TL;DR
AI Product Manager (B2B SaaS/Data): Building AI-enabled commercial intelligence capabilities for food and beverage manufacturers using customer evidence, product usage data, and transaction-verified foodservice data with an accent on customer discovery, roadmap ownership, and commercially successful releases. Focus on translating customer needs into product requirements, coordinating cross-functional delivery, and driving measurable adoption and revenue growth.
Location: Remote within the United States
Company
Build the next generation of a commercial intelligence platform for the foodservice industry, using transaction-verified operator-location data to help manufacturers manage their away-from-home business.
What you will do
Own and maintain a 12–18 month product roadmap aligned with strategic priorities, customer needs, market opportunities, and measurable business outcomes.
Lead ongoing customer discovery with CPG manufacturer stakeholders, including regular on-site engagement, to identify and validate high-value product opportunities.
Translate customer insight, product usage data, and commercial objectives into product requirements, success metrics, and evidence-based priorities.
Lead cross-functional delivery across R&D, Development, Marketing, Sales, and Customer Success from problem definition and business case development through testing, launch, and continuous improvement.
Develop go-to-market and adoption plans that convert product capabilities into customer value, revenue growth, and sustained usage.
Monitor product performance, risks, and dependencies and provide the General Manager with progress updates, customer learnings, business impact, and recommended course corrections.
Requirements
2–3 years of product management experience in B2B SaaS or data products, with a demonstrated record of commercially successful releases.
Practical, hands-on fluency with AI and machine learning capabilities, including a working understanding of their limitations.
Disciplined customer research practice and the ability to distinguish customer statements from observed data, allowing both to override internal opinion.
Ability to communicate product vision and requirements to executives, engineering, and the broader organization by translating customer evidence into commercial implications, technical requirements, and a clear narrative.
Willingness to travel 20–30% for customer engagement.
Nice to have
Foodservice, CPG, or commercial intelligence domain experience.
Culture & Benefits
Regular employment position with one available opening.
Remote work within the United States.
Customer engagement includes regular on-site interaction and 20–30% travel.
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