Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая ответственность за продукт, прямой контакт с клиентами и фокус на оптимизации расходов в облаке делают вакансию привлекательной для опытного продакт-менеджера. Но зарплата не указана, а ожидания по самостоятельности высокие, поэтому важные условия остаются неясными.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Rabbit - Product Manager, BigQuery (Cloud Cost Optimization/AI): Own the strategy, discovery, and business outcomes for a BigQuery cost optimization product with an accent on customer evidence, cloud economics, pricing, and AI-first prototyping. Focus on solving complex optimization problems across slots, reservations, storage, query performance, and autonomous data-platform operations while proving value for enterprise customers.
Location: Budapest, Hungary
Company
hirify.global is a Google Cloud Partner delivering data analytics, machine learning, infrastructure, cloud migration, and application development solutions, including its Rabbit cloud cost optimization product.
What you will do
Own product outcomes and business viability, including customer savings, adoption, expansion, and renewals.
Translate product strategy into quarterly objectives and select the highest-value customer problems to solve.
Analyze product and billing data, conduct weekly customer discovery, and track Google Cloud pricing, platform changes, and competitors.
Validate opportunities through prototypes, customer pilots, and pricing tests, using AI agents and tools where they accelerate learning.
Own pricing, packaging, enterprise procurement, security review, go-to-market enablement, and release readiness.
Work directly with founders, product engineers, forward-deployed engineers, TAMs, and customer teams.
Requirements
5+ years of product management experience in B2B software, with end-to-end ownership and measurable business outcomes.
Hands-on enterprise customer discovery experience, including interviews and pilots.
Strong data fluency, including SQL analysis of usage and billing data.
Understanding of B2B SaaS pricing, packaging, procurement, security reviews, renewals, and expansion.
Practical experience with Claude Code, Cursor, Copilot, LLMs, or comparable AI and agentic tools for research, analysis, and prototyping.
Exceptional written and verbal English, plus the ability to work autonomously in an ambiguous environment.
Nice to have
Technical fluency with data engineering, query plans, cloud data warehouse billing, or software and data engineering concepts.
Experience with BigQuery, including slots, reservations, editions pricing, INFORMATION_SCHEMA, and GCP billing.
Technical product experience in developer tools, data infrastructure, or cloud platforms.
Experience shipping AI-powered or autonomous features and building enterprise trust and guardrails.
Founder or first-product-hire experience.
Culture & Benefits
AI-first, agentic approach to product management and engineering.
Direct access to founders, customers, and engineers with no middle-management layers.
Outcome-focused environment centered on shipped product value rather than documents, tickets, or roadmap ceremonies.
Opportunity to work on autonomous optimization of large-scale BigQuery workloads and cloud economics.
Exposure to enterprise data-platform teams across Europe and North America.
Hiring process
Submit a CV or LinkedIn profile and a short note describing an evidence-based product decision and its business outcome.
Include, if applicable, how AI agents were used to accelerate discovery or delivery.
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