Чёткая зона ответственности в важном направлении ценообразования у быстрорастущей продуктовой компании в сфере AI-инфраструктуры, с хорошими льготами и понятными задачами.
Влияние на продукт
Рост в AI
Сильный соцпакет
?Высокий порог опыта
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Текст:
Hirify AI/Оригинал
TL;DR
Product Manager, Pricing and Monetization (AI): Shaping pricing, packaging, and purchasing experiences for AI infrastructure products with an accent on usage-based models, GPU economics, and enterprise monetization. Focus on designing token, capacity, and workload pricing, analyzing customer usage and margins, and launching pricing changes that improve adoption and revenue growth.
Location: Hybrid in San Francisco or New York, United States
Salary: $200K–$400K annually, plus equity
Company
Builds an AI cloud platform combining inference, training, agent execution, applied AI research, infrastructure, and developer tooling for companies bringing AI products into production.
What you will do
Own pricing and packaging strategy across inference, training, sandboxes, Grid, and future products.
Design pricing models for token-based inference, dedicated deployments, reserved capacity, and emerging AI workloads.
Analyze infrastructure costs, GPU utilization, margins, usage patterns, customer research, and quantitative data with engineering and finance.
Shape developer and enterprise purchasing experiences, including credits, commitments, discounts, overages, and billing transparency.
Partner with sales, finance, and product teams to launch pricing changes and manage customer transitions.
Identify opportunities to improve adoption, revenue growth, and unit economics.
Requirements
10+ years of experience in pricing, packaging, or monetization for cloud infrastructure, developer platforms, or complex usage-based products.
Track record of owning significant pricing decisions from strategy and modeling through launch and adoption.
Experience with both self-serve and enterprise pricing, including commitments, consumption models, and commercial negotiations.
Strong analytical skills with hands-on SQL, financial modeling, usage data, and customer cohort analysis.
Deep understanding of how pricing affects customer behavior, product adoption, and business economics.
Ability to work across product, engineering, finance, and go-to-market functions to simplify complex pricing decisions for customers.
Nice to have
Experience pricing AI/ML infrastructure, GPU compute, model APIs, or emerging developer platforms.
Familiarity with inference economics, including utilization, caching, retries, and serving costs.
Culture & Benefits
Competitive compensation with meaningful equity.
U.S. employees and dependents receive 100% coverage of medical, dental, and vision insurance.
Flexible PTO, including a company-wide Winter Break from Christmas Eve through New Year's Day.
Paid parental leave and a fertility and family-building stipend through Carrot.
U.S. employees receive access to a company-facilitated 401(k).
Exposure to a variety of ML startups and opportunities for learning and networking.
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