Роль четко определена с ясным акцентом на управление продуктом в ведущей AI-компании, а диапазон зарплаты привлекателен для требуемого уровня экспертизы.
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Четкая рольПривлекательная зарплатаСильная компанияРазнообразная культура
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Product Manager, Compute Platform (Data and AI): Defining and delivering compute platform products for Classic Compute, SQL Warehouses, and Serverless Compute with an accent on product strategy, enterprise customer needs, and cross-functional execution. Focus on building cloud and data platform capabilities, differentiating against SaaS and IaaS products, and using data-driven insights to improve adoption and user experience.
Location: Seattle, Washington, United States
Salary: $148,800–$204,525 USD annually
Company
Databricks builds and operates a data and AI infrastructure platform used by organizations worldwide to develop and scale data applications, analytics, and AI solutions.
What you will do
Define and own the product vision, strategy, and roadmap for Classic Compute and Serverless Compute features.
Coordinate product development from discovery and planning through implementation and launch.
Partner with engineering, design, sales, marketing, and leadership to deliver features and drive adoption.
Engage enterprise customers and ISV partners to understand needs and prioritize high-impact solutions.
Drive competitive differentiation against SaaS and IaaS compute products.
Use data-driven insights to measure success and improve customer and stakeholder value.
Requirements
5+ years of product management experience, preferably in cloud, analytics, or data platforms.
Deep understanding of data platforms, compute products, and compute use cases.
Background in computer science or a related engineering discipline.
Experience shipping high-impact, cross-functional products with engineers and designers.
Exceptional communication and storytelling skills.
Experience working directly with enterprise customers and ISV partners in the data market.
Culture & Benefits
Customer-obsessed and engineering-founded product environment.
Work on data and AI infrastructure serving more than 20,000 organizations.
Comprehensive employee benefits and perks, varying by region.
Inclusive culture and employment practices.
Potential eligibility for annual performance bonuses and equity.
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