Staff Product Manager (Cloud Data Platform)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Product Manager (Cloud Data Platform): Leading the roadmap for core cloud platform capabilities spanning infrastructure, reliability, and security with an accent on scalability and developer experience. Focus on designing the future of cloud-native data infrastructure and solving complex enterprise scaling challenges for AI-native workloads.
Location: Must be based in the United States
Company
provides a cloud-native distributed SQL database that unifies transactions and analytics to power real-time data experiences for enterprises.
What you will do
- Define and drive the strategic roadmap for the cloud data platform.
- Identify and implement improvements for scalability, reliability, security, and developer experience.
- Partner with engineering and design to deliver high-impact platform capabilities.
- Translate market trends and customer needs into clear execution plans and product strategies.
- Collaborate cross-functionally with GTM, support, and operations to ensure successful product adoption.
- Engage with customers and partners to validate priorities and influence long-term direction.
Requirements
- 10+ years of product management experience in cloud platforms or enterprise SaaS.
- Deep technical understanding of distributed systems, databases, or cloud infrastructure.
- Proven track record of building enterprise-scale products.
- Ability to execute complex roadmaps across cross-functional teams.
- Excellent communication skills for simplifying complex technical concepts.
- Must be based in the United States
Nice to have
- Experience with real-time analytics platforms or data infrastructure.
- Familiarity with AWS, Azure, or GCP.
- Working knowledge of SQL and/or Python.
- MBA or an advanced degree in a technical field.
Culture & Benefits
- Opportunity to shape the next generation of distributed data systems and real-time AI infrastructure.
- Direct influence on platform strategy used by global enterprise customers.
- Collaborative environment working alongside deeply technical database experts.
- Focus on cutting-edge innovation in AI-native workloads and cloud tooling.
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