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Platform - Senior Product Manager (Distributed & Serverless)

Posted 5 days agoViewed

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💎 Seniority level: Senior, 4+ years

🔍 Industry: Software Development

🏢 Company: Referral Board

🗣️ Languages: English

⏳ Experience: 4+ years

Requirements:
  • 4+ years of experience in product management within a software or SaaS company, or a technical background delivering complex systems in other industries.
  • A solid understanding of distributed systems, including how data is indexed, allocated, and replicated across nodes.
  • Familiarity with cloud-based and serverless architectures.
  • Experience defining requirements and collaborating on the design of APIs, developer tooling, or platform infrastructure.
  • Strong analytical and problem-solving skills, with an ability to balance technical trade-offs and business priorities when making product decisions.
  • Excellent written and verbal communication skills, with the ability to work effectively with engineers, designers, and other stakeholders across a globally distributed team.
  • A collaborative and curious mindset, with a willingness to learn, adapt, and contribute to a fast-moving, highly technical product space.
Responsibilities:
  • Driving impactful product initiatives by working closely with the Distributed Systems engineering team to improve how Elasticsearch handles scalability, performance, and resilience across all deployment models.
  • Collaborating with engineers, designers, and other product managers to define requirements, refine priorities, and ensure successful execution of roadmap initiatives.
  • Engaging with customers and internal teams to understand real-world challenges, gather feedback, and ensure that Elasticsearch meets the needs of developers, platform teams, and enterprises.
  • Measuring success and driving continuous improvements by tracking key performance indicators, analyzing usage data, and identifying opportunities to enhance Elasticsearch’s reliability and efficiency.
  • Conducting competitive analysis to understand market trends, identify differentiators, and ensure Elasticsearch remains a leader in the distributed systems and database space.
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