Senior Product Manager - Elasticsearch Storage Engine

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

What is The Role:

Are you passionate about shaping the future of data storage systems? The Elasticsearch Storage Engine team is seeking a Senior Product Manager to lead the evolution of efficient and performant storage solutions in Elasticsearch. This team is pivotal to Elasticsearch’s ability to handle diverse and demanding data types such as logs, metrics, and time-series data. Recent innovations, such as Logsdb index mode, showcase our focus on optimizing storage and query performance for log data (see our Search Labs blog).

As a Senior Product Manager, you will define and execute the product strategy for Elasticsearch’s foundational storage capabilities. Collaborating with engineering, internal stakeholders, and our global customer base, you will deliver scalable, customer-centric solutions that drive performance and reliability at scale. This is a unique opportunity to make a lasting impact on a core component of Elastic’s product offering.

What You Will Be Doing:

• Define and prioritize the roadmap for Elasticsearch’s data storage capabilities, balancing customer needs with technical innovation.
• Collaborate with engineering and technical leads to establish a shared vision and strategy for Elasticsearch’s storage engine. 
• Identify opportunities to enhance storage efficiency across diverse Elasticsearch use cases, such as logging, metrics, search, and analytics. Ensure new storage capabilities remain fully compliant with existing APIs and maintain seamless integration and backward compatibility.
• Partner with internal product stakeholders (e.g., Observability, Search, Security) and engineering teams to uncover, align, and prioritize requirements, ensuring timely and phased delivery of impactful features.
• Engage with users and customers to understand challenges, identify opportunities, and advocate for advancements that enhance Elasticsearch's performance, reliability, and cost efficiency.
• Support Sales and Marketing teams with go-to-market strategies, competitive positioning, and enablement to ensure the success and adoption of storage-related features.
• Analyze market trends, competitive landscapes, customer feedback, and usage data to provide actionable insights that shape the product’s direction and strategy.

What You Will Bring:

• 5+ years of product management experience, ideally in the storage, database, or distributed systems space.
• A strong understanding of storage architectures, including distributed systems, indexing, compression, replication, and sharding strategies.
• Experience building systems that use logging, metrics, search, security analytics, or time-series data.
• Expertise in packaging and pricing strategies, focusing on balancing storage efficiency with retrieval speed, customer value, and revenue goals.
• Excellent verbal and written communication skills to articulate complex technical concepts to diverse audiences.
• Curiosity, humility, and a collaborative approach paired with empathy, transparency, and a sense of humor.

Bonus Points:

• Direct experience with the Elastic Stack.
• Knowledge of logs, metrics, and analytics solutions, such as Splunk, OpenSearch, Loki, Datadog, or Prometheus.
• Knowledge of Databases and Storage Formats. Proven understanding of database architectures, including columnar databases such as Apache Parquet (commonly used in data warehousing and analytics) and relational (row-based) databases such as PostgreSQL— experience leveraging these formats to optimize performance, scalability, and data accessibility. 
• Familiarity with cloud-native storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage).
• Experience in highly cross-functional, distributed, global teams.
• Background in open-source software<