Full-Time

Senior Product Manager

Elasticsearch Storage Engine

Posted on 1/10/2025

Elastic

Elastic

1,001-5,000 employees

Search and analyze data in real-time

Data & Analytics
Enterprise Software

Compensation Overview

$133.1k - $210.6kAnnually

Senior

Remote in USA

Candidates must be located on the East Coast of the United States or in Europe.

Category
Product Management
Product
Required Skills
Product Management
Elasticsearch
Requirements
  • 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.
Responsibilities
  • 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.

Elastic specializes in search-powered solutions, providing a suite of products that enable businesses to search, analyze, and visualize data in real-time. Its main product, Elasticsearch, is a search engine that can be deployed either in the cloud or on-premises, helping organizations manage large volumes of data for better decision-making and operational efficiency. Elastic serves a wide range of clients, including enterprises, small businesses, and government agencies across various industries such as technology, healthcare, finance, and retail. Unlike many competitors, Elastic offers flexible deployment options and a subscription-based business model, allowing clients to choose between hosted services or self-managed software. The company's goal is to empower organizations to effectively utilize their data through powerful search and analytics tools.

Company Stage

IPO

Total Funding

$157.6M

Headquarters

Mountain View, California

Founded

2012

Growth & Insights
Headcount

6 month growth

0%

1 year growth

2%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaboration with Microsoft enhances AI capabilities and attracts enterprise clients.
  • Partnership with vTech Solution expands market reach in the public sector.
  • Launch of Search AI Lake strengthens Elastic's position in AI and machine learning.

What critics are saying

  • Recent Kibana vulnerability highlights potential security risks in Elastic's tools.
  • Dependency on third-party integrations poses risks if partnerships face disruptions.
  • Expansion into AI may face challenges from established competitors in the market.

What makes Elastic unique

  • Elastic offers a comprehensive suite of search-powered solutions for diverse industries.
  • Elastic's AI-optimized architecture supports low-latency and native vector database capabilities.
  • Elastic's subscription-based model provides steady revenue from diverse deployment options.

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Benefits

Fully paid health coverage for you and your family

Flexible location and schedule for most roles.

Generous number of vacation days each year

20+ additional shut it down days

Minimum of 16 weeks of parental leave, plus generous family formation benefits.

40 hours each year to use toward volunteering

Double your charitable giving