Full-Time

Senior Product Manager

Elasticsearch Storage Engine

Confirmed live in the last 24 hours

Elastic

Elastic

1,001-5,000 employees

Search and data analysis solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$133.1k - $210.6kAnnually

Senior

New York, NY, USA

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

Category
Product Management
Product
Required Skills
Product Management
Elasticsearch

You match the following Elastic's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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.
Desired Qualifications
  • 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 and relational 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 and/or commercial open-source companies.
  • Experience with products delivered via both SaaS and self-managed deployments.

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 large 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 managing the software in their own environment. 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

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Elastic's collaboration with Microsoft enhances semantic search capabilities, attracting enterprise clients.
  • Partnership with vTech Solution expands market reach in government and commercial sectors.
  • Integration with Google Vertex AI boosts AI adoption, enhancing competitive edge in analytics.

What critics are saying

  • CVE-2024-37287 vulnerability in Kibana highlights potential security risks in open-source tools.
  • Government contracts with vTech Solution may pose compliance and regulatory challenges.
  • Dependency on third-party AI models could affect service reliability if issues arise.

What makes Elastic unique

  • Elastic offers a powerful open-source Elastic Stack for data search and analysis.
  • Elastic's AI-optimized architecture supports low-latency and native vector database capabilities.
  • Elastic's diverse client base includes major enterprises like Cisco, eBay, and NASA.

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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