Elastic

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Sr Product Manager or Director ELK Stack

Los Altos, CA | Product Management

Job Description

Elasticsearch is on a mission to make real-time data exploration easy and available to anyone. We spend our days engineering the world’s most advanced open source search and analytics engine, which is rapidly becoming the most popular solution in this space. The company has joint headquarters in the San Francisco Bay Area and Amsterdam. We are experiencing tremendous growth and our products have been downloaded more than 10M times. Top-tier VC firms Benchmark Capital, Index Ventures, and NEA have invested more than $100M in Elasticsearch.

We are looking for an experienced product leader to own and drive roadmap for the ELK (Elasticsearch, Logstash, and Kibana) stack, specifically around time series and log data analytics use cases. The ELK stack has become the leading open source product in the category. Customers currently use ELK for a wide variety of use cases including troubleshooting IT issues, identifying security threats, gaining operational intelligence, and performing analytics on customer and business data.  You will be responsible for contributing to the roadmap and driving the overall go-to-market strategy and positioning for these use cases across multiple products.

Responsibilities:

  • Gathering requirements from customers, sales, support, and internally
  • Develop use cases and product requirements to communicate these needs to engineering
  • Driving roadmap, positioning, requirements and feature delivery for Elasticsearch, Logstash and Kibana
  • Serve as a subject matter expert with the salesforce to ensure they are effectively prepared to demo and sell our core offering
  • Help drive product marketing to support creation of customer driven messaging and content

Required Skills and Experience:

  • Bachelor’s degree in a technical field (e.g. EE, CS)
  • Experience designing user experience
  • Ability to write, defend and execute on business cases
  • Ability to lead without authority
  • Technical aptitude and attention to detail
  • Excellent spoken and written communication skills

Preferred Skills and Experience:

  • Experience with Open Source software and/or commercial open source companies
  • Experience with Search and Analytics products in the Big Data ecosystem (Hadoop, Tableau, Splunk, etc)
  • Hands-on experience working with time-series data and performing log analysis
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