Elastic

3,222 Total Employees
Year Founded: 2012

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What It's Like to Work at Elastic

Updated on January 15, 2026

This page was generated by Built In using publicly available information and AI-based analysis of common questions about the company. It has not been reviewed or approved by the company.

What's it like to work at Elastic?

Strengths in flexible remote work, robust benefits, and a stabilizing business trajectory are accompanied by a fast pace, shifting priorities, and uneven management in certain functions. Together, these dynamics suggest a generally positive employer for those who value distributed flexibility and strong perks, with outcomes varying by role and tolerance for change and operational load.
Positive Themes About Elastic
  • Work-Life Balance: A distributed-by-design model with mature async practices and real location/schedule flexibility (e.g., “be home for dinner”) supports balance for many roles.
  • Benefits & Perks: Perks include company-wide “Shut It Down” days, generous parental leave, 401(k) match/ESPP (US), wellness programs, and volunteer time off; these programs visibly prioritize well-being and time away.
  • Market Position & Stability: Recent updates describe revenue growth into FY2026, rising cloud revenue, a steady product release cadence, and a late-2025 share buyback signaling confidence, creating a more stable backdrop than the 2022–2023 period.
Considerations About Elastic
  • Change Fatigue: Past headcount reductions during the 2022–2023 downturn and subsequent reorganizations, alongside a rapid product cadence, produce shifting priorities and ambiguity for some functions.
  • Weak Management: Go-to-market groups are specifically cited for pressure, evolving playbooks, and uneven management depth, making outcomes highly dependent on team leadership.
  • Workload & Burnout: Pace, context switching, and role-dependent 24x7 on-call or deal-timing pressure can elevate workload and strain, particularly in cloud/SRE and some sales-adjacent roles.
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The insights on this page are generated by submitting structured prompts to some of the most popular large language models (“LLMs”) and summarizing recurring themes from the responses. Because the insights are generated using AI, they may contain errors. The insights do not necessarily reflect internal data, employee interviews, or verified company information. They may be influenced by incomplete, outdated, or inaccurate data, and may vary across LLM providers. These insights are intended for informational purposes only and should not be interpreted as a factual or definitive assessment of a company's reputation. Built In makes no representations or warranties regarding the accuracy, completeness, or reliability of this information, and disclaims any liability for any actions taken based on this information. If you are a representative of this company, and would like this page to be removed, you may contact us via this form.
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