Senior Competitive Benchmarking Developer - Product Marketing

Elastic
CA$122,300 - CA$172,300Remote

About The Position

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. This role will measure, validate and communicate performance metrics on Elastic vs competitive products. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights.

Requirements

  • 5+ years of software development experience with Python and Java, plus Linux shell scripting.
  • Strong understanding of distributed systems performance analysis, including CPU, memory, disk I/O, network, latency, and throughput.
  • Experience performing root cause analysis for performance issues in complex systems.
  • Familiarity with benchmarking in Linux VM and containerized environments.
  • Experience writing about benchmarking results for external audiences.
  • Ability to manage numerous projects and collaborate effectively across geographically distributed teams.

Nice To Haves

  • Experience building benchmarking frameworks, performance tooling, or automated test infrastructure.
  • Experience working in public cloud environments, especially AWS and GCP.
  • Experience with Kubernetes and/or Terraform.
  • Prior experience with Elasticsearch.
  • Experience applying AI to expand benchmarking practices, improve benchmark design, or enhance benchmarking tooling.

Responsibilities

  • Define benchmark methodologies and guidelines.
  • Optimize each product to ensure equal testing conditions.
  • Run the benchmarks and analyze the results.
  • Work with engineering and developer relations to validate your approach and results.
  • Publish the results through technical blogs or white papers with the information and resources for others to recreate your tests.

Benefits

  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year to use toward volunteer projects you love
  • Embracing parenthood with minimum of 16 weeks of parental leave
  • Company-matched Registered Retirement Savings Plan (RRSP) with dollar-for-dollar matching up to 6% of eligible earnings
  • Eligible to participate in Elastic's stock program
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service