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Technical Product Manager at Elastic | Canada

ElasticCanada
On-site Full-time $2K/yr - $2K/yr

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Experience Level

Manager

Qualifications

QualificationsTechnical Fluency: Possess a robust technical background with the capacity to discuss trade-offs effectively with engineers. Functional Precision: Demonstrated ability to distill high-level business requirements into actionable and detailed technical specifications. Analytical Mindset: Professional experience in utilizing data to drive continuous improvement and monitor product-level success.

About the job

At Elastic, the Search AI Company, we empower individuals and organizations to uncover the insights they need in real-time by harnessing the power of their data at scale. Our Elastic Search AI Platform, utilized by over half of the Fortune 500, combines the precision of search with the intelligence of AI, allowing users to drive meaningful results quickly. Our comprehensive, cloud-based solutions for search, security, and observability not only protect sensitive information but also help organizations realize the full potential of AI.

Role Overview

We are seeking a dynamic Technical Product Manager to spearhead product-level initiatives and execute the Revenue Technology Engineering roadmap. This team plays a crucial role in supporting our internal Field Employees (referred to as 'Elasticians') through innovative tooling, GenAI-powered workflows, and enhanced support experiences. Your contributions will have a significant impact on how Elasticians operate on a global scale.

In this role, you will collaborate with Support, Revenue Operations, program management, and IT teams to bring our vision to life, prioritize initiatives, and deliver highly desirable product features that blend innovation with operational excellence.

Key Responsibilities

  • User Discovery: Conduct interviews with internal users to identify pain points and root causes, translating these insights into comprehensive functional requirements and feature initiatives linked to business outcomes.
  • Cross-Functional Collaboration: Work closely with Field, Engineering, and Revenue Operations teams to scope, plan, and launch engaging products.
  • Outcome Driven: Embed success metrics into the product design phase, leveraging data to inform current efforts and future strategies.
  • Innovation: Seek and implement enhancements to internal workflows and new feature sets, integrating GenAI where applicable.
  • Efficiency & Adoption: Champion internal efficiency, promote high feature adoption rates, and contribute to operational cost reductions.

About Elastic

Elastic is at the forefront of Search AI technology, enabling organizations to derive critical insights from their data in real-time. With a strong client base that includes more than 50% of the Fortune 500, we are committed to delivering innovative, cloud-based solutions that redefine how businesses leverage AI to enhance their operations and secure their data.

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