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.
What is The Role
We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on logs and logs analytics capabilities. With your knowledge and understanding of the Observability domain, you'll help ensure that we give our customers the best end to end full stack Observability experience for logs we collect from the applications and infrastructure we monitor. This role significantly impacts the success of our Observability product!
What You Will Be Doing
Evolving our logs analytics capabilities, aligning at every step with organizational and company strategy.
Advancing and influencing the entire end-to-end lifecycle for logs collection, ingest, and management
Building features that cater to the modern SRE. From integrating GenAI and Agentic workflows into the logging experience, automated SLO/SLI tracking from logs, intelligent alerting, correlating logs, metrics, and traces, and beyond.
Working closely across teams, collaborating with Engineering, UX, Design and other teams to bring top notch application monitoring experiences to our users.
Working with our Sales & Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption.
Tracking user engagement and feedback to inform product and feature evolution.
What You Bring
Ideally 3+ years in product management or closely related area
Technical experience in logs analytics
Observability and/or performance monitoring domain knowledge
Comfort working with and converting abstract problems into concrete, prioritized solutions, working from the customer backwards
Outstanding spoken and written communication skills
Passion for industry trends, competitive landscape
Experience working in remote, globally distributed work environment is optional but desired
Knowledge of AI is optional but desired
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings
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