Senior Product Manager (XDR) - Security Solutions
Elastic · United States
Skills in this posting
The posting
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
Elastic Security is looking for a Senior Product Manager to help build and grow Elastic XDR. Great detection-and-response products come from a clear read of how attacks unfold and where defenders lose time, and this role puts you close to both. You will own a core area of the XDR roadmap end to end, from requirements through shipped, iterated product, and contribute to the exposure and vulnerability capabilities now converging with it.
You will be the person an engineering lead respects for the quality of your requirements, and a credible product voice in front of security customers. You will work on a platform whose unified data model and deployment flexibility, from cloud to on-premises to fully air-gapped, , partnering closely with Engineering and the Elastic Security Labs research team. This is a role for a product manager ready to own meaningful surface area in a fast-moving space and grow toward broader ownership.
What You Will Be Doing
Own a core area of the XDR roadmap end to end: drive detection, correlation, incident building, and response capabilities across endpoint, cloud, identity, and network, from requirements through shipped and iterated product.
Expand and maintain the telemetry and integrations XDR depends on: first-party Elastic data plus third-party EDR, cloud, identity, and network sources that let the product correlate across a real environment.
Contribute to Elastic's exposure and vulnerability management work, including prioritization based on exploitability and reachability rather than raw CVSS, and remediation workflow.
Write requirements engineering can act on without follow-up clarification meetings, and translate customer input and threat research from Elastic Security Labs into product.
Represent product in customer conversations, including senior security stakeholders, and bring what you learn back into the roadmap .
Ensure your capabilities work across Elastic's deployment models, from cloud to on-premises to air-gapped, so they hold up in regulated and disconnected environments.
Maintain well-developed awareness of the competitive landscape and GTM strategies.
Create artifacts such as roadmap trackers and decision memos that give stakeholders visibility without requiring a meeting.
What You Bring
Experience: At least 5 years in security-related technical product management, competitive analysis, or technical marketing, and a minimum of 3 years in a related product development or technical field. A track record of owning product areas from requirements through shipped, iterated outcomes.
Detection and Response Domain Knowledge: Hands-on knowledge of XDR, EDR, SIEM, incident response, or forensic either as a product manager or as a practitioner such as a SOC analyst, detection engineer, or incident responder. You can discuss correlation, response, and detection engineering credibly. A practitioner background before transitioning into product is a solid plus.
Telemetry and Integration Breadth: Comfort building or owning products that rely on heterogeneous third-party data, with a awareness that XDR depends on ingestion breadth and healthy integrations.
Analytics and Threat Understanding: A solid comprehension of the analytics techniques behind detection and prioritization and of the current cyber threat landscape. Familiarity with AI security, how AI, ML, and agentic systems are attacked and defended, is a plus. Solid comprehension is required; hands-on modeling is not.
Technical Credibility: You earn respect from engineering through the quality of your requirements, and you know enough about architecture to judge feasibility and scope.
Customer-Facing Confidence: You are comfortable representing product to security customers, including senior stakeholders, and can hold both the practitioner and the leadership view in the same conversation.
Communication Excellence: You can distill complex detection engineering and exposure concepts into clear narratives for both technical and non-technical audiences.
Comfortable with AI-Augmented Work: You use AI tooling for synthesis, research, and delivery as a regular part of your workflow, and you own the final outcomes regardless of how they were produced.
Cross-functional Collaboration: You have operated across Product, Engineering, Sales, and Customer Success, and you drive execution in a dynamic, remote-first environment with growing autonomy.
Proficiency and Education: A robust interest in cybersecurity and its challenges is essential. Attention to detail is important. You must also have the ability to understand the bigger picture. A BS or MS degree in engineering, computer science, or information security is required.
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, along with a range of other benefits offered with a holistic emphasis on employee well-being.
$155,700 — $201,900 USD
The typical starting salary range for this role in the select locations listed above is:
$185,600 — $237,200 USD
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
The PivotHop read
- What a product manager actually earnsmedian, seniority, by country
- Careers a product manager can move intoevery measured route out
- AI Product Manager → Product Manager77% readiness
- Marketing Manager → Product Manager30% readiness
- All open product manager rolesthe full board
Where these skills also reach
- 24 open ai product manager roles51% readiness from product manager
- 40 open ux researcher roles42% readiness from product manager
- 600 open business analyst roles39% readiness from product manager
- 561 open customer success manager roles38% readiness from product manager
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