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Elastic Jobs (NOW HIRING)

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 ...

Elastic SIEM Engineer

Hanover, MD · On-site

$120K - $165K/yr

As an Elastic SIEM Engineer , your primary duty is to maintain enterprise-scale Elastic Stack security solutions that safeguard our national security systems. You will design and implement advanced ...

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 ...

The Elastic Engineer will be a part of a team of Data Analytic Engineers enhancing, maintaining, and sustaining an Elastic, Logstash, and Kibana (ELK) instance with a heavy emphasis on data ...

Senior Manager, Endpoint Protections

Mountain View, CA · On-site

$136K - $186K/yr

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 ...

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 ...

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How much do elastic jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for elastic in the United States is $55.29, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $60.10 per hour, depending on experience, location, and employer.

What is an elastic engineer?

Elastic engineers are professionals who specialize in working with Elastic Stack, an open-source suite of products including Elasticsearch, Logstash, Kibana, and Beats. They are responsible for designing, implementing, and maintaining search and data analytics solutions using these tools. Elastic engineers help organizations efficiently store, search, and visualize large volumes of data, enabling better decision-making and real-time insights. Their work is crucial in industries that rely on big data, such as e-commerce, finance, and cybersecurity.

What are the key skills and qualifications needed to thrive as an Elasticsearch engineer?

To thrive as an Elasticsearch Engineer, you need a solid background in software engineering, data indexing, search technologies, and typically a degree in computer science or a related field. Proficiency with Elasticsearch, Kibana, Logstash, and experience with cloud platforms or Elastic Stack certifications are common technical requirements. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with teams and addressing complex data challenges. These skills ensure efficient search solutions, system scalability, and reliable data insights in enterprise environments.

What are some common challenges faced by professionals working in elastic engineering roles, and how can they be addressed?

Professionals working in Elastic engineering roles often encounter challenges such as managing large-scale data indexing, ensuring optimal cluster performance, and maintaining data security. Handling data growth and scaling clusters efficiently requires a deep understanding of Elastic's architecture and best practices. Collaboration with DevOps and security teams is essential to maintain uptime and secure data access. Proactive monitoring, continuous learning, and leveraging Elastic's extensive documentation and community support can help address these challenges effectively.

What is the difference between Elastic vs Data Engineer?

AspectElasticData Engineer
CredentialsElastic certifications, Elasticsearch trainingData engineering certifications, cloud platform credentials
Work EnvironmentFocus on Elasticsearch, search solutions, and data indexingData pipelines, database management, cloud platforms
Industry UsageIT, search technology, analyticsData management, big data, analytics
Search IntentUnderstanding Elasticsearch and Elastic StackUnderstanding data pipeline development and management

Elastic professionals specialize in Elasticsearch and search solutions, focusing on search technology and data indexing. Data Engineers build and maintain data pipelines and manage large datasets. While both roles work with data, Elastic roles are more centered on search and analytics platforms, whereas Data Engineers focus on data infrastructure and processing.

Is Elastic a good company to work for?

Elastic is known for a collaborative work environment and a focus on open-source projects, with roles often involving skills in search, data analysis, and cloud technologies. Employee reviews highlight opportunities for professional growth, though experiences can vary by team and location.

Is Elastic a remote company?

Elastic offers remote work options for many of its roles, allowing employees to work from home depending on the position and team needs. The company supports flexible schedules and remote collaboration tools, but some roles may require onsite presence or travel. Job seekers should review specific job postings for remote work eligibility and requirements.

What cities are hiring for Elastic jobs?

Cities with the most Elastic job openings:

Infographic showing various Elastic job openings in the United States as of September 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $115,000 per year, or $55.3 per hour.

Principal Product Manager, Telemetry Collection - Observability

Mountain View, CA • On-site

Other

Medical, Retirement, PTO

Re-posted 16 days ago


Job description

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:

The Observability team is in charge of developing solutions that focus on application developers and engineers that run infrastructure and services supporting these applications. Elasticsearch is an efficient datastore for logs, metrics, and application traces, supporting the three pillars of observability. The Observability team builds and maintains solutions that make getting insights from this data turnkey and efficient, such as our APM, Infrastructure Monitoring, Logs, and Uptime solutions. When developing these solutions, we think about the problem end-to-end: how we manage agents and collectors, how we collect data efficiently, how we store it in Elasticsearch, and how we deliver seamless management capabilities across remote architectures.

As a Principal Product Manager for Telemetry collection within the Observability team, you will be responsible for driving the strategy and execution for our edge telemetry collectors and remote management capabilities. You will own the vision for Fleet Server, Elastic Agent, and the Elastic Distribution of OpenTelemetry (EDOT) alongside classic standalone log shippers like Filebeat and the Beats ecosystem and Logstash. If you are passionate about building scalable collector management systems and empowering users to easily manage enterprise-grade telemetry pipelines, this job is for you!

What You Will Be Doing:
  • Product Strategy & Roadmap: Define the product vision, go-to-market strategy, and execution roadmap for the Elastic Agent framework, Fleet Server/Service, and telemetry collectors.
  • Data-Driven Decisions: Define and track KPIs focused on agent deployment success, pipeline efficiency, and the adoption of our OTel distributions.
  • Agent Architecture & Distribution: Oversee the packaging, testing, and distribution of the Elastic Agent, which is Elastic Distribution for OpenTelemetry Collector (EDOT) as well as standalone, purpose-specific Elastic Agent-based distributions.
  • Remote Management & Control: Drive remote management capabilities for Elastic Agent, Fleet Server, and collector infrastructure to ensure smooth deployment, configuration, and control at scale.
  • Kubernetes Management & Releases: Drive the vision and release strategy for our cloud-native deployments, specifically focusing on Kubernetes operators and Helm Charts to ensure seamless provisioning and lifecycle management of our agent framework.
  • OpenTelemetry: Advance OTel as a primary data shipper, guiding the ongoing development of receivers and exporters across Elastic Agent (EDOT) and the upstream OpenTelemetry Collector project to meet enterprise requirements.
  • Log Shipping Infrastructure: Manage Filebeat (as an Elastic Agent-managed OTel receiver, or standalone binary) and oversee the maintenance of the Beats repository.
  • Logstash Enhancement: Lead product initiatives for Logstash - continuing to provide the best experience for all of our many Logstash users through improved supportability, performance, and customer requested enhancements.
  • Cross-Functional Leadership: Work closely with engineering, UX, and product marketing to deliver compelling central management and collector experiences.
  • Public Advocacy: Act as a key spokesperson for Elastic's agent framework, collector ecosystem, and collection capabilities at internal and external events.
What You Bring:
  • At minimum five years in a Product Management role with a specific focus on enterprise infrastructure observability, telemetry collection, or agent frameworks.
  • Deep technical familiarity with collectors, log shippers, and agent ecosystems such as the OpenTelemetry Collector, Elastic Agent, Filebeat/Beats, and Logstash.
  • Proven track record in defining requirements for remote agent management, fleet control planes, or distributed edge collection systems.
  • Familiarity with Kubernetes operators and Helm Charts, alongside a solid understanding of cloud-native orchestration and release management.
  • Previous work experience on the front lines of IT Ops, DevOps, or SRE, or a customer-facing solution architect / consultant background is ideal.
  • Expertise in OpenTelemetry standards, receivers/exporters, and OpenTelemetry Collector architectures.
  • Experience working closely with open-source communities and navigating the balance between upstream contributions and enterprise product requirements.
  • Excellent verbal and written communication skills with the ability to translate complex technical architectures into clear business goals.
  • Familiarity with modern AI productivity tools and an understanding of emerging AI technology stacks and telemetry requirements.
  • Ability to work effectively in a distributed team throughout the world.
  • Strong familiarity with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats).
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.

We strive to have parity of benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do.

  • 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 a minimum of 16 weeks of parental leave

Security & Privacy Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic's Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience.

Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.

We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission.

Applicants have rights under Federal Employment Laws and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) Poster

Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.

Please see here for our Privacy Statement.

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.

The typical starting salary range for this role is:

$159,800-$252,800 USD

The typical starting salary range for this role in the select locations listed above is:

$191,900-$303,500 USD