We are looking for a Principal Analytics Engineer to lead the design and build of our AI-powered intelligence system. As a Principal Analytics Engineer, you will synthesize complex data streams into a unified, high-fidelity system that serves as the 'source of truth' for the entire customer journey. You will engineer a structured knowledge layer that enables us to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.
\nYour responsibilities will include: Architecting the foundation of our marketing intelligence system using BigQuery and dbt infrastructure Enabling AI & Agents by developing the semantic layer and structured knowledge base Mapping the customer journey by integrating disparate signals across digital, product, and sales Scaling through partnerships by partnering with Enterprise, Product, Sales, and Finance teams
\nYou will bring: Deep experience with BigQuery, dbt, and semantic layers Proven ability to apply automation or LLM-assisted workflows to the data modeling lifecycle Ability to build complex, interconnected systems by starting with the desired outcome and working backward Collaborative communication skills Operational excellence & governance skills
\nBonus points for: GTM fluency Marketing science foundations Identity resolution AI production scaling
","enriched_at":1777118917844},{"id":"job_0a7e7df8-c61","title":"Site Reliability Engineer (Mid / Senior) - Platform Infrastructure","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7852721","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"Elastic is seeking a Site Reliability Engineer (Mid/Senior) to join our Platform Infrastructure team. As a Site Reliability Engineer, you will be responsible for designing and developing tooling that facilitates building, testing, and shipping the Elastic Stack. You will also build and operate production services that power core aspects of the Elastic business, including downloads, Docker registry, maps service, and more.
\nIn this role, you will support internal adoption of the Elastic Stack for software development and analytics use cases. You will work closely with cross-functional teams to ensure the smooth operation of our platform and services.
\nWe are looking for a highly skilled engineer with a broad development background and experience in Site-Reliability Engineering. You should have multiple years of hands-on experience administering Linux systems, ideally at scale and in distributed environments. Experience helping operate a SaaS platform is a plus.
\nYou should be comfortable automating production systems collaboratively, treating configuration as code, managing it through version control, and working with tools such as Docker, Terraform, Puppet, Chef, Ansible, Salt, Packer, Kubernetes, or your own well-crafted shell scripts.
\nA drive to automate and monitor everything is essential. If it can be automated, you'll find a way. Experience building reusable software components; open source contributions are a bonus. Comfort with a versioned, Git-based workflow driven by issues and pull requests is required.
\nStrong Linux fundamentals are a must. You know your way around syscall tracing, TCP internals, init systems (sysvinit/runit/systemd), and aren't afraid to go deep when a problem demands it. A passion for open source, whether through code, mailing lists, documentation, or community participation, is a plus.
\nExperience thriving in a distributed, asynchronous work environment with strong written communication habits is essential. A genuine appreciation for diverse, globally distributed teams and a collaborative, inclusive approach to getting work done is required.
\nThis role is 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.
\nThe typical starting salary range for this role is $130,900-$192,600 USD. 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.
\nThese 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.
\nAn 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.
\nAs 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.
\nWe 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.
\nCompetitive pay based on the work you do here and not your previous salary
\nHealth coverage for you and your family in many locations
\nAbility to craft your calendar with flexible locations and schedules for many roles
\nGenerous number of vacation days each year
\nIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
\nUp to 40 hours each year to use toward volunteer projects you love
\nEmbracing parenthood with minimum of 16 weeks of parental leave
","enriched_at":1777118909195},{"id":"job_7db53eed-402","title":"Principal Analytics Engineer","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7851240","location":"Canada","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We are seeking a Principal Analytics Engineer to lead the design and build of our AI-powered intelligence system. This role involves synthesizing complex data streams into a unified, high-fidelity system that serves as the 'source of truth' for the entire customer journey. You will engineer a structured knowledge layer that enables us to scale Go-To-Market (GTM) efforts in a world where data must be optimized for human reporting, predictive science, and conversational AI alike.
\nKey responsibilities include:
\nArchitecting the foundation: designing and building the core BigQuery and dbt infrastructure that powers our marketing intelligence, transforming raw signals into high-fidelity, agent-ready data products.
\nEnabling AI & Agents: developing the semantic layer and structured knowledge base that allows AI agents to accurately 'talk' to our business data and reason through complex performance questions.
\nMapping the journey: integrating disparate signals across digital, product, and sales into a unified lifecycle model that tracks the customer's path from discovery to revenue.
\nScaling through partnerships: partnering with Enterprise, Product, Sales, and Finance teams to align on shared metrics while mentoring other engineers to uphold high standards for our data foundation.
\nRequirements include:
\nDeep experience with BigQuery, dbt, and semantic layers.
\nAbility to build complex, interconnected systems by starting with the desired outcome and working backward.
\nSystems & Design Thinking: the ability to look at a complex web of data and see the underlying architecture required to make it simple and extensible.
\nCollaborative Communication: a track record of 'translating' technical debt into business value and coaching peers through complex architectural hurdles.
\nOperational Excellence & Governance: treating data as infrastructure and having deep experience implementing data contracts, automated quality monitoring (DQM), and governance frameworks.
","enriched_at":1777118896046},{"id":"job_fc7a8c9c-c0d","title":"Senior Software Engineer - Timeseries - Elasticsearch","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7851469","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're looking for a Senior Software Engineer to join the team that's contributing to improving our storage efficiency for metrics, logs, and other types of data, advancing our ES|QL solution to query such data, as well as optimizing the storage layout for object storage.
\nAs a software engineer in the team, you will work on different initiatives, such as enhancing current logging solutions to ensure that logging data is always accepted and persisted, advancing our current metrics processing capabilities to ensure massive and seamless adoption by our customers, and improving storage efficiency across the board. You’ll also be extending the logic for efficiently querying and aggregating the stored data, taking their storage layout and ordering into account.
\nOur company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive, and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.
\nCompensation 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.
\nThe typical starting salary range for this role is:
\n$133,100-$210,600 USD
\nThe typical starting salary range for this role in the select locations listed above is:
\n$159,900-$252,900 USD
","enriched_at":1777118883414},{"id":"job_11f43791-f75","title":"Senior Product Manager, APM - Observability","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7850986","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on APM, Synthetics and RUM 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 the applications we monitor.
\nThis role significantly impacts the success of our Observability product!
\nCompensation for this role is in the form of base salary. This role does not have a variable compensation component.
\nThe 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.
\nThese 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.
\nAn 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 organisational needs.
\nElastic 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.
","enriched_at":1777118850934},{"id":"job_fb470c7c-d85","title":"Senior Product Manager, APM - Observability","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7850987","location":"Canada","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on APM, Synthetics and RUM 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 the applications we monitor.
\nThis role significantly impacts the success of our Observability product!
\nKey Responsibilities:
\nRequirements:
\nAdditional Information:
\nWe are searching for an Enterprise Account Executive to expand our Enterprise and Strategic customer accounts. Our Enterprise Account Executives are individual contributors who are passionate about building new business and growing the Elastic footprint within accounts of more than 4,000 employees. They ensure our customers are successfully leveraging Elastic cloud solutions across their organization.
\nAs an Enterprise Account Executive, you will be responsible for building awareness and driving demand for Elastic solutions within new Enterprise accounts. You will serve as an evangelist for our Open Source offerings while communicating and demonstrating the capabilities of our commercial features. You will uncover new and diverse use cases to enable our users to work smarter, not harder. You will collaborate across Elastic business functions to ensure a seamless customer experience. You will work thoughtfully with customers to identify new business opportunities, leading through the sales cycle and closing complex transactions. You will build a robust business plan through community, customer, and partner ecosystems to achieve significant Elastic growth within your accounts.
\nTo be successful in this role, you will need to have a track record of success in selling SaaS subscriptions into net new complex accounts, demonstrated by overachievement of quota and strong customer references. You will need to have a deep understanding and preferably experience selling into the ecosystem we live in, including Enterprise Search, Logging, Security, APM, and Cloud. You will need to be able to build relationships and credibility with both Developers and Executives. You will need to have predictability and accurate forecasting capabilities using SFDC. You will need to appreciate the Open Source go-to-market model and the community of users who rely on our solutions every single day. You will need to have previous experience selling SaaS into the Enterprise accounts included in this territory.
","enriched_at":1777032911482},{"id":"job_2ad7e2b2-4ad","title":"Enterprise Account Executive","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7766695","location":"South Africa","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Sales","description":"We're looking for a high-energy Enterprise Account Executive to drive net-new revenue and expansion within strategic Enterprise accounts. You'll be the owner of a defined territory where you'll build your own pipeline, tell the Elastic Search AI story, and close complex, multi-stakeholder deals in a consumption-based model.
\nThis role sits at the intersection of sales execution, technical fluency, and cross-functional collaboration,and is critical to our growth in the Enterprise segment.
\nKey Responsibilities:
\nRequirements:
\nWe offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you're a motivated and experienced sales professional looking for a new challenge, we encourage you to apply.
","enriched_at":1777032877109},{"id":"job_f87d2145-d79","title":"Senior Solutions Architect, Pursuit (Pre-Sales)","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7798051","location":"United States","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"We're seeking a Senior Solutions Architect to join our Pre-Sales team. As a Solutions Architect, you will serve as a technical authority and trusted advisor to our sales team, customers, partners, and community. You will understand and tackle our customer's business issues with the Elastic Stack, engage the regional Elastic community through events and programs, and enable sales through our Partners.
\nKey responsibilities include:
\nRequirements include:
\nCompensation for this role is in the form of base salary plus a variable component, that together comprise the On-Target Earnings (OTE). On-Target Earnings (OTE) are based on a 70/30 pay mix (base salary / target variable).
\nThe typical starting OTE range for new hires in this role is listed below. This range represents the lowest to highest OTE 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 range may be modified in the future.
\nAn employee's position within the OTE 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.
\nElastic 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.
","enriched_at":1777032869864},{"id":"job_7c28d688-6ad","title":"Strategic Account Executive - Mexico","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7833952","location":"Mexico","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Sales","description":"We are seeking a highly motivated and strategic Account Executive to join our team in Mexico, focused on the Upper Enterprise segment. This role will manage and grow one of the most important accounts in the region while driving new business within a defined territory.
\nDo you have a strong track record of enterprise sales success, experience navigating complex organizations, and the ability to build trusted relationships with senior stakeholders? This is a high-impact role requiring strategic thinking, strong execution, and a customer-centric mindset.
\nThis role is critical for ensuring strong coverage of a highly strategic territory and maintaining momentum within a key account in Mexico. The person in this position will play a key role in protecting existing business, expanding customer engagement, and driving long-term market growth!
\n