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Distributed Systems - Elasticsearch","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7982099","location":"United Kingdom","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience. This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes.</p>\n<p>Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.</p>\n<p>Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.</p>\n<p>Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today</p>\n<p>Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.</p>\n<p>Supporting our support engineers with the harder problems.</p>\n<p>A strong background in distributed systems and consensus algorithms.</p>\n<p>You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.</p>\n<p>You have a deep technical proficiency in algorithms.</p>\n<p>You have shown your ability to understand and work on complex, highly distributed systems.</p>\n<p>You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.</p>\n<p>You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.</p>\n<p>You have experience managing projects involving multiple engineers.</p>\n<p>Bonus Points:</p>\n<p>Data stores</p>\n<p>Search, analytics, Lucene</p>\n<p>Strong knowledge of the JDK</p>\n<p>Asynchronous event-driven network frameworks such as Netty</p>","enriched_at":1781266242473},{"id":"job_9ae151e2-4fe","title":"Principal Software Engineer I - Distributed Systems - Elasticsearch","source_url":"https://job-boards.greenhouse.io/elastic/jobs/8002558","location":"Ireland","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We are on the lookout for a Principal Software Engineer I to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience.</p>\n<p>This team owns how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and replicated across nodes.</p>\n<h4>Key Responsibilities</h4>\n<ul>\n<li>Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines.</li>\n<li>Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole.</li>\n<li>Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today</li>\n<li>Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions.</li>\n<li>Supporting our support engineers with the harder problems.</li>\n</ul>\n<h4>What You Bring</h4>\n<ul>\n<li>A strong background in distributed systems and consensus algorithms.</li>\n<li>You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.</li>\n<li>You have a deep technical proficiency in algorithms.</li>\n<li>You have shown your ability to understand and work on complex, highly distributed systems.</li>\n<li>You demonstrate the ability to build and debug features with a broad impact, running on multiple machines.</li>\n<li>You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.</li>\n<li>You have experience managing projects involving multiple engineers.</li>\n</ul>\n<h4>Bonus Points</h4>\n<ul>\n<li>Data stores</li>\n<li>Search, analytics, Lucene</li>\n<li>Strong knowledge of the JDK</li>\n<li>Asynchronous event-driven network frameworks such as Netty</li>\n</ul>\n<h4>Additional Information</h4>\n<p>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.</p>\n<p>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.</p>\n<ul>\n<li>Competitive pay based on the work you do here and not your previous salary</li>\n<li>Health coverage for you and your family in many locations</li>\n<li>Ability to craft your calendar with flexible locations and schedules for many roles</li>\n<li>Generous number of vacation days each year</li>\n<li>Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service</li>\n<li>Up to 40 hours each year to use toward volunteer projects you love</li>\n<li>Embracing parenthood with minimum of 16 weeks of parental leave</li>\n</ul>","enriched_at":1781266102016},{"id":"job_2b3640a7-b86","title":"Principal Product Manager, AI agents - Search","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7995187","location":"Portugal","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Elastic is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organisations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate.</p>\n<p>In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Working directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, and clarify product needs</li>\n</ul>\n<ul>\n<li>Building, socializing, and aligning a roadmap for core context engineering capabilities built on top of Elastic-powered retrieval and relevance for AI Agents</li>\n</ul>\n<ul>\n<li>Deeply understanding the AI Agent market, major players, trends, and how it may impact our strategy</li>\n</ul>\n<ul>\n<li>Working directly with data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities</li>\n</ul>\n<ul>\n<li>Working with design to build user experiences that address gaps in how agents show and refine context as they work</li>\n</ul>\n<ul>\n<li>Being the product expert and evangelizing capabilities for Agent Builder through content like blog posts and open-source projects</li>\n</ul>\n<ul>\n<li>Working with a broad ecosystem of AI partners, including cloud service providers (Google, Amazon, Microsoft) and community developers</li>\n</ul>\n<p>The ideal candidate will have extensive experience in product management or solution delivery for technical, cloud infrastructure, or platform products. They should have a deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. They should also be comfortable working closely with engineers and data scientists to solve intricate technical challenges.</p>\n<p>Additional requirements include:</p>\n<ul>\n<li>10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products</li>\n</ul>\n<ul>\n<li>Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering</li>\n</ul>\n<ul>\n<li>Bias to action, with the ability to move fast and quickly learn from experiments and tests</li>\n</ul>\n<ul>\n<li>Leadership and influence, with the ability to lead across a matrixed organization and drive execution in a fast-paced, remote-first environment</li>\n</ul>\n<ul>\n<li>Excellent communication skills, with the ability to distill complex engineering details into compelling narratives for both technical and non-technical audiences</li>\n</ul>\n<ul>\n<li>Customer obsession, with a passion for industry trends and a commitment to solving real-world customer problems</li>\n</ul>\n<p>Compensation for this role is in the form of base salary, with a typical starting salary range of €67,000-€106,000 EUR.</p>","enriched_at":1781179840012},{"id":"job_8c796181-64f","title":"Principal Product Manager, AI agents - Search","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7995180","location":"United Kingdom","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organisations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate.</p>\n<p>In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelising our solutions to a global community of AI developers.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Working directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs</li>\n<li>Building, socialising and aligning a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents</li>\n<li>Deeply understanding the AI Agent market, major players, trends and how it may impact our strategy</li>\n<li>Working directly with data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities</li>\n<li>Working with design to build user experiences that address gaps in how agents show and refine context as they work</li>\n<li>Being the product expert and evangelising capabilities for Agent Builder through content like blog posts and open source projects</li>\n<li>Working with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers</li>\n</ul>\n<p>To succeed in this role, you will need:</p>\n<ul>\n<li>Extensive experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products. A consistent record of leading sophisticated, data-intensive products from inception through launch and iterative growth.</li>\n<li>AI and ML fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering. You are comfortable working closely with engineers and data scientists to solve intricate technical challenges.</li>\n<li>Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilise AI tools to help accelerate your processes and bring clarity to your decisions.</li>\n<li>Leadership and influence: Demonstrated ability to lead across a matrixed organisation, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment.</li>\n<li>Communication excellence: Outstanding spoken and written communication skills. You can distill complex engineering details into compelling narratives for both technical and non-technical audiences, including executive leadership.</li>\n<li>Customer obsession: A passion for industry trends and a commitment to solving real-world customer problems. You are an advocate for the developer persona and are dedicated to building products that empower users to innovate.</li>\n</ul>\n<p>Additional information:</p>\n<p>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.</p>\n<p>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.</p>\n<ul>\n<li>Competitive pay based on the work you do here and not your previous salary</li>\n<li>Health coverage for you and your family in many locations</li>\n<li>Ability to craft your calendar with flexible locations and schedules for many roles</li>\n<li>Generous number of vacation days each year</li>\n<li>Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service</li>\n<li>Up to 40 hours each year to use toward volunteer projects you love</li>\n<li>Embracing parenthood with minimum of 16 weeks of parental leave</li>\n</ul>","enriched_at":1781179828004},{"id":"job_417f84e2-32f","title":"Principal Product Manager, AI agents - Search","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7995182","location":"Greece","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Elastic is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs</li>\n<li>Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents</li>\n<li>Deeply understand the AI Agent market, major players, trends and how it may impact our strategy</li>\n<li>Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities</li>\n<li>Work with design to build user experiences that address gaps in how agents show and refine context as they work</li>\n<li>Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects</li>\n<li>Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products</li>\n<li>AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering</li>\n<li>Bias to action: You are able to move fast and quickly learn from experiments and tests</li>\n<li>Leadership and Influence: Demonstrated ability to lead across a matrixed organization, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment</li>\n<li>Communication Excellence: Outstanding spoken and written communication skills</li>\n<li>Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems</li>\n</ul>\n<p>Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The typical starting salary range for this role is:€73.300-€115.900 EUR</p>","enriched_at":1781179792302},{"id":"job_90bd6bf2-355","title":"Inside Account Executive (Hunter)","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7997314","location":"New York City, NY","job_type":"full-time","experience_level":"mid","work_arrangement":"hybrid","category":"Sales","description":"<p>As a Hunter Inside Sales Representative, you will be a pivotal part of Elastic&#39;s growth focusing on selling, managing, and growing net new accounts within our Commercial segment.</p>\n<p>Our Hunter Virtual Sales Reps are individual contributors, focused on building new business, within a set of whitespace accounts. Within this role you will have the opportunity to engage and partner with large Commercial accounts solving critical business needs for those customers while positioning our suite of products across (Search, Observability, and Security).</p>\n<p>Are you someone who is a go-getter that has to drive to excel in a fast-growing segment of new accounts? If so, we&#39;d love to hear from you!</p>\n<p>Ideal candidates will be based near Austin, TX; New York, NY; or Arlington, VA, and be available to work from the office as needed.</p>\n<p>What You Will Be Doing</p>\n<ul>\n<li>Develop and build a territory plan for ~100 to 150 accounts that you will actively own, call, and manage in a defined territory</li>\n<li>Focusing entirely on Whitespace Accounts</li>\n<li>Create a strategic prospecting strategy that you will execute daily to gain introductions, solve business challenges, and effectively position our technology</li>\n<li>Identify and qualify new opportunities leveraging your own creativity, inbound lead flow, personal prospecting efforts, contacts, existing accounts and partners</li>\n<li>Work cross-functionally with our sales development, marketing, partner, product and customer service teams to deliver outstanding results</li>\n<li>Negotiate pricing and contractual terms as required to close the sale</li>\n<li>Accurately forecast profitable and predictable territory performance and required resources through adherence of our sales process</li>\n</ul>\n<p>What You Bring</p>\n<ul>\n<li>2+ years of experience in sales roles, that are defined as hunting or creating new accounts</li>\n<li>Strong ability to plan and execute strategies related to driving pipeline in whitespace accounts</li>\n<li>A collaborative and inventive approach to problem-solving</li>\n<li>The desire and ability to operate and thrive in an ambitious, self-starting environment</li>\n<li>Technologically adept and business acumen focused with outstanding communication both written and oral, negotiation and presentation skills</li>\n</ul>\n<p>Bonus Points</p>\n<ul>\n<li>Prior experience at an open-source or developer‐centric infrastructure company.</li>\n<li>Familiarity with observability (logs, metrics, traces) or security analytics (SIEM/XDR) use cases.</li>\n</ul>\n<p>If you&#39;re driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we&#39;d love to talk. Apply today!</p>\n<p>Compensation 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 50/50 pay mix (base salary / target variable). The 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. An employee&#39;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.</p>\n<p>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&#39;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.</p>\n<p>The typical starting salary range for this role is: $65,600- $103,700 USD</p>\n<p>The typical starting Target Variable range for this role is: $65,500- $103,600 USD</p>\n<p>The typical starting On-Target Earnings (OTE) range for this role is: $131,100- $207,300 USD</p>","enriched_at":1781179751796},{"id":"job_58afd025-e33","title":"Cloud Billing Associate","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7991494","location":"Bangalore, India","job_type":"full-time","experience_level":"mid","work_arrangement":"remote","category":"Finance","description":"<p>As a Cloud Billing Operations Associate, you will provide support to the cloud billing process, invoicing, suspension, termination, bad debt and credit card processing. You will manage the support case queue, perform account reconciliations, answer customer cloud billing disputes, address field inquiries, perform ad-hoc reporting for monthly billing cycle, process Return Authorizations, participate in cloud billing optimization projects, among other tasks. You will partner closely with customer support and engineering teams.</p>\n<p>A self-starter, problem-solver, meticulous, flexible, and focused on creating an excellent experience for both internal and external customers. To succeed in this position, the Cloud Billing Operations Associate will be both an independent contributor and a team player; and will have a passion for recognizing areas of improvements and implementing change to contribute to enhancements of the overall workflow process.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Supporting cloud billing and invoicing process</li>\n<li>Working directly with customers as well as internal customers to understand and resolve their issues via email or sometimes by phone</li>\n<li>Managing, prioritizing, and tracking your work in a case management system</li>\n<li>Generate reconciliation reports from various platforms</li>\n<li>Process Return Authorizations and Credit Memos in NetSuite</li>\n<li>Collaborate with various teams including Support, Legal, OrderOps, Engineering etc. on advanced billing &amp; contract issues to resolve customer disputes</li>\n<li>Work with the Cloud Billing (Eng) Team to review/verify accounts subject to suspension due to nonpayment</li>\n<li>Perform light collections for monthly subscribers through a credit card payment platform</li>\n<li>Submit invoices through 3rd party payment platforms as necessary</li>\n<li>Submit evidence for Chargeback disputes through our credit card payment gateway</li>\n<li>Understand the current business systems and workflows to help us make proactive process improvements</li>\n<li>Perform root cause analysis and problem solve</li>\n</ul>\n<p>оу</p>\n<p>Requirements include:</p>\n<ul>\n<li>3-5 years of professional experience in billing operations or related financial operation</li>\n<li>Work hours flexibility: need work at calendar day 1 at quarter end (even if holiday / weekend) and work US hours for at least day 1-2 of each month</li>\n<li>Strong communication skills, both verbal and written</li>\n<li>Strong attention-to-detail</li>\n<li>Creative problem-solving skills</li>\n<li>Strong ability to work independently and prioritize in distributed, dynamic, fast-paced environment</li>\n<li>Ability to interact with customers and other teams</li>\n<li>Accustomed to working with case management system</li>\n<li>Positivity! We each love what we do and believe that a positive attitude matters</li>\n<li>Proficiency in MS Excel or Google Spreadsheet- VLOOKUP, pivot tables, analysis</li>\n<li>Basic proficiency in a SQL / Query language and/or Excel Macros</li>\n</ul>\n<p>Bonus points include:</p>\n<ul>\n<li>Understanding of cloud technologies, e.g., AWS, Azure, Google and cloud billing models a plus</li>\n<li>Experience with NetSuite, Salesforce, Stripe</li>\n<li>Comfort using basic AI tools to increase efficiency and support day-to-day operations</li>\n</ul>","enriched_at":1781179738881},{"id":"job_33591b63-b28","title":"Principal Product Manager Infrastructure, Observability","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7992592","location":"Canada, CA","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We&#39;re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on Infrastructure Observability. With your knowledge and understanding of the Observability domain and expertise in Infrastructure Observability, you&#39;ll help ensure that we give our customers the best end to end full stack Observability experience for the infrastructure systems and services we monitor. This role significantly impacts the success of our Observability product!</p>\n<ul>\n<li>Defining and driving the vision and strategy for Infrastructure Observability, aligning at every step with organisational and company strategy.</li>\n</ul>\n<ul>\n<li>Identifying gaps in end to end experience, defining and owning the roadmap to fill those gaps.</li>\n</ul>\n<ul>\n<li>Working closely across teams and across Orgs, collaborating with Engineering, UX, Design and other teams to deliver on your roadmap to bring top notch experiences to our users.</li>\n</ul>\n<ul>\n<li>Working with our Sales &amp; Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption.</li>\n</ul>\n<ul>\n<li>Tracking user engagement and feedback to inform product and feature evolution.</li>\n</ul>\n<p>Ideally 10+ years in product management or closely related area</p>\n<p>Extensive experience in monitoring cloud and/or infrastructure systems and services powering modern applications</p>\n<p>Observability and/or performance monitoring domain knowledge</p>\n<p>Comfort working independently with and converting abstract problems into concrete, prioritised solutions, working from the customer backwards, using AI tools to bring accelerate alignment and outcomes</p>\n<p>Outstanding spoken and written communication skills</p>\n<p>Passion for industry trends, competitive landscape</p>\n<p>Ability to lead and collaborate effectively across multiple organisations and teams</p>\n<p>Experience working in remote, globally distributed work environment is optional but desired</p>\n<p>Knowledge of open-source software is optional but desired</p>","enriched_at":1781179725239},{"id":"job_f09459c0-444","title":"Principal Product Manager Infrastructure, Observability","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7992591","location":"United States, US","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>We&#39;re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on Infrastructure Observability. With your knowledge and understanding of the Observability domain and expertise in Infrastructure Observability, you&#39;ll help ensure that we give our customers the best end to end full stack Observability experience for the infrastructure systems and services we monitor. This role significantly impacts the success of our Observability product!</p>\n<h4>Responsibilities</h4>\n<ul>\n<li>Defining and driving the vision and strategy for Infrastructure Observability, aligning at every step with organisational and company strategy.</li>\n</ul>\n<ul>\n<li>Identifying gaps in end to end experience, defining and owning the roadmap to fill those gaps.</li>\n</ul>\n<ul>\n<li>Working closely across teams and across Orgs, collaborating with Engineering, UX, Design and other teams to deliver on your roadmap to bring top notch experiences to our users.</li>\n</ul>\n<ul>\n<li>Working with our Sales &amp; Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption.</li>\n</ul>\n<ul>\n<li>Tracking user engagement and feedback to inform product and feature evolution.</li>\n</ul>\n<h4>What You Bring</h4>\n<ul>\n<li>Ideally 10+ years in product management or closely related area</li>\n</ul>\n<ul>\n<li>Extensive experience in monitoring cloud and/or infrastructure systems and services powering modern applications</li>\n</ul>\n<ul>\n<li>Observability and/or performance monitoring domain knowledge</li>\n</ul>\n<ul>\n<li>Comfort working independently with and converting abstract problems into concrete, prioritised solutions, working from the customer backwards, using AI tools to bring accelerate alignment and outcomes</li>\n</ul>\n<ul>\n<li>Outstanding spoken and written communication skills</li>\n</ul>\n<ul>\n<li>Passion for industry trends, competitive landscape</li>\n</ul>\n<ul>\n<li>Ability to lead and collaborate effectively across multiple organisations and teams</li>\n</ul>\n<ul>\n<li>Experience working in remote, globally distributed work environment is optional but desired</li>\n</ul>\n<ul>\n<li>Knowledge of open-source software is optional but desired</li>\n</ul>","enriched_at":1781179716609},{"id":"job_c13f4e15-a10","title":"Principal Product Manager, AI agents - Search","source_url":"https://job-boards.greenhouse.io/elastic/jobs/7995138","location":"Ireland","job_type":"full-time","experience_level":"senior","work_arrangement":"remote","category":"Engineering","description":"<p>Elastic is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organisations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelising our solutions to a global community of AI developers.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs</li>\n<li>Build, socialise and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents</li>\n<li>Deeply understand the AI Agent market, major players, trends and how it may impact our strategy</li>\n<li>Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities</li>\n<li>Work with design to build user experiences that address gaps in how agents show and refine context as they work</li>\n<li>Be the product expert and evangelise capabilities for Agent Builder through content like blog posts and open source projects</li>\n<li>Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Extensive Experience: 10+ years of experience in product management or solution delivery for technical, cloud infrastructure, or platform products</li>\n<li>AI and ML Fluency: Deep technical understanding of the AI/ML landscape, including LLMs, RAG architectures, vector databases, and context engineering</li>\n<li>Bias to action: You are able to move fast and quickly learn from experiments and tests</li>\n<li>Leadership and Influence: Demonstrated ability to lead across a matrixed organisation, align multiple stakeholders toward a common vision, and drive execution in a fast-paced, remote-first environment</li>\n<li>Communication Excellence: Outstanding spoken and written communication skills</li>\n<li>Customer Obsession: A passion for industry trends and a commitment to solving real-world customer problems</li>\n</ul>\n<p>Compensation for this role is in the form of base salary. This role does not have a variable compensation component. At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets. The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position. The typical starting salary range for this role is: €102,700-€162,500 EUR</p>","enriched_at":1781089802036}],"category_normalised":[{"category":"engineering","count":17},{"category":"sales","count":10},{"category":"marketing","count":4},{"category":"finance","count":2},{"category":"legal","count":1},{"category":"hr","count":1}],"velocity":{"weeks":[{"week_start":"2026-04-13","count":12},{"week_start":"2026-04-20","count":1},{"week_start":"2026-05-11","count":1},{"week_start":"2026-05-18","count":3},{"week_start":"2026-05-25","count":3},{"week_start":"2026-06-08","count":15}],"trend":"accelerating","wow_pct":400},"momentum":{"recent_14d":15,"prior_14d":3,"growth_pct":400,"classification":"stable"},"salary_vs_industry":{"company_median":122500,"industry_median":null,"percentile":null,"sample_size":11,"by_region":[{"region":"United States","company_median":172150,"industry_median":null,"sample":6},{"region":"EU","company_median":105307,"industry_median":null,"sample":4}],"transparency_pct":31,"industry_transparency_pct":0,"transparency_warning":false},"market_share":{"company_jobs":35,"industry_total":35,"share_pct":100,"rank":1,"peer_count":1},"ai_exposure":{"occupation_weighted_score":0.248,"skill_weighted_score":0.32,"top_exposed_titles":[{"title":"Principal Product Manager, AI agents - Search","count":7,"score":0.32},{"title":"Principal Product Manager Infrastructure, Observability","count":3,"score":0.32},{"title":"Principal Software Engineer I - Distributed Systems - Elasticsearch","count":2,"score":0.288},{"title":"Enterprise Account Executive, Expand East","count":2,"score":0.043}],"top_exposed_skills":[{"skill":"Artificial Intelligence","count":8,"score":0.323},{"skill":"Large Language Models","count":6,"score":0.32},{"skill":"RAG Architectures","count":6,"score":0.32},{"skill":"Context Engineering","count":7,"score":0.32},{"skill":"Product Management","count":10,"score":0.32},{"skill":"Cloud Infrastructure","count":7,"score":0.32},{"skill":"Platform Products","count":7,"score":0.32},{"skill":"Performance Monitoring","count":3,"score":0.32},{"skill":"Open-source Software","count":3,"score":0.32},{"skill":"Machine Learning","count":5,"score":0.313}]},"peer_set":[],"skills_lq":[],"geographic_shift":{"current":[{"region":"United States","count":16,"share_pct":45.7},{"region":"EU","count":8,"share_pct":22.9},{"region":"Canada","count":3,"share_pct":8.6},{"region":"United Kingdom","count":3,"share_pct":8.6},{"region":"India","count":3,"share_pct":8.6},{"region":"Latin America","count":2,"share_pct":5.7}],"emerging":[{"region":"EU","recent_30d":7,"prior_30d":0,"growth_pct":100},{"region":"United States","recent_30d":6,"prior_30d":1,"growth_pct":500}],"shrinking":[]},"seniority_anomalies":{"exec_recent_30d":0,"exec_prior_90d_avg":0,"exec_growth_pct":0,"notable_exec_hires":[]},"posting_dynamics":{"median_days_open":18,"industry_median_days_open":null,"long_open_count":0,"closure_rate_pct":51}}}}