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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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. 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.  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 Registered Retirement Savings Plan (RRSP) 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: $128,300 — $203,000 CAD 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 Elasticsearch powers search, observability, and AI retrieval (RAG) for the world's largest organizations. We are seeking a Senior Software Engineer to lead competitive benchmarking initiatives within the Elasticsearch Performance team.  You will develop representative workloads, automate reproducible experiments, and investigate how Elasticsearch compares with alternative systems. Your work will identify performance strengths, gaps, and tradeoffs, guide engineering improvements, and help customers make informed technical decisions. This is a hands-on engineering role focused on building benchmarks and investigating performance, with technical publishing as a shared responsibility alongside engineering and content partners. A typical investigation might ask how Elasticsearch and an alternative system compare under concurrent ingestion and hybrid search, at comparable retrieval quality and cost, and which engineering changes would improve the outcome. This role offers the opportunity to connect deep performance analysis with product improvements and public technical work. What You Will Be Doing Own prioritized competitive benchmarking initiatives across search, vector and hybrid retrieval, and analytical and observability workloads. Build and maintain automated benchmark harnesses, datasets, query sets, and load profiles that reflect real-world usage, including concurrent ingestion and querying. Design fair comparisons with documented system versions, configurations, tuning decisions, resource budgets, and functional differences. Evaluate latency distributions, throughput, resource consumption, and cost efficiency. For retrieval workloads, measure performance at comparable recall or relevance targets. Adapt and extend workload-appropriate tools such as Elasticsearch Rally, ClickBench, and vector search benchmark frameworks. Investigate performance differences using profiling, system metrics, and controlled experiments; collaborate with engineering teams to identify causes and validate improvements. Evaluate relevant self-managed and managed cloud deployments, including serverless offerings, accounting for scaling behavior and service constraints. Work with engineering and technical content partners to publish reproducible benchmark artifacts and clear technical reports that explain methodology, findings, limitations, and tradeoffs. Partner with engineering and product management to prioritize benchmark coverage and translate findings into actionable product improvements. What You Bring  Solid software engineering skills, with experience building maintainable automation and analysis tools in Python or another relevant programming language. Hands-on experience evaluating and diagnosing performance in distributed systems, databases, or search infrastructure. Depth in at least one relevant area (search, vector retrieval, analytical databases, or observability systems) and the ability to learn unfamiliar systems. Experience designing representative datasets and workloads, including query patterns, concurrency, and ingestion behavior. Sound experimental judgment, including repeated measurements, variability analysis, warm-up and cache effects, and the distinction between meaningful changes and measurement noise. Experience building reproducible test environments and documenting configurations, procedures, and results. Clear technical writing and communication skills, with the ability to explain complex findings and their limitations. Solid collaboration skills and the ability to turn performance evidence into applicable engineering recommendations. Bonus Points Experience with Elasticsearch, Lucene, Rally, ClickBench, or vector search benchmark frameworks. Experience measuring retrieval quality alongside latency, throughput, and resource usage. Familiarity with cloud performance and cost analysis, including autoscaling and serverless systems. Public technical writing, open-source contributions, or published benchmark studies. 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: €67.000 — €106.000 EUR 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 is searching for a Sales Specialist, Security to expand our Enterprise and Strategic customer accounts in BENELUX. Our Security specialists are passionate about building new business and growing the Elastic Security footprint within our Top Accounts. Our Security specialists are passionate about leading & owning our Security footprint; focused on SIEM, Security Analytics, Endpoint Security & Cloud Security solutions. What You Will be doing: Prospect and build awareness of Elastic Security solutions within new accounts by acting as both a player and coach to Account Executives, based on the agreed account strategy. Build relationships with security leaders with region and customer accounts. Collaborate, mentor, and coach Account Executives to position Elastic Security offerings and expansion within existing customers. Manage opportunities to closure based on account and opportunity strategy. Oversee and own security revenue forecasting for the region. Work with regional teams to respond to customer requests for quotes and proposals. Mentor and oversee all customer Elastic Security proof of concept/value engagements. Work collaboratively with the Elastic Security Specialists SA's on account planning, strategy as well as creative projects that will generate sales leads.  Cooperate with the Elastic Security Specialists SA's on account planning, strategy and creative projects to generate sales leads. Promote Elastic Security offerings and demonstrate commercial features Deliver customer presentations and roadmaps Collaborate with Solutions Architects on Elastic Security demos Collaborate with regional sales leadership to track cybersecurity opportunities, and provide updates during team calls. Partner with Regional Marketing Teams to drive Elastic Security pipeline through webinars and workshops. Build relationships with Elastic Security Product and Engineering teams to stay informed on the latest offerings and ensure customer success. What You Bring: In-depth understanding selling solutions related to Security (SIEM) A proven track record in SaaS subscription sales, particularly in complex accounts, evidenced by quota overachievement and strong customer references. Adept at building relationships and establishing credibility with both developers and executives. Consistent and accurate sales forecasting skills using SFDC. Enthusiasm for the Open Source model and a deep appreciation for the community relying on our solutions. Prior experience selling into the Enterprise accounts included in this territory. Bonus Points: Experience in selling within an Open Source model. If you're eager to contribute to the world of Search Analytics and thrive in solving complex problems through the power of AI-driven search, Elastic wants to hear from you! Compensation for this role is in the form of base salary plus a variable 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 On-Target Earnings range (Base Salary + Variable) for this role is: €161.400 — €255.300 EUR 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 is searching for a Sales Specialist, Security to expand our Enterprise and Strategic customer accounts in Italy. Our Security specialists are passionate about building new business and growing the Elastic Security footprint within our Top Accounts. Our Security specialists are passionate about leading & owning our Security footprint; focused on SIEM, Security Analytics, Endpoint Security & Cloud Security solutions. What You Will be doing: Prospect and build awareness of Elastic Security solutions within new accounts by acting as both a player and coach to Account Executives, based on the agreed account strategy. Build relationships with security leaders with region and customer accounts. Collaborate, mentor, and coach Account Executives to position Elastic Security offerings and expansion within existing customers. Manage opportunities to closure based on account and opportunity strategy. Oversee and own security revenue forecasting for the region. Work with regional teams to respond to customer requests for quotes and proposals. Mentor and oversee all customer Elastic Security proof of concept/value engagements. Work collaboratively with the Elastic Security Specialists SA's on account planning, strategy as well as creative projects that will generate sales leads.  Cooperate with the Elastic Security Specialists SA's on account planning, strategy and creative projects to generate sales leads. Promote Elastic Security offerings and demonstrate commercial features Deliver customer presentations and roadmaps Collaborate with Solutions Architects on Elastic Security demos Collaborate with regional sales leadership to track cybersecurity opportunities, and provide updates during team calls. Partner with Regional Marketing Teams to drive Elastic Security pipeline through webinars and workshops. Build relationships with Elastic Security Product and Engineering teams to stay informed on the latest offerings and ensure customer success. What You Bring: In-depth understanding selling solutions related to Security (SIEM) A proven track record in SaaS subscription sales, particularly in complex accounts, evidenced by quota overachievement and strong customer references. Adept at building relationships and establishing credibility with both developers and executives. Consistent and accurate sales forecasting skills using SFDC. Enthusiasm for the Open Source model and a deep appreciation for the community relying on our solutions. Prior experience selling into the Enterprise accounts included in this territory. Bonus Points: Experience in selling within an Open Source model. If you're eager to contribute to the world of Search Analytics and thrive in solving complex problems through the power of AI-driven search, Elastic wants to hear from you! Compensation for this role is in the form of base salary plus a variable 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 On-Target Earnings range (Base Salary + Variable) for this role is: €150.800 — €238.500 EUR 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. 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.  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 Registered Retirement Savings Plan (RRSP) 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: $192,500 — $304,500 CAD 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. 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: €130.900 — €207.100 EUR 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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 looking for a Principal Product Manager to lead the strategy and roadmap for Elastic's embedding/reranking and vector database and related capabilities. In this senior role, you'll be the go-to expert on search/vector search, guiding the direction for technologies like vector indexing and hybrid retrieval. This position offers the chance to shape a vital part of our product, working closely with engineering and research teams to ensure that our offerings meet the needs of numerous organizations while keeping pace with the evolving landscape of AI. What You Will Be Doing Conduct market research to uncover emerging trends in search/vector databases as well as SOTA model research in emerging areas to manage unstructured data, working alongside our model team. Evaluate the competitive landscape to enhance product positioning and develop user personas that guide feature decisions. Collaborate with cross-functional teams to align the product strategy with business goals while prioritizing features based on customer feedback and market demands. Establish long-term product goals and milestones for the vector use cases, document AI and unstructured data management to drive its development. Prioritize features and enhancements based on user feedback and technical feasibility. Allocate resources skillfully to ensure timely updates, while coordinating with engineering teams to validate roadmap assumptions. Communicate updates and expectations clearly to stakeholders and executives. Own the vision, strategy, and multi-quarter roadmap for Elastic's vector database as well as core search use cases, from low-level indexing internals to the developer-facing APIs and SDKs. Partner deeply with engineering and applied research on trade-offs, be a credible technical peer in those conversations. Define and defend the metrics that matter: recall, latency, index size, ingestion throughput, and total cost of ownership. Advance the competitiveness of Elastic AI and Vector products across all deployments - Serverless and Self-managed. Define a unified strategy and roadmap across embedding/reranking models and vector indexing/ semantic ingestion, model lifecycle, and end-to-end retrieval quality. Manage the operating cadence. Make sure shared metrics and priorities align the research, cloud, and engineering teams. Address trade-offs where model and index decisions intersect. What You Bring  Bachelor's degree in Computer Science, Engineering, or related field Master's degree in a relevant discipline preferred 8+ years in product management, with significant time on technical infrastructure, databases, search, or ML/AI platforms. You should have good working knowledge of vector search fundamentals. This includes embeddings, ANN indexing, similarity metrics, and trade-offs between recall and latency. Additionally, you need to know about hybrid retrieval. You should have a working knowledge of generative models, model fine tuning, model capabilities and document processing for large corpus You don't need to be a researcher, but you should hold your own with engineers on these topics. A track record of shipping developer- or infrastructure-facing products that were adopted at scale. 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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, the Search AI Company, 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. 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. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs  Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents  Deeply understand the AI Agent market, major players, trends and how it may impact our strategy  Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities  Work with design to build user experiences that address gaps in how agents show and refine context as they work Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects   Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers  What You Bring  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. 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.    Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.  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.    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.    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. 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: €104.800 — €165.700 EUR 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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, the Search AI Company, 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. 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. What You Will Be Doing Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs  Build, socialize and align a roadmap for core context engineering capabilities built on top of Elastic powered retrieval and relevance for AI Agents  Deeply understand the AI Agent market, major players, trends and how it may impact our strategy  Work directly data science and engineering to build out the strategy for benchmarking and evaluations of agent capabilities  Work with design to build user experiences that address gaps in how agents show and refine context as they work Be the product expert and evangelize capabilities for Agent Builder through content like blog posts and open source projects   Work with a broad ecosystem of AI partners including cloud service providers (Google, Amazon, Microsoft) and community developers  What You Bring  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. 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.    Bias to action: You are able to move fast and quickly learn from experiments and tests. You utilize AI tools to help accelerate your processes and bring clarity to your decisions.  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.    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.    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. 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 minimum of 16 weeks of parental leave 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, view posters linked below: Family and Medical Leave Act (FMLA) Poster;   Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (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.

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, the Search Analytics company, is seeking a dynamic Mid-Market Account Executive. To excel as an Account Executive at Elastic , you need a blend of high-level technical curiosity and the gravitas of a value-based seller. Because Elastic isn't just a "product" but a versatile search, observability, and security platform, the role requires moving beyond simple transactions to solving complex data problems. We are seeking a Mid-Market Account Executive dedicated to 100% net-new revenue generation . In this role, you will own the full sales cycle—from cold outreach to close—focused entirely on acquiring new logos in an assigned territory. If you excel at navigating new organizations and demonstrating the value of advanced search technology to stakeholders, this is your opportunity to drive our next phase of growth. What You Will Be Doing Drive Adoption: Fuel the adoption of Elastic's AI-powered search solutions, Observability and Security solutions within new Mid-Market accounts while deepening engagement with existing ones. Be a Trusted Advisor: Assist users and customers in harnessing the full power of search analytics to transform data into actionable insights. Domain & cloud acumen: Position Elastic as the Search AI platform of choice by speaking fluently about cloud economics, usage-based pricing, and modern data architectures. Solve Complex Problems: Move beyond simple transactions to address the intricate data challenges our customers face. Champion Open Source: Articulate the value of our advanced commercial features while advocating for our Open-Source offerings. Identify New Use Cases: Showcase how Elastic's solutions enable users to work more efficiently and intelligently. Strategic Planning: Develop comprehensive business plans leveraging community, customer, and partner ecosystems to drive significant territory growth. Navigate Sales Cycles: Proactively identify new opportunities and successfully manage complex sales cycles. Deep discovery & qualification: Uncover pain, business impact, budget, and decision criteria using frameworks like MEDDPICC so you chase only the highest-confidence deals. Cross-functional partnership: Work hand-in-glove with Solutions Architects, Customer Success, Marketing, and RevOps to accelerate deals and drive exceptional customer outcomes. What You Bring The Right Blend: A combination of high-level technical curiosity and the grit of a value-based seller. Proven Track Record: Success in SaaS subscription sales in Mid -Market accounts, evidenced by overachievement. Mindset: Pure focus on acquiring new logos with a record to prove it.  Value Storytelling: The ability to craft tailored narratives that link Elastic's technical capabilities (Search, Observability, Security) to measurable business outcomes like revenue gain or risk mitigation is critical. Executive negotiation & closing: Lead high-stakes contract and pricing discussions Technical & cloud fluency: Comfortable discussing a broad range of technical topics including security, observability, vector/traditional search, and cloud cost optimization. Relationship Building: Adept at establishing credibility with both technical developers and executive leadership. Mutual deal strategy & forecast accuracy: Consistent, predictable and accurate sales forecasting skills. Collaborate with customers to build formal close plans and keep your CRM up to date. Ability to create alignment across teams to accelerate deals AI Mindset: Use new technologies for performance advantage and deal structuring Open-Source Appreciation: Enthusiasm for the Open-Source model and the community relying on our solutions. If you're driven to build your own pipeline, master complex deal cycles, and help customers unlock the power of Search AI, we'd love to talk. Apply today! Compensation for this role is in the form of base salary plus a variable 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 On-Target Earnings range (Base Salary + Variable) for this role is: €135.200 — €213.900 EUR 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 minimum of 16 weeks of parental leave 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. 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Role Description As the Senior Manager of Lifecycle Marketing, you will own Dropbox's lifecycle marketing strategy across onboarding, engagement, retention, monetization, expansion, cross-sell, and re-engagement. You will lead a team of lifecycle marketers and build a portfolio of programs that help customers discover value, expand their use of Dropbox, and deepen their relationship with our products over time. This is a senior people leadership role with direct accountability for business outcomes. You will set the lifecycle strategy and roadmap, determine where the team should invest, establish how programs are prioritized and measured, and stay close enough to the work to raise the quality of execution and unblock the highest-priority initiatives. You will work closely with Product Growth, Product, Product Marketing, Data Science, Marketing Operations, and other marketing teams. Lifecycle Marketing will own customer communication strategy, channel planning, lifecycle program design, and marketing execution. The opportunity is broader than running an email program. Dropbox has a large global customer base, multiple products, and both product-led and sales-assisted customer motions. The Head of Lifecycle Marketing will define how those pieces connect across the customer lifecycle and build the operating model needed to move from individual campaigns toward scalable growth programs. Responsibilities Own Dropbox's lifecycle marketing strategy and roadmap across onboarding, engagement, retention, monetization, expansion, and multi-product adoption. Lead, coach, and develop a team of lifecycle marketers, with clear goals, operating rhythms, and accountability for business outcomes. Build and manage a portfolio of lifecycle programs using customer behavior, product usage, segmentation, triggers, and personalization to improve adoption, retention, and revenue. Partner with Product Growth, Product Marketing, Data Science, Marketing Operations, and other cross-functional teams to connect lifecycle communications with activation, in-product discovery, monetization, and expansion while maintaining clear ownership across teams. Establish a strong experimentation and measurement approach, using controlled tests, holdouts, cohort analysis, customer behavior, and revenue to determine what creates incremental impact. Build the operating model for lifecycle marketing, including prioritization, planning, governance, and the technical and data capabilities required to execute reliably at scale. Requirements 10+ years of experience across lifecycle marketing, CRM, retention, growth marketing, customer engagement, or closely related disciplines, ideally in a SaaS, subscription, or product-led business. Significant people-management experience, with a track record of hiring, coaching, and leading high-performing teams. Demonstrated experience setting lifecycle strategy and translating it into programs that improve customer adoption, retention, monetization, expansion, or revenue. Deep experience with customer segmentation, behavioral triggers, personalization, experimentation, and marketing automation. Strong technical fluency across CRM and lifecycle systems, customer data, campaign orchestration, measurement, deliverability, and related operational requirements. Strong business judgment and experience working across Product, Product Growth, Data Science, Marketing Operations, Engineering, and Product Marketing to turn complex inputs into clear priorities and decisions. Preferred Qualifications Experience leading lifecycle marketing in a product-led growth business with both self-serve and sales-assisted motions. Experience building expansion, cross-sell, or multi-product programs across a broad existing customer base. Experience with Iterable or comparable enterprise lifecycle and marketing automation platforms. Durable Skills AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve: Awareness: U nderstand yourself and others . Judgment: E valuat e information and mak e decisions in complex situations . Adaptability: L earn, adjust, and stay effective through change . Connection: C ommunicat e , collaborat e , and build trust . To learn more about why these skills matter and what the data shows about thriving through change, read this  blog post from our Chief People Officer, Melanie Rosenwasser. Compensation