Sr. Director, Field Technology and AI

Bonus Points: Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches in a GTM or enterprise operations context. Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases. Experience partnering closely with central IT\/Enterprise Data organizations to deliver shared outcomes across organizational seams. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you\u2019re 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\u2019t matter if you\u2019re just out of college or your children are; we need you for what you can do. We strive to have parity of

benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave 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 [email protected] . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries\u2019 export controls and licensing

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

Compensation for this role is in the form of base salary. This role does not have a variable

compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education,

qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash

compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other

benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $212,100\u2014$335,600 USD The typical starting salary range for this role in the select locations listed above is: $254,900\u2014$403,200 USD ","enhanced_content":null,"enhanced_requirements":null,"url":"field-operations\/united-states\/sr-director-field-technology-and-ai\/7954418","owner":0,"application":"https:\/\/jobs.elastic.co\/jobs?gh_jid=7954418&gh_jid=7954418","alt_apply":null,"salary":null,"address":"United States","unique_identifier":"7954418","category":"Field Operations","subdivision":"Field Operations","bitly_url":null,"jobvite_id":"elastic","google_id":null,"team_name":"Field Operations","hiring_manager":null,"closed":null,"internal_id":null,"remote_locations":null,"hybrid_locations":null,"

requirements":null,"facility_type":null,"job_code":"R11685","internal_ghapply_id":null,"location_id":null,"template_id":139,"legacy_template_id":"0","synopsys_country":null,"job_type":"Onsite","closingHtml":null,"live":1,"manual":0,"edited":1,"share":0,"locked":1,"favorite":0,"fetch":0,"templatized":true,"published":0,"featured":0,"well_written":0,"map":0,"remote":0,"vid":0,"pcu":0,"linkedin":0,"min_salary":"212100.0","max_salary":"335600.0","evergreen":0,"custom_job_flags":0,"created_at":"2026-05-27T17:10:25.000000Z","custom_status":null,"custom_fields":null,"updated_at":"2026-05-28T07:10:01.000000Z","deleted_at":null,"templating_disabled":false},"content":" Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale \u2014 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 \u2014 securing and protecting private information more effectively \u2014 Elastic\u2019s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is

The Role: As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. You will set the vision for how AI is embedded into the seller and GTM leader experience, while ensuring each team delivers against its own roadmap, outcomes, and success measures in service of broader fiscal-year strategic goals. What You Will Be Doing: Strategy & Leadership Set the Field Technology & AI Vision : Define and own the strategy for how Elastic applies AI across the GTM ecosystem, aligning Engineering, Data Science, Customer Data Strategy, and Application Administration into a unified roadmap that aligns with RevOps and GTM strategic priorities. Lead a Multi-Disciplinary Organization : Build, mentor, and lead an organization across four functional teams, each with their own leaders, roadmaps, and outcomes. Set clear success measures, develop leaders, and create the framework for success. Drive AI Adoption Across GTM : Partner with senior GTM, Sales, Marketing, legal, IT, and Finance leaders to identify the highest-leverage GTM problems AI can solve, and lead those solutions from concept to adoption. Measure & Communicate Impact : Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery. Regularly report progress, trade-offs, and business impact to executive stakeholders. Operate as an Executive Partner : Serve as the senior technology voice within RevOps, translating GTM strategy into a technology agenda, and translating technology capability into GTM opportunity. Execution & Delivery Lead Four Functional Teams : Manage Engineering, Data Science, Customer Data Strategy, and Application Administration through their respective leaders. Set distinct roadmaps, success measures, and operating cadences for each team while ensuring their outputs combine into a single, coherent GTM technology portfolio. Influence Beyond Your Org : Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT. Shape executive-level decisions on GTM priorities, secure cross-functional investment in your roadmap, and resolve trade-offs that span organizational boundaries. Productize AI for GTM : Champion a portfolio of applied AI use cases, including account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics, and drive each from design, prototype, and ultimately to scaled adoption. Govern the Technology Portfolio : Make principled build\/buy\/partner decisions across the GTM tech stack, balancing innovation speed with platform stability, cost, and long-term scalability. Embed AI Responsibly : Establish the principles, guardrails, and review mechanisms that ensure AI is deployed at Elastic in ways that are accurate, explainable, secure, and aligned with company values. What You Bring: Strategic Leadership & GTM Understanding 12+ years of progressive experience in GTM technology, RevOps systems, data\/analytics, or applied AI, including 7+ years in senior leadership roles managing multiple sub-functions and leaders-of-leaders. Proven track record building or transforming a Field\/GTM Technology organization in a global B2B SaaS environment, with measurable impact on pipeline, productivity, or revenue outcomes. Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration, and creating an operating model that aligns them around shared outcomes. Exceptional executive presence and communication skills, with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders, and to translate technical strategy into business outcomes. Track record of building, developing, and retaining strong technical leaders and specialized individual contributors. Technical Expertise & Execution Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, sales engagement, CPQ, and the integration patterns that connect them. Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, dbt, vector databases, LLM orchestration frameworks) and how they combine to deliver applied AI capabilities into operational workflows. Experience operationalizing ML and GenAI use cases inside GTM systems, moving from model output to embedded, adopted, measurable seller and leader experiences. Strong understanding of data governance, MDM, and the data quality foundation required to make AI trustworthy at enterprise scale. Sound judgment on engineering practices, system architecture, vendor selection, and total-cost-of-ownership trade-offs.

Bonus Points: Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches in a GTM or enterprise operations context. Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases. Experience partnering closely with central IT\/Enterprise Data organizations to deliver shared outcomes across organizational seams. Additional Information - We Take Care of Our People: As a distributed company, diversity drives our identity. Whether you\u2019re 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\u2019t matter if you\u2019re just out of college or your children are; we need you for what you can do. We strive to have parity of

benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave 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 [email protected] . We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries\u2019 export controls and licensing

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

Compensation for this role is in the form of base salary. This role does not have a variable

compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education,

qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash

compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other

benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $212,100\u2014$335,600 USD The typical starting salary range for this role in the select locations listed above is: $254,900\u2014$403,200 USD ","url_params":"?gh_jid=7954418","preserved_params":{"gh_jid":"7954418"},"gh_jid":"7954418","templateJobContent":[{"id":33263404,"boilerplate_id":1138,"boilerplate_entry_id":33263404,"title":"Company Description","content":" Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale \u2014 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 \u2014 securing and protecting private information more effectively \u2014 Elastic\u2019s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. ","ai_prompt":"Include all content from sections titled (or containing the following information):\n\n- About Elastic\n- Why Elastic?\n\nParagraphs starting with \"Elastic is a free and open search company...\"","ai_content_default":0,"ordinal":0,"scored":1,"locked":1,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263405,"boilerplate_id":1137,"boilerplate_entry_id":33263405,"title":"What is

The Role:","content":" As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. You will set the vision for how AI is embedded into the seller and GTM leader experience, while ensuring each team delivers against its own roadmap, outcomes, and success measures in service of broader fiscal-year strategic goals. ","ai_prompt":"Include all content from sections titled (or containing the following information):\n\n- Role Overview\n-

About

The Role\n- In your role\n- Any section

about

the role or candidate\n-

About

The Team\n- Why this team?\n- Our Team Style\n- Some of the things you'll work on\n- What You Will Be Learning\n- Information about location or applicant

requirements (e.g., \"Location\", \"Location and Travel\", \"Applicant must be a US citizen\")\n- Descriptions similar to \"We are looking for a dynamic [position name] to join our [team name] team...\", \"The [team name] team sits in [position name]....\", \"We are hunting for a [position name] to...\"","ai_content_default":0,"ordinal":1,"scored":1,"locked":0,"include_title":1,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263406,"boilerplate_id":1144,"boilerplate_entry_id":33263406,"title":"Unmatched Content","content":"","ai_prompt":"","ai_content_default":0,"ordinal":2,"scored":1,"locked":0,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263407,"boilerplate_id":1139,"boilerplate_entry_id":33263407,"title":"What You Will Be Doing:","content":" Strategy & Leadership Set the Field Technology & AI Vision : Define and own the strategy for how Elastic applies AI across the GTM ecosystem, aligning Engineering, Data Science, Customer Data Strategy, and Application Administration into a unified roadmap that aligns with RevOps and GTM strategic priorities. Lead a Multi-Disciplinary Organization : Build, mentor, and lead an organization across four functional teams, each with their own leaders, roadmaps, and outcomes. Set clear success measures, develop leaders, and create the framework for success. Drive AI Adoption Across GTM : Partner with senior GTM, Sales, Marketing, legal, IT, and Finance leaders to identify the highest-leverage GTM problems AI can solve, and lead those solutions from concept to adoption. Measure & Communicate Impact : Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery. Regularly report progress, trade-offs, and business impact to executive stakeholders. Operate as an Executive Partner : Serve as the senior technology voice within RevOps, translating GTM strategy into a technology agenda, and translating technology capability into GTM opportunity. Execution & Delivery Lead Four Functional Teams : Manage Engineering, Data Science, Customer Data Strategy, and Application Administration through their respective leaders. Set distinct roadmaps, success measures, and operating cadences for each team while ensuring their outputs combine into a single, coherent GTM technology portfolio. Influence Beyond Your Org : Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT. Shape executive-level decisions on GTM priorities, secure cross-functional investment in your roadmap, and resolve trade-offs that span organizational boundaries. Productize AI for GTM : Champion a portfolio of applied AI use cases, including account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics, and drive each from design, prototype, and ultimately to scaled adoption. Govern the Technology Portfolio : Make principled build\/buy\/partner decisions across the GTM tech stack, balancing innovation speed with platform stability, cost, and long-term scalability. Embed AI Responsibly : Establish the principles, guardrails, and review mechanisms that ensure AI is deployed at Elastic in ways that are accurate, explainable, secure, and aligned with company values. ","ai_prompt":"Include content from sections titled or containing:\n\n-

Responsibilities\n- Key

Responsibilities\n- Core

Responsibilities\n- Key Functional Areas\n- What You Will Be Doing\n-

What You'll Do\n- You Will\n- In this role, you will\n- Your key tasks will include\n\n*Preserve bullet points and do not use dashes","ai_content_default":0,"ordinal":3,"scored":1,"locked":0,"include_title":1,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263408,"boilerplate_id":1140,"boilerplate_entry_id":33263408,"title":"What You Bring:","content":" Strategic Leadership & GTM Understanding 12+ years of progressive experience in GTM technology, RevOps systems, data\/analytics, or applied AI, including 7+ years in senior leadership roles managing multiple sub-functions and leaders-of-leaders. Proven track record building or transforming a Field\/GTM Technology organization in a global B2B SaaS environment, with measurable impact on pipeline, productivity, or revenue outcomes. Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration, and creating an operating model that aligns them around shared outcomes. Exceptional executive presence and communication skills, with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders, and to translate technical strategy into business outcomes. Track record of building, developing, and retaining strong technical leaders and specialized individual contributors. Technical Expertise & Execution Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, sales engagement, CPQ, and the integration patterns that connect them. Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, dbt, vector databases, LLM orchestration frameworks) and how they combine to deliver applied AI capabilities into operational workflows. Experience operationalizing ML and GenAI use cases inside GTM systems, moving from model output to embedded, adopted, measurable seller and leader experiences. Strong understanding of data governance, MDM, and the data quality foundation required to make AI trustworthy at enterprise scale. Sound judgment on engineering practices, system architecture, vendor selection, and total-cost-of-ownership trade-offs. ","ai_prompt":"Include content from sections titled or containing:\n\n-

Qualifications\n- Required

Qualifications\n- Preferred

Qualifications\n- Skills\n- Capabilities and Experience\n- Sections beginning with \"Experience...\"\n- Sections beginning with \"Knowledge...\"\n- Sections beginning with \"Proficiency and Education...\"\n- Sections beginning with \"Skills...\"\n- What We Are Looking For\n- What You Bring\n- What You'll Need To Be Successful\n\nExclude sections starting with \"If that's you, hopefully you also have\"\n\n- Preserve bullet points and do not use dashes","ai_content_default":0,"ordinal":4,"scored":1,"locked":0,"include_title":1,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263409,"boilerplate_id":1141,"boilerplate_entry_id":33263409,"title":"

Bonus Points:","content":" Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches in a GTM or enterprise operations context. Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases. Experience partnering closely with central IT\/Enterprise Data organizations to deliver shared outcomes across organizational seams. ","ai_prompt":"Include content from sections titled or containing:\n\n-

Bonus Points\n-

Nice to Have\n- Additional or Preferred

Qualifications\n-

Bonus Skills\n- \"If that's you, hopefully you also have...\"\n- \"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! \"\n- 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!\n- Preserve bullet points and do not use dashes","ai_content_default":0,"ordinal":5,"scored":1,"locked":0,"include_title":1,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263410,"boilerplate_id":1142,"boilerplate_entry_id":33263410,"title":"Additional Information - We Take Care of Our People:","content":" As a distributed company, diversity drives our identity. Whether you\u2019re 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\u2019t matter if you\u2019re just out of college or your children are; we need you for what you can do. We strive to have parity of

benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave ","ai_prompt":"Include company

benefits and any other content for sections titled or containing:\n\n- We Take Care of Our People\n- Additional Information","ai_content_default":0,"ordinal":6,"scored":1,"locked":1,"include_title":1,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":true,"matched_ruleset":false,"rulesets":[{"id":63,"boilerplate_id":1142,"ordinal":0,"logic":"AND","content":" As a distributed company, diversity drives our identity. Whether you\u2019re 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\u2019t matter if you\u2019re just out of college or your children are; we need you for what you can do. We strive to have parity of

benefits across regions, and while regulations differ from place to place, we believe taking care of our people is the right thing to do. Competitive pay based on the work you do here and not your previous salary Health coverage for you and your family in many locations Ability to craft your calendar with flexible locations and schedules for many roles Generous number of vacation days each year Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service Up to 40 hours each year to use toward volunteer projects you love Embracing parenthood with a minimum of 16 weeks of parental leave Security & Privacy

Responsibilities: Take ownership of protecting the confidentiality, integrity, and availability of organizational data and systems by following applicable privacy and security policies, standards, and procedures. Ensure that all individual contributions follow Elastic\u2019s Secure Software Development Framework (SSDF). Proactively participate in mandatory role-based training to ensure personal technical execution consistently aligns with the highest standards of data protection, data privacy, and system resilience. ","created_at":"2026-03-31T17:23:37.000000Z","updated_at":"2026-03-31T17:29:24.000000Z","rules":[{"id":70,"ruleset_id":63,"facet":"category","operator":"==","value":"Engineering","created_at":"2026-03-31T17:23:38.000000Z","updated_at":"2026-03-31T17:23:38.000000Z"}]}]},{"id":33263411,"boilerplate_id":1145,"boilerplate_entry_id":33263411,"title":"Diversity Statement","content":" 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 [email protected] . We will reply to your request within 24 business hours of submission. ","ai_prompt":"Include any content pertaining to diversity and support for individuals with disabilities.","ai_content_default":0,"ordinal":7,"scored":1,"locked":1,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263412,"boilerplate_id":1146,"boilerplate_entry_id":33263412,"title":"EEO and Privacy\/Disclosure Statements","content":" Applicants have rights under Federal Employment Laws and can view the following posters linked below: Family and Medical Leave Act (FMLA) Poster Employee Polygraph Protection Act (EPPA) Poster Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries\u2019 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. ","ai_prompt":"Include all compliance and legal disclosure statements.","ai_content_default":0,"ordinal":8,"scored":1,"locked":1,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263413,"boilerplate_id":1143,"boilerplate_entry_id":33263413,"title":"Salary Information","content":"

Compensation for this role is in the form of base salary. This role does not have a variable

compensation component. The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below. These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future. An employee's position within the salary range will be based on several factors including, but not limited to, relevant education,

qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash

compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other

benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $212,100\u2014$335,600 USD The typical starting salary range for this role in the select locations listed above is: $254,900\u2014$403,200 USD ","ai_prompt":"Include any content related to salary, wages, 401k, or payment from sections titled:\n\n- Salary\n- Wages\n- Salary Range\n-

Compensation details\n- 401k details","ai_content_default":0,"ordinal":9,"scored":1,"locked":0,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263414,"boilerplate_id":1152,"boilerplate_entry_id":33263414,"title":"Job Code","content":"","ai_prompt":"Include any codes in the format: #XX-XXX (or similar codes that start with #)","ai_content_default":0,"ordinal":10,"scored":1,"locked":0,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":false,"matched_ruleset":false,"rulesets":[]},{"id":33263415,"boilerplate_id":2265,"boilerplate_entry_id":33263415,"title":"Vacancy Disclosure","content":"","ai_prompt":null,"ai_content_default":0,"ordinal":11,"scored":0,"locked":1,"include_title":0,"exportable":1,"template_id":139,"template_name":"Elastic Default","jid":3763612,"has_rulesets":true,"matched_ruleset":false,"rulesets":[{"id":61,"boilerplate_id":2265,"ordinal":0,"logic":"AND","content":" Vacancy Status: This is a posting for an existing vacancy. We are actively seeking to fill this position with a qualified candidate. ","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z","rules":[{"id":66,"ruleset_id":61,"facet":"country","operator":"==","value":"Canada","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z"},{"id":67,"ruleset_id":61,"facet":"pcu","operator":"==","value":"0","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z"}]},{"id":62,"boilerplate_id":2265,"ordinal":1,"logic":"AND","content":" Vacancy Status: There is currently no existing vacancy for this role. This posting is intended to build a candidate pipeline for potential future opportunities. ","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z","rules":[{"id":68,"ruleset_id":62,"facet":"country","operator":"==","value":"Canada","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z"},{"id":69,"ruleset_id":62,"facet":"pcu","operator":"==","value":"1","created_at":"2026-02-18T15:48:42.000000Z","updated_at":"2026-02-18T15:48:42.000000Z"}]}]}]},"url":"\/jobs\/field-operations\/united-states\/sr-director-field-technology-and-ai\/7954418?gh_jid=7954418","version":"516e77352b3ef969578ad066d7981728"}">

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.