Full-Time
Account-Based Marketing Regional Manager
Elastic
5,001-10,000 employees
Cloud-based search and real-time data analytics
Compensation Overview
$106.9k - $169.1k/yr
Remote in USA
Remote
Salary varies by location; select locations with distinct ranges include Seattle WA, Los Angeles CA, SF Bay Area CA, and NYC Metro Area.
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- 5–6 years of experience in business-to-business marketing
- At least 2 years in an account-based marketing or strategic field marketing role
- Experience marketing technical or high-technology products to sophisticated buyers, including information technology, engineering, and security personas
- Strong ability to partner with sales leaders and translate technical value propositions into targeted marketing strategies
- Experience with account-based marketing platforms (e.g., Demandbase, 6sense, Userled), Salesforce, and marketing automation tools like Marketo
- Confident in driving multi-channel campaigns and executive-level engagement programs
- Design and implement one-to-one account-based marketing programs aligned to target accounts and buying groups
- Lead account-level planning sessions with sales teams to define account priorities, business outcomes, and campaign timelines
- Personalize messaging and value propositions around critical use cases — cybersecurity, search, artificial intelligence/machine learning, and observability — across channels to influence enterprise buying committees
- Develop integrated ABM plans using a mix of tactics including content syndication, paid media, executive briefings, virtual roundtables, and direct mail
- Partner closely with global campaigns, regional and partner marketing, and product marketing to align ABM efforts with broader go-to-market plays
- Tailor programs to reflect the technical sophistication of buyers in hi-tech and enterprise environments, ensuring messaging resonates with both technical evaluators and business decision-makers
- Architect and implement end-to-end delivery of ABM campaigns, from strategy and planning through execution, optimization, and measurement
- Build account-focused and event landing pages using our marketing stack, personalized to target audiences and business priorities while maintaining brand guidelines
- Draft account-specific messaging that resonates with CIOs, CISOs, engineering leaders, developers and IT decision-makers, positioning Elastic as a trusted partner in digital transformation
- Develop paid media strategy for assigned accounts, partnering with internal teams and agencies to activate campaigns across platforms such as Demandbase, LinkedIn, and relevant digital channels
- Collaborate with creative, content, and external agencies to deliver high-quality ABM assets and engagement experiences
- Localize and adapt global plays to meet account needs while maintaining message consistency
- Own campaign budgets, timelines, and execution
- Define ABM metrics including account engagement, pipeline influence, velocity improvements, and return on investment
- Provide regular performance reporting to team members and sales leadership
- Use insights to continuously refine ABM programs for greater efficiency and scalability
- Support the evolution of ABM playbooks, strategy, and execution tactics
- Work with Regional Marketing Managers in Americas to coordinate event logistics and experiences for ABM programs, including executive briefings and roundtables
- Maintain up-to-date ABM dashboards, campaign trackers, and internal documentation
- Bring creative ideas to drive engagement and innovation within the enterprise and hi-tech market
- Familiarity with the enterprise technology landscape — including cloud, artificial intelligence/machine learning, cybersecurity, and observability
- ABM knowledge framework certification is a strong plus
Elastic provides a suite of search-powered software offered as SaaS and on-premises, helping organizations search, analyze, and visualize data in real time. Its flagship Elasticsearch ingests data, indexes it with a fast search engine, and delivers real-time search, analytics, and visualization through dashboards, with deployments available on Elastic Cloud or Elastic On-Prem and orchestration for managing multiple deployments. It differentiates itself by offering deployment flexibility and a broad set of use cases—from enterprise search to security analytics—within a single platform with subscription pricing based on data, users, and support. The goal is to help customers manage large data volumes to improve decision-making, operational efficiency, and security.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Mountain View, California
Founded
2012
Get referred to Elastic
See people who can refer or advise you
Simplify's Take
What believers are saying
- Fiscal 2026 revenue hit $1.739 billion, up 17%, with $346 million adjusted free cash flow.
- Elastic added Deductive AI on July 22, 2026 to accelerate AI incident investigation.
- FedRAMP High Elastic Cloud and Jina On-Prem strengthen federal and regulated-industry sales.
What critics are saying
- Elastic disclosed a 7% workforce reduction on June 23, 2026, signaling restructuring pressure.
- In re Elastic N.V. securities litigation remains pending after the February 11, 2025 complaint.
- Deductive AI integration and Ken Exner’s July 17, 2026 exit raise execution risk in observability.
What makes Elastic unique
- Elastic’s Search AI Platform unifies search, observability, and security in one stack.
- Jina On-Prem on July 27, 2026 delivers air-gapped multimodal search without external calls.
- OpenAI collaboration on July 30, 2026 embeds governed enterprise retrieval into production AI agents.
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Benefits
Fully paid health coverage for you and your family
Flexible location and schedule for most roles.
Generous number of vacation days each year
20+ additional shut it down days
Minimum of 16 weeks of parental leave, plus generous family formation benefits.
40 hours each year to use toward volunteering
Double your charitable giving
Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↑ 1%2 year growth
↑ 1%Press release: Casepoint selected by Elastic to modernize eDiscovery and legal hold. Casepoint has been selected by Elastic to provide enterprise eDiscovery and legal hold capabilities as the next step in its legal operations modernization, selecting the Casepoint platform for its technology fit and partnership approach. Date Published August 11, 2026 Reading Time WASHINGTON, August 11, 2026 - Casepoint, a leader in AI-powered legal, investigative, regulatory, compliance, and data discovery solutions for government agencies and enterprises, today announced that Elastic has standardized eDiscovery and legal hold on the Casepoint platform. The decision reflects Elastic's focus on operational maturity, risk reduction, and pragmatic technology adoption as the company scales, with Casepoint already helping the legal team reduce outside costs and find new ways to use legal data. Elastic selected Casepoint following a competitive RFP process that evaluated vendors against defined functional and technical requirements. Key requirements included strong support for Google Workspace and Slack, practical legal hold workflows, and a platform suited to the needs of a corporate legal department. After a rigorous evaluation, Elastic ultimately selected Casepoint for its ability to meet all of their requirements while simplifying complex workflows, as well as for Casepoint's partnership-driven approach. "Elastic's legal team is focused on building processes that match the needs of a growing, data-driven technology company," said Jen Lenander, Sr. Director & Chief of Staff at Elastic. "Casepoint stood out because it gave us the capabilities we needed to scale and handle more eDiscovery work directly, strengthen legal hold, and manage legal data more efficiently." Casepoint's partnership approach was also an important factor in Elastic's selection and implementation. The Casepoint team provided onboarding, training, technical setup, and business-case development, helping Elastic quickly apply the platform to both standard eDiscovery workflows and more creative legal operations use cases. "Technology fit was only part of the decision," said Lenander. "We also needed a partner that understood our goals, responded quickly, and helped us think through practical ways to use the platform. Casepoint has supported that approach from implementation through ongoing use." Beyond its original eDiscovery and legal hold needs, Elastic has already identified additional ways to use Casepoint to reduce outside costs and support internal analysis. In one DSAR-related matter, the platform helped Elastic export data in a usable format for work with a third-party provider, avoiding significantly higher third-party processing costs. Elastic also used Casepoint to convert contract-alias email data into a format that could be analyzed with an AI research tool, helping the legal team surface insights into contracting workflows without a separate consulting engagement. "Elastic approached this the right way, with a clear sense of what its legal team needed and a disciplined, unbiased evaluation process," said Pete Feinberg, Chief Product Officer at Casepoint. "That matters because more corporate legal teams are taking greater ownership of critical legal workflows, and they need technology that fits how they want to operate for peak efficiency." With Casepoint, Elastic now has a more controlled way to manage legal data, collaborate with internal and external teams, reduce outside costs, and support legal work across a modern technology environment. About Casepoint. Casepoint empowers government agencies and regulated enterprises to discover, secure, and act across their most critical legal, regulatory, and compliance workflows. Casepoint brings together 30+ years of deep government expertise with a decade of cloud-native eDiscovery innovation, serving 275+ federal civilian and defense agencies and enterprises - including the U.S. Department of War - and unifying legal hold, eDiscovery, investigations, FOIA, regulatory, and compliance workflows in one secure platform. Built on a cloud-native foundation with FedRAMP(R) High and DOD Impact Level 5 and 6 authorizations, Casepoint is an AI-forward platform that leverages assistive, predictive, and agentic AI, along with an open MCP for "bring your own agent" support. Every AI-driven decision is transparent and auditable, with human-in-the-loop governance built in. Backed by a white-glove, partnership-oriented approach to every customer relationship, Casepoint helps teams move faster, reduce risk, and maintain control under constant scrutiny. For more information, visit www.casepoint.com. Media Contact Carolyn Depko Plat4orm PR Media Relations Manager [email protected] 908-565-3709
INNOVIM joins the Elastic partner program to accelerate mission-driven data and AI for federal agencies. Silver Spring, MD - INNOVIM is proud to announce that it has become an official partner of Elastic, the Search AI company behind Elasticsearch and the Elastic Search AI Platform. The partnership brings together INNOVIM's two decades of federal mission experience with Elastic's industry-leading capabilities in search, observability, and security, expanding how its customers turn vast, complex datasets into timely, trusted decisions. For more than 20 years, INNOVIM has helped agencies including NASA, NOAA, and the Department of Defense harness data to advance science, strengthen national security, and improve environmental understanding. As the volume and velocity of mission data continue to grow, so does the need for platforms that can ingest, normalize, and operationalize that data at scale. Its partnership with Elastic directly answers that need. A platform built for mission-scale data. Elastic's Search AI Platform unifies three capabilities that map closely to the challenges its customers face every day. Its search foundation lets agencies unify fragmented data across legacy and modern systems without disruption, making information instantly findable and usable. Its observability capabilities consolidate logs, metrics, and traces into real-time visibility, helping teams detect anomalies and reduce mean time to resolution for the systems that missions depend on. And its security capabilities deliver AI-powered SIEM and endpoint detection, enabling the kind of proactive, automated threat response that defense and satellite operations require. Critically for the public sector, Elastic Cloud Hosted holds FedRAMP High and Moderate authorizations on AWS GovCloud, meeting the rigorous security standards required for sensitive U.S. government workloads. That authorization means INNOVIM can bring these capabilities to its customers with the compliance assurances their missions demand. Extending its data and AI advantage. Data analytics and science-based technology have always been at the core of INNOVIM's work. Elastic strengthens that foundation with a modern vector database and generative AI tooling that allow agencies to securely apply large language models to their own proprietary data, producing mission-specific insights while keeping sensitive information protected. For its customers, that translates into faster knowledge retrieval, sharper anomaly detection, and AI that is grounded in their data rather than generic models. By combining Elastic's Search AI Platform with INNOVIM's deep understanding of Earth science, weather and climate systems, satellite operations, and defense missions, Innovim can help agencies move from raw data to actionable intelligence more quickly and more securely than ever before. A milestone in INNOVIM's growth. Becoming an Elastic partner marks another step in INNOVIM's continued growth as a trusted federal technology provider. As a Woman-Owned Small Business recognized on the Inc. 5000 and the Washington Technology Fast 50, and honored as NASA Small Business Subcontractor of the Year and a NOAA Outstanding Small Business, INNOVIM continues to expand the ecosystem of best-in-class technologies Innovim bring to its customers. This partnership reflects its commitment to pairing flawless execution with the most capable tools available. "Our customers' missions depend on turning enormous, complex datasets into decisions they can trust. Partnering with Elastic lets us bring a proven, FedRAMP-authorized Search AI platform to that work, combining Elastic's technology with the mission expertise INNOVIM has built over twenty years. Together, we can help federal agencies search, secure, and understand their data faster than ever." - Dr. Shahin Samadi, Chief Innovation Officer, INNOVIM Looking ahead. INNOVIM and Elastic share a simple conviction: the answers agencies need are already in their data. Through this partnership, Innovim look forward to helping its customers find those answers faster, advancing science, strengthening security, and delivering the mission-critical insight that INNOVIM has been known for since 2003.
Atlassian cites Q4 Teamwork Graph, context boom. Published August 6, 2026 Atlassian reported strong fiscal fourth quarter results with revenue growth of 28% and cloud revenue growth of 31%. The company delivered fourth quarter earnings of $139 million, or 55 cents a share, on revenue of $1.766 billion. Non-GAAP earnings were $1.87 a share. Wall Street was looking for Atlassian to report non-GAAP earnings of $1.50 a share on revenue of $1.65 billion. CEO Mike Cannon-Brookes said Atlassian's MCP server and Teamwork Graph CLI topped 1 million monthly active users, more than doubling from the third quarter. Cannon-Brookes said customers were leveraging Atlassian's platform to deliver context to AI. "In the AI era, context is the edge but it's hard to build and can't be hired," he said. Cannon-Brookes said in a shareholder letter that the company's Teamwork Graph is its most underappreciated asset. He said: "In an enterprise, the hardest problems are often coordination problems - weeks lost waiting for a decision, a handoff, or a dependency to clear. While most of the market focuses on helping individuals move faster, its platform is built around how human and human/AI teams move better, together. And as Constellation Research Inc. move into a world of greater human/AI collaboration where agents take on more execution, the challenge shifts from doing the work to orchestrating it. This is where Atlassian has always played, and where its advantage is compounding. The world runs on teams. Teams run on context. Constellation Research Inc. connect the two." Atlassian's platform is being used to deliver more accurate results with AI. During the quarter, Atlassian launched new agentic development tools in Jira as well as AI governance controls. The Teamwork Graph has more than 200 billion objects and connections across customers and Atlassian said agents grounded in the context graph consume 48% fewer tokens. For 2026, Atlassian reported a net loss of $54 million, or 21 cents a share, on revenue of $6.57 billion, up 26% from the prior year. Other key items: * Atlassian named Ken Exner its new chief product officer for its enterprise and emerging units with a focus on service, strategy, product, software and security and compliance. Exner joins from Elastic and was among AWS' early employees. * Cannon-Brookes said he will make open market purchases up to $250 million in Atlassian shares. As for the outlook, Atlassian projected first quarter revenue to be between $1.705 billion and $1.715 billion with cloud revenue growth of 28.5%. For fiscal 2027, Atlassian is projecting revenue growth of 13%, subscription ARR growth of 18% and cloud revenue growth of about 25.5%. Editor in Chief of Constellation Insights Constellation Research Larry Dignan is Editor in Chief of Constellation Insights at Constellation Research, where he leads editorial coverage focused on enterprise technology, digital transformation, and emerging trends shaping the future of business. He oversees research-driven news, analysis, interviews, and event coverage designed to help technology buyers and vendors navigate complex markets with clarity and context... Results. Insights News August 6, 2026 Next-Generation Customer Experience Five9 reported better-than-expected second quarter results and said its Google Cloud partnership and AI Voice Agents are gaining traction. Five9 also raised its outlook for the thi... Larry Dignan Insights News August 6, 2026 Future of Work HubSpot cut its third quarter outlook as a pivot to outcome-based pricing and budget concerns have crimped expected demand. CEO Yamini Rangan, however, said outcome-based pricing i... Larry Dignan Insights News August 5, 2026 Next-Generation Customer Experience Uber's second quarter results and outlook were mixed, but the company did flesh out its AI use cases and added that it has its token spending under control... Larry Dignan Insights News August 5, 2026 Data to Decisions Altimetrik CEO Raj Sundaresan said enterprises need to avoid AI quot;optimizations traps,quot; trendy approaches that don't age well if you don't put architecture first... Larry Dignan Insights News August 5, 2026 Digital Safety, Privacy & Cybersecurity UK's AI Security Institute found Anthropic's Mythos 5 and OpenAI's GPT-5.6 Sol launched autonomous and unsanctioned attacks against real people and organizations 19 times. Mythos 5... Larry Dignan Insights News August 4, 2026 Data to Decisions SpaceX's second quarter featured better-than-expected results and CEO Elon Musk's big theme was that rocket science applies to multiple markets including AI. Here's a look at a few... Larry Dignan Published. August 6, 2026 Insights News August 6, 2026 Data to Decisions Atlassian reported strong fiscal fourth quarter results with revenue growth of 28% and cloud revenue growth of 31%... Larry Dignan Insights News August 6, 2026 Next-Generation Customer Experience Five9 reported better-than-expected second quarter results and said its Google Cloud partnership and AI Voice Agents are gaining traction. Five9 also raised its outlook for the thi... Larry Dignan Insights News August 6, 2026 Future of Work HubSpot cut its third quarter outlook as a pivot to outcome-based pricing and budget concerns have crimped expected demand. CEO Yamini Rangan, however, said outcome-based pricing i... Larry Dignan
Elastic and OpenAI collaborate to bring frontier intelligence to unstructured enterprise data. Collaboration combines OpenAI's advanced reasoning models with governed enterprise context in Elasticsearch across AI applications, security operations, and observability. Elastic today announced an expanded collaboration with OpenAI to help organizations build production-ready AI applications and agents using OpenAI models with Elasticsearch. By combining Elasticsearch's retrieval, search and governance capabilities with OpenAI's advanced reasoning models, organizations can ground AI in their own enterprise data to enable more accurate, secure and reliable AI at scale. AI agents are only as useful as the enterprise context they can access. Yet most of that information remains out of reach. According to Gartner(R), "unstructured data, such as documents and multimedia files, accounts for 70% to 90% of organizational data."1 That context is spread across documents, tickets, logs, metrics, traces, and security alerts, changes continuously, and is governed by different permissions. Without access to the right enterprise context, even advanced AI models struggle to deliver accurate, reliable results. Elasticsearch provides the retrieval layer, combining lexical and vector search, semantic reranking, filtering, and access controls in a single platform. It helps agents find relevant, real-time context with the right permissions, reducing unnecessary data sent to the model and improving retrieval quality, all with lower token costs. Together with OpenAI models, developers can build reliable, cost-efficient AI agents for critical enterprise workflows. "The success of enterprise AI depends on connecting powerful models with the knowledge businesses already possess," said Greg Tademoto, global vice president, Business Development & Strategic AI Partnerships at Elastic. "Much of that knowledge is buried in unstructured data. By combining OpenAI's advanced reasoning with Elasticsearch's retrieval and governance capabilities, we're helping enterprises build AI agents that are accurate, secure and useful in production." "Great AI needs great context. We're excited to collaborate with Elastic to bring OpenAI's models closer to the data businesses rely on - helping them build AI agents that are more accurate, more secure, and ready to deliver real-world results," said Colleen Kapase, vice president, Strategic Global Partnerships & Ecosystems at OpenAI. Elastic and OpenAI will focus on delivering three customer outcomes: * Context-aware AI agents that retrieve accurate, permission-aware enterprise knowledge at scale, while improving agent efficiency. * Agentic observability that correlates telemetry and accelerates root cause investigation for SRE teams. * Agentic security operations that turn high volumes of alerts into evidence-backed investigations for analyst review and action. Elastic has supported OpenAI models through AI Assistants and connectors since 2023. This collaboration expands that foundation through deeper product integration and joint work to help customers build enterprise AI applications grounded in governed data. The companies plan to deepen their collaboration further across enterprise AI, security and observability. Through the OpenAI Daybreak Cyber Partner Program, Elastic plans to integrate OpenAI's GPT-5.5 Cyber specific models into Elastic Security agentic workflows and extend governance to the OpenAI platform, enabling detection of anomalous OpenAI activity alongside endpoint and network threats. For developers using OpenAI Codex, Elastic will develop integration points that provide governed, real-time access to their unstructured enterprise data.
Elastic and OpenAI to bring frontier intelligence to unstructured enterprise data. Elastic has announced an expanded collaboration with OpenAI to help organizations build production-ready AI applications and agents using OpenAI models with Elasticsearch. By combining Elasticsearch's retrieval, search and governance capabilities with OpenAI's advanced reasoning models, organizations can ground AI in their own enterprise data to enable more accurate, secure and reliable AI at scale. AI agents are only as useful as the enterprise context they can access. Yet most of that information remains out of reach. According to Gartner(R), "unstructured data, such as documents and multimedia files, accounts for 70% to 90% of organizational data."1 That context is spread across documents, tickets, logs, metrics, traces, and security alerts, changes continuously, and is governed by different permissions. Without access to the right enterprise context, even advanced AI models struggle to deliver accurate, reliable results. Elasticsearch provides the retrieval layer, combining lexical and vector search, semantic reranking, filtering, and access controls in a single platform. It helps agents find relevant, real-time context with the right permissions, reducing unnecessary data sent to the model and improving retrieval quality, all with lower token costs. Together with OpenAI models, developers can build reliable, cost-efficient AI agents for critical enterprise workflows. "The success of enterprise AI depends on connecting powerful models with the knowledge businesses already possess," said Greg Tademoto, global vice president, Business Development & Strategic AI Partnerships at Elastic. "Much of that knowledge is buried in unstructured data. By combining OpenAI's advanced reasoning with Elasticsearch's retrieval and governance capabilities, we're helping enterprises build AI agents that are accurate, secure and useful in production." "Great AI needs great context. We're excited to collaborate with Elastic to bring OpenAI's models closer to the data businesses rely on - helping them build AI agents that are more accurate, more secure, and ready to deliver real-world results," said Colleen Kapase, vice president, Strategic Global Partnerships & Ecosystems at OpenAI. Elastic and OpenAI will focus on delivering three customer outcomes: · Context-aware AI agents that retrieve accurate, permission-aware enterprise knowledge at scale, while improving agent efficiency. · Agentic observability that correlates telemetry and accelerates root cause investigation for SRE teams. · Agentic security operations that turn high volumes of alerts into evidence-backed investigations for analyst review and action. Elastic has supported OpenAI models through AI Assistants and connectors since 2023. This collaboration expands that foundation through deeper product integration and joint work to help customers build enterprise AI applications grounded in governed data. The companies plan to deepen their collaboration further across enterprise AI, security and observability. Through the OpenAI Daybreak Cyber Partner Program, Elastic plans to integrate OpenAI's GPT-5.5 Cyber specific models into Elastic Security agentic workflows and extend governance to the OpenAI platform, enabling detection of anomalous OpenAI activity alongside endpoint and network threats. For developers using OpenAI Codex, Elastic will develop integration points that provide governed, real-time access to their unstructured enterprise data.