Full-Time
Senior Solutions Architect
Security Specialist
Elastic
5,001-10,000 employees
Cloud-based search and real-time data analytics
Compensation Overview
€105.1k - €166.2k/yr
Germany
Hybrid
 Sales & Solution Engineering |
|---|
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- 5+ years of experience in enterprise PreSales.
- Extensive experience with SIEM platforms and vendor solutions in enterprise environments.
- Deep understanding of AI and its impact on SIEM and Analytics solutions.
- Strong understanding of SOC workflows, processes, and operational challenges.
- Knowledge of a wide range of security solutions, the type of data they produce and build content to satisfy Use Case Requirements.
- Background that includes forensic analysis, troubleshooting, and threat mitigation.
- Experience with Behavioral Analytics, and Machine Learning techniques.
- Ability to work independently and thrive in fast-paced environments.
- Proven success in consultative selling, RFI/RFP responses, and customer presentations.
- Excellent communication and presentation skills, able to engage both technical and non-technical audiences.
- Collaborative spirit and a passion for sharing knowledge and expertise.
- Unwavering commitment to continuous learning and staying ahead of the curve in technology and emerging trends.
- Certifications such as CISSP, CEH, or GIAC are a plus
- Willingness to travel 30-50% of the time
- Architect next-generation security solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, to help improve incident response
- Harness the power of the Elastic Security Solution to enable organizations to achieve their use case requirements and improve overall operational efficiency
- Deliver compelling proof-of-value (POV) projects: Showcase the value of Elastic Security’s detection, AI, and Incident Response capabilities, demonstrating the potential to improve the analyst experience and shorten the time it takes for an analyst to make an informed decision.
- Be a thought leader and evangelize our vision: Share your expertise through presentations, blog posts, and other channels, positioning Elastic as the leader in SIEM and Analytics
- Foster collaboration and knowledge sharing: Cultivate a collaborative environment within the Solutions Architecture team and across departments, promoting knowledge sharing and driving continuous improvement.
- Stay ahead of the curve: Continuously learn and explore the ever-evolving landscapes of SIEM and Analytics and related technologies, ensuring our solutions are always at the forefront of innovation.
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
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See people who can refer or advise you
Simplify's Take
What believers are saying
- July 2026 OpenAI collaboration positions Elastic as enterprise AI retrieval infrastructure.
- July 2026 Deductive AI acquisition deepens observability automation and incident investigation.
- Q4 FY26 revenue reached $451 million, and RPO rose 28%, showing demand strength.
What critics are saying
- FY27 revenue guidance slowed to 14.6% growth, signaling weakening momentum after FY26’s 17%.
- June 2026 layoffs, Ken Exner’s exit, and Pomerantz scrutiny damage execution credibility.
- Microsoft, AWS, Datadog, and Cisco keep squeezing Elastic’s search, observability, and security franchises.
What makes Elastic unique
- Elastic unifies search, observability, security, and vector retrieval across cloud and air-gapped deployments.
- Jina On-Prem runs multimodal models entirely inside customer environments, with zero outbound calls.
- Elastic’s open-source heritage and Elasticsearch brand keep it embedded across developer and enterprise workflows.
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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%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.
Elastic's shares jumped after the company announced Jina On-Prem, allowing businesses to deploy its Jina AI models in secure on-premises and air-gapped environments. The initiative targets organisations in regulated industries that must keep data in-house for security or regulatory compliance. The new offering provides enterprise-grade data extraction and semantic search capabilities without requiring internet connectivity or third-party AI services. By giving companies full control over their data, costs, and performance, Elastic aims to enhance services for clients requiring secure and independent data management systems. Elastic's shares closed at $61.21, up 3.6% from the previous close. The stock remains down 15.6% year-to-date and is trading 35.2% below its 52-week high of $94.47 from November 2024.