Full-Time
Account Executive
MSSP
Elastic
5,001-10,000 employees
Cloud-based search and real-time data analytics
No salary listed
Remote in UK
Remote
 Sales & Account Management (2) |
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- Proven MSSP/MSP sales track record: 5+ years of quota-carrying experience with managed service or managed security providers, consistently overachieving in a consumption or recurring revenue model.
- Hunter mentality: Demonstrated ability to identify and land net-new partner relationships from a target list—you generate your own pipeline and thrive in a high-growth environment.
- Expert discovery & qualification: Applies MEDDPICC or equivalent frameworks to drive disciplined pipeline management and eliminate low-probability deals early.
- Security domain fluency: Working knowledge of the MSSP landscape, SIEM/XDR market dynamics, and the business model pressures facing Tier 2/3 security providers in UKI.
- Technical & commercial literacy: Comfortable discussing cloud economics, resource-based pricing, multitenancy architectures, and how AI-driven triage translates to MSSP margin improvement.
- Negotiation & closing capability: History of landing multi-year, high-ACV partner agreements while protecting margin and securing CxO buy-in.
- Collaborative & coachable: Partners effectively with internal teams and embodies Elastic’s values of community, openness, and distributed innovation.
- Recruit & develop new MSSP partners: Identify and engage target MSSPs and security-focused MSPs across UKI, leading the conversation from prospecting through programme enrolment and first revenue.
- Grow existing MSSP relationships: Own a portfolio of established partners; build joint business plans, define security service roadmaps, and expand Elastic’s footprint across their customer base.
- Build & forecast an accurate pipeline: Manage a healthy pipeline of ‘to’ and ‘through’ partner opportunities, maintaining ≥90% forecast accuracy and CRM hygiene throughout.
- Tell the Elastic value story: Deliver tailored narratives connecting Elastic Security’s platform—Attack Discovery, AI Assistant, Workflows, Agent Builder, resource-based pricing—to the commercial outcomes MSSPs care about: margin, scalability, and differentiation.
- Shape the partner’s security roadmap: Collaborate with partner product and operations teams to build a capability roadmap on Elastic, enabling scalable managed security service delivery across cloud, on-premise, or hybrid.
- Enable partner sales & technical teams: Train MSSP teams on Elastic’s proposition and co-create joint go-to-market plans aligned to the Elastic Partner Programme.
- Convert MSPs to recurring security revenue: Guide traditional MSPs and VAR partners from transactional resale into profitable, recurring managed security services built on Elastic.
- Experience at an open-source, developer-centric, or Search AI infrastructure company.
- Familiarity with SIEM/XDR/EDR use cases in an MSSP delivery context, or experience displacing legacy SIEM vendors (Splunk, QRadar, Sentinel).
- An existing network of MSSP or SOC-as-a-service relationships across UKI.
- Genuine appreciation for open-source communities and the Elastic model.
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
Simplify's Take
What believers are saying
- Over 600 customers now use Elastic AI capabilities, supporting AI-led upsell.[1]
- Fiscal 2026 revenue grew 17%, with 16% Q4 growth and stronger visibility.[1]
- Partnerships with Atos, Google Cloud, and Weikeng expand regulated-industry distribution.[1]
What critics are saying
- OpenSearch remains a direct substitute, pressuring Elastic's search pricing power.[1]
- AI monetization depends on sustained customer adoption beyond current 600-plus users.[1]
- Channel partners can commoditize Elastic as infrastructure, weakening direct customer control.[1]
What makes Elastic unique
- Elastic combines search, observability, and security on one Search AI platform.[1][4]
- Elasticsearch, Kibana, Beats, and Logstash anchor its open-source Elastic Stack.[1][4]
- Elastic Cloud and Search AI features position it for real-time enterprise data use.[1][5]
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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
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↑ 0%Delivering ElasticON Sydney: scaling a global tech event experience in ANZ. Overview. Best Case Scenario (BCS) partnered with Elastic to deliver the "Week of Wonder," a multi-day engagement program combining thought leadership, hands-on innovation, and executive connection. At its core was ElasticON Sydney, the flagship conference that brought together developers, engineers, customers, and partners to explore the power of Elastic's unified AI platform across search, observability, and security. The program required seamless execution across multiple formats, audiences, and environments, while maintaining the global standards expected of the Elastic brand. Best Case Scenario delivered exceptional execution across its entire Week of Wonder programme, from intimate executive forums to its flagship ElasticON Sydney conference. Their deep understanding of technical audiences, combined with flawless production capabilities, helped Best Case Scenario achieve a 68% attendance rate and engage senior decision-makers from ASX, Westpac, Woolworths, and Google. BCS seamlessly managed complex multi-format delivery whilst maintaining its global brand standards. They're the strategic event partner every technology company needs, proactive, precise, and genuinely committed to delivering outstanding outcomes. The challenge. ElasticON is a globally recognised conference series, designed to connect and inspire the Elastic community through deep technical content across all three pillars and peer engagement. For the ANZ edition, Elastic required a delivery partner who could not only execute the conference, but extend its impact beyond a single day, a partner that could: * Deliver a premium conference experience aligned with global ElasticON standards * Manage complex event logistics and technical production * Ensure strong attendee engagement for a highly technical audience * Curate interactive breakout environments, integrating sponsor showcases, live demos, and peer-to-peer engagement * Coordinate speaker management, staging, and content delivery * Extend the flagship event into a multi-day programme to maximise impact * Provide a seamless experience for customers, partners, and developers The solution. BCS worked closely with Elastic's regional and global teams to deliver a fully integrated event execution model, supporting both strategic planning and onsite delivery. ElasticON Sydney: The Main Event Thursday 5 March 2026 The flagship conference brought together the Australian Elastic community for a full day of content, connection, and celebration: * Keynote and Plenary: Global and regional leaders on stage, including Ken Exner (Global Chief Product Officer) * Three Breakout Streams: Deep-dive sessions across Search AI, Observability, and Security * Networking Drinks: Community connection time * Partner Awards Dinner: Evening celebration recognising partner excellence Key deliverables: Event Design & Planning * Venue sourcing and event layout planning * Audience flow design for sessions and networking * Coordination with global ElasticON branding and content frameworks Speaker & Content Management * Speaker briefing packs with technical session requirements * Run sheet coordination and stage management * Seamless delivery of keynote, plenary, and breakout sessions Technical Production * Full audiovisual production including staging, lighting, and presentation support * Technical integration for demos and live presentations * High-quality environment for a developer-focused audience Attendee Experience * Onsite registration and event logistics management * Networking areas and community engagement spaces * Smooth flow between keynotes, breakout sessions, and sponsor interactions "A Week of Wonder": extending the impact. To maximise the value of ElasticON Sydney, Elastic expanded the programme into a multi-day experience. BCS supported delivery across the full week: | Day | Event | BCS Role | | Monday 2 March | Hackathon with HackDays Australia (AWS-sponsored) | Supplier introduction and coordination with Vivify Labs | | Tuesday 3 March | Decision Maker Lunch / Elastic Intelligence Forum featuring Tracey Spicer AM | Full event delivery | | Thursday 5 March | ElasticON Sydney (Keynote, Plenary, Breakouts, Drinks) Partner Awards Dinner | Full event delivery | (Note: Three technical workshops on Tuesday were delivered separately by Elastic.) Programme highlights. Tracey Spicer at the Decision Maker Lunch Award-winning journalist and advocate Tracey Spicer joined the Elastic Intelligence Forum, bringing her perspective on technology, leadership, and change to an executive audience of senior technology decision-makers. Forge the Future Hackathon BCS facilitated the supplier introduction and coordination for the AWS-sponsored hackathon, delivered in partnership with Vivify Labs. The tech-for-good event brought together developers to build solutions addressing real community challenges. The outcome. ElasticON Sydney and the surrounding "Week of Wonder" programme delivered a high-impact experience for the ANZ Elastic community, reinforcing Elastic's leadership as a unified AI platform for search, observability, and security. Key outcomes included: * 68% attendance rate for ElasticON Sydney, exceptional for a free event * Enterprise-grade audience: Senior technology leaders from ASX, Westpac, Woolworths, Google, nbn, Optus, Deloitte, EY, IAG, and Tata Consultancy Services * C-suite and decision-maker attendance: CEOs, CIOs, Partners, Global Cybersecurity Leaders, and Heads of Digital Experience * Multi-format delivery: Hackathon, executive forum with Tracey Spicer, main conference, and awards dinner executed seamlessly * Platinum sponsor activations for AWS and Microsoft * Positive feedback from both the Elastic team and attendees Client impact. By partnering with BCS, Elastic was able to deliver a world-class event experience in the ANZ region, strengthening its community and creating meaningful engagement with customers and partners. The programme demonstrated how careful event strategy, strong production capability, and technical event expertise can translate complex technology messaging into an engaging live experience, extended across a full week of connected moments designed to inspire and activate the Elastic community.
Elastic adds Native Prometheus and PromQL support to elastic observability. April 23, 2026 Unify Prometheus metrics with logs and traces, without rewriting queries or rebuilding pipelines SAN FRANCISCO-(BUSINESS WIRE)- Elastic (NYSE: ESTC), the Search AI Company, today announced native Prometheus support, including direct ingestion via Remote Write and full PromQL support in Kibana. These additions enable Site Reliability Engineers (SREs) to analyze Prometheus metrics alongside logs and traces in a single platform, without rewriting queries or rebuilding pipelines. As organizations scale Kubernetes, Prometheus telemetry cardinality and volumes surge, forcing SREs to juggle multiple tools, duplicate data pipelines, and rewrite queries across systems. This fragmentation slows incident response and drives up operational costs. With native Prometheus support, Elastic eliminates these fragmentation trade-offs by allowing teams to ingest, store, and analyze native Prometheus data alongside other telemetry data, while preserving existing Prometheus workflows. Instead of stitching together tools, SREs can detect, investigate, and resolve incidents end-to-end across AI and cloud-native environments faster and with less operational overhead. "Modern incident response is slowed down by tool sprawl and disconnected data, and SREs shouldn't have to pivot between tools or rewrite queries just to understand what's happening in production," said Bahaaldine Azarmi, general manager, Observability at Elastic. "With native Prometheus ingestion and PromQL in Kibana, teams get a single platform that dramatically reduces time to root cause." Native Prometheus Ingestion - No Translation Required (tech preview) Elastic now ingests Prometheus metrics directly via Remote Write, eliminating the need for adapters, schema, or format translations. SREs can stream Prometheus metrics straight into Elasticsearch while maintaining their original structure and semantics. The result is a single source of truth for observability, without forcing teams to abandon Prometheus. This approach: * Removes duplicate storage and pipeline complexity * Preserves full metric fidelity and high-cardinality data * Enables unified analysis across metrics, logs, and traces Run PromQL Directly in Kibana (tech preview) With native PromQL support in Kibana, users can run existing PromQL queries in dashboards and alerts without modification, lowering the barrier to adoption for teams already using Prometheus. This eliminates query rewrites, one of the biggest adoption barriers in observability platforms. SREs can keep the PromQL they've already built, including dashboards, alerts, and workflows, alongside logs and traces in the same environment, while gaining a path from alert to root cause without manual pivoting, enabling deeper, cross-signal analysis during incidents. Availability Native Prometheus ingestion and PromQL support in Kibana are available in technical preview. Additional Materials Read these blogs for more information. About Elastic Elastic (NYSE: ESTC), the Search AI Company, integrates its deep expertise in search technology with artificial intelligence to help everyone transform all of their data into answers, actions, and outcomes. Elastic's Search AI Platform - the foundation for its search, observability, and security solutions - is used by thousands of companies, including more than 50% of the Fortune 500. Learn more at elastic.co. Elastic and associated marks are trademarks or registered trademarks of elasticsearch B.V. and its subsidiaries. All other company and product names may be trademarks of their respective owners.
Elastic announced its Elastic Cloud Hosted on AWS GovCloud achieved FedRAMP High authorisation in late March 2026, enabling US federal agencies to use its platform for sensitive workloads including cyber defence, Zero Trust initiatives and AI-powered applications. The certification expands Elastic's access to mission-critical federal projects. The authorisation reinforces Elastic's position in secure, AI-powered workloads amid investor concerns about competition from autonomous AI offerings. However, questions remain about whether Elastic can convert the higher security clearance into recurring federal deployments whilst facing intensifying cloud competition. Elastic's narrative projects $2.3 billion revenue and $50.5 million earnings by 2028, requiring 13.9% yearly revenue growth. The most optimistic analysts forecast approximately $2.5 billion revenue and $569 million earnings by 2029.
Connecting a self-managed Elasticsearch cluster with AutoOps. * Written By: Team Qavi Tech * Published: April 3, 2026 * Read Time: 11-15 Min Table of contents. Introduction. Managing Elasticsearch clusters can be complex at times. As clusters grow, teams often spend significant time troubleshooting performance issues and monitoring cluster health. Elastic introduced AutoOps to simplify these operational challenges. AutoOps automatically analyzes cluster metrics and provides actionable recommendations, reducing the need for manual intervention AutoOps in Elastic. AutoOps is an operational monitoring and diagnostic feature that helps you understand what is happening inside your Elasticsearch cluster. AutoOps evaluates cluster metrics and provides insights in several key areas like: Root cause analysis: Instead of only showing metrics, AutoOps identifies the actual cause of a problem. This saves engineers from manually correlating multiple metrics and logs. Performance recommendations: AutoOps provides clear suggestions for resolving issues, such as: * Fixing shard imbalances * Optimizing mappings * Improving indexing pipelines * Adjusting cluster settings These recommendations are practical and easy to implement. Configuration issues: Flags settings that may affect performance Reduced Operational Overhead: Because analysis is handled in Elastic Cloud, AutoOps eliminates the need for additional monitoring infrastructure. Engineers can focus on resolving issues instead of building dashboards or maintaining monitoring tools. Resource utilization problems: Highlights bottlenecks in memory, CPU and disk usage. This helps teams detect issues proactively before they impact cluster performance or availability. How to setup AutoOps in your self managed environment. Here's how you connect a self-managed Elasticsearch cluster to Elastic AutoOps quickly. The following section provides details on how to set up Elastic AutoOps in your local environment: First, go to Elastic Cloud and log in to your account. If you don't have one, you can create it for free at cloud.elastic.co. * Once logged in, go to the cloud management page * Navigate to Connected Clusters. * Notice that it says "Just want AutoOps?" click on "Get started" 2. Choose how to run the agent. Decide where you want to run the connection agent. You can choose from Kubernetes, Elastic Cloud on Kubernetes (ECK), Docker, or Linux. I have a windows system, so I chose Docker. 3. Enter your cluster's URL. In the setup wizard, type the web address (URL) of your self-managed Elasticsearch cluster, I chose http://host.docker.internal:9200 since I chose Docker for deployment of the AutoOps agent, you can add the URL of your deployment (Kubernetes, Elastic Cloud on Kubernetes (ECK), Docker, or Linux) and choose the authentication method, whether you want to use your self managed cluster's API or username and password. I chose API key for authentication, keep in mind to add it to the compose.yaml 4. Run the install command. The wizard gives you a simple install command. Copy and run it where your cluster can reach it. This installs a lightweight agent that sends metrics (not data) to AutoOps. 5. Create the Docker compose file. Copy the command from the wizard to a file, and save that file where you have saved your ELK cluster. Add your self managed Elasticsearch API key in AUTOOPS_ES_API_KEY After these steps, click on "I have run the command" And it will wait for metrics to be collected and your cluster will be connected. AutoOps will start showing insights in a few minutes. NOTE: No events are visible since this is a fresh cluster An Elastic Stack with daily alerts and automated reporting provides not only a more elaborate and visually intuitive dashboard, but also enables a deeper and more comprehensive root cause analysis. By consistently aggregating and analyzing data, it allows teams to identify patterns, detect anomalies, and correlate events across multiple sources with greater accuracy. This level of observability ensures faster troubleshooting, improved decision-making, and a clearer understanding of system behavior over time, as illustrated in the example shown below. Conclusion. Connecting your self-managed Elasticsearch cluster to AutoOps gives users clear visibility into cluster performance without the need to manually analyze logs or metrics. It automatically monitors health, resource usage, query performance, and shard distribution, while providing recommendations to fix issues quickly. For Elastic users, this means faster troubleshooting and less time spent guessing what's wrong. By relying on AutoOps, teams can focus more on building applications and less on maintaining infrastructure, making Elasticsearch cluster management simpler and more efficient for everyone. Team Qavi Tech More blogs. Discover the latest insights and trends in technology with the Qavi Tech Blog. Stay updated with expert articles, industry news, and innovative ideas.
Elastic has fallen 43.2% over the past six months to trade at $49.79 per share, prompting questions about whether the stock presents a buying opportunity. However, several metrics suggest caution. The company's billings grew at an average of 12.5% year-on-year over the last four quarters, indicating challenges in customer acquisition and retention. Wall Street analysts project revenue growth of 13.6% over the next 12 months, a deceleration from its 24.8% annualised growth over the past five years. On a positive note, Elastic's operating margin improved by 4.5 percentage points over the last two years, though it remains negative at -1.7% for the trailing 12 months. The stock currently trades at 2.8× forward price-to-sales. Despite the reasonable valuation, analysts suggest better opportunities exist elsewhere.