Full-Time

Regional Sales Manager

SLED

Posted on 8/19/2026

Cribl

Cribl

1,001-5,000 employees

Data observability platform for logs

Compensation Overview

$160k/yr

+ Commission

Sacramento, CA, USA

Remote

Occasional duties outside standard working hours may be required across time zones.

Category
Sales & Account Management (1)

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Requirements
  • Seven or more years of success in strategic, complex sales, ideally in high-growth or early-stage companies.
  • Proven ability to prospect, build pipeline, and self-source SLED opportunities.
  • A track record of landing and expanding seven-figure deals with Fortune 1000 or G2K accounts.
  • Experience navigating long sales cycles with multiple buying centers and executive stakeholders.
  • Comfort selling multi-product, complex technology to technical and non-technical personas.
  • Familiarity and experience with MEDDICC, MEDDPIC, or similar structured sales methodologies.
  • Ability to craft and deliver a compelling business case rather than selling only on pain or features.
  • Success selling unbudgeted solutions and winning based on value rather than brand recognition.
  • A demonstrated commitment to excellence, ownership, and long-term success, including four or more years of average tenure in recent roles.
Responsibilities
  • Build and execute a territory plan to consistently exceed quota selling into SLED and California.
  • Own the entire sales cycle from outbound prospecting to closing strategic, multi-stakeholder deals.
  • Develop and nurture relationships across multiple buying centers within large, multinational enterprises.
  • Drive opportunities using structured sales methodologies such as MEDDICC and MEDDPIC to ensure qualification, process rigor, and forecast accuracy.
  • Clearly articulate the company’s value proposition to audiences ranging from engineers to C-level executives.
  • Prioritize customer outcomes and act as a trusted advisor throughout the sales process.
  • Collaborate cross-functionally with pre-sales, product, and marketing teams to win high-value opportunities.
  • Occasionally perform duties outside standard working hours to collaborate across time zones.
Desired Qualifications
  • Experience selling through partners or in a channel-led sales motion.

Cribl provides data observability solutions that help tech teams collect, route, transform, and analyze logs and metrics. Cribl Stream routes and transforms data on either on-premises infrastructure or in the cloud, while Cribl Edge gathers real-time observability data from edge devices and forwards it to Stream or other destinations. The platform integrates with services like Office 365 and Microsoft Azure to simplify data collection and visualization. The goal is to give organizations real-time visibility into their data, improve operational efficiency, and strengthen security by managing data flows and observability insights.

Company Size

1,001-5,000

Company Stage

Private

Total Funding

$596.4M

Headquarters

San Francisco, California

Founded

2018

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Simplify Jobs

Simplify's Take

What believers are saying

  • Cribl surpassed $300 million ARR in February 2026, confirming strong enterprise demand.
  • August 2026 AI SOC and detection releases open higher-margin security workflows immediately.
  • Tel Aviv expansion from CardinalOps adds Israeli cyber talent for faster product development.

What critics are saying

  • Datadog, Splunk, and Sumo Logic bundle pipeline features, compressing Cribl's category premium by 2027.
  • Radiant Security and CardinalOps integrations distract engineering, delaying core reliability while competitors ship faster.
  • If hyperscalers commoditize telemetry routing, Cribl loses pricing power and becomes an acquisition target.

What makes Cribl unique

  • Cribl unified telemetry routing, storage, search, and security apps into one platform.
  • Half of Fortune 100 customers create sticky enterprise workflows and high switching costs.
  • FedRAMP authorization and August 2026 security acquisitions deepen regulated-market credibility and scope.

Help us improve and share your feedback! Did you find this helpful?

Benefits

Competitive Salary

Stock Options

Medical, dental, and vision insurance

Flexible spending account (FSA)

401(k) plan offered (US)

Parental Leave

Professional Development and Career Growth

Generous Vacation and Holiday Policy, including 2 Floating Holidays for holidays you observe

Employee Resource Groups that reflect our values driven company culture

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
SiliconANGLE Media
Aug 19th, 2026
Cribl buys Radiant Security's AI SOC tech in second security deal of 2026.

Cribl buys Radiant Security's AI SOC tech in second security deal of 2026. Telemetry data company Cribl Inc. today said it has acquired technology assets from artificial intelligence security operations startup Radiant Security Inc. The purchase covers the intellectual property behind software that triages, investigates and resolves security alerts on its own. Terms were not disclosed. Cribl is adapting the technology to run as an application on its telemetry platform, where the AI works against data the platform already collects and routes. Rather than the prebuilt playbooks Cribl said most tools rely on, Radiant's software builds triage logic on the fly for each alert that arrives, then runs the investigation directly against telemetry wherever that data sits. Cribl said the combination should cut false positives and speed up threat detection. "Too much of the $121 billion security market is trapped in data silos, giving security teams incomplete information," said Clint Sharp, co-founder and chief executive of Cribl. "By pairing AI SOC technology with Cribl's open telemetry platform, we're ending the era of siloed solutions and giving security teams the intelligence they need, right when AI is reshaping the entire operations landscape." This is Cribl's second security deal of 2026. In July, the company bought Israeli detection engineering startup CardinalOps Ltd., whose platform maps a customer's detection rules to the MITRE ATT&CK framework and flags where coverage is missing. Capabilities that once justified a standalone product now make more sense running on shared telemetry infrastructure, Cribl argues. Another disconnected tool, in that reading, just spawns another data silo. Andrew Braunberg, principal analyst at Omdia, said Cribl's approach centers on "transforming raw telemetry into a unified foundation for AI-driven applications." Customers can then shape their security stacks the way they want, he said. Radiant Security's platform automates alert triage and investigation. The software connects to the security tools a customer already runs. Next47 led a $15 million Series A round into the company in November 2023. Cribl, as of its last funding round in August 2024, was valued at $3.5 billion. More additions to the platform are due at CriblCon, Cribl's annual user conference, on Sept. 28. Image: Radiant Security. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network Are you an AWS customer? Support SiliconANGLE financially by buying your AWS services from its Marketplace portal page and links: https://siliconangle.com/aws-marketplace/. About SiliconANGLE Media. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

Age for AI
Aug 19th, 2026
Cribl buys Radiant Security's AI SOC tech in second security deal of 2026.

Cribl buys Radiant Security's AI SOC tech in second security deal of 2026. Telemetry data company Cribl Inc. today said it has acquired technology assets from artificial intelligence security operations startup Radiant Security Inc. The purchase covers... Source and context SiliconANGLE · Prepare 6-24 months Aug 19, 2026, 1:00 PM Today's signal Fast orientation Structural Shift Confidence Medium · 6-24 months Reality status Reported development Real, still developing. Treat this as a concrete reported move, while keeping some distance between the underlying fact and the broader consequences being inferred from it. Signal panel Scan the signal before you read the analysis. * Signal level - Structural Shift * Signal strength - High * Time horizon - 6-24 months * Human impact - Medium * Economic impact - High * Governance impact - High * Confidence - Medium Original signal What the source is actually reporting. What happened Telemetry data company Cribl Inc. today said it has acquired technology assets from artificial intelligence security operations startup Radiant Security Inc. The... Who is involved The clearest named actors are Cribl and Radiant Security. The likely spillover reaches companies, platform operators, and workers likely to absorb the operational change. What changed Capital, competitive position, or market structure is moving around this part of the AI stack. It is being reported now because money, leverage, or competitive positioning in AI is visibly shifting. Chip rewritten report A fuller reader version of the report. Reader version SiliconANGLE reports this core fact: Telemetry data company Cribl Inc. today said it has acquired technology assets from artificial intelligence security operations startup Radiant Security Inc... The clearest named actors are Cribl and Radiant Security. The likely spillover reaches companies, platform operators, and workers likely to absorb the operational change. Capital, competitive position, or market structure is moving around this part of the AI stack. It is being reported now because money, leverage, or competitive positioning in AI is visibly shifting. For readers, this belongs in the AI Risks and Governance lane and the AI Business and Markets topic, which means the important details are not only who announced what, but which expectations, costs, rules, or capabilities may now move around it. The useful reading is simple: Capital and competitive pressure may be shifting around this part of the AI stack. Chip interpretation What it means The factual signal is straightforward: Telemetry data company Cribl Inc. today said it has acquired technology assets from artificial intelligence security operations startup Radiant Security Inc. The purchase covers... Read this through The practical question is whether this changes incentives, costs, rules, or behavior beyond the announcement itself. Decision test Read this through budgets, workflow design, labor pressure, and business adaptation rather than through launch language alone. For anyone affected by business, the useful test is whether this changes trust, cost, rules, capability, or expected human judgment after the first attention wave passes. Why this matters The consequence is more important than the headline. These are the areas most likely to move if this reported change hardens into policy, infrastructure, or default expectation. Impact card Business impact. This can change budgets, rollout timing, or vendor leverage faster than the headline suggests. The practical business question is whether it shifts cost, speed, or bargaining power. Impact card Human impact. People may not feel the effect immediately, but the signal can still change day-to-day expectations. It matters once the behavior becomes normal, not just once it gets announced. Impact card Governance impact. This is really about who gets to approve, delay, or shape deployment. Once release decisions move closer to institutions, technical change becomes a power question. Impact card AI ecosystem impact. This matters to the AI ecosystem if it starts to change standards, expectations, or the balance between builders, buyers, and regulators. Repetition is what turns this from news into infrastructure. Who gains / who is pressured Follow the incentives, not the announcement. * Teams that adapt early: They can convert new capability into faster workflows, lower cost, or clearer strategic positioning. * Infrastructure and platform providers: They benefit when AI usage deepens and demand moves upward through the stack. Who is pressured * Slow incumbents: They are exposed if they wait too long to translate the signal into operational change. * Roles built on repeat tasks: They feel pressure when AI starts taking over routine judgment or task execution. Multiple perspectives Trust improves when the angles are visible. Enterprise view The useful lens is whether this changes cost, workflow design, procurement logic, or execution speed inside a company. Worker view The real question is whether the change removes routine work, raises expectations, or shifts what counts as valuable human judgment. Investor view The signal matters if it changes margins, adoption speed, defensibility, or where value accumulates across the stack. What humans should do Primary action: Prepare. * Review the workflow, budget, policy, or product area this signal touches before it becomes urgent. * Decide what would trigger a real change in plan if more stories of this kind appear. * Translate the signal into one concrete preparedness step for the team rather than vague concern. Signal memory Original source Source and evidence still matter. This page is a Chip interpretation of the original article. It is not the original article. Please read the original source for the full report. Curation note: this brief uses the source link, attribution, and original Age for AI commentary. It is not permission to repost the publisher's full text, images, or reporting elsewhere. What readers are saying. No comments yet

Paul Hastings
Aug 19th, 2026
Paul Hastings advises Cribl on its acquisition of Radiant Security's technology assets.

Paul Hastings advises Cribl on its acquisition of Radiant Security's technology assets. August 19, 2026 Paul Hastings LLP advised Cribl, an AI platform for telemetry, on its acquisition of the technology assets from Radiant Security. This is Cribl's second security technology acquisition this year, following its acquisition of CardinalOps in July, on which Paul Hastings also advised. M&A partner Ian Engstrand led the Paul Hastings team, which included partner David Ambler, of counsel Jarrett Burks and associate Harriet Bryant. More details can be found here. About Paul Hastings With widely recognized elite teams across 17 core practices, Paul Hastings is a premier law firm with a culture of excellence focused on providing intellectual capital and superior execution globally to the world's leading investment banks, asset managers and corporations.

Cribl
Aug 5th, 2026
Locking down apps at Cribl: RBAC, elevated permissions, and user identity.

Locking down apps at Cribl: RBAC, elevated permissions, and user identity. Last edited: August 5, 2026 If you've started building or installing Cribl Apps, you know the power. Apps let you make Cribl's AI Telemetry platform work for you. Now Cribl is making apps better and more secure. Admins will have more control on who can use apps, more visibility on what they can do, and Cribl is giving app authors more capabilities for building secure apps. Its June release shipped three meaningful upgrades to how Apps handle access and identity: per-App sharing, declarative permission elevation, and signed-in user identity. Together, these enhancements make Apps something you can govern and build real multi-user experiences on top of. RBAC for Apps. Cribl is continually hardening the security of apps and providing more tools to admins. Cribl has introduced app sharing to allow admins to control which users and teams can use them. You can now share installed Apps with specific Members or Teams instead of exposing them to your whole Organization. From Apps > Installed, open the row's actions menu and select Share, then assign App user access on the Members or Teams tab. Say you built an internal App for reviewing Worker Group health, but it's really only relevant to your Platform team - now you can limit it to just that team. Or maybe you've got an App that touches something sensitive, and you want to limit the blast radius to a named set of people while you validate it. App sharing puts admins in full control to decide. For its MVP, RBAC is limited to whether or not a user can see an app. This will get richer and you can imagine more roles appearing in the future like Editor, Viewer, etc. Elevated permissions: let your App do more than the user can. Apps previously only ran under the permissions of the user accessing them. Cribl has seen customers hitting scenarios where apps need to access specific endpoints that the user may not have access to. An app author now has the ability to declare elevated access to APIs that it needs. For example by design an app may need to access diagnostic / health data for displaying a dashboard. An author can now declare in policy.yml that it needs access to those APIs and the app will get those permissions. Administrators review these declarations during install and upgrade, right alongside any outbound API declarations from proxies.yml, so nothing sneaks in - you can see exactly how the app will elevate before you install. In the example below you can see the author has elevated the roles endpoint so that the app can see all the roles in the org regardless of the user's permission. Signed-in user identity: apps finally know who's using them. Previously App authors had to jump through hoops in order to determine the user's identity. This impacted significantly the ability to personalize apps, or to limit their capabilities. Apps can now read the signed-in member's identity - id, name, and other profile details - directly. You can use the id as part of your namespace keys, so you can really offer a personalized experience. Does your app want to store a list of recent queries for each user? No problem. Want to add your own internal authorization system for parts of your app? Now you can. Better apps, more secure, more personalized. With the new features apps are getting better. Admins will have more governance, authors will have richer security and personalization options. Most importantly, users will get a more secure and tailored experience. Cribl, the AI Platform for Telemetry, empowers enterprises to manage and analyze telemetry for both humans and agents with no lock-in, no data loss, no compromises. Trusted by organizations worldwide, including half of the Fortune 100, Cribl gives customers the choice, control, and flexibility to build what's next. Cribl offer free training, certifications, and a free tier across its products. Its community Slack features Cribl engineers, partners, and customers who can answer your questions as you get started and continue to build and evolve. Cribl also offer a variety of hands-on Sandboxes for those interested in how companies globally leverage its products for their data challenges.

Digital IT News
Aug 3rd, 2026
Cribl expands AI Observability and security operations.

Cribl expands AI Observability and security operations. Cribl has announced new AI-focused security capabilities that transform existing enterprise telemetry into actionable AI visibility, stronger threat detection, and faster security response. The release introduces an AI Observability app that helps organizations monitor AI token usage, spending, model adoption, and risk across teams and applications. Expanded detection engineering and stream-native detections further improve threat coverage while enabling earlier identification of high-confidence threats without duplicating telemetry or rearchitecting existing infrastructure. AI adoption is moving from experimentation to infrastructure faster than enterprises can govern it. Many cannot answer basic questions about which teams and applications use which models, how token consumption maps to spend, when demand peaks, whether a smaller model could do the job, or where sensitive data is entering prompts. Security teams face a parallel problem: more telemetry, faster threats, and more disconnected tools. The market's default answer remains another collector, another copy of the data, and another closed platform. Machine Learning & Artificial Intelligence In contrast, Cribl's new capabilities represent a pivotal expression of the company's platform strategy, building on the AI Platform for Telemetry as a foundational infrastructure layer to offer real, customer-facing applications that solve urgent enterprise problems today. "Security teams are telling us they don't want to keep solving every new problem by sending the same data into more closed boxes," said Clint Sharp, co-founder and CEO of Cribl. "They want visibility into enterprise AI usage and risk, stronger detections, and the flexibility to work across the tools and environments they already have. This is our new approach: keep the data open, run the security capabilities on top, and give teams a path forward without rebuilding the stack every time the market changes." Understand AI usage, cost, and risk across the enterprise. Cribl's new AI Observability app gives organizations a fast, unified view of AI activity across models, applications, departments, and environments. Using existing telemetry already flowing through Cribl or retained elsewhere, teams can compare usage and spend by model, app, department, or workload; see demand peaks; understand token consumption across applications; and identify workloads better served by a smaller, less expensive model. Teams can also detect sensitive data exposure in prompts and traces, analyze usage and cost, and investigate complete sessions over time. This is done without duplicating pipelines, paying to pull data back out of closed platforms, or locking themselves into another proprietary stack. Security Products & Services Continuously improve detection engineering across environments. New detection engineering capabilities enable Cribl's platform to more intelligently identify relevant events in telemetry data. Building on Cribl's recent acquisition of CardinalOps, these capabilities map detections to the MITRE ATT&CK framework, expose coverage gaps, identify broken and noisy rules before they fail silently, and apply AI-assisted workflows so detection content can be maintained and improved over time instead of quietly drifting. That gives teams clearer visibility into what is covered, what is broken, and where to focus next across a broader security environment than any single SIEM can see on its own. Generate high-confidence security signals in motion. Cribl is bringing stream-native detections in Cribl Stream, enabling teams to identify high-confidence, event-based conditions and new classes of security-relevant events from normalized and enriched telemetry as it moves through the pipeline. Designed for known-bad indicators, policy violations, canary events, and other atomic tripwires, these detections help teams alert, route, or fast-track critical data while reducing what is sent to premium analysis tiers. More complex detections continue to use full-fidelity history for stateful correlation, backtesting, threat hunting, and investigation. The result is speed where it matters, without sacrificing the context required for trustworthy decisions. "With Cribl's platform model, AI Observability and SIEM solutions are not separate walled gardens. They are applications that can sit on a variety of data stores running over Cribl's telemetry infrastructure," said Chris DePuy, co-founder and analyst at 650 Group. "The SIEM is one app among others rather than the center of the architecture while the AI Observability app by itself is substantial enough to be its own company."