Full-Time
Senior Data Engineer
Updated on 9/4/2026
Nebulock
11-50 employees
AI-powered access management for SaaS
Compensation Overview
$160k - $200k/yr
Remote in USA
Remote
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- At least 4 years of experience building data pipelines supporting customer-facing products.
- Experience with data warehousing technologies.
- Proficiency in Python, Java, Go, Rust, or a similar programming language.
- Hands-on experience with large-scale event-streaming systems such as Kafka or similar technologies.
- Experience with either Amazon Web Services or Google Cloud Platform.
- Strong systems thinking and understanding of performance, cost, and complexity trade-offs.
- Ability to adapt, iterate, and ship quickly.
- Design, build, and maintain scalable data pipelines that ingest and process large volumes of security telemetry, including terabytes per day.
- Own application programming interface and event-stream integrations across third-party data sources, including endpoint detection and response, identity and access management, cloud, and software-as-a-service sources.
- Develop and maintain the transformation layer that turns disparate data into a normalized, enriched, and queryable model.
- Build an engine that correlates entities across disparate data sources.
- Work on core search capabilities across vast amounts of data.
- Collaborate with internal detection engineers, threat hunters, and product engineers to meet the data needs of the agentic threat-hunting platform.
- Set and promote data-engineering standards and best practices, including observability, monitoring, and automated testing.
- Help drive the architecture and technical direction of the platform.
- Experience with ClickHouse.
- Experience building or working with search systems over large datasets.
- DevOps or platform-engineering experience.
- Cybersecurity experience.
- Startup experience.
Nebulock provides an AI-powered access management platform for modern SaaS stacks. It centralizes control of employee access across multiple applications by integrating with existing identity providers and SaaS apps. The platform automates onboarding, offboarding, and access requests to reduce manual IT workload while improving security. It uses artificial intelligence to analyze usage patterns and recommend appropriate permissions, supporting least-privilege access. This helps prevent unauthorized access and increases operational efficiency. Nebulock targets organizations of all sizes that rely on cloud-based applications and complex access management. Founded in 2024, it emerged to address the security risks of managing user permissions in cloud-native environments.
Company Size
11-50
Company Stage
Series A
Total Funding
$33.5M
Headquarters
Massachusetts
Founded
2024
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Simplify's Take
What believers are saying
- June 25, 2026 Series A raised $25 million from FirstMark and existing backers.
- Nebulock already counts Cribl, HealthEdge, and Bain Capital among named customers.
- August 2026 product releases broaden insider-risk and cross-telemetry correlation for larger enterprise deployments.
What critics are saying
- CrowdStrike, Palo Alto Networks, and Microsoft already sit inside customer stacks, squeezing Nebulock.
- If Vespyr misses threats or floods analysts with noise, buyers will kill renewals by 2027.
- FirstMark's June 2026 Series A bought time, not durable demand, if SIEM budgets freeze.
What makes Nebulock unique
- Nebulock fuses identity, endpoint, cloud, network, and SaaS telemetry into autonomous hunts.
- June 24, 2026 Command Center turns findings, hunts, and coverage gaps into one workflow.
- By June 25, 2026, Vespyr had run 300 million investigations and surfaced 4,000 findings.
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Benefits
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Remote Work Options
Flexible Work Hours
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Growth & Insights and Company News
6 month growth
↓ -7%1 year growth
↓ -7%2 year growth
↓ -7%Nebulock secures $25 million to advance ai-powered contextual security. Nebulock, a leading provider of AI-powered cybersecurity solutions, has announced a $25 million funding round to further develop its AI-native contextual security platform. The investment, led by a consortium of venture capital firms, will enable Nebulock to accelerate the deployment of its new technology and expand its market reach. Nebulock's ai-native contextual security platform. Nebulock's platform uses advanced artificial intelligence and machine learning algorithms to provide real-time, contextual security analysis. The system continuously monitors network traffic, user behavior, and other relevant data points to identify and mitigate potential threats before they can cause significant damage. Funding to drive innovation and growth. The $25 million funding round will allow Nebulock to further enhance its AI-native technology, invest in research and development, and expand its sales and marketing efforts. The company plans to use the funds to hire additional engineering talent, strengthen its product offerings, and deepen its partnerships with leading technology providers in the cybersecurity space. Addressing the evolving threat landscape. According to Nebulock's CEO, John Doe, the funding comes at a critical time as organizations grapple with an increasingly complex and active threat landscape. "Cybercriminals are constantly evolving their tactics, and traditional security solutions are often unable to keep up," Doe said. "Nebulock's AI-native approach provides a more proactive and adaptive solution to protect our clients' assets and safeguard their operations." Endorsements from industry experts. The funding round has garnered praise from industry analysts and cybersecurity experts. "Nebulock's new approach to contextual security is a game-changer in the industry," said Jane Smith, a senior analyst at Cybersecurity Research Group. "By using the power of AI, the company is able to provide organizations with a more complete and effective security solution." Looking ahead. Nebulock plans to use the funds to accelerate the rollout of its AI-native contextual security platform, with the goal of becoming a leading provider of advanced cybersecurity solutions. The company is also exploring strategic partnerships and potential acquisitions to further strengthen its market position and expand its product offerings. Frequently asked questions. How does Nebulock's AI-powered contextual security work? Nebulock's AI-powered contextual security leverages machine learning algorithms to analyze user behavior, device data, and network traffic in real-time. This allows it to detect and respond to security threats by understanding the context and intent behind user actions, rather than relying on rigid rules or signatures. What is Nebulock's AI-powered contextual security? Nebulock's AI-powered contextual security is an advanced cybersecurity solution that uses artificial intelligence and machine learning to provide dynamic, context-aware protection against cyber threats. It goes beyond traditional security measures by continuously adapting to changing user behaviors and network conditions. Why is Nebulock's $25 million funding important for AI security? Nebulock's $25 million in funding will allow the company to further develop and refine its AI-powered contextual security technology. This additional investment will help Nebulock accelerate innovation, expand its team of experts, and bring its advanced security solutions to more organizations facing increasingly sophisticated cyber threats. Can Nebulock's AI security protect against zero-day attacks? Yes, Nebulock's AI-powered contextual security is designed to detect and mitigate zero-day attacks. By continuously analyzing user behavior, device data, and network traffic patterns, Nebulock's AI can identify anomalies and respond to previously unknown threats in real-time, without relying on traditional signature-based detection methods. Which industries can benefit most from Nebulock's AI security? Nebulock's AI-powered contextual security is highly versatile and can benefit a wide range of industries, including finance, healthcare, critical infrastructure, and high-tech sectors. These industries often face complex, evolving cyber threats that require advanced, adaptive security solutions to protect sensitive data and mission-critical systems. Senior Editor Hello! I'm Wahab Ali, a technology writer and software engineering graduate passionate about making the digital world more understandable and accessible. Originally from Karak and now based in Islamabad, I completed my BS in Software Engineering from KKKUK University, where I discovered my love for both technology and teaching others about it. At NetworkUstad, I publish daily articles exploring cybersecurity, networking, artificial intelligence, machine learning, and the latest technological innovations. My goal is simple: to translate complex tech concepts into clear, actionable insights that empower you to navigate its increasingly digital world with confidence. I believe that understanding technology isn't just for developers and IT professionals - it's for everyone. Whether you're a fellow tech enthusiast, a professional looking to stay updated, or someone simply curious about how things work, I'm here to share knowledge and insights that matter. Technology shapes its lives in countless ways, and I'm committed to helping you stay informed, secure, and ahead of the curve. 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Nebulock Raises $25M Series A. Nebulock raises $25 million in a Series A round led by FirstMark to expand its AI-native contextual security platform for enterprise threat hunting. Updated June 26, 2026 Nebulock, based in Boston, is an AI-native contextual security platform that helps enterprises proactively detect and manage threats. The company has raised $25 million in a Series A financing round to support its rapid growth and platform expansion. Investors. This round was led by FirstMark, with participation from existing investors Bain Capital Ventures, Decibel, Zetta Venture Partners, and Step Function. Nebulock use of funds. The capital will be used to expand the capabilities of the Nebulock platform, specifically to deepen its cross-telemetry correlation and behavioral context graph. The company also plans to scale its engineering and go-to-market teams to meet increasing enterprise demand. About Nebulock. Founded by former security and product leaders from companies like CrowdStrike, Palo Alto Networks, and Arctic Wolf, Nebulock provides a platform that helps security teams identify malicious activity by analyzing behavioral patterns across endpoint, identity, cloud, network, and SaaS environments. The company aims to move security operations away from reactive, alert-driven models toward proactive, context-rich protection. Funding details. Company: Nebulock Raised: $25M Round: Series A Funding Date: June 25, 2026 Lead Investor: FirstMark Additional Investors: Bain Capital Ventures, Decibel, Zetta Venture Partners, Step Function Company Website: https://nebulock.io Software Category: Cybersecurity Source: https://www.businesswire.com/news/home/20260625381441/en/Nebulock-Raises-%2425-Million-Series-A-to-Bring-a-Hunt-First-Context-to-the-Enterprise Updated June 26, 2026
Nebulock raises $25M to expand hunt-first security platform. Threat hunting startup Nebulock Inc. revealed today that it has raised $25 million in new funding to push its autonomous hunting platform into broader "hunt-first" security analytics. Founded in 2023, Nebulock offers autonomous, vendor-agnostic threat hunts driven by artificial intelligence. Those hunts span endpoint, identity, cloud, network and software-as-a-service telemetry. Its argument is simple: Most security tooling judges events one at a time, so it misses threats that only surface once activity is read as a sequence over time. The company calls the resulting risks "green flags," its term for malicious activity that looks routine on the surface. An attacker logging in with valid stolen credentials, or a sanctioned AI agent doing something nobody authorized, trips no rule and raises no obvious anomaly. Nebulock turns an organization's own telemetry into what it describes as a behavioral system of record, letting analysts reason across systems rather than chase individual alerts. Nebulock said the platform has run more than 300 million agentic investigations and produced more than 4,000 high-confidence findings since its public launch less than a year ago. Customers include Cribl Inc., HealthEdge Software Inc. and Bain Capital LP, alongside Fortune 500 enterprises in financial services, healthcare and technology. Alongside the raise, Nebulock shipped new tooling. One feature for insider risk pulls a person's or an AI agent's scattered accounts, identities and hosts into a single entity that analysts can monitor. Another correlates unrelated signals from endpoint, identity and cloud into one detection, with a full evidence chain behind it. There's also a Command Center view that tells teams where to hunt, what to investigate and which coverage gaps matter most, including the ones still buried in a customer's security information and event management system. Enterprise AI adoption is what Nebulock says makes the approach urgent. When OpenClaw went viral earlier this year, the company logged more than 50,000 related events across 40% of its customer base inside a week. Detections went out before those events turned into incidents, it said. "Expert threat hunting should not demand endless headcount, months of integration, or a pile of tools that never talk to each other," founder and Chief Executive Damien Lewke said in a blog post announcing the round. FirstMark Capital led the Series A round. Existing backers Bain Capital Ventures, Decibel Partners, Zetta Venture Partners and Step Function Ventures also took part. With the new funding, Nebulock has now raised about $33.5 million in total. The company previously raised $8.5 million in a seed round in July 2025. Image: Nebulock. 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. 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.
Today we're announcing our $25 million Series A funding, led by FirstMark, to build a hunt-first contextual security platform.
Nebulock, a contextual security startup, has raised $25 million in a Series A round led by FirstMark. Founder and CEO Damien Lewke disclosed the funding exclusively. The company addresses the growing challenge of AI-enabled cyberattacks, where bad actors use artificial intelligence to blend into normal workflows, making threats increasingly difficult to detect. Nebulock focuses on AI threat hunting to identify these sophisticated attacks. The funding will support the startup's efforts to combat emerging security risks as cybercriminals leverage AI technology to evade traditional detection methods.