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We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

We're looking for a multi-disciplinary security researcher to play a vital role in researching, planning, implementing, and maintaining security solutions for organizational adoption and usage of software in general, and AI-native software in particular, in collaboration with all product development departments.
What You'll Do
Investigating how software in general, and AI-powered tools (coding assistants, agents, LLM-integrated IDEs, etc.) are used inside organizations, and where they introduce risk: data leakage, prompt injection, supply chain exposure, malicious extensions, and so on.
Building a data-driven picture of real-world usage and adoption to prioritize what we protect against, using telemetry, surveys, and external research.
Designing detection and prevention approaches for these risks, and working with engineering, product, and data teams to ship them in our product.
Auditing implementations against the threat models you develop and iterate.

As an AI Engineer at our company, you will own the intelligent decision-making pipelines that turn complex workspace telemetry into autonomous security actions. You will design, build, and deploy the autonomous reasoning workflows and advanced data classification systems that drive our company's preventive operating model. Your focus will be on creating resilient, production-grade AI systems capable of deep policy comprehension, real-time prevention at the point of adoption, and autonomous remediation of existing risks.
This is a ground-floor opportunity to shape the AI strategy of a fast-growing cybersecurity company alongside a lean, elite team of builders.
WHAT YOULL DO
End-to-End Ownership: Own our AI capabilities entirely from initial research, architectural design, and prototyping, through to production deployment, optimization, and continuous monitoring.
Design & Build Agentic Workflows: Architect multi-step AI agents capable of autonomously investigating workspace risks, interpreting complex enterprise policies, and taking precise remediation actions.
Integrate Multi-Faceted ML: Bring innovation and creative thinking to our core engine. Implement diverse ML models across our entire research and product pipeline-utilizing clustering, text extraction, document analysis, and tabular data classification.
Ship Production-Grade AI: Build high-throughput, resilient, and fault-tolerant production code. You will ensure our AI pipelines and agentic workflows are highly predictable, deeply observable, and built to scale under enterprise-grade loads.
Implement Guardrails & Evaluation: Build continuous evaluation frameworks to benchmark agent accuracy, mitigate hallucinations, and enforce strict data security/privacy guardrails.

Were looking for a Senior Backend Engineer to join our companys R&D team and help define the future of endpoint security.
Youll join a small, high-caliber engineering team that builds the services and data platforms powering our companys product. Your mission will be to design and operate reliable, scalable, and secure backend systems that make our product fast, trustworthy, and easy to extend.
What You'll Do
Build and own backend services and microservices using Python and Go.
Design schemas, run migrations, and build the analytics layer on ClickHouse.
Deploy and operate services on AWS + Kubernetes
Improve reliability, performance, and observability; participate in design/code reviews.
Drive end-to-end delivery across design, implementation, testing, deployment, and monitoring.
Collaborate closely with product, design, and data teams, explain tradeoffs and iterate fast.
Thrive in a dynamic, high-velocity landscape, leveraging cutting-edge stacks and advanced AI capabilities to build what matters.

We're looking for a Senior Frontend Engineer to join our company's R&D team and help define the future of endpoint security.
You'll join a small, high-caliber team of frontend experts building the foundations, components, and infrastructure that power our company's platform. Your mission will be to turn complex security data into fast, intuitive, and scalable experiences used by enterprise security teams every day.
What You'll Do
Build modern frontend applications using React, TypeScript, GraphQL, and the latest frontend technologies.
Build the infrastructure and guardrails - linting rules, AI agent skills, solid APIs, and testing mechanisms - that let non-frontend developers ship features fast without compromising quality.
Own frontend architecture, reusable components, and UI patterns while partnering closely with backend engineers and product teams.
Drive features end-to-end, from design and implementation through testing, release, and production.
Build intuitive experiences for complex security workflows, dashboards, and large-scale datasets.
Help shape and evolve our design system and shared component library.
Improve frontend performance, scalability, and developer experience.
Move fast, iterate quickly, and help shape both the product and engineering culture as we grow.

Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.

We're looking for an exceptional Senior Software Engineer to join the team building our company's Endpoint Agent.
This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.
You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.
If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.
What Youll Do
Design and build core capabilities for our company's Endpoint Agent.
Develop high-performance software in Rust and C++ that runs directly on customer endpoints.
Build features that interact closely with Windows and macOS internals.
Work across backend services and endpoint components to deliver end-to-end functionality.
Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.
Build reliable, production-grade software with performance, stability, and security in mind.

Were looking for an experienced Vulnerability Researcher to help us uncover how modern AI tools, agents, and enterprise environments can be abused - and turn those findings into impactful security research.
This role combines deep technical research with real industry impact.
Youll investigate emerging attack techniques, build proof-of-concepts, publish research the security community cares about, and help shape how our company protects customers.
Were looking for someone who loves understanding how things work, thinks creatively like an attacker, and knows how to turn technical findings into research people actually want to read and talk about.
What Youll Do
Research vulnerabilities and attack techniques across AI tools, endpoints, browsers, MCP servers, extensions, and enterprise environments
Investigate real-world threats, CVEs, supply-chain attacks, and AI-related security risks
Build proof-of-concepts and demonstrations of new attack paths
Publish technical research, blog posts, and security content
Work closely with Product and Engineering to improve our companys detection and prevention capabilities
Help position our company as a leading company in AI security research
Explore new technologies and identify risks before they become mainstream.

We're looking for a Senior Talent Acquisition Partner to build our company with us by bringing exceptional people to the team. This is a high-impact, hands-on role for someone who gets excited about finding great talent, building outstanding teams, and being a key part of a fast-growing startup.
What You'll Do
Own the full recruitment lifecycle from kickoff through offer acceptance.
Partner closely with Hiring Managers to deeply understand hiring needs and build effective hiring strategies.
Act as a trusted advisor to hiring managers by providing market insights, hiring recommendations, and data-driven guidance.
Develop creative sourcing strategies and proactively identify, engage, and attract exceptional talent across multiple channels.
Drive an exceptional candidate experience with clear communication, speed, and thoughtful interactions throughout the process.
Build and strengthen our company's employer brand through referrals, networking, and community engagement.

We're looking for an exceptional Senior Product Manager to help shape the future of our company's platform. You'll own strategic product areas end-to-end, partnering closely with Engineering, Design, Security Research, Data Science, and Go-to-Market teams to solve complex customer problems and bring innovative products to market.
This is a highly technical and strategic role where you'll work directly with enterprise customers, influence company priorities, and translate emerging technologies, customer insights, and market trends into product strategy. As an early member of the product organization, you'll have significant ownership and the opportunity to shape not only what we build, but how we build it.
You'll spend time with customers, dive deep into technical challenges alongside world-class engineers and researchers, and turn ambiguity into clear product direction. The technology landscape is evolving rapidly- with AI, modern applications, and new attack surfaces constantly reshaping enterprise security- and you'll help ensure our company stays ahead of what's next.
What You'll Do
Own the strategy, roadmap, and execution for key product areas across the company platform.
Define product vision and long-term direction while balancing customer needs, technical complexity, and business priorities.
Lead cross-functional teams through the full product lifecycle, from discovery and definition to launch and iteration.
Partner closely with Engineering, Design, Security Research, and Data Science to build innovative, customer-centric products.
Engage directly with enterprise customers to deeply understand their challenges and validate product direction.
Translate customer insights, product analytics, competitive intelligence, and emerging technologies into product strategy.
Prioritize opportunities, make informed tradeoffs, and drive alignment across teams.
Work closely with Product Marketing, Sales, Customer Success, and Leadership to successfully launch and scale new capabilities.
Define success metrics, measure outcomes, and continuously improve the customer experience.
Communicate product strategy, priorities, and progress with clarity across the organization.