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The Falcon Cloud Security team is looking for a hands-on Engineering Manager / Team Lead to lead the development of Agentic Workflows - a transformative initiative aimed at automating complex security operations using AI-native agents. You will lead a team of talented engineers while remaining deeply technical, helping architect and build autonomous systems that don't just alert but actively reason, investigate, and remediate security risks across multi-cloud environments.
As a player-coach, you will help shape the "brain" of our cloud security platform, guiding both the people and the technology that leverages large-scale data and AI-driven logic to help customers discover misconfigurations, prioritize risks, and automate defensive actions at scale.

What You'll Do:

Lead & Grow a Team: Manage, mentor, and develop a team of backend engineers, fostering a high-trust, high-performance culture. Conduct regular 1:1s, support career growth, and drive hiring to scale the team.

Stay Hands-On: Remain an active technical contributor - designing, reviewing, and writing production-quality code alongside your team. Lead by example and maintain a strong engineering presence.

Design & Architect: Drive backend engineering efforts to build autonomous agentic frameworks, guiding the team from rapid prototypes to large-scale production applications.

Develop Core Logic: Contribute to and oversee the development of decision-making engines and workflows that allow security agents to interact with cloud APIs (AWS, Azure, GCP) and internal data streams.

Data Integration: Guide the development of high-performance data integrations and streaming services (Kafka) to feed real-time security data into agentic models for continuous reasoning.

Scale Systems: Architect and oversee distributed systems capable of processing billions of security events to provide actionable posture intelligence and automated remediation.

Drive Cross-Functional Collaboration: Partner with Product, Design, and peer engineering teams in a "startup-like" environment to define and deliver new platform capabilities with speed and quality.

Raise the Bar: Champion engineering excellence, new technologies, and best practices across the team and broader engineering organization.

The Cloud Risk team Cloud Security is looking for a senior engineer to join our growing team working on a transformative initiative .

This role is centered on gathering customers resources and insights from various CrowdStrike cloud products, establishing connections between data sources, and handling large-scale data operations to run comprehensive evaluations and generate actionable posture intelligence.
You'll be responsible for processing vast amounts of customer data to create meaningful conclusions that help customers:

Discover misconfigurations, security risks, and compliance violations in cloud environments

Identify and prioritize security risk issues that require immediate attention

Gain valuable insights into their cloud resources and assets to enable faster, more effective investigations

Understand the potential risks associated with their assets and cloud environment

Make data-driven security decisions based on comprehensive analysis of their environment

Responsibilities include:

Develop ETL jobs to gather data from multiple sources and provide insights into various product areas

Building data warehouses where large amounts of metrics and data will be stored

Interacting with many product groups within the organization to collect key metrics via APIs, Kafka integrations or direct data access

Participation in configuring and receiving uptime alerts related to the services you control.

Keeping services up and running in a healthy state.

As a senior researcher and tech lead on the team, you will play a pivotal role in conducting security research while mentoring and guiding fellow researchers to scale our capabilities. Beyond your individual contributions, you'll help establish research methodologies, foster collaboration, and build a culture of technical excellence within our growing team.

This role provides a unique opportunity to join a team with strategic importance for protecting our customers from emerging threats and novel attack methodologies in cloud environments. You will get to work with vast datasets, have a direct impact on the efficacy and evolution of our detections, and play a decisive role in the strategic direction of our product development. Your contributions will enable continuous improvement of cloud detection capabilities while helping develop the next generation of security researchers.

What You'll Do
Initiate and conduct Cloud Research Initiatives: Follow the threat landscape to identify trends in the realm of cloud infrastructure security, threat actors, novel attack approaches, and vulnerabilities in cloud-based and/or cloud-native environments and workloads.

Research threats and vulnerabilities in cloud provider infrastructure and containerized applications and workloads.

Develop advanced cloud security models: Create sophisticated models and frameworks for identifying and mitigating new types of cloud threats, focusing on predictive analytics and proactive threat hunting methodologies.

Lead and mentor research efforts: Guide fellow researchers in technical decision-making, establish research best practices and methodologies, and foster knowledge sharing within the team to build collective expertise.

Collaborate with cross-functional teams: Work closely with various teams, including engineering, product management, detection engineering, and threat intelligence to drive cloud detections in the Falcon platform.

Coordinate research initiatives: Lead technical discussions, prioritize research objectives within your area of responsibility, and ensure alignment with broader team goals and product roadmap.

The Cloud Risk team Security is looking for a senior engineer to join our growing team working on a transformative initiative
This role is centered on gathering customers resources and insights from various CrowdStrike cloud products, establishing connections between data sources, and handling large-scale data operations to run comprehensive evaluations and generate actionable posture intelligence.


What You'll Do:

You'll be responsible for processing vast amounts of customer data to create meaningful conclusions that help customers:

Discover misconfigurations, security risks, and compliance violations in cloud environments

Identify and prioritize security risk issues that require immediate attention

Gain valuable insights into their cloud resources and assets to enable faster, more effective investigations

Understand the potential risks associated with their assets and cloud environment

Make data-driven security decisions based on comprehensive analysis of their environment

We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do:

Design and implement high-performance, distributed data processing pipelines handling petabytes of security data

Architect complex data transformations using Apache Spark for large-scale batch and stream processing

Be part of shaping new products while collaborating with product teams, customers, and sales.

Build and optimize real-time data streaming solutions using Kafka for identity analytics

Develop and maintain scalable ETL processes that handle billions of daily events

Create efficient data models for complex security analytics queries

Collaborate with cross-functional teams to deliver high-impact security features

Optimize query performance and data storage patterns for large-scale distributed systems

Participate in system design discussions and architectural decisions

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on various container optimized Linux distros. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.

What You'll Do:

Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.

Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.

Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles

Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable

Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud

Other projects as assigned

seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems.At Valence, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.

Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands

We are looking for a hands-on Security Research Team Lead to own and scale our Security Research domain.

This is a foundational role in a small, highly technical team, focused on deep security research, algorithmic thinking, and leveraging AI to turn complex data into accurate, actionable security insights.

This role is not about people management by default - it is about technical leadership, ownership, and building scalable research capabilities that directly impact product and customer security.

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Responsibilities:

Own and lead the Security Research domain through hands-on technical work.
Research security risks in SaaS and business applications, including permissions, identities, and access models.
Design and apply algorithmic approaches to analyze complex data structures and security risk surfaces.
Leverage AI-based techniques to work with large-scale data, improve accuracy, and automate research workflows.
Detect security flaws, misconfigurations, and systemic risks in SaaS environments.
Lead and support complex security investigations and customer-facing incident research.
Work closely with Product and Engineering to translate research findings into scalable product capabilities.
Technically mentor and support a small and growing research team.
Define research priorities and help shape how the team scales over time.

We are looking for an experienced Product Manager to join our Product team and lead major parts of SaaS Security platform, with a growing focus on securing AI capabilities embedded in SaaS applications.In this role, you will design, define, and deliver core product features, working closely with engineering, sales, and marketing. You will help shape how organizations secure modern SaaS environments - including AI-powered features such as copilots, agents, and generative AI integrations - and translate emerging market needs into impactful product capabilities.If you thrive in fast-paced environments, enjoy owning complex products, and want to be at the forefront of SaaS Security in the AI era, wed love to talk.Responsibilities

Define and prioritize product features and capabilities, including security and governance for AI features within SaaS applications
Lead discovery for new product initiatives, focusing on risks and attack surfaces introduced by AI adoption in SaaS environments
Create clear product requirement documents (PRDs / FRDs) and manage the product backlog
Work closely with engineering teams to ensure delivery aligns with the product roadmap and customer needs
Conduct market research and customer conversations to understand how AI is being used in SaaS and the resulting security challenges
Collaborate with sales and marketing on product launches, messaging, and enablement.
Monitor competitors and market trends across SaaS Security, AI Security, and identity-related domains
Balance quarterly planning with the flexibility to rapidly adjust priorities in a fast-changing market

We are seeking a skilled and experienced Product Manager to join our team in the field of SaaS security. The ideal candidate will be responsible for designing major parts of our SaaS security product. They will work closely with cross-functional teams including engineering, marketing, and sales to identify and prioritize features and functionality, design the features and oversee their development.

If you are a self-motivated and results-driven individual with a passion for delivering innovative products and solutions in the SaaS security industry, we encourage you to apply for this exciting opportunity.

Responsibilities
Define and prioritize product features and functionality based on customer needs, market trends, and business objectives
Create functional requirement documents and manage the features backlog
Collaborate with engineering teams to define and ensure that product development aligns with the product roadmap and meets customer requirements
Conduct market research and customer calls and translate those into product requirements
Collaborate with sales and marketing teams to ensure successful product launches and provide product training and support
Monitor and analyze competitors' products and positioning to ensure our products remain competitive and meet market needs

We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure.
We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration.
You wont be working on isolated experiments. Youll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic.
This role requires strong scientific discipline and the maturity to balance innovation with practical constraints.
What youll do
End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic.
Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis.
Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust.
Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment.

We are looking for a strong Data Engineer / Software Engineer who wants to move into Data & AI and thrives in an end-to-end environment. You wont be building models in isolation. Youll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability.
If youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll do
End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production.
Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations.
Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs.
Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We're looking for an Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems.
Responsibilities:
Continuously checking and improving security measures to protect our systems.
Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
Helping developers follow secure coding practices and learn how to prevent security risks.
Staying updated on new security threats and best practices to keep our security standards high.
Contributing to our companys security research blog.