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We are looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.
What you'll do:
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies.

We are seeking a skilled and motivated DevOps engineer with deep familiarity in the streaming ecosystem to join our elite infrastructure team. If you're excited by the challenge of operating mission-critical systems at scale and optimizing the developer experience through automation and tooling, wed love to hear from you.
What you will do:
Automate Deployment and Operation:
Oversee deployment of Kafka and RabbitMQ clusters (including Confluent Cloud & CFK). Build automation pipelines to ensure repeatability and resiliency across environments.
Monitor and Support Production Systems:
Own production stability of global Kafka clusters. Handle on-call rotations, incident management, troubleshooting, and scaling challenges.
Improve Infrastructure Observability
Build and maintain observability systems: dashboards, alerting pipelines, metrics collection (Prometheus, Grafana, etc.).
Optimize System Performance:
Collaborate with peers on benchmarking and optimization initiatives. Work on tuning Kafka brokers, cluster configurations, and runtime parameters.
Provide Developer Support and Training (Infra-focused)
Help developers configure topics, quotas, and consumers appropriately. Train service owners to interpret monitoring data and avoid pitfalls.
Develop and Maintain Infrastructure:
Contribute to building infrastructure tools and scripts (IaC, Helm charts, etc.) that make provisioning and managing clusters reliable and efficient.
Secure Infrastructure Access:
Configure and maintain secure access patterns across streaming infrastructure, ensuring proper authentication and role-based access controls are enforced for both developers and services.

We are looking for an experienced Staff Technical Program Manager. This role involves overseeing the planning, execution, and delivery of technical projects within our organization, while also managing deployments to production environments. The ideal candidate will possess strong project management skills, technical understanding, and the ability to effectively communicate with cross-functional teams.
What you will do:
Project management Lead and manage the end-to-end lifecycle of complex technological projects - understands projects goals and details, proficient in crafting project roadmaps, overseeing scope, backlog, and timelines, monitoring crucial milestones, managing KPIs, and navigating essential dependencies.
Identify and mitigate risks, resolve issues, and make adjustments as necessary.
Establish continuous improvement as part of the culture, processes and tools.
Define and enforce best practices and standards for the production environments operations.
Facilitate and guide R&D teams in the release planning and delivery process, ensuring effective collaboration & execution while defining and implementing best practices and tools.
Ensure cross organizational communication and process coordination, serving as the focal point for project health visibility and strategic status reporting to senior executives
Identify problems by observing and studying system functions and performance results.

We are looking for a Staff AI Platform Engineer to join the Development Platform team, which is responsible for accelerating our R&D velocity and elevating product quality.
We need a pragmatic systems thinker who is deeply passionate about Developer Tools (DevTools) and the future of generative AI. You can architect a distributed LLM workflow in the morning, and influence engineering behavior across the entire org in the afternoon.
In this role, you will enable 200+ engineers to safely and reliably leverage agentic AI.
What You'll Do:
Scale Quality, Not Just Code Volume: Solve the hard problem of AI-driven quality by building rigorous measurement frameworks, ensuring that an AI-accelerated org delivers better software, not just more software.
Establish AI Governance & Security: Architect guardrails around LLM usage, data privacy, and cost management, ensuring 200+ engineers can innovate rapidly without compromising compliance or security.
Optimize the SDLC: Embed autonomous workflows, coding agents, and tool/context design directly into the developer lifecycle to supercharge R&D velocity.
Drive Org-Wide Adoption: Act as a force multiplier, leading the organizational rollout of AI developer tooling and setting production best practices across teams.
Build Agentic Infrastructure: Design and deploy production-grade multi-agent systems, tackling complex challenges like parallel session isolation, subagent delegation, and self-improving feedback loops.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.
As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.
If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.
What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.
What you'll do:
Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.
Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.
End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).
Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.
Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.
Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

We are looking for an analyst that first and foremost has a passion for data,
Can see the big picture but also pay attention to small details,
Team player that can work with many interfaces but also lead and take ownership.
What you'll do:
Provide complex data analysis to facilitate feature development and product decisions
Research and explorations of diverse APIs
Identify data issues that require special attention
Identify and fix data inconsistencies
A team player who understands that the only way to solve large problems is with teamwork and collaboration

Required Network Researcher
Network research is at the core of how we work. As an agentless platform, everything we know about a device starts with the network - and this team owns that layer end to end.
You'll work across the full spectrum: IT, OT, IoT, medical, industrial. Researching protocols, dissecting traffic, and turning raw network data into accurate device insights at scale.
What You'll Do:
Own the deep packet inspection pipeline from initial protocol research through to production code.
Research network protocols and device behaviors - inspecting traffic, modeling architectures, and building the understanding that drives accurate client insights.
Develop core platform features based on network activity, from protocol parsers to device classification logic.
Dig into the security posture of devices and protocols at the network layer - identifying implementation flaws, documenting findings, and driving responsible disclosure.
Work closely with Product, Data, and other R&D teams.
Join customer POCs when it matters - debugging hard problems in time-sensitive environments.

We are seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the Sr. Director of Engineering, this team designs and ships AI-native solutions - agents, assistants, and reusable skills - that advance our security mission and multiply the impact of teams across the company.
This is a builder role. We're looking for experts engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work.
What you'll do:
Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for us and our customers.
Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems.
Build evaluation into everything you ship - define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought.
Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls.
Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE.
Also be a part of the COE Consult team to help across the organization.
Document what you build and how it should be used, operated, and evaluated.