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At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.

Were hiring a Senior Product Manager to lead the Investigation domain, where automation, data, and human oversight combine to prevent breaches and build enduring customer trust. This is a role with exceptionally high ownership and accountability - youll have a direct impact on stopping cybersecurity attacks and define how the system behaves under uncertainty.
Responsibilities
Own the product strategy for AI-driven security investigations: turning alerts into clear outcomes with measurable quality, speed, and trust.
Stay ahead of emerging technologies and market shifts, working with stakeholders to identify the most urgent security problems and shape high‑impact solutions.
Lead & prioritize cross-functional execution across engineering, data science, and security operations - aligning tradeoffs between speed, accuracy, and customer trust.

Were looking for an experienced Product Manager to lead our companys browser protection capabilities.
The browser has emerged as a major vector for data exposure and user‑driven risk across modern enterprise workflows.
Effective browser‑level controls are fundamental to preventing data loss, mitigating web threats, and governing AI usage in real time.
This is a highly strategic role as part of the DLP team, owning a shared browser protection platform that supports critical capabilities across different use cases in the platform.
You will drive complex, cross‑product initiatives and make high‑impact trade‑off decisions across security effectiveness, performance, and user experience.

We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.

We are seeking a skilled and motivated Software Engineer (Automation Infrastructure) to join our team. This role is primarily focused on designing, developing, and maintaining robust automation frameworks and ensuring seamless integration with external systems and partner teams. The ideal candidate will have a strong background in infrastructure automation, excellent problem-solving skills, and a collaborative mindset.
Responsibilities
Design, build, and maintain efficient and reliable automation frameworks.
Implement, test, and bug-fix automation scripts and tools.
Write clean, scalable, and testable code for infrastructure automation.
Participate as a team member in fully agile Scrum deliveries.
Coordinate with other software professionals and developers.
Provide support to end users for automation tools and frameworks.
Collaborate with external teams and third-party vendors to implement integration solutions.
Remain up to date with the terminology, concepts, and best practices in infrastructure automation.

Were looking for a strategic and experienced product leader to drive our data classification and privacy portfolio-one of the most foundational parts of our platform and a critical area of investment and innovation. This role is responsible for building advanced, scalable solutions that help our customers identify, categorize, and govern sensitive data across SaaS, IaaS, and on-prem environments.
You will lead a talented team of product managers and work closely with engineering, design, marketing, and sales to ensure our classification and privacy products continue to set the industry standard. Youll work in a hybrid model, and help shape the future of the company platform.
Responsibilities
Lead the strategy, vision, and execution for our companys classification and privacy products portfolio
Manage and grow a team of experienced product managers across multiple product lines
Define and own the roadmap for sensitive data discovery, classification, labeling, and privacy-aware controls across cloud and on-premises environments
Deeply understand customer use cases for compliance (e.g., GDPR, CCPA, HIPAA), data governance, insider threat protection, and data loss prevention
Drive innovations in content-aware and context-aware classification, including AI-driven techniques such as ML, NLP, and LLM-based models to accurately identify and categorize sensitive data
Evaluate and incorporate emerging technologies (e.g., generative AI and large language models) to enhance classification accuracy, scalability, and real-time data understanding
Work hands-on with UX designers, engineering, and research teams to design thoughtful, scalable solutions
Partner with internal stakeholders including Customer Success, Sales Engineering, and Professional Services to understand deployment challenges and inform roadmap priorities
Engage regularly with customers and prospects to gather feedback and validate product direction
Collaborate with marketing and sales teams to position, launch, and drive adoption of new features and products
Track and analyze product usage, customer feedback, and market trends to iterate on product strategy
Serve as a subject matter expert and thought leader both inside and outside the organization on data classification and privacy topics.

Support the marketing team with the planning and execution of fairs, info sessions, open houses etc.
Attend marketing events on and off campus and support recruitment efforts through in-person presentations and event participation.
Coordinate, attend and manage roundtable discussions with international students, including scheduling, communication and follow-ups.
Produce tailored marketing materials and content.
Collaborate with the Campus Life team to co-create marketing content that supports student engagement initiatives and boosts overall visibility of the RRIS.
Collaborate with regional desks (South Africa, France, and Latin America) to support region-specific events and content.

This is a junior-level position, suited for recent graduates or candidates with 1-2 years of relevant experience.