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We are seeking a highly motivated AI Solutions Engineer to join a team leading the evaluation, adoption, and integration of AI-based tools into our development processes.
This role involves identifying opportunities to enhance workflows through AI, implementing internal tools that leverage AI capabilities, and collaborating with cross-functional teams to ensure seamless integration and usability.
Responsibilities:
Lead end-to-end AI initiatives from ideation to production
Design and deploy AI agents, automations, and data-driven solutions
Partner with business and engineering teams to deliver impactful use casesDrive prioritization based on business value and strategic impact
Define KPIs and monitoring to track performance, adoption, and ROI
Provide insights to leadership and lead cross-functional efforts in a matrix environment
Lead technical AI sessions, workshops, and internal enablement programs to drive adoption and upskill teams.

Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to integrate data from diverse sources, optimizing for performance and cost efficiency.
Leverage Databricks and other modern data platforms to manage, transform, and process data
Collaborate with software teams to understand data needs and ensure data solutions meet business requirements.
Optimize data processing workflows for performance and scalability.

Responsibilities  
Research for new security issues/vulnerabilities in Cloud Environments & SaaS Applications.
Write proof-of-concept, threat detections, and analytical algorithms.
Analyze logs and behavior of user activities on Cloud Environments & SaaS Applications.
Hunt threat actors & insider threats.
Conduct advanced vulnerability research to deepen platforms understanding, strengthen product security, and responsibly share knowledge with the security community.
Collaboration with R&D groups within the company to implement your latest research.
Evaluate and recommend steps to harden customer's Cloud Environments & SaaS Applications.
Optimizing existing algorithms to reduce false positives and increase the value of our products.
Writing cyber security-oriented blogs and publications.
Follow and evaluate new security threats, attack vectors, and technologies.

We are looking for a DevOps & infrastructure Engineer to join our Labs team. A successful candidate will join a team of highly skilled professionals and engage with the Engineering groups activities and goals.
Responsibilities
Build, maintain, and operate on‑prem and cloud infrastructures serving internal labs and R&D related environments.
Deploy and support simulation environments that mirror customer environments using technologies such as VMware, EMC, NetApp, Tanzu Kubernetes Grid (TKG), and VRA
Work with Kubernetes (K8s) to support containerized workloads and internal engineering use cases.
Manage cloud infrastructures across AWS, GCP, and Azure for various development needs, including running POCs, simulating environments, and overseeing license and budget management.
Develop automation tools and scripts using PowerShell or other scripting languages to streamline internal processes and improve operational efficiency.
Enhance Developer Experience by building internal tools, improving development workflows, and exposing capabilities that accelerate engineering productivity.
Collaborate closely with multiple stakeholders, including development teams, support, and product managers, to ensure infrastructure meets evolving business and technical requirements.

Were looking for a Product Manager to join the DLP team and help build a next‑generation Data security platform.
Youll own product areas end‑to‑end and turn real customer problems into impactful solutions.
Responsibilities
Own the full product lifecycle (discovery → delivery → adoption)
Translate customer needs into clear product requirements
Collaborate with engineering, design, sales, support, marketing, and cross‑product teams
Balance security effectiveness, UX, and performance.

We are looking for an experienced Product Manager to join our Product team, responsible for owning and evolving core SaaS and Web platform capabilities with strong security and data foundations.
This role focuses on end‑to‑end ownership of UI‑driven B2B products, close collaboration with engineering and cross‑functional teams, and delivering intuitive, high‑quality experiences that balance usability, data insights, and enterprise‑grade security requirements.

Responsibilities
Operational Strategy & Execution
Drive the execution of operational strategies that support efficient product development, delivery, and alignment with business priorities.
Process Optimization & Continuous Improvement
Identify, analyze, and continuously improve product workflows, fostering a culture of operational excellence, scalability, and innovation.
AI, Automation & Tooling
Identify opportunities to leverage AI, automation, and emerging workflows to improve Product operations. Own the Product Management tool stack end-to-end (e.g., Azure DevOps, Salesforce, internal systems), evolving tools, integrations, and workflows to drive measurable impact.
Cross-functional Leadership & Project Delivery
Partner with Product, Engineering, and cross-functional stakeholders at all levels to lead and deliver initiatives end-to-end, ensuring alignment, transparency, and timely execution.
Insights, Metrics & Decision Support
Define and track KPIs, and collect and analyze data to generate actionable insights that improve product performance and inform decision-making.
Operational Governance & Adoption
Drive adoption of Product Operations standards, frameworks, and best practices across the organization.
Prioritization & Planning
Own and evolve planning and prioritization frameworks to ensure focus, alignment, and effective resource allocation.
Customer Commitments & Deal Support
Support customer-driven commitments and deal acceleration processes, ensuring Product is set up to deliver on high-impact opportunities.

Data has never been more valuable, and more vulnerable. As cyber threats evolve and regulations tighten, organizations struggle to answer one key question: Is my data secure?
At our company, we take a different approach: we protect data from the inside out. Our fully autonomous Data Security Platform enables organizations to continuously reduce risk through intelligent automation, not manual effort.
Were looking for an experienced R&D Group Leader to lead the Remediation domain, owning the systems that actually fix risk at scale, from policy definition to automated execution across customer environments.
This role sits at the heart of our companys value: turning insights into real, safe, automated actions that reduce exposure across enterprise data.
We work in a flexible, hybrid model.
What Youll Do
Leadership & Ownership
Lead and grow a group of engineers responsible for Data Lifecycle Automation (DLA), policies framework, and remediation automations
Own delivery, quality, and operational excellence of production systems running at scale
Define technical direction aligned with product and business goals
Product & Impact
Drive development of customer-facing remediation capabilities (e.g., permissions cleanup, stale access removal, exposure reduction)
Partner closely with Product, Security, and Customer Success to maximize real-world risk reduction outcomes
Translate complex security problems into scalable, automated solutions
Architecture & Systems
Own the design of distributed, highly scalable microservices handling policy evaluation, recommendation generation, and action execution
Ensure high reliability for real-time / near-real-time remediation flows
Drive best practices across CI/CD, observability, testing, and system resiliency
Enhance the execution of dev velocity and efficiency of leveraging AI agents.
Execution & Scale
Manage full lifecycle: ideation → design → production → customer impact
Balance innovation with operational stability in a fast-moving SaaS environment
Lead cross-team initiatives across Platform, access, Privacy, and AI domains
People Leadership
Mentor managers and senior engineers
Build a strong engineering culture focused on ownership, quality, and impact
Recruit and develop top-tier talent.

We are looking for an experienced IT Manager with 10+ years of expertise, strong customer service orientation, and a broad understanding of IT domains. The ideal candidate will have deep knowledge of cloud services and automation.
Responsibilities
Lead and manage a team of 4 professionals.
Build, maintain, and operate on-prem and cloud infrastructure supporting internal labs and engineering/product needs.
Design and manage environments simulating customer setups using diverse technologies:
Thousands of VMware-based virtual machines (primarily Windows, some Linux).
Storage systems such as NetApp, EMC, and others.
VRA environments.
Tanzu Kubernetes Grid (TKG) infrastructure.
Additional technologies as required.
Co-manage cloud-based infrastructure (AWS, GCP, Azure) for development purposes, including POCs and environment simulations.
Monitor budgets and expenses.
Support development and product teams.
Manage licenses.
Administer M365 tenants for lab purposes.
Develop automation scripts using PowerShell or other scripting languages.
Collaborate with multiple internal teams - development, support, and product management - to address ongoing needs.

As organizations rapidly adopt AI assistants, copilots, agents, and autonomous workflows, they face new risks that traditional security tools cant address. we are building the industrys first fully autonomous Data Security Platform and defining the emerging category of AI Security. Were looking for an exceptional Product Manager to help build the next generation of AI Security products - identifying emerging challenges, shaping product strategy in a rapidly evolving market, and working with customers, CISOs, engineers, researchers, and executives to guide how enterprises securely adopt AI at scale.
If youre passionate about AI and experienced in building security products, this is your chance to influence a category thats only beginning to take shape.
How We Build Products
Our team operates differently:
Customer obsessed, not customer informed
Think in bets, not specs
Say no to protect yes
Urgency as default - fail fast, iterate
Own the interfaces
Be a product builder, not a roadmap manager
Responsibilities
Define and own product vision, strategy, and roadmap for AI Security
Drive products from concept through launch and adoption
Partner with engineering, data science, security research, and design
Work directly with customers, CISOs, analysts, and industry leaders
Translate customer needs, risks, and market insights into differentiated capabilities
Evaluate emerging AI technologies and turn innovation into customer value
Influence product and company strategy in a fast‑growing cybersecurity domain.

We are looking for a Senior Product Manager to lead this evolution - building scalable, accurate, and context-aware classification capabilities.
At our company, we protect data from the inside out - helping organizations understand where sensitive data exists, who can access it, and how it is used.
Data classification is at the core of this mission. It is evolving from traditional detection into a more advanced, AI-driven capability that enables deeper understanding across structured and unstructured data.
Responsibilities
Own the product lifecycle end-to-end: strategy, roadmap, delivery, and launch
Define and drive the vision for data classification and data understanding
Gather and prioritize requirements through customer and market insights
Work closely with Engineering, Data Science, Sales, and other stakeholders
Focus areas
Evolve classification from pattern-based detection to AI-enhanced capabilities
Balance accuracy, performance, scalability, cost, and privacy
Translate complex data behavior into simple, usable product features
Improve classification quality and coverage across large-scale environments.

our company MDR delivers 24x7x365 managed detection and response services, protecting customer data through advanced detection, investigation, and response at scale.
We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.