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We are looking for an experienced Back End Tech lead, to further develop the platform. You will join one of our Fullstack teams and help the teams build a product that customers love and use on a daily basis, a product that is fun to use, fast, reliable and scalable. The product has a broad amount of features and serves more than 1.5M active users, leading to many product and engineering challenges.
A Tech Lead is a hands-on engineer who leads by example, bridges the gap between strategy and execution, and strengthens the effectiveness of their team. This role is distinct from that of a Senior Developer through a clear set of responsibilities that focus not just on individual excellence but on team-level technical leadership, decision-making, and operational maturity.
Key Responsibilities;
Lead complex projects, own technical roadmap and architecture decisions
Actively contribute high-quality code to critical areas, set standards for the team
Drive tech standards, lead testing coverage, monitor KPIs, ensure excellence before shipping
Own platform stability, lead major incidents, drive root cause analysis and action items
Coach team through code reviews, technical sessions, and content; be the go-to technical expert
Lead the teams technical roadmap
Conduct technical interviews, run onboarding, represent team in cross-functional forums

we are looking for an experienced Data Analyst to work with us to drive insights and create stronger visibility in the organization. You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic environment.
Key Responsibilities:
The role is focused on the marketing domain, working closely with growth, performance marketing, and user acquisition teams.
You will analyze marketing funnels, campaign performance, and attribution models to optimize ROI and drive scalable growth.
This position requires a strong understanding of marketing metrics (CAC, LTV, conversion rates) and the ability to translate data into actionable marketing insights.
Build Specialization-specific operational dashboards.
Develop an analytics framework in collaboration with business process improvement and operations management.
Quarterly planning and roadmapping in collaboration with operations management and product team.
Write monthly Specialization-specific performance reports; written reports should show methodology with detailed statistical analysis, a summary of key findings, and recommendations.
Incubate, operationalize, and streamline Product launches; including Friction Optimization to improve user experience.

Were looking for a highly skilled Technical Support Engineer to lead the charge in troubleshooting complex technical issues, ensuring exceptional customer satisfaction, and providing strategic solutions. Youll play a key role in documenting solutions, escalating critical cases, and leveraging your cloud expertise to deliver unparalleled support and build strong, lasting relationships with our customers.
Responsibilities:
Provide accurate and timely support via Slack, chat, or email to troubleshoot and resolve customer issues.
Diagnose and resolve technical problems, escalating complex issues to R&D or Product when needed.
Build strong relationships, educate customers on product features, and maintain a professional, supportive tone.
Create and update support documentation while logging all interactions in the support system.
Enhance skills through ongoing training to maintain technical excellence and deliver top-tier support.

we are seeking a skilled and experienced DevOps Engineer to design, plan and implement scalable, reliable and robust system infrastructure to support the companys rapid business and traffic growth.
You will join an innovative, high-performance team and work with cutting-edge technologies in a dynamic and agile environment.
What you'll be doing:
You will take an active part in the challenge of managing a highly available and fault tolerant production environment.
You will assist in identifying and resolving performance concerns and operational bottlenecks, debug complex pitfalls and advise on system architecture solutions.
You will build, design and maintain self-serve devex tools to increase development velocity and satisfaction.
You will push and impact our systems to be more cost effective, performant and simple to use and extend.

Were looking for a highly skilled Technical Support Team Leader
to lead the charge in troubleshooting complex technical issues, ensuring exceptional customer satisfaction, and providing strategic solutions. Youll play a key role in documenting solutions, escalating critical cases, and leveraging your cloud expertise to deliver unparalleled support and build strong, lasting relationships with our customers.
Responsibilities:
Lead and mentor team members, provide guidance on complex cases, help prioritize workloads, and contribute to continuous improvement of support processes.
Provide accurate and timely support via Slack, chat, or email to troubleshoot and resolve customer issues.
Diagnose and resolve technical problems, escalating complex issues to R&D or Product when needed.
Build strong relationships, educate customers on product features, and maintain a professional, supportive tone.
Create and update support documentation while logging all interactions in the support system.
Enhance skills through ongoing training to maintain technical excellence and deliver top-tier support.

We are looking for a Senior Release Manager with 5+ years of experience to own the orchestration of our software delivery lifecycle in the cloud native domain.
In this role, you will move beyond traditional coordination to build automated, high-integrity deployment highways.
You will leverage GitOps principles to ensure our cloud-native applications are delivered with speed, safety, and auditability across multiple environments.
As a Release Manager, you will drive the end-to-end release lifecycle, ensuring alignment among teams and stakeholders. You will track and monitor release tasks across Development, QA, DevOps, and Documentation, acting as the central contact for milestone tracking and updates using tools like Slack, JIRA, and GitHub. Identifying and escalating delays, risks, or blockers for timely resolution is crucial to your role.
You will manage dependencies, resolving or escalating gaps to ensure smooth integration of incremental feature development into the main branch. Monitoring feature milestones and readiness for QA, you will communicate intermediate deliverables and coordinate the verification of deliverables merged into GitHub, with JIRA tickets linked to PRs. Ensuring successful CI/CD pipeline completion and system tests, you will escalate issues as needed and facilitate the timely creation and release of builds to QA, ensuring testing readiness.
By overseeing feature verification progress using JIRA dashboards, you will facilitate bug screening with QA, Development, Product, and Architecture teams. Executing security scans and managing vulnerabilities for compliance and release readiness are essential tasks. You will maintain and enforce compliance with predefined release criteria, compiling and reviewing release communications with stakeholders to ensure everyone is informed and aligned.
In this role, your ability to manage multiple moving parts and communicate effectively across teams will be key to ensuring successful and timely releases.
Your role orchestrates cross-functional activities to ensure smooth progression through all release milestones, from kickoff to General Availability (GA).
Your position is reporting to the Director of Operations, and working in close collaboration with Product Managers, R&D Team Leads and developers (QA, DevOps, Dev. Teams).

Were looking for a highly technical and creative Security Researcher to join our research group. This role is central to navigating complex security landscapes, advancing our CNAPP offerings, crafting sophisticated algorithms, and pioneering cloud security research. Working alongside a diverse team, youll explore the cutting edge of cloud and AI-driven security, uncovering critical vulnerabilities, developing novel detection techniques, and driving impactful research publications. Join us in shaping the future of cloud security, where your work not only advances our technology but also deeply resonates with our commitment to exceeding customer expectations, streamlining for simplicity, and tackling challenges with creative solutions.
Responsibilities:
Collaborate with teams across the organization, including Product, Frontend, DevOps, and GTM, to develop and integrate top-tier features.
Conduct deep technical research into cloud-native environments.
Lead initiatives from their inception through to deployment, emphasizing backend system efficiency, scalability, and reliability.
Innovate in Defense Evasion, amplifying the capabilities of our agents and engines.
Forge new paths in cloud security research and cyber security algorithm development.
Deep dive into threat detection and product content that provide deep insights and added value to our customers.

If you are looking for a challenging role that includes sales, products, business development and a chance to upward growth into management?
Then look no further!
As the the first point of contact with our customers, you will have direct influence on our development and expansion! , the sky's the limit!
Become a product expert and an expert in consulting businesses from a wide variety of industries! With all these important insights you will become the link between the product, the market and all departments !
This position is for superstars who are looking to become involved in the customers journey, sales process, customer success, product teams.
The perfect candidate will be able to grow within the company while deepening their knowledge and experience about the market and its needs in relation to our life changing product!
As an Account Executive your role includes managing your own account pipeline, contributing to the teams pipeline and becoming a valuable part of the product team.
What you'll be doing:
You will become a product expert!
The Account Executive position is a quota-carrying position; you will own the full sales cycle
Be the companys eyes - No one in the company knows our clients better than the Sales team
Influence the product in the light of client demands and needs
Cross department involvement and information sharing
Initiative independence and ownership

We are looking for a strategic leader to evolve our Threat team into a comprehensive Deep Research Group
As the Head of Research, you will lead innovation across AI Security, Threat Intelligence, and Intelligence, transforming raw research into core platform differentiators. This is a pivotal leadership position responsible for delivering high-signal content and product-impacting discoveries that will directly influence our expansion into the enterprise market.
What You Will Build:
Deep Research Strategy:
You will oversee the creation of next-generation security modules derived from our unique runtime data, transforming raw telemetry into actionable defense mechanisms and automated workflows
Premium Intelligence:
You will drive the development of unique intellectual property and detection capabilities that allow us to launch differentiated, premium service offerings.
Market Impact:
Your group's research will serve as a growth engine, powering our PR, community credibility, and enterprise readiness for high-stakes environments.
Responsibilities:
Organizational Leadership:
Lead, mentor, and scale a diverse group, including the Threat Research Team, Offensive Research Team, AI Research & Innovation Team, and OSINT/Vulnerability squads
Strategic Delivery:
Oversee the lifecycle of major research initiatives, from initial discovery to full productization, ensuring deep technical findings are translated into user-facing value.
Proactive Hunting:
Drive a proactive hunting strategy, utilizing external scanning and internal signals to uncover emerging campaigns and validate novel threats before they become widespread.
Cross-Functional AI Integration:
Collaborate with the AI Lead and Engineering to integrate proprietary intel into our detection models and strengthen our AI-driven security architecture.

We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build:
Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities:
Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.

We are seeking a detail-oriented and highly technical Data Operations Specialist to join our Data Operations team for an 6- month maternity leave cover. In this role, you will be responsible for annotating various events on our distinct fiber sensing data, and managing datasets to support various products and projects. You will play a crucial part in ensuring the quality and integrity of our data, contributing to multiple critical initiatives. You will help improve our annotation procedures, techniques, and tooling; and work closely with ML and Algo teams as well as Data Engineering.
This is a unique opportunity to gain hands-on experience in data operations within a dynamic environment using cutting edge and novel technology. You will join a talented team dedicated to leveraging data for impactful projects. If you are passionate about data and eager to contribute to exciting challenges, this might be the perfect opportunity for you.
What Youll Do:
Data Annotation - Accurately annotate datasets using internal tools, adhering to annotation guidelines and maintaining high standards for consistency and quality.
Tool Maintenance - Help maintain team tools, such as annotation tools and automated processes, using Python and Gen AI.
Quality Assurance - Review and validate annotated data to ensure accuracy and consistency, identify discrepancies, and suggest solutions to improve processes.
Continuous Improvement - Participate in the continuous improvement of our tools and data operations processes to achieve more accurate models, and more streamlined data flow between the different teams in the company.
Data Management - Support the ongoing maintenance of annotated datasets, ensuring data integrity and accessibility, and implementing best-practices to create seamless data flows.

we are looking for a Director of AI.
The Director of AI will lead the companys AI organization, including algorithm development teams, embedded algorithm engineers within product squads, and the Data Operations team.
This role combines strategic leadership with execution ownership, driving the development, deployment, and continuous improvement of AI-powered products across power transmission, border security, and critical infrastructure monitoring.
The Director of AI is accountable not only for algorithm innovation, but also for ensuring successful production deployment and measurable customer impact. This leader will establish a customer-first culture across the organization, aligning AI development priorities with customer needs, product objectives, and business outcomes.
The ideal candidate is a visionary yet execution-oriented leader who can bridge cutting-edge AI research with scalable production systems, build high-performing teams, and deliver measurable customer value.
Success in this role will be measured not only by algorithm performance, but by the ability to deliver AI capabilities into production and generate measurable value to our customers.
What Youll Do:
Lead the AI group, including algorithm development teams, embedded algorithm engineers, and data operations.
Build and mentor high-performing teams, fostering a culture of ownership, collaboration, continuous improvement, and customer focus.
Define and execute the AI roadmap in alignment with company strategy, customer needs, and product objectives.
Lead the development and deployment of AI, Machine Learning, Deep Learning, and Signal Processing solutions.
Own the full AI lifecycle, from research and experimentation through production deployment, monitoring, and continuous optimization.
Lead the Data Operations function, ensuring efficient annotation, labeling, and quality processes that support AI development.
Partner closely with Product, Engineering, and business leaders to maximize AI impact across the organization.
Engage with customers and stakeholders to understand challenges, identify opportunities, and drive measurable business value.
Communicate AI strategy, progress, opportunities, and risks to executive leadership.
Contribute to company strategy, product direction, and technology leadership.

We are looking for a hands-on AI Engineer to help build our core intelligence engine and infrastructure. In this role, you will work on exploring and building autonomous solutions that execute security workflows end-to-end, moving capabilities from research concepts to scalable production features.
What You Will Build:
Internal AI Infrastructure: Contribute to a shared internal AI platform for models, data, training, and observability.
Autonomous Capabilities: Build solutions that automate complex security operations and investigative workflows.
Active Defense Mechanisms: Help productize runtime guardrails into customer-facing protective controls and monitoring systems.
Responsibilities:
Develop and implement the engineering backend for AI-driven security features.
Build and maintain the internal mechanisms that allow for safe and scalable AI feature deployment.
Collaborate with AI Researchers to translate findings into production-grade autonomous workflows.
Implement runtime guardrails and AI-focused data security capabilities.

We are looking for a talented, self-driven, and hands-on DSP Researcher to join R&D team.
In this role, you will research and develop next-generation distributed fiber-optic sensing technologies, focusing on signal processing, system modeling, simulations, and experimental validation. Working at the intersection of physics, electro-optics, fiber-optic sensing, and DSP, you will transform complex physical phenomena into robust sensing solutions for real-world applications.
You will tackle challenging physical and algorithmic problems, contribute to cutting-edge sensing products, and collaborate closely with multidisciplinary R&D teams.
This role is ideal for someone who thrives in a fast-paced environment, enjoys working across disciplines, and is excited to take ideas from research and lab validation to large-scale deployment.
What Youll Do:
Conduct experimental and theoretical R&D for next-generation distributed fiber-optic acoustic sensing systems.
Develop, implement, and validate DSP algorithms for coherent optical sensing systems.
Build end-to-end expertise across the full sensing pipeline, including optical signal generation and propagation, coherent detection, signal acquisition, DSP, and advanced data analysis.
Design and run laboratory experiments to validate new concepts, improve system performance, and support current and future product generations.
Develop simulations, models, and analysis tools using Python and/or C++ for lab experiments, field data analysis, signal processing, and system-level performance evaluation.
Work with field experiment data to identify performance gaps, validate models, and improve sensing capabilities.
Collaborate with R&D teams across disciplines to develop, validate, and integrate new sensing capabilities.
Communicate complex technical concepts clearly to both technical and non-technical stakeholders.