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Were hiring our first Security Researcher to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.
Responsibilities
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

Were hiring our first Product Security Researcher (SOC & Incident Response) to join our newly formed Security Research function- a critical role for someone passionate about advancing real-world SOC operations with deep cybersecurity expertise.
We are building a world-class Security Research team that will power our advanced product with deep, actionable cybersecurity expertise. This team will serve as the Subject Matter Experts (SMEs) behind our triage and Incident Response platform, defining logic, contributing threat intelligence, building use-case coverage, and continuously optimizing detection and investigation workflows.
Youll collaborate closely with Product, Engineering, and Customer Success to ensure our Auto-Triage engine reflects the latest adversarial techniques and real-world SOC operations.
Responsibilities
Serve as a domain expert in SOC workflows, alert triage, and incident response.
Design and maintain triage logic, playbook blueprints, AI Agents and more for responding to security events.
Develop and maintain alert enrichment, correlation, and classification rules across multiple data sources (EDR, SIEM, Identity, etc.).
Collaborate with product teams to define use cases, threat coverage, and analyst workflows.
Analyze real-world alerts, telemetry, and incident data to enhance product accuracy, reduce false positives and improve incident handling.
Evaluate and curate threat intelligence feeds and sources to support automated decision-making.
Conduct post-incident reviews to extract lessons and update triage logic accordingly.
Stay current with emerging threats, attacker TTPs, MITRE ATT&CK, and other frameworks.
Assist with quality assurance, testing, and validation of triage logic before deployment.

We are looking for an experienced Senior Product Manager to join our fast-growing company and in a breakthrough stage where we build our dream team with the most passionate and professional people in the industry. We seek an experienced, curious, self-motivated product manager to join our team and lead our product management processes.
What Youll Be Doing
Become an expert in all product aspects (flows, features, infrastructures, and market).
Perform customer and market research and industry analysis to assess market need, size of the opportunity, and competitive landscape.
Analyze Customers' requirements as well as other stakeholders to define and prioritize the necessary capabilities/features.
Make critical and important decisions with respect to time, features, resources, and quality to meet the business objectives.
Work closely with engineering to define, develop, and launch new capabilities, features, flows, and products.
Our company and team spirit foster an environment that encourages taking initiative, being open to new ideas, and enjoying the ride!

We are looking for a Frontend Team Leader to guide and mentor a team of 3 talented frontend developers. You will drive the design and development of innovative, scalable, and secure user interfaces.
Responsibilities:
Lead, mentor, and grow a team of 3 frontend developers.
Provide technical and architectural guidance for Angular-based frontend applications.
Stay current with industry and UI/UX trends, driving the adoption of best practices and modern frameworks.
Actively contribute to development, ensuring code quality, performance, and scalability.
Collaborate closely with Product Management, Backend, QA, and global engineering teams.
Ensure adherence to engineering practices including unit testing, code reviews, and continuous integration.
Work with Support to troubleshoot and resolve customer-facing issues.
Contribute to technical design and documentation.
Assist in recruiting and onboarding new team members as the team grows.

As a Data Science Team Leader at our company, you will lead a high-performing team developing AI/ML solutions that secure the digital worlds most sensitive assets. Youll play a key role in driving innovation, productizing machine learning systems, and applying advanced modeling techniques to real-world cybersecurity challenges. In this leadership role, youll balance hands-on technical involvement with strategic oversight, guiding projects from research to production. Youll work closely with data scientists, engineers, analysts, product managers, and Cyber-Security researchers to build intelligent features across our copmpanys identity security portfolio.
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

Were looking for a Mobile Automation Engineer whos a genuine tech geek, creative thinker, and excellent at execution to join our engineering team. If you think about validation as craftsmanship, have satisfaction from delivering a high-quality product, have always dreamed of being part of building the next generation of Automation technology, and work with some of the top talents in the app economy industry, this is the place.
What you'll be doing
Write, execute, and maintain automated test scripts for functional, regression, and performance testing within CI/CD pipelines to enable continuous testing.
Work closely with developers, product managers, and manual QA engineers in a cross-functional Scrum team to define test strategies, improve testability, and ensure high product quality.
Investigate test failures, report defects, and continuously refine automation scripts to improve reliability and efficiency in detecting issues early in the development cycle.

Required Senior DevOps Engineer, Data Platform
The opportunity
Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
What you'll be doing
Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale.

We are looking for a talented and experienced R&D Platform Engineer to join our dynamic team. Our organization provides cutting-edge services utilized by both internal our company services and external customers. The ideal candidate will be responsible for defining and implementing best practices that can be shared across the company and working on edge technologies on the cloud. This position encompasses all stages of the Software Development Life Cycle (SDLC), including design, development, testing, and ensuring high ROI on deliverables.
Define and implement best practices for the R&D platform.
Collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
Work on edge technologies and cloud platforms to enhance our services.
Participate in all phases of the SDLC, including design, development, testing, and deployment.
Ensure high ROI on deliverables by optimizing processes and solutions.
Share knowledge and best practices across the company to promote a culture of continuous improvement.

We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.
This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.
What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

Required Senior Backend Developer
The opportunity
Join our team working on an advanced ad-serving platform that powers millions of real-time interactions every second. As a Senior Backend Developer, youll play a key role in designing, developing, and maintaining a high-performance system that supports critical functionalities like targeting, attribution, budget management, and data pipelines for machine learning and reporting.Youll be expected to lead impactful projects, drive improvements in performance, scalability, and system reliability, and help shape solutions that directly influence the success of a globally recognized platform. We value bottom-up initiatives and encourage team members to bring their ideas to the table, fostering innovation and collaboration.
Why You'll Love This Role:
Take ownership of major projects and core features with significant business impact.
Work alongside skilled engineers in a fast-paced, high-scale environment.
Tackle challenging technical problems using cutting-edge tools like Kafka and Aerospike.
What you'll be doing
Design, develop, and monitor new features for the platform, including components supporting targeting, attribution, and budget management.
Maintain and optimize the performance of critical backend systems.
Refactor and improve legacy code to ensure scalability and efficiency.
Lead efforts to guarantee system reliability and low latency in a high-concurrency environment.
Collaborate with peers and across teams to deliver high-quality, production-ready solutions.

Required DevOps Tech Lead
The opportunity
As our DevOps Activity Leader, you will join our R&D leadership team to set the technical vision for our infrastructure. Working alongside our Data/ML, Mobile, and Backend leaders, you will play a key role in shaping our company's overall technical strategy.
Your expertise will transform our infrastructure and deployment. You'll design scalable cloud architectures to accelerate innovation, champion a world-class DevOps culture to empower developers, and build the foundation for our future growth.
Strategic Impact: A direct line of sight between your work and key business outcomes, with influence on strategic technical decisions across the entire business unit.
Technical Leadership: Shape the future of our infrastructure and own the architectural roadmap for our cloud and deployment ecosystem.
Innovation Playground: Experiment with emerging technologies and implement solutions at scale in a collaborative, forward-thinking environment.
Technology Breadth: Work across the full DevOps spectrum from Infrastructure as Code and Kubernetes to DataOps and developer productivity tools.
Growth Trajectory: A clear path for career advancement as you demonstrate success and grow your leadership scope.
What you'll be doing
Lead Technical Strategy: Define the technical vision and roadmap for our DevOps and Production Engineering capabilities, aligning multiple teams around common patterns, tools, and practices.
Design Cloud-Native Solutions: Architect and implement secure, scalable cloud infrastructure using Kubernetes, IaC, and other modern frameworks to power our growing technology ecosystem.
Accelerate Developer Experience: Spearhead improvements to our CI/CD pipelines, developer portals, and internal platforms to empower engineering teams to ship higher-quality software, faster.
Optimize Data Infrastructure: Engineer and support robust platforms for our data-intensive workloads, ensuring the performance, reliability, and cost-effectiveness of systems leveraging technologies like Kafka.
Drive DevOps Transformation: Mentor team members, lead the Production Engineering & DevOps Infra function, and collaborate with fellow R&D leaders to champion modern practices across the organization.

We're searching for an exceptional and passionate Android Team Lead to guide our talented developers in a fast-paced environment.
Our goal is to create a content discovery platform that reaches millions of users daily, offering unique and effortless ways for them to find their favorite content. We're constantly using the latest Android technologies to build a scalable product that's growing fast.
This is an exciting chance for someone who wants to make a real impact on a challenging product with a huge audience, all while leading and mentoring a skilled team. We highly value leaders who champion technical excellence, encourage ownership, and know how to pick the right tools for the job.
What you'll be doing
Lead and grow an Android development team: You'll guide, mentor, and manage one of our Android development teams, building a strong culture of teamwork and constant improvement.
Drive architectural design: You'll lead the design and development of complex features, making sure the team produces clean, scalable, and high-quality code.
Oversee the full development cycle: This means you'll be in charge of the team's Android development efforts from start to finish, including design, actual coding, testing, and getting the product out to users.
Work closely with other teams: You'll team up with product managers, architects, DevOps, BI Engineers, and business teams to plan and carry out our clear product roadmap.
Ensure code quality: You'll regularly review code, giving helpful feedback to ensure our team sticks to best practices and high standards.
Keep us at the cutting edge: You'll stay on top of the newest trends in Android development, guiding the team to use innovative solutions and best practices that make our product better and our work more efficient.
Manage project delivery: You'll handle project schedules, resources, and priorities to make sure we hit our product milestones on time.
Boost communication: You'll make sure information and knowledge are shared effectively within your team and with other departments.

Required Senior Data Analyst, Data Science Team
The opportunity
Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights.