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We are looking for a motivated and experienced Senior Software Engineer to join our Cloud and K8s Group. The successful candidate will possess a strong technical background in low-level systems programming and will excel in developing performant, efficient, and reliable software across multiple operating systems. Expertise in C++ and deep knowledge of Linux, macOS, and Windows internals are essential for this role, as you will be instrumental in building and optimizing our agent.
Key Responsibilities:
Design, implement, and optimize low-level system software components and libraries with a focus on performance and efficiency.
Analyze and debug complex issues related to operating system internals (kernel, drivers, memory management) across Linux, macOS, and Windows platforms.
Develop networking capabilities and optimize networking stack interactions within software modules.
Write clean, maintainable, and well-tested C++ code, while mentoring and reviewing peers contributions.
Collaborate closely with infrastructure, security, and product teams to design scalable and secure systems.
Contribute to CI/CD pipelines and automation workflows to streamline build, test, and deployment processes.
Develop and maintain scripting tools (e.g., Python, Bash, PowerShell) to support development and operational tasks.
Stay up to date with emerging technologies in systems programming, cybersecurity, and networking to continuously improve our solutions.

We are looking for an experienced Machine Learning Engineer to build and scale production-grade ML solutions, primarily on large-scale tabular automotive data for quality and cybersecurity products. Youll help define the engineering standards that enable the Data Science team to deliver at scale, with opportunities to own selected ML features end-to-end.
Youll work with massive (often live-streaming) automotive datasets and real-world constraints around latency, CPU, memory, and I/O. This is a highly collaborative role, and youll partner closely with data science and data engineering teams. Youll be driving technical alignment through clear communication and mentoring others via design and code reviews.
This role is full-time and based in Herzliya, Israel.
Responsibilities
Act as the DS engineering axis: drive designs with focus on performance (I/O, CPU, memory, latency, cost).
Lead heavy ML engineering efforts when needed (optimization, scaling, reliability), while collaborating with other team members and supporting them in their ML-related projects.
Own selected ML features and projects end-to-end, including DS work (EDA, features, modeling, evaluation) plus production delivery, monitoring and iteration.
Build production tabular - ML components: training, batch/near-real-time scoring, inference services, and shared libraries.
Set standards and tooling for profiling and preventing performance regressions.
Partner with the data engineers on data / ML contracts (schemas, SLAs, formats/partitioning) between pipelines and ML components.
Raise the bar via mentoring, documentation, and a strong code/design review culture, in the Data Science team.

Required Senior Data Engineer
Join our core platform engineering team, developing our AI-powered automotive data management platform.
We are developing the next generation data-driven products for the Automotive industry, focusing on cybersecurity (XDR) and vehicle quality. Our products monitor and secure millions of vehicles worldwide and help automakers leverage connected vehicle data to deliver cyber resilience, safety, customer satisfaction and increase brand loyalty.
Our Data Engineering & Data Science Group leads the development of our Iceberg-based data platform, including data lake, query engine, and ML-Ops tools, serving as a solid AI-ready foundation for all our products.
At the core of our Engineering Team, you will build and operate scalable, production-grade customer-facing data and ML platform components, focusing on reliability and performance.
Technological background and focus: Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, dbt
This role is full-time and is Herzliya, Israel based.
Responsibilities
Design, build, and maintain scalable data pipelines to ingest and transform batch data on our data lake, enabling analytics and ML with strong data quality, governance, observability, and CI/CD.
Build and expand our foundational data infrastructure, including our data lake, analytics engine, and batch processing frameworks.
Create robust infrastructure to enable automated pipelines that will ingest and process data into our analytical platforms, leveraging open-source, cloud-agnostic frameworks and toolsets.
Develop and maintain our data lake layouts and architectures for efficient data access and advanced analytics.
Develop and manage orchestration tools, governance tools, data discovery tools, and more.
Work with other team members of the engineering group, including data scientists, data architects, and data analysts, to provide solutions using a use case-based approach that drives the construction of technical data flows.

A publicly traded defense-tech company specializing in the development of advanced software systems for the intelligence and border protection domains,
is hiring Backend Developer for a newly formed team
focused on modernizing classified intelligence systems.
Job Description:
End-to-end development of complex systems using cutting-edge technologies.
Backend development in Python, utilizing PostgreSQL.
Working in a Microservices environment, including some client-side development.
Close collaboration with system, integration, and product teams.

We are looking for a talented Business Development Representative (BDR) to join our team and help drive pipeline growth across our core solutions.
You will operate in the B2B/B2E automotive and smart mobility market, one of the fastest-growing segments in enterprise technology. The role involves prospecting into leading global automakers, tier-1 suppliers, IoT platform providers, and smart mobility companies. You will engage in complex enterprise sales cycles and work directly with senior stakeholders across cybersecurity, IT, quality, and AI organizations. You will also play a hands-on role in refining the outbound playbooks and processes that support scalable growth.
This role is full-time and is based in Herzliya, Israel.
The role follows a Monday-Friday work week with a hybrid schedule, three days in the office and two days remote. Flexibility to work North America (East Coast) hours is expected to support global prospects and customers as needed.
Responsibilities
Conduct outbound prospecting via multi touch point sequencing, including email, phone, LinkedIn, and other channels to generate qualified meetings for Sales executives
Engage and qualify inbound leads from marketing campaigns, ensuring timely follow-up and conversion into opportunities
Research and identify target accounts, key decision makers, and deep industry trends, spanning automotive OEMs, IoT, smart mobility companies, and tier-1 suppliers
Partner closely with Marketing, Sales executives, partners and alliances team, as well as Product and Customer Success teams to refine outreach strategies and improve conversion rates
Boost visibility and maintain accurate, up-to-date prospect interactions in Salesforce
Test and optimize messaging, outreach cadences, and engagement strategies based on performance data
Provide feedback on lead quality and collaborate with Marketing on campaign alignment
Be GenAI-savvy and willing to test and expand, in a controlled and responsible way, what can be achieved with AI tools.

Were looking for a Business Applications Systems Implementer to join our GTM Systems team.

Salesforce is the core platform in this role and it will focus on hands-on implementation, configuration, and continuous improvement across Salesforce and additional GTM business applications.

Youll work closely with our System Analysts which are partners with Sales, Marketing, SDR, Customer Success, Finance, Legal and R&D and help them translate business needs into scalable, well-designed system solutions.

What Youll Do
Implement, configure, and maintain Salesforce as our primary business application
Own end-to-end system implementations: requirements gathering, configuration, testing, and deployment
Configure and support additional GTM applications beyond Salesforce (e.g. Gong, Clay, DealHub, FormTitan - advantage)
Work closely with PMs and business stakeholders across Sales, Marketing, SDR, Customer Success and more
Provide day-to-day system support, enhancements, and optimizations
Improve and streamline workflows, processes, and system integrations
Ensure data quality, system stability, and scalability
Establish and follow best practices for release management, system maintenance, configuration, testing, and data integrity
Support ongoing adoption of business systems to ensure real business value and ROI
Use AI tools where relevant to improve system implementation, productivity, and processes
Curiosity and willingness to explore how AI can enhance business applications is highly valued

Were looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team.
This team plays a central role in shaping the direction of most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the companys core solutions.

The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.

What youll do

Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across core products.
Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.

A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more

What you'll do

Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

We are looking for an Experienced Big Data Engineer who loves solving complex problems at an extreme scale. In this role, you arent just building "internal pipelines"-you are developing the actual product our clients interact with. You will write high-performance code, optimize your own Spark processes for client freshness, and own features end-to-end. We need a "problem solver by nature, optimizer in their soul" who brings both technical depth and a great personality to a high-speed, deep technical team.

What youll do
Build Client-Facing Features: Design and implement high-scale product features for premium clients - from architecture to production deployment.
Performance Engineering: Optimize scalable data pipelines and distributed processes to meet strict client SLAs. Every millisecond of freshness matters.
System Integrity: Ensure uncompromising data accuracy and performance across massive, complex datasets.
Strategic Collaboration: Partner with upstream data providers, client-side teams, and Product Managers to turn raw events into production-grade features.

We need a VP Product who can be the GM's true partner on the build side. Not a roadmap manager. Not a feature prioritizer. A leader who owns outcomes across three products, makes hard calls with incomplete information, and ships things that change how the market works.

You'll lead a product team of Directors, Senior ICs, Designers, and Analysts. You'll partner with the VP R&D on what's possible and the VP GTM on what sells. You'll be in the room for every strategic decision and on calls with customers who are betting their business on what we build.

What You'll Do
Set product strategy across three products at radically different lifecycle stages - and make the resource trade-offs between them.
Lead the AI transformation - from "AI-powered features" to products customers can't imagine using without AI.
Turn product insight into commercial advantage - packaging, pricing, and positioning that wins deals.
Bridge the build and sell sides - make engineering understand the market and GTM understand the product.
Be close enough to customers that you know what they need before they ask for it.
Build and develop a team that can operate without you in the room.

As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

We develop event-driven systems and real-time APIs that are used widely across and are written mostly in Node.js, Go, and Python. Some of the technologies we work with include: Apache Kafka, K8S, managed AWS services (RDS, CloudFront, Athena, ElastiCache, etc), DataDog, and GraphQL.

What youll do

Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.

Were looking for a Senior Backend Engineer to help us evolve and scale our real-time incoming infrastructure. Youll solve high-throughput, low-latency challenges and craft APIs used by some of the largest mobile apps in the world.

What youll do
Design, build, and own real-time engagement services and APIs that are fast, reliable, and scalable.
Evaluating architectural trade-offs (e.g., consistency vs. availability) in a distributed environment.
Tackle complex problems in real-time, high-throughput systems using modern cloud-native tooling such as CDNs, WAF, Web Handlers, and Kafka
Lead API design and implementation across systems - with a strong focus on security, scale, performance, and reliability
Identify and resolve systemic bottlenecks that span multiple services or cloud regions.
Collaborate with Product Managers and Engineers to shape product direction and deliver customer value
Contribute to engineering excellence via code reviews, mentoring, and technical leadership
Continuously evaluate and integrate new technologies to keep our stack modern and efficient

Our efficiency-driven Backend Team develops and optimizes algorithms, enabling our solutions to handle large-scale data processing with impressive speed and low latency.
Join us in pushing the boundaries of fraud prevention and making a meaningful impact.

What youll do
Take full ownership of products and features, from initial design to final production, empowering you to have a tangible impact throughout the entire development process.
Thrive on solving diverse and complex problems at scale, even when faced with limited clarity on the optimal solution approach. Your ability to navigate and conquer such challenges will be highly valued.
Collaborate closely with Product Managers, Analysts, Data Scientists, and Software Engineers, working together to deliver exceptional value to our customers. Your contributions will directly contribute to shaping the success of our products.
Dive deep into the analysis and optimization of performance, scalability, and stability across our product portfolio, as well as the environments and tools supporting them. Your insights and improvements will have a significant impact on ensuring our technological excellence.
Embrace a continuous learning mindset, constantly exploring and evaluating new technologies. This commitment to innovation ensures that our products and systems remain at the forefront of the industry, effortlessly adapting to the ever-growing scale of our operations.
Elevate your impact by mentoring others, leading projects, and advocating for engineering best practices within your team. Your influence will extend beyond your own work, fostering a culture of growth and excellence.
Rise to the challenge of sharing your expertise with the wider tech community. Whether speaking at meetups/conferences, penning insightful blog posts, contributing to existing open-source projects, or releasing new open-source software, your voice will shape and inspire others.

Backend developers shape and improve our microservices architecture daily to provide the leading mobile analytics solution. To do this, we use cutting-edge technologies such as Clojure, Go, Kafka, Redis, BigQuery, GraphQL, SQL and NoSQL databases, in addition to hosted solutions that AWS and GCP have to offer and more

What youll do
Own and develop products and features end-to-end - from design to production
Solve diverse, complex problems at a large scale
Collaborate with Product Managers and Software Engineers to deliver value to customers
Analyze and improve performance, scalability and stability of AppsFlyers products, environments and tools
Continuously learn and evaluate new technologies in the everlasting effort to perfect our products and adapt to the ever-growing scale