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Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work. Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system. With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline. Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected. ?About the Role We are looking for an exceptional AI Engineer to join our new AI Department, as we are building an AI-driven future at Appdome. This is a unique opportunity to work in a startup environment within a growing company, where you’ll take ownership of AI and ML initiatives, build cutting-edge solutions, and influence the direction of our AI products. The role has strong leadership potential and is suited for individuals who are passionate about solving complex problems and making a real impact.
?What You’ll Do
* Research, design, and implement LLM-based products and infrastructure.
* Collaborate with data scientists, data engineers, product teams, and backend engineers to integrate AI solutions into products.
* Take full ownership of AI engineering pipelines from experimentation to production.
* Utilize cloud-based AI deployment strategies, particularly within AWS.
* Develop and maintain high-quality, scalable, and efficient code.

Appdome’s mission is to protect every mobile app in the world and the people who use mobile apps in their lives and at work.
Appdome provides mobile brands with the only patented, centralized, data-driven Mobile Cyber Defense Automation platform, delivering rapid no-code, no-SDK mobile app security, anti-fraud, anti-malware, anti-cheat, anti-bot implementations, configuration as code ease, Threat-Events™ threat-aware UI/UX control, ThreatScope™ Mobile XDR, and Certified Secure™ DevSecOps Certification in one integrated system.
With Appdome, mobile developers, cyber and fraud teams can accelerate delivery, guarantee compliance, and leverage automation to build, test, release, and monitor the full range of cyber, anti-fraud, and other defenses needed in mobile apps from inside mobile DevOps and CI/CD pipeline.
Leading financial, healthcare, m-commerce, consumer, and B2B brands use Appdome to upgrade mobile DevSecOps and protect Android & iOS apps, mobile customers, and mobile businesses globally. Today, Appdome's customers use their platform to secure over 50,000+ mobile apps with protection of over 1B mobile end users projected.
We are seeking a driven and results-oriented Account Executive to join our team. In this role, you will focus on acquiring new customers, building trusted relationships, and driving revenue growth by understanding prospects’ mobile business and security objectives and aligning them with our solutions.
The ideal candidate is a proactive communicator with strong interpersonal skills and a solid technical foundation. You excel at managing complex enterprise sales cycles and thrive in a dynamic environment that demands collaboration across teams and effective engagement with stakeholders via phone, email, and in-person interactions. About The Position We are looking for a talented Mobile Fraud Engine to join Appdome. In this role, you will develop sophisticated fraud detection and prevention components that operate at the core of our mobile threat intelligence platform — diving into signal processing, risk evaluation logic, and real-time decision-making, and translating your findings into robust, production-ready code. This position is ideal for developers who want to understand how fraud happens and use that knowledge to build innovative solutions that protect millions of mobile applications worldwide. Job Description
* Design, develop, and maintain core fraud detection and risk-scoring components within mobile apps.
* Investigate fraud patterns and mobile threat signals to develop innovative detection and prevention mechanisms.
* Own the collection of threat and device signals used by risk assessment algorithms to perform device and user behavioral profiling.
* Design systems that make split-second decisions, balancing security accuracy with user experience.
* Continuously explore emerging fraud trends and incorporate new detection techniques into our product.
* Collaborate with a multidisciplinary team of engineers, data scientists, and security experts to deliver end-to-end solutions.

We are looking for a Senior AI Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

We are seeking a highly skilled and motivated Electrical Validation (EV) Engineer and System Production/Testing/ATE Engineer to join our team. This position is crucial in supporting the design EV, development, and implementation of Automated Test Equipment (ATE) and production test systems.
The Electrical Validation Manager leads the electrical validation function across our company hardware platforms. This role owns validation strategy, methodology, lab infrastructure, and execution across all high-speed and control interfaces. The manager ensures robust electrical performance from early prototypes through production release and drives cross-functional alignment between design, SI, firmware, and manufacturing.
The role involves close collaboration with R&D, Quality, DevOps, and Contract Manufacturing (CM) teams to ensure the delivery of high-quality, reliable products.
Key Responsibilities
Define the electrical validation strategy for our company hardware platforms.
Own validation methodology for: High-speed Ethernet (100M-1600G), PCIe Gen1 to Gen5+, SerDes architectures (NRZ/PAM4), Control and management buses (I2C, SPI, RS-232, MDIO, etc.)
Establish structured validation plans aligned with hardware release milestones.
Build and manage a high-performance validation team.
Define lab architecture including: Equipment selection (oscilloscopes, BERTs, analyzers), Compliance platforms, Automation frameworks, Signal integrity validation environments
Drive early engagement with board design and SI teams to ensure design-for-validation.
Oversee: Compliance (IEEE, PCI-SIG, OIF), Interoperability testing, Stress and margin testing
Lead root cause analysis of electrical failures and systemic issues.
Support NPI, manufacturing bring-up, and yield improvement.
Develop automation and scalable validation methodologies.
Define validation documentation standards and sign-off criteria.
Collaborate with system architecture and software teams to ensure HW-SW integration robustness.
Manage external labs and certification processes where required.
Drive continuous improvement of validation coverage and efficiency.
Lead the full ATE development lifecycle from requirements definition to execution in production, including GUI design and Python scripting.
Develop and maintain boundary scan applications using JTAG Technologies.
Define and maintain test fixtures, including JIGs/Bed-of-Nails, etc. in collaboration with mechanical vendors.
Implement full test traceability systems for production yield and stability monitoring.
Collaborate with R&D and Quality teams to drive product quality and reliability improvements.
Provide onsite support at CM sites, including station setup, installation, training, maintenance, and debugging.
Perform in-depth failure analysis and troubleshooting at the system and component level.
Utilize and maintain a range of test equipment, including:
Work with various communication protocols: TCP/IP, Telnet, SSH, HTTP, SNMP, SFTP, SCP, FTP, RS232, GPIB, I2C, NI-VISA.
Support testing of embedded systems running on Linux platforms.

Required senior Product Manager (secure cloud access)
company description
about us:
We are the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. Our ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
the secure cloud access Product Manager (sca pm) is responsible for defining and driving the strategy and roadmap for our secure cloud access capabilities across aws, azure, and gcp. this role focuses on enabling secure zero-standing-privilege access to cloud consoles and cloud-native services, while aligning identity, access, and session controls across the identity security platform. the sca pm works at the intersection of cloud security, identity and access management (iam), and modern cloud architecture, leading cross-product and cross-service initiatives that span cloud providers, and our portfolio integrations. the role requires strong technical depth in cloud iam models and architectures, combined with high-level communication skills to align stakeholders across product, engineering, security, and go-to-market teams.
key responsibilities (short)
own aspects of the product vision and roadmap for secure cloud access across aws, azure, and gcp. define secure access patterns based on least privilege and zero standing privileges for cloud infrastructure and cloud-native workloads. act as a subject-matter expert on cloud iam architectures, roles, policies, and organizational hierarchies across major cloud providers. lead cross-product and cross-service initiatives that align with broader identity, pam, and session capabilities. clearly communicate complex cloud security concepts to technical and non-technical stakeholders.
key responsibilities:
define and execute the roadmap, focusing on discovery and secure, scalable access to cloud consoles, clis, apis, and kubernetes clusters across aws, azure, gcp. own requirements and design considerations related to discovery, including roles, policies, permissions boundaries, resource hierarchies, and identity federation models across csps. drive kubernetes access strategy, including authentication, authorization (rbac), cluster access patterns, and integration with cloud iam and identity providers. lead cross-functional collaboration with product managers, engineering, security architects, UX, and platform teams to deliver cohesive, end-to-end cloud access experiences across our solutions. translate customer and field feedback into clear product requirements by engaging directly with cloud engineers, platform teams, DevOps, and security stakeholders. serve as a central point of alignment for cross-product and cross-service initiatives, ensuring consistent access models, terminology, and architectural principles across the portfolio. communicate Product Strategy, trade-offs, and architectural decisions clearly to executive stakeholders, r&d leadership, sales, and customer-facing teams. establish and track success metrics related to adoption, security posture improvement, operational efficiency, and customer outcomes for secure cloud access and cloud discovery. stay current with cloud security trends, CSP roadmap changes, iam innovations, and kubernetes ecosystem developments to inform Product Strategy.

We are looking for a driven and technically fluent Product Manager to join the meci group within the software engineering organization. the meci group enables our algorithmic development flow by building scalable ci, build, TEST, and ai-driven tooling that supports the full development lifecycle. our platforms allow us to scale efficiently and increase development velocity, while maintaining high standards of reliability, collaboration, and Developer well-being. as a Product Manager in meci, you will own and evolve core internal platforms that are foundational to how we develop, validate, and deliver algorithms. this role sits at the intersection of engineering, infrastructure, and Developer experience, with broad impact across algo, validation, and platform teams.
why this role is unique
this role offers end-to-end ownership of products that are central to our development ecosystem. you will lead products spanning development workflows, build and TEST systems, platform services, and ai-assisted tooling, operating across multiple teams and technical domains. the role combines strategic product leadership with hands-on collaboration in a highly technical environment, where scale, performance, and reliability are critical. youll work closely with engineering leaders and cross-functional stakeholders to identify high-impact problems, define clear priorities, and drive delivery of solutions that measurably improve productivity, platform stability, and Developer experience.
what your job will look like:
own the product vision, strategy, and roadmap for key meci platforms and capabilities
drive cross-organizational alignment on platform priorities, architectural evolution, and adoption strategy
translate needs from algo developers, validation teams, ci users, and infrastructure stakeholders into clear product requirements, specifications, and user flows
lead the full product lifecycle - from discovery and problem definition, through design and implementation, to rollout, monitoring, and continuous improvement
maintain ongoing engagement with users to deeply understand workflows, pain points, operational constraints, and opportunities for improvement
partner closely with engineering leadership on prioritization, scope, and delivery, balancing short-term needs with long-term platform health
contribute to building a culture of collaboration, ownership, and sustainable development, with attention to Developer well-being.

Exposure Analyst (Customer-Facing)
About XM Cyber: XM Cyber is a leading hybrid cloud security company that’s changing the way organizations approach cyber risk. We transform exposure management by showing our customers exactly how attackers might combine misconfigurations, vulnerabilities, and identity exposures across cloud and on-prem environments to compromise critical assets. With XM Cyber, our customers can see all the ways attackers might get in—and the best ways to stop them with a fraction of the effort. About You & The Role: Are you someone who loves connecting with people just as much as you love talking tech? We are looking for a highly empathetic, customer-focused Exposure Analyst to join our managed services team. In this role, you’ll be the friendly face and trusted advisor helping our premium customers get the absolute best out of the XM Cyber platform. You’ll dive deep into security postures, translate complex attack paths into simple, actionable steps, and build the kind of trust that makes IT and Security teams excited to work with you. Responsibilities: Be the Trusted Advisor: Own the primary technical relationship for a portfolio of enterprise and mid-market customers, establishing yourself as their go-to security partner representing XM Cyber in the customer’s organization. Daily Posture Reviews & Action: Conduct daily reviews and analyses of your customers' security postures using the XM Cyber platform. You'll turn complex findings into clear, risk-based insights and proactively open remediation tickets. Weekly Check-ins & Deep Dives: Lead engaging weekly calls with your customers, hosting targeted deep-dive sessions to guide them on configuration, best practices, and new features to ensure optimal ROI. Bridge the Gap: Drive remediation outcomes by pushing discussions directly with the customer’s IT, DevOps, and Cloud teams—not just their security teams—helping them prioritize efforts based on attack path analysis. Deliver the Big Picture: Proactively track progress and provide monthly reports to both technical and executive stakeholders. You’ll also co-host Executive Business Reviews (EBRs) alongside our Customer Success team. Champion the Customer: Act as the lead technical escalation point, partnering with our internal R&D, Product, and Support teams to make sure your customers' needs are always heard and resolved.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered.

The Role:
As a Senior Software Engineer, you’ll design, develop, and deploy robust software systems across our platform. You’ll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning. The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.

Who You Are:

* A product-minded engineer who loves solving problems at scale
* Comfortable owning full systems - from architecture to deployment
* Passionate about writing clean, maintainable code with an eye on the end user
* A collaborative team player who mentors generously and learns continuously
* Curious, thoughtful, and excited by a fast-moving environment

What You’ll Actually Be Doing:

* Design, build, test, and deploy backend systems for high-scale financial applications
* Lead architecture reviews and drive decisions across technologies and platforms
* Write well-tested code and review peers’ work for quality and clarity
* Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
* Own and improve development lifecycles including CI/CD, observability, and cloud automation
* Debug production issues and lead efforts to ensure system reliability and uptime
* Contribute to internal documentation and onboarding processes
* Participate in a Tier 2/3 on-call rotation to support business-critical systems

Why You’ll Love Working Here:

* Flexible hybrid model: 3 days a week in the office – A must
* ₪1,000 net monthly wellness benefit – from therapy to Pilates to your kid’s art class
* Full Keren Hishtalmut, private health & dental insurance
* Donation matching, volunteering days, team outings, and mentorship programs
* A mission-driven culture that values ownership, trust, and meaningful impact

Next Step:
Hit apply!

We are looking for a Senior Software Engineer to join a strong and dynamic AI Engineering team. We are the focal point for AI initiatives, striving to constantly bring innovation and leverage AI capabilities across all company teams and products.
Today, AI is central to how we operate, across the entire organization. It allows us to move fast and release features at a rapid pace, empowers non-technical Forterians to utilize AI tools for increased efficiency, and provides the backdrop for much of the innovation currently occurring in the company.
If this kind of working environment sounds exciting to you, if you understand that Engineering is about building the most effective and elegant solution within a given set of constraints - consider applying for this position.
Why should you join us?
This is a great opportunity to be at the cutting edge of the AI revolution, helping to shape and build the AI platform for the future. Together, well build infrastructure for autonomous and interactive agents, enact AI guardrails and evaluation frameworks to ensure performance and safety, and implement state-of-the-art
AI and Agentic patterns.
This role presents a unique opportunity to enter the AI domain. For those with some experience in AI infrastructure, it offers the chance to grow within a team that is evolving us from the AI experimentation phase to building and leveraging AI-powered products.
What you will be doing:
Design, build, and maintain reusable AI capabilities - including models, tools, APIs, and platforms that power both internal and customer-facing solutions.
Develop and maintain our internal MCP server that easily and securely exposes our vast data stores to AI agents.
Create and implement robust evaluation frameworks and AI guardrails to safeguard our value and ensure model reliability.
Establish deep expertise and sustainable AI engineering practices.
Promote AI readiness and track adoption across the company to build lasting impact.
Build and optimize RAG (Retrieval-Augmented Generation) systems.
Take full ownership of projects: from gathering requirements from non-technical internal users to development, deployment, and operation.
Act as a consultant and advocate for AI engineering, helping other teams leverage the platforms and tools you build.
Partner with teams across to accelerate AI adoption and productization efforts.

Required Senior ML Engineer - Applied AI Engineering Group
The Dream Job
It starts with you - an engineer driven to build the ML platform that turns research into reliable, production-grade intelligence. You care about reproducibility, low-friction experimentation, and infrastructure that earns the trust of the scientists and researchers who depend on it daily. You'll architect and ship our ML platform - training pipelines, model serving, feature stores, experiment tracking, and compute orchestration - turning models into production capabilities across cloud and on-prem, including air-gapped deployments. A significant part of the platform supports large language models, with unique challenges across training, evaluation, and inference in mission-critical environments.
If you want to make a meaningful impact, join our mission and build the ML platform that drives Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Build and operate ML training infrastructure - distributed training pipelines, compute scheduling, and reproducible experiment workflows that data scientists rely on daily.
Own model serving and inference systems - packaging, deployment, autoscaling, A/B testing, canary rollouts, and latency/cost optimization for production models.
Run feature stores, model registries, and dataset versioning - enabling self-serve feature engineering, model lineage, and reproducible experiments across teams.
Build experiment tracking and evaluation infrastructure - automated evals, comparison dashboards, drift detection, and monitoring that give teams visibility into model behavior and performance.
Build and maintain production pipelines for training, fine-tuning workflows, and serving domain models - owning reliability, reproducibility, and scale.
Build and maintain the monitoring and observability layer - model performance tracking, data and prediction drift detection, data quality validation, and alerting.
Improve performance and cost across the ML stack - training throughput, inference latency, batch vs. real-time tradeoffs, and compute cost management.
Ship shared tooling - libraries, templates, CI/CD for models, IaC, and runbooks - while collaborating across Data Platform, AI, Data Science, Engineering, and DevOps. Own architecture, documentation, and operations end-to-end.

Required AI Engineering Team Lead - Applied AI Engineering Group
Tel Aviv Full-time
The Dream Job
It starts with you - a technical leader driven to build both the agentic AI platform and the engineering team behind it. You care about backend quality, platform reliability, and growing engineers through real ownership. We are AI-first across the board - every team builds and operates agents. You'll set the technical direction for the platform that makes this possible: agent orchestration frameworks, LLM gateways, evaluation infrastructure, tool-calling systems, and retrieval pipelines. Without this platform, agents don't ship - you own the layer that turns AI research into Sovereign AI products, deployed across cloud and on-prem environments. You stay close enough to the codebase to debug production incidents, unblock your engineers, and make sound architecture calls.
If you want to make a meaningful impact, join our mission and lead the team that builds the agentic AI platform driving Sovereign AI products - this role is for you.
The Dream-Maker Responsibilities
Architect and evolve the AI platform - agent orchestration, LLM gateways, context engineering pipelines, evaluation infrastructure, tool-calling systems, and retrieval pipelines - through RFCs, prototypes, and design reviews.
Lead and grow a small team of AI Engineers building the agent framework, production backend services, and AI platform infrastructure - hire, mentor, pair on hard problems, and raise the bar through hands-on code and design reviews.
Contribute to critical systems, debug production incidents, and maintain enough codebase context to make sound technical calls.
Own reliability across AI and agent services - set and enforce SLAs, build observability for non-deterministic systems, and harden tool execution environments for cost and security.
Set the standard for AI engineering practices - agent testing strategies, evaluation frameworks with human-in-the-loop oversight, retrieval quality benchmarks, and CI/CD for AI systems.
Work closely with ML Platform, Data Platform, DevOps, Data Science, and Product teams across the Applied AI Engineering group - ensure the AI platform evolves to serve teams building agentic workflows across the organization.
Measure and improve developer experience - deploy friction, onboarding time, CI turnaround - as seriously as system performance.