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About us Think about literally anything in your house. Your shirt. Your phone. That random IKEA wrench thingamabob you still haven’t thrown away. Odds are, it all came from somewhere else. Freight is the invisible magic trick that makes the global economy work. And we’re the ones helping it work a little bit faster, smarter, and cheaper. Freightos (Nasdaq: CRGO) is the global booking and payment platform for the trillion-dollar freight industry. Hundreds of airlines and ocean liners, thousands of freight companies, and over ten thousand importers and exporters use our platform to move goods around the world faster and more efficiently. This matters. Efficient freight ultimately makes things cost a little bit less when you buy them in the store. We’ve been on a rocketship (freight ship?) of double-digit growth for years, and we’re nowhere near done. About the Role We are looking for a hybrid powerhouse - a DevSecOps. In this role, you will be the "Ghostbuster" of our systems, an elite specialist who ensures our platform is not only lightning-fast and reliable, but also hardened against any digital threat. You are the kind of person who locks every back door behind you while keeping the gate always open for customers worldwide. Responsibilities:
* Lead security architecture and design reviews to ensure new systems and platforms meet security, reliability, and scalability requirements.
* Develop, implement, and enforce technical security standards, secure baseline configurations, and infrastructure hardening guidelines.
* Own the reliability, availability, performance, and security of production systems across the organization.
* Design, implement, and optimize secure and scalable CI/CD pipelines, integrating security practices throughout the SDLC.
* Build and maintain automation tools and operational processes to improve deployment efficiency, system stability, and security posture.
* Enhance security and observability by implementing and managing monitoring, logging, alerting, and SIEM solutions across distributed systems.
* Lead and participate in incident response activities, including threat monitoring, on-call support, and continuous improvement of operational readiness processes.
* Conduct security assessments, vulnerability management, and compliance audits to identify and remediate risks.
* Promote a security-first engineering culture by mentoring teams on secure coding, infrastructure, and deployment best practices.
* Stay current with emerging threats, vulnerabilities, attack vectors, and industry best practices, and proactively integrate improvements into engineering and security processes.
* Participate in the on-call rotation , with availability to support a global environment.

Hybrid:
Yes

We're looking for a Full-Cycle Data Engineer to join our Data & AI team and own the flow from product data sources → modeling → dashboards → insights. You'll partner with product managers, engineers, and AI teams to turn raw product data into reliable analytics infrastructure that drives decisions across the company - from individual feature bets to CEO- and CFO-level questions.
This is an end-to-end role: you'll take data products from ideation through engineering, analytics, and production deployment.
Responsibilities
Pipelines & infrastructure:
Design, build, and deploy scalable data pipelines from product and system sources in production, using Python and orchestrators like Airflow.
Work with distributed query engines such as BigQuery or Athena, with strong SQL throughout.
Build and maintain semantic data models for large-scale operational systems and data lakes, manually or with tooling like dbt.
Improve the end-to-end analytics stack, from ingestion to visualization, and collaborate with engineering on event tracking and instrumentation.
Ensure data quality, consistency, and reliability across the stack.
Analytics & reporting:
Build and maintain dashboards and reporting layers in tools like Looker or Metabase, optimized for performance, usability, and clarity
Create self-serve analytics so product and business stakeholders can answer their own questions
Support product experimentation: A/B testing, funnel analysis, feature adoption
Partnership & insight:
Translate ambiguous questions from product leads, the CEO, the CFO, and others into clear metrics, KPIs, and analytical models
Surface trends in usage and user behavior that influence the product roadmap and feature prioritization
Provide ad-hoc analysis and strategic reporting for leadership.

We are looking for a brilliant, curious, creative, and fun-loving Senior Automation Engineer with a passion for excellence and collaboration. Youll also be ready to take on a huge challenge of building and testing our applications, APIs, computation engine and financial platform! We are looking for an individual who is comfortable and excited about taking ownership and driving initiatives from beginning to end and is not afraid of anything (in tech :P). If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey!
Responsibilities:
Design and develop our manual testing and automation processes, tools and infrastructure
Be part of our core engineering team developing our services and system architecture
Take significant part of the testing & quality assurance processes wide and ensure that quality is built into every step of the development life-cycle using the latest technologies and overcoming limitations
Help define and drive our best practices and frameworks
Work closely with the product team to define the testing strategy and incorporate it in our program plans and roadmap, execute the testing plans and be the advocate for benefits of QA & automation
Influence design decisions, architectures, select/evaluate tools, and enforce a quality-based approach.

We are looking for a brilliant, curious and creative Senior Full-Stack Engineer with a passion for data thats ready to take on a huge opportunity to solve tax, and save people time and money. If youre all that and looking to lead, invent, and grow professionally you should definitely consider applying to join us on our journey.
Key Responsibilities:
Lead and own full-cycle (from idea to production) projects that are directly used by and impact millions of people
Work closely with the product & UX to define product requirements and execute the development plans
Design system architectures, select/ evaluate tools
Build cloud-native microservices
Mentor, and grow the team, our practices, and our technology stack

Were looking for a Hands-on AI & Data Engineering Manager to lead a team building intelligent, large-scale consumer experiences powered by AI. In this role, you will lead engineers developing AI-driven products, work closely with data scientists, product managers, and designers, and ensure that AI capabilities-from LLMs and agents to product data insights-are translated into reliable, scalable production systems. You will be responsible not only for delivering AI features, but also for analyzing product data and user behavior to continuously improve AI performance and product outcomes. This is a technical leadership role combining engineering management, architecture ownership, AI product development, and data-driven decision making.
Responsibilities:
Lead a team of data scientists, data engineers and product analysts
Own the delivery of AI-powered product capabilities, from research and experimentation to production and operation
Drive excellence, code quality, and best development practices
Provide technical direction and hands-on guidance for complex AI systems
Drive the integration of LLMs, AI agents, and intelligent workflows into core consumer experiences
Ensure AI solutions are safe, scalable, observable, and continuously improving
Lead initiatives around product data analysis and experimentation
Analyze user interactions with product features to improve accuracy, UX, and business impact
Partner with product teams to define metrics, dashboards, and experiments that guide product improvements
Design system architectures for AI-enabled applications at scale
Evaluate and select technologies for AI platforms and data pipelines
Guide the development of prompt engineering frameworks and centralized prompt management
Ensure robust monitoring, evaluation, and feedback loops for AI outputs
Translate product and business goals into technical roadmaps and execution plans
Drive alignment between AI capabilities and measurable product outcomes.

Required SRE / DevOps Lead
About the Role
As our SRE / DevOps Lead, you'll own the reliability, scalability, and security of the infrastructure that powers our platform - a system trusted by leading wealth managers, banks, and consumer fintechs to handle some of the most sensitive financial data their users have. You'll lead a team of 2 SREs and partner closely with product engineering, security, and our compliance partners to make sure what we build runs the way our customers (and the IRS) expect.
This is a hands-on lead role. You'll set the technical direction for our cloud platform, deployment pipelines, observability, and on-call practices - and you'll write the code, configs, and runbooks that get us there. You'll also own our IT function (identity, endpoints, SaaS) at a tighter scope, keeping the company secure and productive as we grow.
What you'll do:
Lead and grow a team of 2 SREs, setting direction across SRE, DevOps, and IT
Own the architecture, performance, and reliability of our GCP-based platform - Kubernetes, Terraform, CI/CD, networking, and scale
Define and uphold our SLOs, infra budgets, on-call priorities, and incident response practice
Build and operate our observability stack so engineers can find and fix problems before customers feel them
Partner with engineering and security on the controls, evidence, and audits that keep us SOC 2, SOC1 and STIG compliant and IRS-authorized
Plan and execute capacity, load testing, and game days for tax season - the highest-stakes window of our year
Own corporate IT: identity (Okta), Google Workspace, endpoint management (Jamf / Kandji), and the SaaS stack used across the company
Set the standard for how we ship: fast, safe, observable, and reversible

We are looking for an exceptional, driven, and technically visionary Staff Full-Stack Engineer to help shape the future of our platform and accelerate our mission to simplify taxes for everyone. Youll play a central role in designing and building scalable systems and tools that enable our teams to deliver exceptional user experiences with speed and confidence. If you're passionate about technical leadership, enjoy solving complex architectural challenges, and want to make a meaningful impact on millions of users, wed love to have you join us.
Responsibilities:
Critical, cross-functional engineering initiatives from design to development and deployment, ensuring quality and scalability
Participate in technical decision-making and knowledge sharing across multiple teams
Collaborate with Product, UX, and other stakeholders to deliver seamless and data-driven experiences
Evaluate and introduce new tools, technologies, and practices that raise the bar for engineering excellence
Guide by example - service ownership, observability, and operational best practices across the engineering organization
Promote a culture of high standards, clean code, testing, and continuous improvement.

This role is centered on building infrastructure for a highly scaled automation environment - hands-on, low-level development in C ++ and Python, paired with growing a team capable of doing the same. If you thrive at the intersection of infrastructure architecture, code, and quality - and get energized by the challenge of making large-scale systems work smoothly and solutions-oriented - we'd love for you to join us.
Responsibilities:

* Lead the technical direction of the infrastructure powering our large-scale automation environment: define architecture, coding standards, and best practices across the different infrastructure components.
* Engage with Automation, R&D, Product, and other Infra groups from the earliest stages of feature development - weighing in on testability, edge cases, and environment/protocol compatibility to enable smooth, scaled development and testing.
* Mentor and grow engineers across local and remote sites - conducting design and code reviews, and raising the team's overall engineering bar.
* Drive root cause investigations of complex, hard-to-reproduce issues: race conditions, timing-sensitive failures, and environment-mismatch problems that only surface at scale.

We are seeking a skilled and experienced Product Manager to join our team in the field of SaaS security. The ideal candidate will be responsible for designing major parts of our SaaS security product. They will work closely with cross-functional teams including engineering, marketing, and sales to identify and prioritize features and functionality, design the features and oversee their development.
If you are a self-motivated and results-driven individual with a passion for delivering innovative products and solutions in the SaaS security industry, we encourage you to apply for this exciting opportunity.
Responsibilities
Define and prioritize product features and functionality based on customer needs, market trends, and business objectives
Create functional requirement documents and manage the features backlog
Collaborate with engineering teams to define and ensure that product development aligns with the product roadmap and meets customer requirements
Conduct market research and customer calls and translate those into product requirements
Collaborate with sales and marketing teams to ensure successful product launches and provide product training and support
Monitor and analyze competitors' products and positioning to ensure our products remain competitive and meet market needs.

We are looking for an experienced Product Manager to join our Product team and lead major parts of our SaaS Security platform, with a growing focus on securing AI capabilities embedded in SaaS applications.In this role, you will design, define, and deliver core product features, working closely with engineering, sales, and marketing. You will help shape how organizations secure modern SaaS environments - including AI-powered features such as copilots, agents, and generative AI integrations - and translate emerging market needs into impactful product capabilities.If you thrive in fast-paced environments, enjoy owning complex products, and want to be at the forefront of SaaS Security in the AI era, wed love to talk.Responsibilities
Define and prioritize product features and capabilities, including security and governance for AI features within SaaS applications
Lead discovery for new product initiatives, focusing on risks and attack surfaces introduced by AI adoption in SaaS environments
Create clear product requirement documents (PRDs / FRDs) and manage the product backlog
Work closely with engineering teams to ensure delivery aligns with the product roadmap and customer needs
Conduct market research and customer conversations to understand how AI is being used in SaaS and the resulting security challenges
Collaborate with sales and marketing on product launches, messaging, and enablement.
Monitor competitors and market trends across SaaS Security, AI Security, and identity-related domains
Balance quarterly planning with the flexibility to rapidly adjust priorities in a fast-changing market.

We are looking for a hands-on Security Research Team Lead to own and scale our Security Research domain.
This is a foundational role in a small, highly technical team, focused on deep security research, algorithmic thinking, and leveraging AI to turn complex data into accurate, actionable security insights.
This role is not about people management by default - it is about technical leadership, ownership, and building scalable research capabilities that directly impact product and customer security.
Responsibilities:
Own and lead the Security Research domain through hands-on technical work.
Research security risks in SaaS and business applications, including permissions, identities, and access models.
Design and apply algorithmic approaches to analyze complex data structures and security risk surfaces.
Leverage AI-based techniques to work with large-scale data, improve accuracy, and automate research workflows.
Detect security flaws, misconfigurations, and systemic risks in SaaS environments.
Lead and support complex security investigations and customer-facing incident research.
Work closely with Product and Engineering to translate research findings into scalable product capabilities.
Technically mentor and support a small and growing research team.
Define research priorities and help shape how the team scales over time.

Required Full Stack Engineer
Tel Aviv
Description
We protect organizations from threats created by SaaS and AI sprawl. By unifying SaaS discovery, SSPM, AI security, and ITDR, we deliver the comprehensive coverage needed to find and fix SaaS and AI risks. The platform uncovers shadow AI, flags misconfigurations before they become incidents, and detects unusual activity across human and service identities. We go beyond visibility with one-click remediation, automated workflows, and guided collaboration to help security teams operationalize their SaaS and AI security programs. Trusted by leading organizations, we enable secure SaaS and AI adoption.
As a team member in a growing startup, your impact on the company is unbound: our team not only implements the plan, but actually creates the plan, engages with customers and product management, defines testing and execution methodologies, according to each core team member's strong suites and preferences. We believe in distributed decision making, and we expect high investment in developer experience, test automation, and overall quality of architecture and code.
Responsibilities
Hands-on end-to-end development, including DevOps tasks and automated testing
Work in a cloud-native environment (Azure), microservices architecture, cutting-edge technologies, and a quality-first mindset
Deliver UI components and full screens - taking wireframes from design to full implementation
Design and improve our developer experience (DX), system architecture, and product infrastructure
Collaborate closely with the core team, participate in code reviews, interviews, and task prioritization
Take ownership and responsibility - your impact will grow as the company scales
Tackle scalability and performance challenges as we grow and our user base expands.

We are seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍
Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security.

Were looking for a Data Engineering Team Lead to take ownership of Ports data engineering team and help shape the future of agentic engineering portals. This is a hands-on leadership role: youll guide a team, drive technical direction, and help establish Ports data warehouse both for product use cases and for internal business analytics.

What youll do:

were building a platform by developers, for developers. As a Data Engineering Team Lead, youll balance leadership and data engineering work - setting technical direction while enabling your team to thrive.

Your responsibilities will include:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Develop and provide a data backend for product facing features such as usage analytics, data insights and enabling an agentic context lake
Collaborate with cross-functional teams (product, R&D, analysts) to deliver actionable data solutions tailored to their needs.