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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

we are looking for a Full Stack Engineer
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

Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

Lead the charge in transforming our product and preparing it for the agentic age.
Design, build, and deploy generative AI-powered features across our product.

Identify opportunities for AI integration by proactively exploring FinOps use cases and user needs

Prototype and validate new AI use cases quickly and iterate based on internal and external feedback

Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production

Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs).

Live in the future and track new innovations and paradigms in this fast evolving field and identify opportunities to integrate them into the product

Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs

Optimize model performance, inference time, and cost efficiency within AWS infrastructure

If youre looking to build something big, solve real problems, and grow fast-wed love to meet you.

Responsibilities:

Own, enhance, and improve core platform

Build and maintain systems for collecting and processing metrics from client environments

Focus on system efficiency and resilient infrastructure

Integrate well-known SaaS platforms into big data repository (e.g., major cloud providers, Datadog, Snowflake)

Optimize Spark and Airflow processes

Contribute to data design and platform architecture while working closely with other business units and engineering teams

Face the challenges of testing and monitoring large-scale data pipelines

We are looking for a Test Automation Engineer to join our Product Engineering Team. In this role, you will be responsible for designing and implementing automated test programs for hardware validation and production testing. You will work closely with hardware engineers to define test strategies, ensure seamless SW-HW integration, and optimize test environments to improve efficiency and reliability.
Key Responsibilities
Develop and maintain automated test programs for hardware validation and production testing.
Collaborate with hardware engineers to define, implement, and stabilize automated test environments.
Enable HW operation through software-driven testing methodologies.
Debug SW-HW integration issues and optimize test sequences for robustness and efficiency.
Maintain test documentation, analyze test results, and contribute to yield improvement efforts.

Were looking for a Marketing Operations Engineer to join our Marketing Technologies & Operations team as a true technical builder. This role sits at the core of how scales its Product-Led Growth (PLG) motion - building the infrastructure that turns product signals into revenue.
Youll operate at the intersection of Marketing, Sales, Data, and Engineering - going beyond campaign execution to design systems, automate workflows, and deploy AI-driven solutions that power customer journeys at scale.
Youll lead the technical side of our customer engagement platforms, develop our orchestration layer (n8n / Make), and build the foundations that connect product usage with go-to-market execution.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You see marketing systems as something to build - not just manage
You enjoy designing workflows and automations across multiple tools and platforms
You like turning messy, fragmented data into clean, actionable flows
Youre excited about using AI to automate and scale go-to-market processes
Youre comfortable working across Marketing, Sales, Data, and Engineering
You take full ownership - from idea to production and iteration
You thrive in fast-moving, high-impact, AI-first environments

Were looking for a Data Engineer to build and scale the data infrastructure behind our Sales Streaming platform. This role is about owning pipelines that process massive volumes of data and power real-time, AI-driven features used by millions of sales professionals.
Youll work end to end - from data lakes to real-time streaming - collaborating closely with Data Science, ML, and Product teams to turn complex data into high-impact product capabilities.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy building data systems that run at scale and serve real users
You like owning your work end to end, from design to production
Youre a problem solver who enjoys turning messy data into reliable systems
You value autonomy, impact, and fast decision-making
Youre comfortable working in dynamic, AI-forward environments

we are looking for a Data Infra Tech Lead.
The Data Group builds and maintains the core data assets that power our products, from our Company and Contact databases to our Connect and Recommendation systems. The Data Tech Lead sits at the forefront of that mission, leading engineering innovation that directly shapes the experience of our growing user base and drives the evolution of intelligent data services.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
Your impact and responsibilities:
Leading the design and development of scalable, high-performance data workflows, including both batch pipelines and real-time data products.
Defining, implementing, and enforcing engineering best practices related to code quality, testing, CI/CD pipelines, observability, and documentation.
Mentoring, supporting, and growing a team of data engineers, fostering a collaborative and high-performance engineering culture.
Identifying opportunities to create new data assets and features that expand product capabilities and value proposition.
Driving architectural decision-making in areas of data modeling, storage solutions, and compute resources within cloud environments such as Databricks and Snowflake.
Collaborating closely with cross-functional stakeholders- including Product, DevOps, and R&D - to ensure effective delivery and platform stability.
Promoting and championing a data-driven mindset across the organization, balancing technical rigor with business context and strategic goals.

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy

We are looking for a Security Engineer to join our Security Engineering team. This is a generalist, "all-rounder" role - you will work across all security domains, while leading and owning a specific security domain based on your expertise.
You will define and drive security programs, design and implement security controls, and make architecture-level decisions across your domain. You will work closely with R&D, DevOps, and engineering teams, embedding security into how we build and operate at scale, and help shape a security-first culture across the organization.
What You'll Work On:
Define and maintain security standards, policies, and controls across all security domains - including SSDLC processes and secure development standards across R&D
Work hands-on alongside R&D, engineering, and IT teams to implement security controls, drive adoption, and ensure execution
Lead and contribute to large-scale security projects with real organizational impact
Evaluate, integrate, and operate industry-leading security tooling and platforms - including emerging startups with cutting-edge technologies
Build automation, tools, internal processes, Terraform modules, GitHub Actions, and AI agents for engineering teams and for your own team
Conduct security assessments and threat modeling.
Lead containment, investigation, and forensic analysis during security incidents
Identify security gaps and misconfigurations across cloud environments, infrastructure, and internal processes - and drive remediation through scalable, long-term solutions
Contribute across all security domains - cloud, application, AI security, detection engineering, IT, and more

Were looking for a Data Engineer to join our Data Labs (DL) department, which specializes in professional services for our super-premium customers. This role will report to our DL (Datalabs) Data Science Team Manager in the R&D.
So, what will you be doing all day?
Building and maintaining our big-data pipelines
Take a major part in designing and implementing complex high-scale systems using a large variety of technologies
Be part of a team with smart and motivated engineers, and data scientists, to collaborate on the planning, development, and maintenance of our products
Implement solutions in the AWS cloud environment, and work in Databricks with PySpark

we are looking for a Senior Analytics Engineer.
On a day-to-day basis, we transform raw data into clean, structured models using tools like SQL, Python, and dbt. We build and maintain modern BI platforms, develop reporting systems, and design AI-driven analytics that surface valuable insights quickly and reliably.
Our team is hands-on with building reusable metrics, defining source-of-truth data models, and ensuring consistency through a strong semantic layer. Whether were shipping a new dashboard, debugging a dbt model, or refining how a metric is defined across the business, our focus is always on clarity, scalability, and enabling smarter, faster decisions.

Were looking for a seasoned and driven Team Lead to head our NLP & Speech team. In this role, youll lead a high-performing team of researchers and engineers developing state-of-the-art capabilities in real-time transcription, semantic understanding, content generation, and AI-powered editing tools. Leveraging our unique access to vast multimodal datasets and large-scale compute, your team will drive ambitious applied research projects from concept to deployment - powering intelligent, intuitive experiences for millions of content creators.

Required Software Engineer III, Data and AI Infrastructures, Waze
Tel Aviv, Israel
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The team manages all engineering infrastructure for Waze data scientists, including: GenAI frameworks for internal applications and analytics (DataWhiz), evaluation frameworks for user-facing features, and MLOps for training and deploying ML models at scale. Additionally, the team oversees data pipeline infrastructures, infrastructure as code, and the application of engineering best practices within data science.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Add new features to our GenAI analytics agents serving all of Waze for any data analytics questions.
Research in GenAI for ML research and exploration, backend GenAI models evaluation framework.
Understand ML or Data Science to have knowledge of the users of the framework.