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Requirements:
Education: MSc or PhD in Data Science, Computer Science, Mathematics, Statistics, or a related engineering field.
Experience: 4+ years of proven experience as a Data Scientist solving complex business problems with state-of-the-art algorithms.
Deep Learning: Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
Engineering & Production: High-level software engineering expertise, with a strong track record of deploying, maintaining, and scaling models in rigorous production environments.
Strong analytical thinking: Take a vague business question, translate it into a testable hypothesis, build the infrastructure to run an experiment, and draw rigorous conclusions from the results.
Massive Scale: Experience working with billions of records and big-data frameworks (e.g., Spark, Ray, Dask, Airflow).
Domain Expertise: Proven experience building and optimizing applied recommendation systems.
AI development: Fluency with modern AI coding tools and practices (e.g. Cursor, Claude Code, Copilot) and an eagerness to integrate them into your daily workflow
Leadership & Soft Skills: Demonstrated experience leading machine learning projects. You are a highly analytical team player capable of handling multiple tasks simultaneously in a fast-paced environment.
You might also have
LLM & Agentic Frameworks: Experience building applications with modern AI tools and frameworks (e.g., LangChain, LangGraph).
AI Observability: Hands-on experience with LLM observability, evaluation, and tracing frameworks (e.g., Langfuse).
MLOps & Infra: Experience working with MLOps tools (e.g., MLflow, Kubeflow, Weights & Biases, SageMaker) and feature stores (e.g., Feast, Tecton).
Additional information
Relocation support is not available for this position
Work visa/immigration sponsorship is not available for this position
Benefits
At our company, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Requirements:
5+ years of hands-on experience in offensive security, penetration testing, or red teaming
Proven ability to find, exploit, and chain vulnerabilities across applications
Deep understanding of how modern web applications and APIs break
Hands-on experience assessing cloud environments (AWS or GCP)
Strong ability to develop and validate offensive tooling
You might also have
Adversary emulation experience: designing engagements around real threat actor TTPs
Security research in real-time 3D, game engines or SDKs, or mobile runtimes
Experience attacking CI/CD and build systems.

Requirements:
3+ years of Frontend Engineering experience with React.
Proven end-to-end experience building and shipping frontend components.
Deep expertise in web components technology.
Solid understanding of CI/CD: you know how your code gets to production.
Military tech background (e.g., 8200, Mamram)- an advantage.
English proficiency- required.

Requirements:
2+ years of experience managing engineering teams.
10+ years of professional experience in the software industry.
Strong hands-on experience with modern programming languages such as Python, TypeScript, or Go.
Strong understanding of software engineering principles, including SOLID, infrastructure architecture, Infrastructure as Code, and GitOps.
Experience designing and operating large-scale cloud services on AWS, Azure, or GCP.
Strong proficiency in DevOps practices, observability, and operating production cloud-based systems.
Hands-on experience working in Agile environments and building CI/CD pipelines.
Experience in high-growth startup environments, with a strong mindset around scalability, automation, and engineering efficiency.
Familiarity with large-scale data technologies such as Kafka, Spark, and OpenSearch.

Requirements:
A full-stack product designer. Strong UX, strong UI, real brand instinct. Not great at one and thin on the rest.
AI-first mindset. You feel at home working hands-on with AI tools and operating agents on your behalf. You will not be able to keep up with the team without that.
Product thinking under ambiguity. You can take a vague, hard problem, decide what to build and what to leave out, and defend the cut.
Craft. You care about the pixel, the microinteraction, the moment something clicks. Delight isn't decoration to you. It's how trust gets built.
Comfort with technical and infrastructure products. You don't need to write code, but APIs, developers, and a problem with no consumer analog don't scare you.
A point of view. You argue from the user and the problem, not from taste, and you'll change your mind for a good reason without folding.
Start-up mode on. We run faster than market changes. You need to feel comfortable in an ever-changing environment, where we are stubborn on our vision but flexible on the details.

Requirements:
7+ years of professional software engineering experience, or equivalent experience delivering senior-level work, including substantial full-stack ownership.
Strong production experience with React and TypeScript across frontend and backend development.
Strong experience with Node.js or another production backend stack, including API design and operation.
Deep understanding of web architecture, testing, security, performance, and production operations.
A record of independently delivering customer-facing products, communicating tradeoffs clearly, and following work through production.
Hands-on experience shipping AI-enabled or agentic capabilities to production with a framework such as LangGraph, CrewAI, or an equivalent, including disciplined validation of outputs.

Requirements:
5+ years of experience in backend development, with a proven ability to own features end-to-end, from design and development through deployment and production support.
Hands-on experience using AI tools or building AI-powered solutions (professionally or through personal projects), with a strong curiosity and drive to apply AI in real-world environments.
Deep experience with cloud-native architectures, preferably AWS.
Strong understanding of system design, architecture principles, and design patterns.
Experience working with both SQL and NoSQL databases, including schema design and performance optimization.
Ability to work independently while collaborating with multiple engineering teams on cross-company initiatives.
Strong communication skills, proactive mindset, and a team-oriented approach.
Passion and curiosity for emerging technologies - a must.
Advantages
Experience mentoring developers and leading technical initiatives.

Requirements:
5+ years of hands-on backend development experience, preferably in Python, with the ability to leverage AI and work effectively across languages.
1+ years of experience leading and mentoring an engineering team.
Proven experience designing, building, and operating distributed, event-driven systems at scale in cloud environments, preferably AWS.
Hands-on experience with message queues and Pub/Sub architectures.
Experience leading architectural transformations, including the modernization of legacy or monolithic systems.
Proven experience designing and delivering new systems from scratch, from architecture through production.
Strong experience with relational and NoSQL databases, such as PostgreSQL, MongoDB, and DynamoDB.
Strong understanding of data consistency, transactional integrity, concurrency, and failure handling in complex systems.
Hands-on experience using AI tools and Coding Agents to accelerate development and improve engineering workflows.
Strong communication and stakeholder management skills, with the ability to collaborate effectively with Product, Data, and Business teams.
A growth mindset and a genuine passion for developing people and building a strong engineering culture.
Full professional proficiency in Hebrew and English.

Requirements:
5+ years of experience building highly scalable, SaaS web products.
Fluent in any programming languages such as Golang, Node.js, Python, Scala or similar.
Experience with SQL and NoSQL databases, Docker, K8s/ECS/Nomad or similar, AWS or similar public cloud.
Vast experience in microservices architecture, distributed systems & high scale environments
Willingness to work with Golang

Requirements:
6+ years designing and shipping marketing or brand work at meaningful scale, with outcomes you can speak to. Beyond experience, we hire for a specific type of designer:
First-Principles Thinker. Questions the brief before a single pixel is pushed. Asks why this problem, why now, and what success actually looks like - then challenges any assumption that doesn't hold up.
Strategic Storyteller. Connects business goals, audience insights, and positioning into clear, compelling creative. Understands that great marketing starts with the right story-not the right visual.
Excellent Craft. Delivers work with exceptional attention to detail, strong art direction, and uncompromising quality. As AI makes execution increasingly accessible, exceptional craft is defined by judgment, taste, and knowing what is worth refining.
Simplifier. Cuts before they add. In a world where AI makes it easy to generate more of everything, they find the one thing that matters and remove the rest.

Requirements:
We're not looking for a process operator. We're looking for a commercial product leader who happens to love fintech - operating at the exceeding-the-standard bar from day one:
Ownership & agency. You own outcomes end to end - including the decision to continue, scale, reshape, or stop. You set the decision framework (problem, success, assumptions, tradeoffs, kill-signals) before work starts and keep the team honest against it. You don't wait for someone to tell you how the work will be judged.
Operates in ambiguity. When the problem isn't defined, you make assumptions explicit, pressure-test them fast, and move. A fast, imperfect call beats waiting for perfect analysis - and you know the blast radius.
Judgment & taste. You bring a clear point of view, synthesize inputs into a defensible recommendation, and don't default to the average of what stakeholders said. You can name weak logic and a solution that isn't good enough yet - including in others' work.
Commercial instincts. You think in pricing, margin, take-rate, unit economics, and vendor cost. You can read a P&L and a contract and tell us what's hiding in it.
Show, don't tell. You'd rather put a model, prototype, or one-pager in front of the team than run another meeting.
AI-driven velocity. You build tools, prompts, and workflows that embed your thinking so the team moves without waiting on you. The bottleneck isn't you - that's the point.
Customer obsessed. You're in our members' businesses regularly. You can tell a real pattern from a loud opinion.
High ownership, low ego. You see a fire, you put it out, even if it's not "yours."
Experience:
8+ years of product management experience
Deep domain in payments, fintech, or B2B financial products - you've shipped against Stripe / Adyen / Square / Plaid / a BaaS platform / lending infra.
Track record of building 0-to-1 and scaling live products to find PMF.
Comfortable as the named executive counterpart to vendor and partner leadership.
US ↔ international expansion (UK/EU/AU) in payments.
Experience with regulatory and fraud challenges.

Requirements:
4+ years of experience in Growth Marketing or a similar analytical marketing role.
Proven track record working in high-frequency / high-retention / B2C product companies.
High proficiency and hands-on experience with product analytics tools (Mixpanel, Amplitude, or similar).
Strong technical familiarity with marketing automation platforms (e.g., Braze, CleverTap, ect) to execute complex, trigger-based user journeys.
Deep understanding of consumer psychology, copywriting, and behavioral economics.
Strong analytical skills - ability to calculate ROI of promotions and analyze funnel drop-offs.
Results-oriented mindset with a focus on moving the needle on revenue and conversion.

Requirements:
5+ years of experience in fintech or payments fraud analytics. You are a seasoned IC who has scaled fraud programs in complex, high-volume environments.
AI/ML Expertise: Proven experience leveraging Generative AI, LLMs (e.g., RAG, agentic workflows), and Machine Learning to solve real-world risk problems. You don't just use these tools; you know how to build with them.
Technical Powerhouse: Mastery of Python (for data science and automation) and SQL (performance tuning, CTEs, window functions). You are comfortable working alongside engineers and data scientists.
Network Analysis: Deep experience with graph databases (Neo4j, TigerGraph) and link-analysis techniques to identify organized criminal networks.
Demonstrated ability to translate complex quantitative findings into executive‑level insights and influence roadmaps across product, engineering, finance, and support.
Strategic Influence: While this is not a management role, you have a track record of influencing technical roadmaps and advising senior leadership on risk-reward trade-offs.
Advanced data‑visualization skills (Looker, Tableau, Omni, Superset, or equivalent) with a portfolio of self‑service dashboards adopted by the company‑wide.
Domain Depth: Expert knowledge of the payments lifecycle, including CNP, ACH, and RTP risk, as well as the specific fraud challenges of the SaaS and marketplace sectors.
Regulatory Fluency: A solid understanding of PCI DSS, Nacha rules, and the emerging regulatory landscape surrounding AI in financial services.
Prior experience scaling fraud programs in a marketplace, SaaS, or creator‑economy context - Advantage.
Education: Bachelors or Masters degree in a quantitative field (e.g., CS, Statistics, Mathematics, Economics) or equivalent technical experience- Advantage..

Requirements:
8+ years of product management experience
Proven track record of building 0-to-1 products - from idea to launch to scale
Deep B2C background - you understand consumer behavior, retention, and what it takes to earn a user's habit
Experience working in or alongside high-performing teams where the bar was high and the pace was real
AI-driven, passionate about leveraging AI tools and technologies to build smarter, more efficient user experiences.

Requirements:
3+ years of experience in data analytics roles with expert SQL skills and data visualization tools - Looker, Tableau, PBI, Omni, etc.
2+ years of experience working in the marketing data analytics field.
Proven track record collaborating with teams to leverage data-driven insights to improve performance.
You have a bias towards action; you dont wait for someone to tell you what to do and are comfortable working with ambiguity.
You dont stop once you pull the data; you love turning numbers into actionable insights.
Youre a strong communicator and have an art for communicating complex findings in a simple way.
Your thinking is structured, and you have excellent intuition for numbers and data.
And most importantly, you believe in our mission and know how you will contribute to our success.