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Requirements:
Requirements:
5+ years of hands-on server-side programming experience.
3+ years of proven experience as a Software Team Lead or Tech Lead.
Deep experience with production-critical, high-traffic environments (Low SLA / High Availability).
Strong hands-on orientation with a passion for backend infrastructure and performance optimization.
Calm, confident leadership style with excellent communication and conflict-resolution skills.
BSc in CS/EE/Math, military experience in an elite tech unit, or equivalent practical experience.
Full proficiency in Hebrew and English.

Advantages (Nice to Have):
Experience with Python or Rust (and a strong desire to develop in Rust).
Experience with AKS (Azure), Microservices, Kafka, Redis, RabbitMQ, Postgres, and CI/CD.
Track record of adopting AI tools/methodologies within engineering teams.

Requirements:
Requirements
Bachelors degree in a relevant technical discipline.
At least 4 years experience in managing a software team- Must
At least 5 years' experience modern C++ (11 or newer).
Proven experience in image, Computer Vision, Deep learning & Neural Networks.
Background with multithreaded programming.
Mathematics and algorithms oriented.
Excellent teamwork and human relations.
Independent, self-motivated, and fast learner.

Advantages
Experience working in multidisciplinary environments.
Hands on experience with Python and Bash development.
Familiarity with TensorRT framework.
Familiarity with Git, Jira.
Familiarity with OpenCV.
Familiarity with CUDA and NVIDIA platforms.

Requirements:
Minimum 5 years of experience in outbound product management - Must.
Experience working with multidisciplinary products with good understanding of system architecture - Must.
Experience working in Computer Vision related technologies/products - advantage.
B.Sc / M.Sc in a related engineering field - Must.
Fluent in English; Spanish or Portuguese is a plus.
Creative and innovative mindset, hands-on attitude with a strong drive for results.
Industry experience such as: Rail, Automotive, Defense, Medical - an advantage.

Requirements:
What we're looking for:

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:
5 years of hands-on ML and deep learning experience, with a track record of shipping, debugging, and diagnosing models in production
Data-first mindset: you know how to define the right evaluation criteria for each model - before and after shipping, to ensure it delivers real quality and value in production
Hands-on experience building and deploying agentic AI systems to production
Proficiency in Python; experience with PyTorch, scikit-learn, HuggingFace, or equivalent
Practical, applied mindset - focused on the problem, success metrics and impact, not lab research.
Background in security, trust & safety, or content moderation - an advantage

Requirements:
Passionate team player with minimum 5 years of experience
Expertise with modern programming languages such as Python/C#/Java/Scala/Kotlin/TypeScript/JavaScript
Experience writing code in Agile, CI/CD-based environments
Experience working in a high-growth startup environment
Advantage: Experience working with Big data technologies such as Kafka/Spark/OpenSearch
Advantage: Experience working with Big data formats such as Parquet/Avro/Delta Lake/Iceberg
Experience working on large-scale services based on AWS/Azure/GCP

Requirements:
4+ years in security research, including cloud, web, or API security.
Experience in detection engineering and building or working with detection-driven security products.
Strong coding and data analytics skills in scripting and programming languages such as Python, JavaScript and bash, and proficiency with SQL-like queries.
Solid grasp of security principles, cloud security, and runtime defense.
Curiosity, creativity, and a self-driven approach to research.
Experience tinkering with LLMs and AI security - a strong plus.

Requirements:
5+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax.
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
A deeper understanding of software development best practices and demonstrate leadership skills.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization.

Requirements:
3+ years of hands-on experience with Python and SQL
2+ years of experience managing or leading a team
Proven ability to work effectively in multi-stakeholder, cross-functional environments
Strong analytical thinking, ownership mindset, and attention to detail
Excellent communication and presentation skills
Technical & Professional Skills (Highly Valued)

Demonstrated experience with GIS, geospatial data, and mapping/visualization tools (e.g., ArcGIS, QGIS, or similar)
Strong data storytelling skills and the ability to influence decision-making through data
Experience with public transportation, transit, or mobility data
Experience working in cloud environments (Azure, AWS, or GCP) and Git / version control.

Requirements:
Interested? Here's what we're looking for:

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:
5+ years of development experience as a software engineer.
Deep knowledge of object-oriented programming and other scripting languages: Java, Python, Scala C#, Go, Node.JS and C++.
Strong SQL skills and experience with relational and non-relational databases e.g. (Postgress/Trino/redshift/Mongo).
Experience with developing SAAS products over public cloud infrastructure - AWS/Azure/GCP.
Proven experience designing and developing distributed systems at scale.
Proficiency in queues, locks, scheduling, event-driven architecture, and workload distribution, along with a deep understanding of relational database and non-relational databases.
A demonstrated, genuine AI-first approach to engineering - using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A deeper understanding of software development best practices and demonstrate leadership skills.
Degree or equivalent relevant experience required. Experience will be evaluated based on the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
Desired Skills:
Technical expertise in Generative AI, particularly with RAG systems and Agentic workflows that use large language models.
Experience with Big-Data/ML and S3
Hands-on experience with Streaming technologies like Kafka
Experience with Elastic Search
Experience with Terraform, Kubernetes, Docker
Experience working in a high-paced and rapidly growing multinational organization.

Requirements:
What We're Looking For:
3+ years of software engineering experience with backend systems
Strong proficiency in Python, TypeScript/Node.js, or Go
Experience with JSON-RPC, WebSockets, and real-time communication protocols
Knowledge of RESTful API design and implementation
Familiarity with database systems (SQL and NoSQL)
Understanding of authentication protocols (OAuth, JWT, API keys)
Experience with Model Context Protocol development or similar AI integration protocols
Understanding of AI model context management and data retrieval patterns
Knowledge of tool calling and function execution in AI systems
Familiarity with prompt engineering and context optimization
Military tech background (e.g., 8200, Mamram)- an advantage
English proficiency- required
Nice to Have:
Experience working with large language models and AI applications
Background in distributed systems and microservices architecture
Knowledge of streaming data processing and real-time analytics
Experience with AI development frameworks (LangChain, LlamaIndex, etc.)
Contributions to open-source MCP projects or similar protocols
Understanding of enterprise security and compliance requirements (SOC2, GDPR, HIPAA)

Requirements:
What We're Looking For:
6+ years of experience as a Full-Stack Software Developer
3+ years of Frontend Engineering experience with React
A strong understanding of frontend architecture
Ability to work and learn independently as well as in a team environment
B.Sc. in Computer Science / Software Engineering from a leading university or equivalent experience
Military tech background (e.g., 8200, Mamram)- an advantage
English proficiency- required
Nice to Have:
Experience with Golang
Passion for building developer tools
Experience with JavaScript
Experience with frameworks like ReactJS / NextJS
Background in Cyber Security, Identity or Authentication

Requirements:
What We're Looking For:
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:
What We're Looking For:
4+ years of experience in a DevOps Engineer role
Experience managing high-scale cloud environments
Proven ability to support and monitor 99.999% SLA systems
Significant experience developing on AWS Cloud
Experience with CI/CD methodologies
Coding experience in Python or TypeScript/JS
Close familiarity with software engineering tools, development methodology, and release processes
Experience managing large databases (millions/billions of rows, terabytes/petabytes of data)
Experience with Pulumi is a plus