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Requirements:
Degree in Accounting and CPA license.
Big 4 experience; prior exposure to a public company or Hi-Tech environment is preferred.
6-8 years of accounting experience following a Big 4 internship.
Experience with monthly, quarterly, and annual closing processes.
Proven ability to work in fast-growing environments, managing multiple priorities and meeting tight deadlines.
Highly organized, with exceptional attention to detail, accuracy, and precision; hands-on, proactive, and solution-oriented.
NetSuite experience required.
Strong knowledge of IFRS.
Experience leveraging AI tools (Claude) in finance processes.
Excellent written and verbal English.
Team player with strong communication and interpersonal skills.

Requirements:
Proven track record of execution: 5+ years of engineering experience and a track record of shipping real, impactful product.
Startup energy: You like rolling up your sleeves, moving fast, and figuring things out. You dont need a 30-page spec to start building.
Curiosity and collaboration: You care about learning, user impact, and making the people around you better.
Pragmatic problem-solving: You love tackling ambiguous problems, breaking them down, and shipping smart solutions without over-engineering.
Clear communication: You can explain technical decisions in plain language, listen well, and adapt fast.
Backend: JavaScript, express, postgresql. Frontend: JavaScript, React
Knowledge in AWS + Azure.

Requirements:
Availability for 2-3 shifts per week, mainly nights and weekends.
High proficiency in English - both spoken and written.
Currently pursuing a technical Bachelors degree (2nd/3rd year) in Industrial Engineering, Information Technology, or a related field, with approximately 3 semesters remaining.
High proficiency in English - both spoken and written - must.
Proficiency in SQL; ability to write complex queries is an advantage.
Strong problem-solving skills with the ability to prioritize and resolve issues effectively.
ability to use AI tools to independently investigate issues, find solutions, and optimize workflows.
Excellent communication skills and ability to collaborate with cross-functional teams.
Detail-oriented, with the capacity to handle multiple tasks and respond quickly in urgent situations.
Experience with any of the following is advantage: Python scripting and Git, Logs and Monitoring systems.

Requirements:
5+ years of hands-on experience building large-scale, production cloud systems end-to-end - architecture design, development, testing, and operating them in production.
Strong, broad software engineering foundations: solid grasp of software design principles, concurrency, data structures, and cost/performance trade-offs, and the judgment to know when each matters.
Hands-on experience with cloud-native, event-driven architectures (e.g. AWS Lambda and batch, SQS, S3 - or equivalent) and with modern data warehouses such as Snowflake / BigQuery / Databricks and pipeline tooling (dbt / Airflow / Spark / Glue).
Comfortable working across the whole stack and across domains: data pipelines, backend/applicative services, and a willingness to reach into ML/algorithmic code and frontend/UI when the work calls for it. You're a generalist who isn't scared of unfamiliar territory.
Proficiency in Python or a similar general-purpose language (e.g. Go, Java, Scala, C#, TypeScript/Node) - and the adaptability to pick up Python, our primary language, quickly.
A genuine "can-do" attitude and a strong sense of ownership - comfortable being accountable for systems end-to-end on a small team.
A team player with excellent communication skills, strong independent-learning ability, and the curiosity to explore new fields and constantly improve.
BSc in Computer Science / Engineering or equivalent (MSc an advantage).
Advantage:
Experience with applied ML / experimentation systems - recommendation, ranking, bandits, A/B testing, or causal inference.
Frontend / UI experience (we build our own dashboards and config tooling).
Containers and orchestration - Docker, Kubernetes, ArgoCD.
Infrastructure-as-code - Pulumi or Terraform.

Requirements:
Required Qualifications:
7+ years of product management experience delivering customer-facing products.
Demonstrated experience owning product strategy and roadmap development.
Experience leading complex cross-functional initiatives from concept through launch.
Strong analytical and data interpretation skills.
Excellent written, verbal, and executive communication abilities in English.
Strong presentation and storytelling skills - ability to craft compelling narratives for leadership, stakeholders, and cross-functional audiences.
Proven success influencing stakeholders at multiple organizational levels.
Experience working closely with engineering and design teams.
Bachelor's degree in business, Engineering, Computer Science, or related field.
Preferred Qualifications:
Experience mentoring product managers and contributing to organizational product practices.
Experience working across geographies or with distributed teams.

Requirements:
5+ years of professional software development experience, with meaningful hands-on Python experience.
Strong software engineering skills, including system design, clean architecture, testing, performance, scalability, robustness, and maintainability.
Proven end-to-end ownership of software components, from design and architecture through implementation, testing, optimization, and productionization.
Strong algorithmic problem-solving skills, with experience implementing complex algorithms or solving mathematically intensive engineering problems.
Experience in an R&D or technically deep industry environment, including algorithmic, mathematical, scientific, or research-driven development.
Experience taking research prototypes or algorithmic concepts into production and turning them into robust, maintainable software.
BSc in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a closely related quantitative field - required.
Nice to Have
Relevant MSc in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics, or a closely related quantitative field.
Prior exposure to quantum computing, quantum algorithms, or quantum software - a strong advantage
Effective use of modern AI-assisted development tools and workflows as part of day-to-day software engineering.

Requirements:
5+ years of Product Management experience.
Proven experience in successfully bringing to market B2B software products.
Domain expertise in one or more of these areas: networking, cloud, AI, security, analytics, operations, business portals.
GenAI proficiency in PLCM & SDLC processes and deliverables.
Strong customer-centric mindset and passion for user experience.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management skills.
Relevant academic background.

Requirements:
Minimum of 10 years of experience as a software engineer, with a proven track record in large-scale, production-grade software development projects.
At least 4 years in a management or group leadership role, ideally overseeing high-output teams.
A degree in Computer Science, Engineering, or a related field from a reputable university- An advantage
Leadership and Interpersonal Skills:
Strong communication and leadership skills, capable of effectively motivating and managing software development teams.
Experience in leading leaders- An advantage.
Excellent interpersonal skills and a team-oriented mindset.

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:
PhD in quantum computing, physics, computer science, mathematics, or a related field.
Strong programming skills, preferably in Python.
Expertise in one or more of the following fields is a strong plus: quantum algorithms research, quantum error correction, quantum chemistry, theoretical condensed matter physics, classical optimization problems, theoretical atomic molecular and optical physics, quantum information theory, machine learning, and AI.
Excellent technical and scientific communication skills in English, both verbal and written.

Requirements:
Required Skills and Experience :
A Ph.D. (or equivalent experience) in computer science, electrical engineering, or a related STEM field with a focus on artificial intelligence.
A proven track record of academic publications in credible conferences or journals, such as ICML, ICLR, NeurIPS, CVPR, ICCV/ECCV, ICRA, IROS.
Nice To Have Skills and Experience :
Experience working with edge devices.
Experience with simulation environments for audio, robotics, or related AI applications.

Requirements:
10+ years of Project Management or Technical Project Management experience
Strong technology background with deep understanding of software development and modern SDLC practices
Proven experience leading large-scale, complex programs across multiple teams and organizations
Excellent stakeholder management and executive communication skills
Experience working with global teams across different geographies and time zones
Ability to influence without direct authority and drive alignment among diverse stakeholders
Experience leading AI, GenAI, Developer Productivity, or Digital Transformation initiatives
Hands-on experience with AI tools such as GitHub Copilot, Microsoft Copilot, Claude, ChatGPT, or AI Agents
Familiarity with Agile, DevOps, Jira, Azure DevOps, GitHub, and modern engineering practices
Passion for helping organizations adopt new technologies and ways of working.

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:
Required Skills and Experience:
B.Sc. or higher in Electrical Engineering, Computer Engineering or Computer Science.
8+ years of experience in hardware verification of complex digital designs or SoCs.
Strong experience with SystemVerilog and UVM.
Hands-on experience developing and maintaining AI-powered tools, agents, and skills, including prompt design, evaluation, and integration into engineering workflows.
Solid understanding of constrained-random and coverage-driven verification methodologies.
Experience developing reusable verification environments and testbenches.
Good scripting skills using Python, Perl or similar languages to support automation.
Strong debugging and problem-solving skills with a system-level approach.
Excellent communication and collaboration skills, with the ability to work effectively across multi-disciplinary engineering teams.
"Nice To Have" Skills and Experience:
Experience verifying GPU architectures or other complex graphics or multimedia IP.
Experience with Arm-based processors or Arm IP.
Knowledge of formal verification or Design for Verification (DFV) techniques.
Experience with logic design or microarchitecture.
Familiarity with continuous integration systems and verification automation frameworks.

Requirements:
10+ years of experience in processing payroll with experience working with external payroll providers and HRIS modules (Workday preferred) and Hilan. Experience with equity reporting (RSUs and Stock Options).
You have in-depth knowledge of payroll regulations, tax laws, and labor legislation in Israel.
Experience managing a team
Excellent written and verbal communication skills in English. Must have the ability
to effectively collaborate with all levels/functions throughout the company
A problem-solver with the ability to identify issues and implement solutions proactively.
Experience with executing automation projects and willingness to use AI in simplifying work.
You might also have (optional)
Experience with processing payroll in Workday
Experience processing payroll with Cloudpay.