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Requirements:
6+ years of Product Management experience, preferably working on highly technical products
At least 3 years of hands-on software development experience.
Strong technical background and the ability to work effectively with senior engineers on complex system-level problems
Experience with developer-facing products, infrastructure, observability, security, cloud platforms, or other deep-tech products
Strong understanding of software architecture and modern production environments
Ability to understand complex technical systems and quickly develop depth in unfamiliar technical areas
Excellent product judgment and ability to distinguish interesting technology from technology that creates meaningful customer value
Strong analytical and problem-solving skills
Ability to translate between engineering depth, developer needs, and business impact
Comfortable operating with ambiguity and owning problems end-to-end
Excellent communication and stakeholder management skills
Degree in Computer Science, Software Engineering, or a related technical field
Previous hands-on experience as a Software Engineer, Researcher, or in another highly technical role
Understanding of operating systems, runtimes, compilers, memory management, concurrency, or low-level programming
Experience with languages such as C, C++, Rust, Go, Java, or Python
Familiarity with Linux internals, containers, Kubernetes, eBPF, OpenTelemetry, or distributed systems
Experience building products for developers, Platform Engineering, DevOps, SRE, or engineering leadership personas
Experience taking a deeply technical product or capability from 0→1
Experience working in an early-stage startup or similarly fast-moving environment
Define and own the product strategy and roadmap for Runtime Internals
Develop a deep understanding of our runtime technology, architecture, and technical constraints
Work closely with highly technical Engineering and Research teams on complex, low-level product challenges
Translate customer and developer pain points into clear technical product requirements
Make product decisions involving tradeoffs between performance, reliability, compatibility, coverage, usability, and time-to-market
Identify opportunities to expand the capabilities and value of our runtime technology
Own features and capabilities from problem discovery through design, development, launch, and iteration
Work directly with customers and engineering teams to understand production environments, workflows, and technical challenges
Define product success metrics and use product data, customer feedback, and experimentation to continuously improve the product
Partner closely with Field, Sales, and GTM teams to translate deeply technical capabilities into clear customer value
Stay close to developments across runtimes, observability, developer tooling, cloud-native infrastructure, and AI-driven software development.

Requirements:
What you have:
3+ years in commission processing, finance ops, or revenue ops
Prior exposure to sales compensation or incentive plan administration
Comfort as a go between for business stakeholders and technical builders
Strong technical capabilities, high level Excel and familiarity with BI tools
Strong SQL skills, experience with cloud data warehouses like Athena or BigQuery
Sharp attention to detail, ownership of a recurring, deadline driven process
Ability to prioritize when month/quarter end volume ramps up
Strong written/verbal communication across business and technical audiences
Genuine interest in AI tools and data automation
Bonus Points:
Experience specifying or QAing a commission/payout calculation engine
Understanding of SaaS models and ARR mechanics
Jira or similar ticketing system experience
Salesforce or other CRM proficiency
Python for data analysis, automation, and modeling
AI/ML tool design or implementation in finance
Being introduced by a team member.

Requirements:
What you have:
3+ years in commission processing, finance ops, or revenue ops
Prior exposure to sales compensation or incentive plan administration
Comfort as a go between for business stakeholders and technical builders
Strong technical capabilities, high level Excel and familiarity with BI tools
Strong SQL skills, experience with cloud data warehouses like Athena or BigQuery
Sharp attention to detail, ownership of a recurring, deadline driven process
Ability to prioritize when month/quarter end volume ramps up
Strong written/verbal communication across business and technical audiences
Genuine interest in AI tools and data automation
Bonus Points:
Experience specifying or QAing a commission/payout calculation engine
Understanding of SaaS models and ARR mechanics
Jira or similar ticketing system experience
Salesforce or other CRM proficiency
Python for data analysis, automation, and modeling
AI/ML tool design or implementation in finance
Being introduced by a team member.

Requirements:
Engineering Excellence / Mindset
Ability to anticipate technical risks, identify bottlenecks, and drive long-term engineering improvements.
Takes ownership of code quality, documentation, reliability, and observability.
Comfortable working with product teams to balance technical trade-offs with user and business needs.
Autonomous and proactive; capable of mentoring others or leading technical initiatives.
Bonus Points
Background in security agents, observability tools, or other components deployed directly into customer environments.
Experience with APM agents, JVM agents, Python tracing, V8 internals, or other instrumentation/profiling frameworks.
Experience with telemetry systems (metrics, tracing, logging) including batching, rate-limiting, and safe data collection.
Familiarity with sampling techniques, bytecode manipulation, eBPF, or low-overhead tracing.
Exposure to safety-critical or high-throughput environments where reliability and minimal overhead are mandatory.
Contributions to open-source instrumentation, tracing, or internals-related projects.
Requirements
This is a full-time on-site position located in Tel Aviv.
Ability to thrive in a dynamic, fast-paced startup environment is essential.
Experience
5+ years of hands-on research or development roles.
Deep expertise in at least one runtime (Node.js, Python, or Java/JVM), including understanding of internals (event loop, GC, tracing hooks, bytecode/JIT, etc.).
Hands-on experience building in-process production components (SDKs, agents, profilers, monitoring/security tools) that must be safe, stable, and backward-compatible.
Strong performance engineering skills - profiling CPU/memory, avoiding overhead, understanding how instrumentation affects runtime behavior.
Defensive engineering mindset - experience designing systems that fail-open, degrade gracefully, protect the host application, and never introduce instability.
Track record debugging production issues (latency, memory leaks, regressions, deadlocks) in real-world distributed systems.
Solid understanding of modern backend architectures - experience with microservices, distributed systems, async and event-driven patterns, containers/orchestration (Docker/K8s), cloud runtimes, and the performance or reliability challenges they introduce.
Proven ability to ship stable, resilient, maintainable systems in production.

Requirements:
;What you have
Certified Bookkeeper type 2
1-3 years of bookkeeping experience
Experience with a global ERP system NetSuite - a must
English - high proficiency (both spoken and written)
Strong Excel skills
Well organized approach: High attention to details, independent, motivated and able to work with limited supervision
Good technical orientation, able to work in a rapidly changing environment.
Bonus Points:
Experience in a global high-tech company.
Experience with DOKKA/ MESH.

Requirements:
What you have:
7+ years of experience in security architecture, cloud/infrastructure security, application security, or DevSecOps roles.
Proven experience leading security design reviews and architecture work across multiple R&D teams or domains.
Strong understanding of SSDLC practices and how to scale them across a large engineering organization.
Deep knowledge of cloud-native architecture and services (AWS, GCP).
Hands-on experience securing CI/CD pipelines, containers, and infrastructure-as-code (e.g., Terraform, Kubernetes).
Deep knowledge of network and identity security concepts, such as zero trust, IAM, and secrets management.
Proven experience working with product and R&D teams performing architecture.
Experience working in a SaaS product company at scale.
Excellent communication skills, with the ability to translate complex technical risks into clear business impact and to influence senior R&D stakeholders.
A proactive mindset, strong problem-solving ability, and a passion for designing secure, scalable systems.
Strong collaboration skills and the ability to drive change across cross-functional teams.
Bonus Points:
Experience in high-scale distributed SaaS environments.
Certifications such as GCP or AWS Certified Security Specialty, OSCP or OSWE- Advantage
Being introduced by a team member.

Requirements:
What we need to see:

B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field.

6+ years of experience in software development and building production-grade software systems.

1+ years of experience building LLM-based solutions, AI agents, and AI workflows.

Proficiency in Python.

Strong understanding of modern AI concepts and practical applications.

Proficiency in Python.



Ways to stand out from the crowd:

Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques.

Experience developing large scale software, including in a micro services architecture.

Experience with vector databases, embedding technologies and RAG systems.

Experience developing AI agent architectures and orchestration systems.

Requirements:
What you have:
3+ years of experience in Application Security, Penetration Testing, or Product Security in a SaaS company
Deep understanding and hands-on experience of web application security, including OWASP Top 10, authentication, encryption, and secure coding principles
Proficiency in scripting or programming languages (Terraform, Python, JavaScript, Go, etc.) for security automation and infrastructure.
Experience with cloud security best practices (AWS, GCP, or Azure)
Strong communication skills, with the ability to explain security risks and recommendations to technical and non-technical stakeholders, including executive management
Experience working with large-scale, complex R&D environments
Bonus Points:
Hands-on experience with DevSecOps and integrating security tools into CI/CD pipelines
Bachelor's degree in Computer Science, Information Security, or a related field (or equivalent experience)
Being introduced by a team member.

Requirements:
What we need to see:

BSc/MSc in Electrical Engineering, Computer Science from a known university.

Experience in developing simulation models.

4+ years of experience in a relevant role as chip architecture or system integration

Knowledge and understanding of computing and networking systems.

Strong debug skills.

A can-do attitude and high energy with leadership and excellent interpersonal skills and possess the ability to learn complex concepts in a fast pace environment.

Utmost passion for attention to details in design and a high focus on design quality.

Ways to stand out from the crowd:

Experience and love for system architecture, CPU/GPU/Memory/Storage/Networking.

We are widely considered to be one of the tech worlds most desirable employers.

Master's degree in Electrical Engineering, Computer Science or related technical field.

5+ years of relevant practical experience.

Experience with network simulation tools (omnet, ns3, sst, gem5).

Requirements:
4+ years of software development experience, including strong hands-on experience in modern C++.
Proven experience leading software engineers, technical projects, or development teams.
Strong understanding of data structures, algorithms, concurrency, multithreading, and performance optimization.
Experience developing high-performance, low-latency, or large-scale distributed systems.
Strong experience working in Linux environments.
Solid understanding of software architecture, design patterns, and scalable system design.
Demonstrated ability to drive technical initiatives from concept to production.
Strong analytical and problem-solving skills.
Excellent communication, collaboration, and leadership abilities.
Advantage:
Experience serving in a technological military unit.
Experience with cellular networks and telecom technologies, including 4G/LTE, 5G, Core, or Radio networks.
Strong knowledge of networking protocols and network architecture.
Experience working with high-throughput, low-latency, or real-time systems.
Experience building distributed systems or network infrastructure products.
Familiarity with Kubernetes, cloud-native technologies, microservices, and containerized environments.
Experience with performance profiling, optimization, and large-scale production systems.
Background in cybersecurity, network intelligence, or monitoring and analytics platforms.

Requirements:
Good interpersonal and communication skills, with a customer-oriented approach.
Reasonable English communication skills, both written and verbal.
Administrative/collection /bookkeeping background - an advantage.
Knowledge in Oracle Cloud - an advantage.
Highly organized, detail-oriented and able to work independently.