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Required Staff Data Scientist
Job Description
As a Staff Data Scientist, youll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, youll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data.
What you get to do in this role:
Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features.
Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment.
Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling.
Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions.
Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering.
Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to our products.

We are looking for a highly skilled and experienced software engineer to join our R&D department. As an engineer, you will be responsible for developing innovative, scalable, and high-quality features in our product. This role involves tackling complex technical challenges in a high-scale, performance-sensitive environment.

You will:

Design and implement engineering solutions, ensuring high-quality and scalable code.
Tackle complex technical challenges, identifying root causes, and delivering timely, effective solutions for customers requests and problems.
Collaborate closely with cross-functional teams .

We are looking for an experienced manager to drive the development of our cloud sensor - the industrys most efficient security tool for monitoring application-layer attacks in real time.

What youll be doing:

As the sensor group lead, you will be responsible for leading several teams of highly skilled low-level engineers. This group is responsible for developing the Oligo sensor, which is deployed in customer environments to monitor their applications in real time for detecting and blocking cyber attacks in cloud environments. You will drive the development of innovative, scalable, and high-quality capabilities in our sensor, while maintaining low overhead and high performance.

You will:

Lead the technological vision of our sensor, overseeing the full development lifecycle, including design, implementation, testing, deployment, rollout, and validation.
Take an active part in design decisions, leading the sensor architecture to maintain high performance, scale and enterprise grade quality.
Lead a group of low-level engineers, build efficient processes, provide mentorship to drive high performance, recruit strong talent, and ensure strong development velocity.
Collaborate closely with research, engineering, and customer-facing teams , turning innovative security concepts into reality.

Required Staff Software Engineer - Product Security
Job Description
Our Product Security organisation is building a dedicated Security R&D function - a software engineering team that builds security capabilities with the same engineering rigour as our product organisation. We are looking for a Staff Security Engineer to be a core contributor on this team.
Security R&D operates in two complementary modes: open contribution to product engineering - writing code alongside product teams where security expertise adds value - and developing its own security capabilities, including internal tooling, externally facing product features, AI-powered security automation, and third-party integrations.
This is a new team being stood up in Petah Tikva, Israel, co-located with our AI Security Research team. You will help shape the teams engineering practices and technical foundation from day one.
This role reports to the Sr. Engineering Manager, Security R&D.
What You Will Do:
Build Security Capabilities:
Design and develop security tooling, automation, and platform services that operate at our enterprise scale.
Contribute code directly into our product engineering codebases, embedding security capabilities where they have the highest impact.
Build AI-powered security automation by integrating in-house models and third-party services into production workflows.
Leverage our platform - Agent Framework runtime, ACL enforcement, data layer, and workflow engine - to create security capabilities that external vendors cannot match.
Collaborate Across Teams:
Work closely with the AI Security Research team on tooling for AI agent security, translating research insights into production-grade engineering.
Partner with product engineering teams during open contribution engagements, earning trust through code quality, reliability, and delivery.
Participate in design reviews, code reviews, and architecture discussions, contributing to the teams technical standards and engineering culture.
Grow with the Team:
Help define engineering best practices as a founding member of the Security R&D team.
Contribute to hiring and onboarding as the team scales, helping maintain the engineering bar.
Stay current on emerging AI/ML technologies and security threats, bringing new ideas into the teams roadmap.
What Makes This Role Unique
Builder-led culture: Security R&D is defined by engineering output, not advisory reviews. We build production security capabilities with the same discipline as product engineering.
Dual operating model: The team both contributes directly to product engineering and develops its own security products and services.
Platform advantage: we own the entire stack - runtime, ACLs, data layer, workflow engine. You will build security capabilities that no external vendor can replicate.
Founding team: This is a new team being built from scratch. You will shape its engineering culture, technical standards, and identity from day one.
AI intersection: The role sits alongside the AI Security Research team, placing you at the frontier of securing AI systems at enterprise scale.

Required Backend Engineer
About the job Backend Engineer
We are on a mission to rebuild the way justice is being served. Our data-driven platform allows our clients to easily exercise their legal rights by unlocking the access to the court system. We provide an end-to-end solution by combining the technology, funding and expertise needed to resolve any civil case efficiently. We are a fast growing legal tech startup, aiming to help people with their legal disputes by making justice accessible. We are rebuilding the entire way clients handle small legal cases, lowering the bar and reducing friction for $70 billion in case value filed in US courts every year.
We are a group of tech-savvy individuals who are always open to more growth and learning opportunities.
What Youll Do?
Take significant role in our core backend team.
Design & develop new micro services.
Solve complex architecture problems.
Develop infrastructure components to be used across multiple micro services.
Build isomorphic JavaScript packages to be shared across a client & server mono repo.
Use Google Cloud Platform to bundle, build and deploy our products.
What We Offer:
A competitive compensation package of early-stage equity.
Take a major role in the companys success.
Join our experienced highly motivated and fast-moving team.
To do a lot of fun while developing features to improve peoples life.
Our Tech Stack
Node 16, MongoDB Cluster, Cloud Functions, Mono Repo (Lerna), isomorphic JS components, Micro services, Everything is in GCP.

We are looking for highly motivated, unique individuals to join our company for the next phase of our fast moving story.
This Software Engineer role is an opportunity to be one of the first employees to join the team and make a significant impact. Through impeccable software, you will help our customers solve one of the biggest pain points they have encountered, making their life better.
What Youll Do?
Take a significant role in our core backend team.
Design & develop new micro services.
Solve complex architecture problems.
Develop infrastructure components to be used across multiple micro services.
Build isomorphic JavaScript packages to be shared across a client & server mono repo.
You will use Google Cloud Platform to bundle, build and deploy our products.
What We Offer?
A competitive compensation package of early-stage equity.
Take a major role in the companys success.
Join our experienced highly motivated and fast-moving team.
To do a lot of fun while developing features to improve peoples life.
Our Tech Stack
Node 16, MongoDB Cluster, Cloud Functions, Mono Repo (Lerna), isomorphic JS components, Micro services, Everything is in GCP.

We are building the core infrastructure and operating system for autonomous platforms.
Our platform enables real-world autonomous operations by coordinating drones, docking stations, edge systems, operators, and external systems in real time. It serves as the operational backbone for mission execution, command and control, communication, telemetry, orchestration, and fleet coordination across distributed autonomous environments.
This is not a typical backend role.
You will work at the intersection of distributed systems, Command & Control (C2), autonomous platforms, and real-world operations.
We are looking for engineers who are comfortable entering complex and unfamiliar systems, quickly understanding how they work, and turning operational concepts into clean software models and architectures.
You should enjoy reasoning about entities, relationships, state, events, commands, missions, resources, and system boundaries - and designing software that represents and coordinates them reliably.
The platform includes:
Command & Control capabilities for autonomous systems
Fleet orchestration and mission lifecycle management
Real-time communication between distributed autonomous components
Modeling and management of operational entities, states, and relationships
Telemetry, video, and operational data processing
Device interoperability across heterogeneous autonomous platforms
SDKs and APIs for platform integration and extensibility
AI agents and intelligent automation interacting with operational systems
As a Senior Engineer, you will help shape the technical foundation and domain architecture of the platform while solving complex problems across distributed systems, autonomous operations, and Command & Control.
Responsibilities
Design and build software systems for autonomous platform operations and Command & Control
Translate complex operational requirements and domain concepts into robust software architectures
Model operational entities, relationships, state transitions, commands, events, and workflows
Lead architecture and system design decisions across services, communication layers, and domain boundaries
Build scalable, low-latency, resilient production services
Design reliable communication and messaging flows between distributed system components
Solve complex challenges involving concurrency, scalability, latency, synchronization, and fault tolerance
Build abstraction layers for integrating heterogeneous autonomous devices, platforms, and external systems
Develop internal SDKs, APIs, and reusable infrastructure components
Design systems that can be consumed and operated by humans, autonomous components, and AI agents
Improve observability, debugging capabilities, and operational reliability
Drive engineering best practices, clean architecture, and code quality standards
Explore new technologies and approaches when existing solutions are not sufficient

we are a leading company specializing in the development and manufacturing of autonomous drone systems. Its solutions combine hardware, software, and AI-driven technologies to support complex, large-scale operations. our company works primarily with defense industries, such as military and law enforcement agencies worldwide. The company is part of Ondas Holdings and operates as a wholly owned subsidiary.
We are looking for an experienced Technical Writer.
Responsibilities
Write, update, and maintain technical and operational documentation, including manuals, procedures, work instructions, user guides, and maintenance documentation.
Write, edit, format, and organize documents in Microsoft Word according to defined templates, style guides, and documentation standards.
Update and modify diagrams, process flows, and flowcharts using Microsoft Visio.
Collect, analyze, and structure technical information from engineering teams, product teams, and subject matter experts.
Collaborate with technical teams and SMEs to create, review, validate, and update documentation.
Ensure documentation is accurate, clear, consistent, and suitable for the intended audience.

We are looking for a Head of RL Gym to own the end-to-end delivery, quality, and scaling of RL Gym programs for our strategic AI partners.
You will work closely with frontier-model teams, Delivery, Product, Sales, Research, and Operations to turn complex customer and model-development needs into high-quality, scalable programs.
What Youll Own
Own partner delivery from scoping through launch, execution, scaling, and iteration.
Translate research and model needs into clear program requirements, workflows, and success metrics.
Work closely with frontier-model teams to identify model gaps and design RL Gym programs that address them.
Own quality standards and quality assurance, ensuring consistent, reliable outputs across programs.
Build the processes, systems, and operating model required to scale programs efficiently without compromising quality.
Partner with Sales on customer discovery, solution design, scoping, and expansion opportunities.
Work closely with Product to translate partner needs and operational learnings into product requirements and roadmap priorities.
Build strong feedback loops across customers, model teams, Sales, Product, and Operations.
Own operational performance across quality, capacity, timelines, cost, throughput, and partner satisfaction.
Build and lead the program management and operations function as the business scales.

We're looking for an exceptional, hands-on technical leader to join our core engineering team as a true force multiplier and technological anchor for the company. You'll have the flexibility to drive high-impact initiatives from conception to production, own complex technical and AI domains end-to-end, or guide and level up a focused delivery team, operating with a high degree of autonomy in an ambiguous, fast-moving environment.
What You'll Do:
Drive strategic initiatives: lead complex technical projects, AI feature developments, and core architectural components with an ownership mindset.
Architect for AI & data at scale: design robust, scalable infrastructure and pipelines capable of handling massive volumes of cloud infrastructure data.
Bridge product, AI & tech: collaborate closely with Product Managers and data specialists to translate business roadmaps into high-performance technical systems.
Promote engineering excellence: establish development guidelines, lead design and architecture reviews, and raise the bar for code quality across teams.
Mentor & guide: act as a technical mentor to fellow engineers through hands-on collaboration, deep code reviews, and architectural consultation.

our company's RL Gyms team builds adversarial environments and evaluations that the world's leading AI labs use to test and train their most capable agents. Every engagement is a delivery project: a lab specifies what it needs to measure, and we produce the environments, adversarial tasks, and verifiers that measure it, against a deadline and a quality bar the customer sets.
Our customers are the frontier labs. You'll work alongside the people building the models everyone else is reading about, on the problems they haven't solved yet, and what you ship becomes part of how they decide whether an agent is safe to release. Very few roles put you that close to the frontier.
We're looking for a Technical Project Manager to own those projects. You'll run several lab engagements at once, each with its own researchers, engineers, and reviewers. You decide who works on what, you hold the schedule, and you decide whether a batch is good enough to ship.
The field is cutting edge and the projects change shape faster than any playbook can describe.
What you'll do
Project ownership
Own concurrent lab engagements end-to-end: scope, milestones, delivery, and status
Turn a customer specification into a task plan with your researchers and engineers: how many tasks, in which environments, against which models, by when
Track every batch through the pipeline (in progress, under review, approved, delivered) and keep the delivery record accurate enough that anyone can read the state of a project in a minute
Surface a slipping deadline early, with the tradeoff already worked out: cut scope, add capacity, or move the date
Researcher allocation and quality
Allocate researchers, task writers, and reviewers across projects based on throughput and specialty
Own their onboarding: brief them on the environment, the attack pattern, and the acceptance criteria, then get them to their first accepted task fast
Give quality feedback on rejected work and spot the patterns behind repeat rejections
Manage the review chain so that no batch reaches the customer before it has cleared internal review.

We are hiring an Engineering Manager to own and grow the Data Science group - the R&D team behind our company's security and safety AI models and the data platform that powers them. You will lead a multidisciplinary team of ML engineers, data scientists, and software engineers who ship real-time inference at scale, automated red-teaming of GenAI systems, and the Databricks/Spark data platform underneath. This is a hands-on people-leadership role: you set technical direction, are accountable for delivery and quality, and you build and grow the team.
What your team owns
The group is responsible for a large Python + Rust + PySpark monorepo (dozens of production services and shared libraries) spanning three connected domains:
1. Content-moderation inference at scale
Real-time, multi-tenant detection across text, image, video, and audio - hate speech, CSAM, nudity, child grooming, extremism, PII, prompt injection, age estimation, and more - served through an in-house ActiveServe framework over NVIDIA Triton and a Rust detection monolith, on latency-sensitive, SLA-bound, customer-facing traffic with per-customer custom models.
2. GenAI safety & red-teaming
Automated red-teaming that attacks customers' LLM applications with a research-driven attack taxonomy and measures attack-success rate, alongside the defensive side - LLM-as-judge escalation to cut false positives and the tooling that authors and refines moderation policies - built on a multi-provider LLM foundation (Bedrock, Anthropic, OpenAI, Gemini, xAI Grok) and forming our company's leading edge into agentic-AI safety.
3. Data platform & MLOps
An end-to-end lakehouse and MLOps stack on Databricks - bronze/silver/gold ingestion, PySpark pipelines, and model training, versioning, and promotion through MLflow / Unity Catalog into Triton serving - with the performance-critical hot paths engineered in Rust (PyO3/maturin) for sub-millisecond, high-QPS matching and detection.
What you'll do
Lead and grow the team - mentor ML engineers, data scientists, and software engineers, and own hiring, onboarding, 1:1s, career development, and performance.
Set direction and deliver - set technical direction and standards, turn company and product goals into a prioritized roadmap, and own the quality, reliability, and delivery of the systems above across parallel workstreams.
Champion excellence and partnership - stay hands-on to review designs and unblock the team, drive engineering excellence (testing, observability, CI/CD, on-call, cost/latency), keep the team at the state of the art in ML, LLMs, and GenAI safety, and partner with Product, Platform, and GenAI-safety stakeholders.
Leadership competencies
People-first: builds trust, grows engineers, and creates a healthy, inclusive, high-ownership culture.
Outcome-oriented: drives clarity, sets priorities, and delivers under ambiguity without micromanaging.
Technical credibility: earns the team's respect through sound judgment on architecture and trade-offs.
Systems thinker: balances short-term delivery against long-term platform health, cost, and tech debt.