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at the company, were reinventing devsecops to help the worlds greatest companies innovate. our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. we are a special place with a unique combination of brilliance, spirit, and just all-around great people. thousands of customers, including the majority of the fortune 100, trust the company to manage, accelerate, and secure their software delivery from code to production - a concept we call liquid software. wouldn't it be amazing if you could join us on our journey?
we're looking for an experienced data Scientist to join our ds team under the CIO office. the key responsibilities are to provide our internal business partners with robust, reliable, and innovative ai / ml / ds solutions for their business problems, providing direct value to the business. an ideal candidate blends solid data science foundations, proven backend engineering skills, and a demonstrated track record building real-world systems. you should be able to take an idea (or propose one) and independently work from poc to production mvp, know when to move fast and when to slow down, while continuously communicating with stakeholders as their trusted partner, and enjoy collaborating with members of the team.
as a data Scientist at the company you will...
listen to our business stakeholders and their challenges and propose data -driven solutions to problems using ml models and advanced statistical methods. for example, a classifier for a rare event that will trigger business action, or a time series predictor in a noisy environment that will affect business planning.
work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production.
own ml models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a ds perspective.
rapidly prototype new ideas (e.g., custom rag-based solutions, agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize.
be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in that domain.
look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas.
be an independent contributor with excellent communication skills, both in writing and verbally.

Our Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across us build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer.
What am I going to do?
* Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes.
* Design and operate large scale batch and near real time data processing, including correctness, freshness and cost.
* Build the retrieval and serving layers that make our data usable in real time.
* Decide what runs on which LLM model, and prove the choice with numbers rather than intuition.
* Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring.
* Build agentic workflows that makes the whole team faster, and help set the standards others work to.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports personalization team in Israel. Our team is dedicated to developing state-of-the-art science to personalize the customer experience and help customers seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as information retrieval, sequential modeling, realtime model optimizations, utilizing Large Language Models (LLMs), and building state-of-the-art complex recommender systems.

Key job responsibilities
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to develop new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with the latest technologies in recommender systems and search.

You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Recommender Systems. We expect you to thrive in ambiguous situations, demonstrating proven analytical abilities and comfort in collaborating with cross-functional teams and systems.

The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

What will you do:
Develop and refine machine learning models and generative AI systems to automatically understand and categorize risks in Application Lifecycle Management systems.
Collaborate with product and engineering teams to integrate AI tools seamlessly into existing workflows, enhancing the proactive identification of security risks.
Analyze data from a variety of sources, ensuring that the AI systems adapt to new patterns and insights dynamically.
Participate in the ongoing development of our AI capabilities, pushing the boundaries of automated security risk assessments.
Communicate complex AI concepts and the benefits of proposed solutions to non-technical stakeholders.

A fast-growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion-dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal-driven. At our core, we believe every voice has value and can impact our bottom line. We are looking for a Senior Product Manager to join our team and lead our CDP strategy. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! This role is based in Tel-Aviv or Jerusalem and reports to the Head of Product.

What you will be responsible for:
Own the strategy and roadmap for the CDP's data layer and its data sources, balancing the reliability, scale, and integration quality of a foundational layer with the pace of a live, revenue-generating product. Translate complex technical and architectural tradeoffs into product requirements and business impact, connecting platform decisions to adoption, ARR/MRR, and churn. Own both sides of the product lifecycle: the inbound work of discovery, specification, and technical decision-making, and the outbound work of launch, enablement, and adoption with customers and CSMs. Engage directly and regularly with customers, CSMs, and internal stakeholders, turning real-world data and integration challenges into product decisions. Partner closely with R&D leads and engineering to shape and execute the roadmap.


The top candidate will also have:
A background in marketing technology or finance-adjacent domains Passion and curiosity for emerging technologies, particularly applied AI Comfort operating with startup speed and urgency, balanced with the organization a foundational platform demands Experience working with international engineering counterparts or a parent company / strategic partner structure Openness to occasional travel to the US Strong leadership skills and a genuine desire to mentor others You are a storyteller who can distill compelling narratives from technical complexity and endless detail

Why you should join us:
An awesome global team of forward-thinking, innovative go-getters. A front-row seat to the strategic decisions shaping the company at a pivotal moment. Direct partnership with the C Level leadership team - exposure, ownership, and visibility from day one. Learning and growth opportunities within a fast-paced tech startup environment. As a part of our team, your success in this role is crucial to our company's growth, and we are committed to supporting you. Of course - Wolt+ and lots of yummy office treats!

We are looking for a Senior Backend Engineer (AI DLP) to join the team building our next-generation DLP product. The team is extending our data-security platform from understanding sensitive data at rest to protecting it at the moment it is used or shared-including across browsers, GenAI applications, and employee endpoints.

You will help build the control plane behind this product: the services that manage endpoint identity and enrollment, policies, classification, device configuration, telemetry, and the connection between our DSPM intelligence and real-time DLP decisions. This is a role with substantial technical ownership, direct customer impact, and close collaboration across Product, Research, Data, Frontend, and Infrastructure.

Responsibilities
Design and implement core backend components of our DLP control plane.
Own features end-to-end: architecture, implementation, testing, rollout, observability, and production operation.
Build secure, reliable multi-tenant services that communicate with browser extensions and endpoint agents deployed across customer endpoint fleets.
Connect our DSPM classification and policy systems with real-time endpoint enforcement, translating data-at-rest intelligence into actionable protection.
Design APIs and data models that support large endpoint fleets, frequent policy updates, offline clients, credential rotation, and safe software upgrades.
Improve the scalability, performance, reliability, and operational visibility of the DLP platform.
Conduct design and code reviews and help establish strong engineering practices.

We are looking for a Senior Cloud Engineer to join our Infrastructure team in Tel Aviv. In this role, you will be a key contributor to our AWS CDK projects, taking end-to-end ownership of high-impact infrastructure shifts like our migration to EKS. This is a hands-on position where youll balance long-term architectural projects with day-to-day support for our R&D teams, ensuring our cloud environment remains scalable, secure, and developer-friendly.

Responsibilities:

As a Senior Cloud Engineer, you will be the backbone of our infrastructure, ensuring that our cloud environment is scalable, secure, and developer-friendly. You will:

Serve as a core contributor to our central AWS CDK (TypeScript) project, ensuring every cloud resource-from S3 buckets to complex networking rules-is defined as code.

Act as a consultant for R&D and platform teams, helping microservice owners deploy new services and spin up sandbox environments while maintaining security standards.

Take end-to-end ownership of high-impact infrastructure shifts, including playing a key role in the transition from ECS Fargate to EKS.

Manage the lifecycle and maintenance of critical infrastructure components, such as security/observability agents and hosted open-source solutions.

Collaborate with our Boston-based teams on shared global projects to ensure architectural alignment and cross-region infrastructure support.

Balance long-term project work with active participation in internal help channels, troubleshooting real-time issues and resolving conflicts in central tools.

This position is a unique hybrid of a hands-on technical developer & leader with a highly analytical developer focused product manager.

Key Responsibilities:

~50% hands on development

Work together with your manager, other engineering managers, service owners and champions from various teams to understand their pains and prioritize the teams tasks accordingly.

Lead a team of engineers with a computer science background, keep their vision focused and aligned with management, teach them how to lead projects effectively, collect feedback and give good service to the engineers of the company.

Build decentralized ecosystems that are very easy to contribute to with vibe coding (Backstage, CLI tools, Microservice templates, Self Service, HELM Charts values, etc).

Drive high-impact, multi-team technical initiatives from ideation to delivery by establishing clear technical standards, defining trackable compliance metrics while securing the buy-in of other engineering leaders.

Lead Kubernetes (K8s) initiatives.

Manage research of cutting edge cloud native technologies.

We are seeking a Head of Research to build and lead our research group reporting to the Co-founder and CTO. You'll set the research agenda for how AI agents, spanning coding agents, SaaS AI platforms, cloud, and endpoints, can be abused, and you'll turn that research into the detections and runtime protections that define our product. You'll build the team, the threat intelligence function, and the processes that keep us ahead of a threat landscape that changes weekly. This is a hands-on leadership role. You'll still go deep on platforms and attack paths while scaling research into a core differentiator of the company. You will help define the field of Agentic Security and be one of its leading voices.

Responsibilities

Lead and grow the research team: Hire, mentor, and manage AI security researchers. Build a culture of rigor, speed, and ownership.

Own the research direction: Proactively identify emerging agentic threats and platforms, prioritize research projects, and set a roadmap aligned with product and customer needs.

Build threat intelligence processes: Establish how we collects, triages, and operationalizes threat intelligence on agentic attacks. This includes in-the-wild abuse, malicious MCP servers, skills and extensions, and new techniques from the research community.

Drive research into product: Partner closely with engineering and product so findings become production detections, runtime policies, and governance capabilities. Own the coverage and quality of our detection logic.

Define detection strategy: Set standards for detection logic across environments, including coverage models, efficacy measurement, and false positive and false negative management at enterprise scale.

Stay hands-on: Lead deep dives into platform architectures, monitoring and enforcement boundaries, and end-to-end PoCs for the most critical attack paths.

Represent us externally: Publish research, advisories, and vulnerability disclosures. Speak at leading security conferences and build our reputation as the authority on agentic security.

Support customers and the field: Provide research expertise for customer engagements, incident investigations, and strategic accounts.

Develop the optimization and computational-geometry algorithms at the core of us: for researchers who love hard, non-convex problems.

As a Technical Project Manager at Jeen, you will lead the delivery of enterprise-grade AI projects from planning through execution. Youll work closely with customers, engineering, and cross-functional teams to ensure smooth technical integrations, clear communication, and on-time delivery. This role combines strong project management skills with a solid technical background, enabling you to translate complex requirements into successful, scalable AI solutions in a fast-growing, innovative environment.

Lead complex implementations, own client relationships, and drive innovation in fast-paced environments where your technical expertise creates real business impact.

Responsibilities
Lead and manage full-cycle implementation projects, from planning to go-live
Own the client relationship from a technical perspective- requirements, customizations, installations, and version updates.
Oversee the installation of JEENs platform across dev, test, and production environments, including integration with client systems.
Collaborate with IT stakeholders and internal engineering teams.
Coordinate cross-functional project roles in a matrix environment.
Create detailed project plans, track progress, and ensure on-time delivery.
Manage and execute version updates and technical change processes with the client.

As a Platform DevOps Engineer on the Core Platform, you will improve, operate, and scale our platform infrastructure. You will help accelerate development and deployment workflows while establishing strong standards for reliability, observability, performance, and security across enterprise AI products.

Key Responsibilities
Design, build, operate, and continuously improve cloud-native platform infrastructure and Development, Test, and Production environments.
Build, automate, and optimize CI/CD and deployment workflows using GitHub Actions, GitOps, and Argo CD.
Manage, maintain, and optimize Kubernetes environments, containerized workloads, Docker, and Helm.
Develop and maintain Infrastructure as Code using Terraform.
Partner closely with R&D teams to improve reliability, observability, performance, and security across the platform.
Establish and maintain monitoring, measurement, and alerting capabilities, including Prometheus-based tooling.
Develop automation and scripting tools that improve operational efficiency and developer experience.
Promote responsible and effective use of AI-powered code assistance and development practices.
Identify infrastructure bottlenecks and risks, and drive solutions that improve platform stability, scalability, and efficiency.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.

Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

We are looking for an experienced backend developer to join our core backend team and help take our system to its next level.

As a backend developer, you will work alongside a team of highly curious and innovative professionals. You will be responsible for developing core services and solutions that process high volumes of real-time traffic under tight latency budgets. The role involves complex problem-solving, a broad view of the entire system, and a deep understanding of how we ingest and process traffic at scale.