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Were looking for a smart, hardworking, driven individual with superb energy, passion and initiative for growing and managing business within Israel's booming Financial Services Industry.
The Senior Enterprise Account Executive, Growth (FSI) role focuses exclusively on formulating and executing a sales strategy within an assigned territory, resulting in revenue grwth.
We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
What you will be doing:
Proactively, identify, qualify and close a sales pipeline within the Tech Enterprise segment
Strategically prospect into CTOs, VP Engineering/IT Leaders, & technical end users
Build strong and effective relationships, resulting in growth opportunities
Partner with our Solution Architects, Customer success teams and work closely with the Professional Services team to achieve customer satisfaction
Participate in our sales enablement trainings, including our comprehensive Sales Bootcamp, sophisticated sales training, and leadership and development programs

we are looking for highly skilled Machine Learning Engineer for an Algorithmic Trading Research Group in Tel Aviv. our company office is located at the TLV expo center, right next to TLV University train station and offers highly competitive compensation packages.
As a Machine Learning Engineer, you will be an integral member of an algorithmic trading team comprised of experienced technologists and quantitative researchers. Your team will work closely to solve challenging technical problems and contribute to our full tech stack, from hardware and software development to grid computing. You will be surrounded by cutting edge technology, offered training and continuing education opportunities, and given immediate responsibility. We are looking for creative technologists, natural programmers, and disciplined engineers eager to develop new technologies that directly impact our business.
How you will make an impact:
Build infrastructure for running Machine Learning algorithms on big data.
Optimize Machine Learning algorithms to run under latency constraints.
Parallelize Machine Learning algorithms to run on a parallel compute grid.
Build software for data acquisition and cleaning that can handle hundreds of terabytes of data.
Build data visualization tools for feature exploration and model verification.
Integrate Machine Leaning algorithms into trading strategies simulations to verify end to end performance improvements.
Contribute to technological innovation through exploration of cutting-edge hardware, software, and methods.
As an active member of the research team you will have an impact on the technological direction and the analysis of trade-offs between complexity and performance.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
Cool things youll do:
Our Cloud Associate TSE 1s form the front line of our cloud support team, directly responding to questions from our customers on areas such as connectivity, the availability of the Atlas service and questions about the UI or platform features. You will also be working with our engineering teams to escalate more complex customer problems. It's crucial that you ensure that questions are answered quickly and accurately and that our customers get the help they need, regardless of who provides the answers in the end. Our team combines their expertise with passion, initiative, teamwork and a great sense of humour to help our customers to be successful with around the globe.
If youre passionate about the opportunity to get comfortable working with the cloud every single day and be part of a team that works at the frontier of SaaS services and database systems, this is the role for you.

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
As a core member of the Professional Services team, you will
Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
Deliver customer classroom-based training to architect, developer and operations roles
Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
Cultivate your individual reputation as a trusted advisor to guide and our customers into the future
Partner with Product and Engineering teams to influence the direction of the product roadmap

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.
Role Overview & Key Responsibilities
People leadership: Recruit, mentor and develop individuals on the CSM team
Execution: Define and lead to a set of analytical metrics to guide the direction of the team; deliver against quarterly and long-term targets
Build programs: Craft and execute initiatives sought to grow customer retention, expansion, satisfaction, and product adoption
Executive presence and communication: Build and maintain relationships across teams, organizations and offices

we are seeking skilled and service-oriented Foreign Trade Bankers to provide expert advice and guidance to importers and exporters, as well as to the bank's business entities. The successful candidates will be able to work in a challenging environment and gain a foothold in the financial field. As a Foreign Trade Banker, you will manage and synchronize the various interfaces relevant to the client's activity, draft transactions tailored to customer needs, and perform transactions in the dedicated foreign trade system. The ideal candidate will be proficient in international trade laws, have prior knowledge of foreign trade, and be able to provide proactive and personalized service to clients.
We offer a dynamic and challenging work environment. If you are looking to build a career in the financial field and meet the qualifications for this position, apply now!

We are looking to speak to candidates who are based in Tel Aviv for our hybrid working model.

We are making the future of Mobility come to life starting today.
At our company we support the worlds largest vehicle fleet operators and transportation providers to optimize existing operations and seamlessly launch new, dynamic business models - driving efficient operations and maximizing utilization.
We are looking for a Project Manager to join our R&D Team at our company. You will be responsible for managing our core projects and deliveries, coordinating people and processes to ensure on-time delivery, at a high level, and with full transparency. You will be the go-to person for everything involving a projects organization and timeline, tracking performance, and implementing process changes that are required to meet our goals.
In addition to leading core R&D projects, this role will own key Product Operations processes, ensuring product planning, launches, data governance, KPIs tracking, and cross-functional alignment are executed with excellence and scalability.
Projects at our company are a highly collaborative effort. Things here move quickly so youll need to think on your feet, breaking down complex problems into steps that drive our projects at high velocity.
What you'll do:
Work directly with R&D and Product Management in an extremely dynamic environment to ensure successful delivery.
Maintain visibility and transparency of all project and product performance aspects, including defining, tracking, and reporting on Product and R&D KPIs.
Encourage collaboration between teams and other stakeholders
Manage dependencies and mitigate risks
Conducting post-project evaluations and identifying opportunities for improvement
Optimizing the value, cost and managing relationships with different suppliers used by the RnD team, like cloud providers or development tools.
Plan and kick off internal and external projects of the company.
Own and optimize Product Operations processes across planning, discovery, execution, and release.
Track and analyze Product KPIs, ensuring visibility, data integrity, and actionable insights.
Coordinate product ceremonies, roadmap syncs, and cross-functional planning sessions.

We are making the future of Mobility come to life starting today.
At our company, we support the worlds largest vehicle fleet operators and transportation providers in optimizing existing operations and seamlessly launching new, dynamic business models - driving efficient operations and maximizing utilization.
Were looking for a Head of Customer Success Management to own the end-to-end customer journey and ensure our clients achieve maximum value from our platform. This role will lead the team responsible for onboarding, adoption, retention, and growth across our customer base. The person in this role will act as both a strategic advisor to clients and the voice of the customer internally-partnering with Product, Sales, and Data Analytics to drive alignment and translate client needs into impactful initiatives.
What you'll do:
Lead and mentor a team that manages client relationships and ensures successful outcomes.
Develop playbooks and processes to drive engagement, adoption, and long-term partnerships.
Act as a senior sponsor for key accounts, building trust and influence at senior levels.
Lead some of our company's strategic projects hands-on.
Own metrics for customer retention, expansion, and satisfaction.
Guide teams in executing client-facing projects end-to-end: gathering requirements, aligning with Product/Engineering, and delivering measurable results.

What Were About
we are a fast-growing startup at the forefront of application security. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the AppSec space, were shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
About the Team
Our team is at the forefront of agentic AI - both within our company and across the broader Application Security space. We lead the development of AI-powered, agentic security capabilities within our ASPM product, driving innovation from early experimentation all the way to production, deployment, and continuous monitoring.
As a cross-functional team, we specialize in turning cutting-edge Machine Learning, Data Science, and agentic AI into scalable, real-world solutions that power our companys platform.
What You Will Do
Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, data scientists, and analysts.
Design, build, and optimize end-to-end AI-driven features and agentic workflows - from experimentation to validation and deployment (using Python and C#).
Develop scalable backend services to support production-grade agentic AI features.
Build and improve solutions powered by LLMs, AI agents, multi-agent systems and generative AI frameworks.
Evaluate agentic architectures and models performance, and contribute to monitoring, reliability, and continuous improvement in production.

What Were About
we are a fast-growing startup at the forefront of application security. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the AppSec space, were shaping the future of secure software development in the AI era. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, we are the place to be.
What you will do
Release & hotfix management - Create and coordinate manual releases and hotfixes; build and publish release versions; maintain a centralized release calendar and manage release risk, quality and schedule.
Daily operations & syncs - Lead daily production sync meetings and act as the cross-team release/incident liaison across R&D, QA and DevOps.
Incident ownership - Own the incident.io platform (day-to-day configuration, runbooks, training for R&D, and status pages), run incident lifecycle activities, and drive post-mortems and RCAs for production bugs and outages.
Monitoring & alerting - Manage and maintain Grafana dashboards and alerting rules; respond to and triage alerts from Grafana and GCP (Cloud) monitoring; work with teams to reduce false positives and improve signal-to-noise in alerts.
On-call & incident triage - Participate in on-call rotations and act as escalation point for production issues; perform structured troubleshooting to mitigate issues and reduce MTTR.
Post-incident process - Lead post-mortems, own follow-up actions, and ensure lessons learned are integrated into process and tooling (e.g., smoke tests, cache clearing, alerting improvements).
Process & automation - Drive improvements to CI/CD, release automation, and production runbooks; help orchestrate IaC and deployment tooling to reduce manual risk.

Were hiring a hands-on Senior Data Engineer who wants to build data products that move the needle in the physical world. Your work will help construction professionals make better, data-backed decisions every day. Youll be part of a high-performing engineering team based in Tel Aviv.
Responsibilities:
Lead the design, development, and ownership of scalable data pipelines (ETL/ELT) that power analytics, product features, and downstream consumption.
Collaborate closely with Product, Data Science, Data Analytics, and full-stack/platform teams to deliver data solutions that serve product and business needs.
Build and optimize data workflows using Databricks, Spark (PySpark, SQL), Kafka, and AWS-based tooling.
Implement and manage data architectures that support both real-time and batch processing, including streaming, storage, and processing layers.
Develop, integrate, and maintain data connectors and ingestion pipelines from multiple sources.
Manage the deployment, scaling, and performance of data infrastructure and clusters, including Spark on Kubernetes, Kafka, and AWS services.
Manage the deployment, scaling, and performance of data infrastructure and clusters, including Databricks, Kafka, and AWS services.
Use Terraform (and similar tools) to manage infrastructure-as-code for data platforms.
Model and prepare data for analytics, BI, and product-facing use cases, ensuring high performance and reliability.