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As a Operations Coordinator, you will be responsible for overseeing and optimizing the performance of our courier fleet in the city. This role requires a mix of operational expertise, strategic thinking, and hands-on execution to ensure the fleets efficiency, reliability, and sustainability. You will work closely with multiple stakeholders, including the operations team, couriers, and external partners, to enhance delivery performance and customer experience.

What Will You Do
Oversee real-time fleet operations to ensure smooth and efficient order fulfillment.
Optimize courier supply by analyzing demand trends and implementing strategic actions.
Maintain fleet health by monitoring key performance indicators such as delivery time, cancellations, and courier reliability.
Develop and execute courier engagement strategies to improve retention and satisfaction.
Support courier onboarding, training, and compliance with operational standards.
Ensure high-quality service by addressing fleet-related escalations and problem-solving in real time.
Collaborate with cross-functional teams (Marketing, Sales, and Expansion) to align operational strategies with company goals.
Implement data-driven decisions to enhance efficiency and fleet utilization.
Monitor operational costs and optimize budget allocation for fleet management.
Conduct periodic performance reviews with couriers and take proactive measures to improve their productivity.

we are looking for a Growth Marketing Lead.
Tell the Frank story to the architecture world: own demand, content, and positioning for an AI architect.
s our Growth Marketing Lead, you own how we reach architecture firms: demand generation, content, product positioning, and the launches that put Frank in front of the right people.
What youll do:
Build and run demand generation across channels: content, email, events, and the website.
Own positioning and messaging for Frank, in close partnership with product and leadership.
Produce credible, technical-but-clear content that resonates with architects and BIM leaders.
Measure what works and double down: pipeline, not vanity metrics.

We are seeking an Incident Response Engineer to join the IR team. This technical role focuses on active investigation, threat mitigation, and the continuous improvement of the security organizations posture through detection engineering and automation development.
The successful candidate will be responsible for the full lifecycle of security incidents, from initial triage to recovery. Beyond reactive response, this role involves tuning SIEM correlation rules and developing SOAR workflows to increase operational efficiency.
What Youll Be Doing:
Incident Management: Execute the IR lifecycle (Triage, Containment, Eradication, Recovery) for complex security events.
Technical Investigation: Perform root cause analysis and forensic examination across Windows, Mac, and Linux environments.
Detection & Tuning: Collaborate with the IR team to create, test, and tune SIEM rules and dashboards to reduce false positives and improve visibility.
Automation Engineering: Build and refine SOAR playbooks and automated response actions to streamline repetitive investigation tasks.
Cloud Security: Monitor and mitigate cloud-native threats across Azure, AWS, and GCP environments.

We are looking for a Data Scientist to join our team.
The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives.
Responsibilities:
Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud.
Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment.
Perform exploratory data analysis and data visualization to gain insights and communicate findings.
Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production.
Implement advanced analytics tools and technologies to enhance reporting capabilities.

Join us as a Customer Service Representative in our Haifa offices, where you'll build strong client relationships and provide exceptional service. You'll handle diverse client needs, manage tasks efficiently, and contribute to a supportive team environment. Your problem-solving skills and technological proficiency will be key to ensuring customer satisfaction and operational success.

What Will You Do
Build and maintain strong communication with clients, handling various situations.
Efficiently manage multiple tasks and prioritize effectively.
Solve problems independently and support clients.
Maintain organizational systems and processes.

We are looking for a talented, tech-driven Leader with a strong entrepreneurial spirit to head one of our backend teams. In this role, you will remain deeply hands-on, driving technological agendas, architectural decisions, and system-wide optimizations.
Our teams take full end-to-end ownership over their domains, balancing high-quality feature delivery with deep engineering excellence. If you are passionate about building robust systems, love solving complex technical challenges at scale, and have the inner calm to lead through growth and change, this is the place for you.
What Youll Do:
Lead & Mentor: Foster a self-driven team culture, mentor experienced developers, and provide constructive feedback.
Stay Deeply Hands-On: Work closely with the code, designing and building low-latency, high-concurrency server-side components.
Own the Architecture: Drive architectural decisions and resolve complex challenges (performance, scalability, infrastructure costs).
Champion AI Adoption: Implement AI-driven development methodologies to elevate the teams productivity.

we are looking for a Algorithm Researcher.
Develop the optimization and computational-geometry algorithms at the core of : for researchers who love hard, non-convex problems.

we are looking for a Data Software Engineer.
Full-stack engineer with a soft spot for geometry: build the data and product systems that power automation across frontend and backend.

Required Product Manager, Mobile
About the role:
Our mobile app is a critical component in the day-to-day financial operations of the worlds leading financial institutions.
As the Mobile PM, youll own the full product domain: driving the roadmap, collaborating closely with engineering and design, and ensuring every feature ships with precision and measurable impact. But this is more than a customer-facing product - its also a foundational platform that other product teams across rely on to deliver their features to mobile users. Youll own both dimensions: driving the customer experience outbound while advancing the infrastructure that makes it possible. As the world moves toward agentic, AI-native financial operations, this team is building exactly that. You define what gets built and why.
What youll own:
The mobile product end-to-end - roadmap, strategy, and delivery across iOS and Android, with full accountability for outcomes.
The customer experience - deeply understanding how institutional users interact with their financial operations on mobile, and continuously raising the bar.
The mobile platform - working with product teams across to understand their needs and ensuring mobile can support their features effectively.
The AI and intelligence layer on mobile - defining how smart, proactive capabilities get surfaced to users in a way that adds real value.
What the work actually looks like:
Spending significant time with customers and data - forming a sharp, evidence-based view of what to build next and why.
Making hard prioritization calls - balancing customer-facing improvements, platform needs from internal teams, and long-term product investments.
Working across teams - product, engineering, design, security, and customer success - to align on scope and get things shipped.
Owning the full arc of a feature - from problem definition and spec to launch, adoption, and iteration.