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We are seeking a seasoned Delivery Manager with expertise in Agile delivery within a global software development environment, ideally with experience in the general insurance, property & casualty, life, pensions, and annuities sectors.
What youll do:
Deliver software solutions on time, within scope, on budget, and with exceptional quality, leveraging Agile methodologies to meet customer satisfaction as outlined in the SOW.
Oversee and actively participate in release and environment deployment processes.
Manage tight timelines, ensuring team motivation to meet and exceed project deadlines.
Lead the full project lifecycle, including analysis, design, development, testing, implementation, and integration.
Handle project scheduling, resource planning, budget tracking, and time management.
Collaborate closely with customers and project teams to define requirements, identify gaps, and translate them into actionable user stories.
Simultaneously manage multiple projects, facilitate status meetings, and confidently present to diverse audiences.
Proactively identify challenges, mediate conflicts, propose solutions, and drive implementation.
Build and maintain strong relationships with stakeholders, ensuring a smooth and customer-centric delivery process.
Provide leadership in a global setting, directly managing Team Leaders and matrix-managing multidisciplinary delivery teams.

Required Solutions Engineer - Israel & The Balkans
Job Description:
As a Solutions Engineer, you are a trusted technical advisor responsible for driving the technical win in both new business and expansion opportunities. Acting as our expert, you align our Identity Security Platform to customer business outcomes through deep discovery, strategic design, and impactful engagements. Your role is pivotal in supporting sales success, influencing architecture decisions, and enabling seamless post-sale transitions.
Key Responsibilities
Opportunity Management New & Existing Accounts:
Lead POCs and technical evaluations tied to business success metrics.
Validate architecture alignment and assist in technical objection handling.
Facilitate structured handovers to Services, Customer Success, and partners.
Support Champions in building business cases and technical narratives.
Forecasting:
Support deal forecasting by validating technical feasibility, business Metrics, and Decision Criteria.
Collaborate with AEs, Customer Success Managers, Services, and Channel teams to assess implementation risk and business value realization.
Pipeline Generation:
Identify opportunities, including, where appropriate, transform and modernise customer security architectures.
Act as a technical evangelist within accounts, showcasing how our solutions deliver measurable business outcomes.
Participate in strategic account planning and contribute to organizational mapping.
Enable and collaborate with our partners on expansion opportunities.
Conduct technical discovery to identify Customer Business Outcomes, shape Decision Criteria, and influence the Decision Process.
Deliver value-focused demos aligned with customer Metrics and Outcomes.
Develop org charts, identify Champions, and enable partner technical readiness.
Thought Leadership & Feedback Loop:
Serve as a subject matter expert on Identity Security and Zero Trust.
Present at customer and industry events to evangelize our thought leadership.
Mentor peers and partners, and deliver actionable feedback to internal teams and Product Management.

We are seeking a dynamic Data Scientist with a strong data science experience and flair for AI Pre Sales to join our team. This hybrid role combines technical expertise in AI and data science with the ability to identify, pitch, and present AI/ML solutions for our clients. The ideal candidate is an accomplished data scientist who can design and execute AI/ML models to meet complex client needs while able to demonstrate and clearly explain business benefits and practical implementations to customers.
Key Responsibilities:
Data Science and Technical Consulting (Primary Focus)
Data Analysis & Insights: Perform advanced data analysis on structured and unstructured datasets to generate actionable business insights.
Model Development & Validation: Design, develop, and validate machine learning models and algorithms tailored to client use cases.
Proof-of-Concept (PoC) Development: Lead the creation of AI/ML PoCs to demonstrate the feasibility and impact of proposed solutions.
Advanced Analytics Advisory: Provide expert guidance on applying predictive analytics, natural language processing (NLP), computer vision, and other AI techniques to solve complex business challenges.
Solution Integration: Assist clients in seamlessly integrating AI/ML solutions into their workflows, ensuring measurable impact and ROI.
Model Optimization: Continuously fine-tune and optimize deployed models to ensure scalability, performance, and accuracy over time.
Technical Innovation: Stay ahead of AI/ML trends, tools, and frameworks, and proactively suggest innovative approaches to enhance client outcomes.
Business Translation of AI/ML: Serve as a bridge between technical teams and business stakeholders, translating AI/ML solutions into clear, actionable business terms.
Sales Support (Secondary Focus)
Lead client discussions to uncover pain points and articulate AI/ML-driven solutions with measurable business value.
Create and deliver compelling presentations, proposals, and technical demonstrations to prospective clients.
Collaborate with internal teams to align client requirements with technical capabilities.
Drive end-to-end pre sales cycles, including requirement understanding, product / solution customization, business oriented demo flows and stories preparation, presentations to technical and business stakeholders.

We are looking for an AI Platform Architect to shape and implement the technical foundation of our enterprise AI ecosystem.
In this role, you will report to the Director of AI Technology in the IT Organization and define the architectural standards and core design principles that enable the secure, scalable, and responsible deployment of AI infrastructure and custom individual use cases across the organization. As a key member of the IT AI technology team, you will lead the integration of enterprise-grade AI platforms with custom-built components for reasoning, retrieval, orchestration, and agentic AI solutions aligned with the wider digital/data environment. Your work will establish the foundation for a composable, extensible AI platform that powers high-impact business use cases across the organization.
Your engagement will be focused on two areas: Deploying a low/no code solution(s) to enable the broader workforce and defining and implementing technical platforms for large use-case development implemented by developers and data scientists with AI expertise.
Responsibilities
Design and maintain a modular, scalable AI architecture to enable the broader workforce to create and deploy their own AI solutions including AI Agents
Develop systems that allow the discovery, usage, and tracing of AI/ML models and agents
Implement budget and usage guardrails using us and cloud security solutions
Lead the design of systems supporting large use-case development including AI/ML Model deployment, maintenance and monitoring
Establish architectural standards for responsible AI, including prompt versioning, access control, monitoring, and explainability
Ensure secure, efficient, and governable interoperability between third-party platforms and internal services, supporting a unified and extensible AI ecosystem
Reporting to the Director of AI Technology you will collaborate with IT and AI Transformation teams to align architectural decisions with business and platform strategy
Serve as a key technical advisor across engineering, security, data, and vendor teams ensuring consistency, scalability, and compliance across the AI stack.

we are looking to hire a talented VLSI Design Engineer to join our VLSI group in Tel Aviv.
You will work alongside other talented engineers to develop our cutting-edge AI chips.
If you are motivated and skilled in VLSI and excited about AI, we want to meet you!
Responsibilities
Bring architecture requirements of our companys AI Chips to power and area-efficient VLSI implementation with the right performance.
Work along with verification to enable a fully functional design.
Work along with the backend and DFT to converge the design into silicon.
Join the bring-up of the features with SW when silicon is back in the lab and the magic happens.

Required DFT Team Leader
Responsibilities
Leading the DFT team to delivering high quality production test patterns, stabilizing them, and analyzing silicon failures.
Work together with design team to implement and optimize our companys unique DFT approach.
Take part in verifying DFT implementation in pre-silicon environments.
See-through the entire development process, understand the system flows and architecture in order to guarantee a quality silicon without compromising Yield.

As a team member of the team, you will work on several challenging fronts, implementing different algorithms for resource allocation, mapping, HW-specific features, and optimizations in C++. Help build and develop our companys dataflow compiler, an innovative unique toolchain that takes real-world AI models and compiles them to our companys breakthrough processors.
The role involves a deep understanding of our companys architecture and has an extensive direct impact on our products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.

Step into an exciting opportunity to innovate with our dynamic R&D team! We are on the hunt for an entrepreneurial Engineering Manager who is ready to dive into pushing the edges of AI technology with a team of talented engineers. If you want to work on products that developers love with problems that have no playbooks then this is the role for you!
What will you do?
Make plans, iterate and pivot with your team to achieve the teams goals.
Be an excellent partner to product to make dreams into feasible and impactful realities.
Strike a balance between strategic vision and tactical implementation.
Coach, challenge and engage the engineers in your team, so they can achieve their own goals and keep building products developers love.
Spend 20% of your time doing hands-on work on non-critical path parts of the teams systems, so you can help make things better and be able to be part of the on-call rotation. Our technologies: Javascript, Typescript, HTML, CSS, ReactJS, Python, GCP.

You will be responsible for defining the system solution for NN-based image signal processing algorithms.
In your role, you will be tasked with designing an ISP solution that leverages NN to replace classic ISP algorithms and taking the solution from the POC stage to production. You will scope the existing landscape of literature and select solutions which are appropriate for running on our companys embedded HW, perform proof-of-concept, define system KPIs, and finally carry the solution to product grade level and deployment on our companys Vision-Processor.
Responsibilities
Domain expert in the field of neural network image enhancement for video cameras.
Work with the product team to translate high-level product functions to system building blocks and drive R&D efforts to implement them.
Implement proof-of-concept projects, taking ideas from papers and public reports and showing product fit.
Technological leadership in a multi-disciplinary environment. You will be working with both external partners and internal technical leadership. You will be expected to understand the various disciplines in a detailed manner and to be both a technical and project focal point for all aspects of the project.

* Define System Verification based on System (SW/HW) Design Inputs:
* Study design/reliability requirements.
* Take part in design reviews.
* Define and execute feasibility experiments for proof of concept/design.

* Establish Verification Equipment, Verification Methods and Infrastructure:
* Define, develop, and maintain testing equipment and methods to provide the means to execute verification.
* Collect and analyze data for improvement of methods/processes.

* Plan and execute Design Verification and Process Validation for:
* Developed products and processes.
* Engineering Change Orders.
* Service/Manufacturing equipment and processes.

* Prepare and release Verification Reports:
* Based on collected, analyzed data vs. pre-defined acceptance criteria.
* In compliance with company’s QMS and applicable standards/regulations.

* Participate in the following forums:
* Design reviews
* Product development gates and milestones.

* Initiate, manage, and monitor external testing contractors, such as Testing Houses and Labs.
* Define and prepare testing to be performed by external contractors.
* Identify and study relevant standards and guidelines (e.g. transportation/shelf-life standards).
* Track, review and approve external testing reports.
* Working according to Insightec Quality Policy, relevant Quality Procedures & Standards, and privacy & safety rules.


Advantages::

* Experience with MRI/CT/Ultrasound or other imaging modality
* Experience with external contractors
*  Experience in Medical Device industry

As part of our software group, you will play a pivotal role in developing high-performance software solutions that enable seamless interaction with our companys cutting-edge AI processors.
This role demands technical expertise, a passion for performance optimization, and an eagerness to solve complex runtime challenges. If youre excited about AI, runtime design, and performance-oriented software development, wed love to meet you!
You will have a direct impact on the efficiency and usability of our companys AI solutions, working on innovative technologies that serve customers across diverse industries.
Responsibilities
Design and implement high-performance software for interacting with our companys AI processors.
Optimize software solutions to achieve minimal CPU, memory footprint, and runtime overhead.
Collaborate with cross-functional teams, including hardware engineers and ML experts, to debug and integrate complex hardware/software systems.
Contribute to the development of APIs, frameworks, and infrastructure for efficient AI processing on edge devices.
Solve challenges in multi-threaded and resource-constrained environments.

We are on the hunt for a visionary Engineering Manager for our Platform Domain who is ready to bring long-term strategy to life while enabling enterprise customers today. If you strive to take a key role in influencing the success and growth of products and want to build the platform that will shape how we, as developers, work in the future- then this is the role for you!
What will you do?
Make plans, iterate and pivot with your team to achieve the domains goals
Be an excellent partner to product to make dreams into feasible and impactful realities
Strike a balance between strategic vision and tactical implementation
Coach, challenge and engage the engineers in your team, so they can achieve their own goals and keep building products developers love
Spend 20% of your time doing hands-on work on non-critical path parts of the teams systems, so you can help make things better and be able to be part of the on-call rotation. Our technologies: Python, GCP, ArgoCD, K8s, Javascript, Typescript, HTML, CSS, ReactJS

At our company, we develop AI processors that push the boundaries of performance and efficiency.
Were looking for a strong C++ developer to help design and implement critical parts of our dataflow compiler the toolchain that compiles real-world AI models, including cutting-edge GenAI workloads, to run on our hardware.
In this role, youll work on graph algorithms and optimizations, resource allocation, mapping, and hardware-specific features. Youll need to dive deep into machine learning model structures and concepts, while building a strong understanding of hardware architecture memory, compute, bandwidth, and parallelism.
Expect to tackle real-world challenges, go deep into the stack, and make a direct impact on the performance and capabilities of our companys products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.