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This is a key role in leading a fast growing Region to ensure the achievement of Capital Sales targets for the Company through direct management of the local distributors. This includes overseeing and leading the identification of business opportunities, building and fostering customers’ relationships and ensuring to meet/exceed sales forecast and objectives. To be successful in this role, you should be independent and highly driven, demonstrate extensive experience in business development strategies and possess the ability to adapt quickly in a dynamic environment. It is also important to adopt a hands-on approach when required and be willing to travel extensively.
· Drives, manages and executes the business and revenue of the Region · Defines annually the region’s business goals (orders and sales), per quarter and per country, manages and leads the distributors team · Analyzes regional market dynamics to maximize existing successes and to create new sales growth opportunities · Prepare forecasts and growth plans · Establishes and reports on metrics to measure team performance; corrects deficiencies where necessary · Ensures that the regional sales plan is aligned with and supports the EMEA revenue goal · Prepares regular sales reports using CRM tools, highlighting sales volume, potential growth areas, and strategies for client base expansion · Acts as the face of Insightec at industry congresses and meetings to enhance product visibility and market presence. · Recruits and manages the presence of distributors in the area; fosters a successful and positive team environment · Works close with the Head of CAMs and local CAMs to achieve company goals in the number of treatments · Works with the Head of marketing to define marketing plans for the region · Works with the Head of Market Access and the local distributors in leading the process of obtaining reimbursement, defining a reimbursement strategy · Supports the regulatory team in preparation and implementation of the regulatory plan. · Able to generate positive cooperations with the different Insightec functions supporting the territory · Resilience, positiveness, problem solving, customer focus, teamwork member, out of the box thinking.

Required Research Scientist - LTX Model Quality
The role
Following the success of LTX-2, our widely adopted open-source text-to-audio+video model, we are expanding our efforts to develop cutting-edge audio+video generation models and are hiring Research Scientists to join our LTX-Applications team.
As a Research Scientist in the LTX Model Quality team, you will play a key role in elevating the quality, controllability, and alignment of our video generation model. This role focuses on the critical post-training phase-developing and implementing techniques such as preference optimization, reward modeling, and human feedback integration to refine model outputs. You will design robust evaluation frameworks, define quality metrics, and build systematic approaches to identify and address model failure modes. Your work will directly impact the quality of the videos we generate.
What you will be doing
Develop and implement post-training pipelines, including RLHF, DPO, and other preference-based optimization techniques for video generation models.
Fine-tune and control VLLMs for video and audio understanding.
Design and iterate on quality evaluation metrics and frameworks.
Conduct systematic failure mode analysis and develop targeted interventions to address quality gaps.
Build and curate high-quality preference datasets and evaluation benchmarks that capture nuanced aspects of video generation quality.
Collaborate closely with fellow researchers to establish tight feedback loops between human judgment and model improvement.

Required Senior Software Engineer - Research
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

Required Team Lead
About the Team:
You will be leading the Compliance Engineering Squad, the technological "Guardians" of the company. We dont just write code; we build the safety net that allows our business to run fast and launch new products safely. In a high-growth Fintech environment, our team ensures that every loan, transaction, and interaction meets the strictest regulatory standards - automatically and seamlessly. We operate as a hybrid squad, blending robust Backend engineering with advanced Data Engineering. As the Team Lead, you will guide this multidisciplinary group in solving complex business challenges.
We treat compliance as a first-class engineering product. Our stack is modern, diverse, and built for scale:
Core: Kotlin, Python, and Java atop a Modulith architecture.
Data & Scale: Snowflake, Airflow, Spark, and DBT for high-volume data processing.
Infrastructure: Event-driven architecture (Kafka), AWS, and K8s.
Frontend: Internal tools built with React (Micro-frontends).
What Youll Do:
As the Team Lead, you will manage a high-impact squad dedicated to ensuring our compliance with critical processes and data integrity. Your role is central to driving quality, scalability, and accountability in processes such as compliance audits, credit bureau furnishing, and legal automation. This is an exciting opportunity to work at the intersection of technology, compliance, and data. You will lead Backend Engineers and Data Engineers to build robust systems that power our regulatory functions. You will have the chance to shape the technical strategy and build the team (hiring and mentoring), while remaining hands-on with modern technologies.
Key Responsibilities:
Manage and mentor a dynamic team of 3 engineers (Backend & Data), fostering collaboration and professional growth. You will also be responsible for hiring and onboarding new talent to the team.
Architect scalable, high-performance systems that support compliance-critical operations. You will define the technical roadmap and drive modernization efforts.
Design and oversee both Backend infrastructure and Data Pipelines to ensure accurate, auditable, and scalable compliance processes.
Act as the single point of contact for legal and compliance stakeholders, handling and facilitating all technical aspects of audit requests (SOC, state, and other regulatory audits).
Collaborate with cross-functional teams, including other engineering teams, product managers, legal, and business stakeholders, to align technology and compliance goals.
Remain active in the codebase, ensuring high code quality and leading by example.

our company, a Developer of AI-based autonomous driving solutions, is looking for an R&D Project Manager. The R&D Project Manager will be required to ensure delivery on time, on budget, and on quality. The person chosen for the role will work closely with the Companys various R&D teams to ensure that all project requirements, deadlines, and schedules are being met. Tasks include preparing SOWs, establishing effective project communication and reporting plans, executing them, submitting project deliverables, and preparing periodic status reports. Responsibilities:
* Determine and define project scope and objectives
* Prepare Statements of Work
* Coordinate with cross-discipline team members to make sure that all parties are on track with project requirements, schedules, and deadlines
* Maintain continuous communication with internal and external stakeholders
* Meet with projects team members to identify and resolve risks
* Lead projects from requirements definition through deployment, identifying schedules, scopes, budget estimations, and project implementation plans, including risk mitigation
* Submit project deliverables to customers after ensuring that they adhere to quality standards
* Prepare status reports by gathering, analyzing, and summarizing relevant information
* Manage Change Requests to ensure that all parties are informed of the impacts on schedule and budget
* Coordinate the preparation of user manuals, training materials, and other documents as needed to enable successful implementation
* Conduct post-project evaluation and identify successful and unsuccessful project elements

Required Talent Sourcer- Temp (with Potential Extension)
Responsibilities
Lead end-to-end sourcing efforts for a wide range of technical roles, with a focus on identifying, engaging, and qualifying high-quality passive candidates.
Build and maintain strong talent pipelines, using advanced search techniques and a deep understanding of the tech landscape.
Leverage LinkedIn Recruiter, social platforms, niche communities, and additional sourcing tools to uncover top talent.
Utilize AI-driven tools and automations to scale sourcing efforts, increase efficiency, and introduce new methods for talent discovery.
Partner closely with recruiters and hiring managers to refine role profiles and ensure strong alignment on candidate expectations.
Manage and maintain all sourcing activity within Comeet / Spark (ATS), ensuring clean, accurate, and organized data.
Support key operational aspects of the recruiting process - including interview scheduling, candidate follow-ups, and workflow support - ensuring a seamless and timely experience.
Bring a creative, think outside the box mindset to identify new channels, strategies, and approaches to attract diverse, high-quality talent.