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We are looking for an ML Infra Engineer to play a central role in evaluating, and deploying our AI models. You will own and evolve our benchmarking and evaluation capabilities for foundation models and multimodal systems, while also working closely with modeling teams to support model development, iteration, and validation. This role sits at the intersection of software engineering, model understanding, and applied AI, with broad influence on how models are built, compared, and improved across the organization.
This is NOT a core algorithmic research role - but rather, a role focused on building out the ML engineering infrastructure for the evaluation and deployment of models.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Own & Evolve Benchmarking - Design, build, and maintain our benchmarking suite for foundation models and multimodal AI systems.
Define Core Abstractions - Create clean, extensible abstractions and APIs for datasets, tasks, models, metrics, and evaluation workflows.
Develop Metrics & Evaluations - Implement metrics that capture predictive performance, biological relevance, and multimodal alignment.
Support Model Development - Work closely with AI scientists and data scientists to integrate new models, tweak architectures, and enable rapid, fair iteration.
Bring in New Models & Baselines - Add external and internal models to benchmarks and ensure meaningful comparisons.
Explore Data When Needed - Dive into data and results to debug evaluations, understand model behavior, and unblock modeling work.
Enable Rigor & Reproducibility - Ensure evaluations are consistent, well-versioned, and trustworthy over time.

As a Senior Account Manager, you'll own a portfolio of our top strategic clients end-to-end - from onboarding through QBRs and growth planning. You'll drive upsells, uncover expansion opportunities, and turn account insight into revenue, working alongside our global Growth team (US, EMEA, APAC) and closely with Product, Sales, and BI.

This is a senior role with real scope: you'll own the highest-value accounts in the book, set the playbook other CSMs follow, and have a direct line to shaping how the Growth org scales.

Responsibilities:
Revenue Growth - Grow and scale strategic client budgets through upsell and cross-sell.
Client Communication - Build long-term client relationships through proactive, high-value engagement and in-person visits.
Collaboration - Partner with product and sales to align on client needs and growth opportunities.
Strategic Leadership - Drive cross-team initiatives using AI and data to shape client strategy.
Reporting & Analysis - Turn performance data into insights that drive client decisions.
Team Standards - Build and scale playbooks that raise the bar for account management.

Required Senior Data Engineer
About the role:
You will specialize in designing and building world class, scalable data architectures, ensuring reliable data flow and integration for groundbreaking biotechnological research. Your expertise in big data tools and pipelines will accelerate our ability to derive actionable insights from complex datasets, driving innovations in improving patients outcome and in delivering life savings treatment solutions.
In this role, you will work closely with data scientists, AI/ML engineers, architect and other cross-functional teams to understand their data needs and requirements. You will also be responsible for ensuring that data is easily accessible and can be used to support data-driven decision making.
Location: Ramat Gan, (Hybrid model)
What will you do?
Design, build, and maintain data pipelines that ingest, transform, and load noisy, heterogeneous biological data at scale - from single-cell sequencing, genomic, and clinical sources - across databases, APIs, and flat files
Enhance our data warehouse system to dynamically support multiple analytics use cases
Implement and productize complex scientific and computational algorithms as scalable, production-grade pipeline components
Drive our data infrastructure toward becoming AI-native, enabling AI/ML systems and agents to reliably query, reason over, and act on our data
Implement data governance policies and procedures to ensure data quality, security, and privacy
Collaborate with ML and AI scientists and other cross-functional teams to understand their data needs and requirements
Drive team capability growth by championing an AI-first SDLC, mentoring data engineers on AI-assisted development practices and tooling
Develop and maintain documentation for data pipelines, processes, and systems
Requirements
We will only consider senior data engineers that have demonstrated strong system design skills combined with an extensive background working with data orchestration, data warehousing and ETL tools.

We are looking for a Senior AI Researcher to join our foundation models team and help advance large-scale models for single-cell RNA (scRNA) data.
In this role, you will focus on training and improving transformer-based and deep learning models, developing algorithmic solutions to challenging modeling problems, and adapting modern foundation model techniques to biological data. This is a hands-on research position for someone who enjoys building and training deep models, understanding their behavior, and pushing them to perform better.
You do not need prior biology experience - but you should be excited to apply your deep learning expertise to a new scientific domain.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Develop, train, and refine transformer-based and related architectures for large-scale scRNA data.
Tackle challenging modeling problems with thoughtful, principled approaches.
Apply ideas from NLP and vision (pretraining, self-supervision, transfer learning) to biological data.
Plan careful experiments, perform ablations, and deeply analyze results to guide model improvements.
Engage directly with large, noisy biological datasets and build intuition for model behavior in this setting.
Partner with engineers, data scientists, and biology experts to turn research ideas into working systems.

Were seeking a Head of AI to lead research and engineering for multimodal foundation models and reasoning‑centric systems-from prototyping to reliable, secure, production deployment. The Head of AI will manage a group of deep learning researchers, computational biologists, immunologists and engineers and partner closely with product leaders and company leadership to convert cutting‑edge methods into high‑impact, mission‑critical capabilities.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Group Leadership & Growth:
Lead, mentor, and develop deep learning researchers, computational biologists, and machine learning engineers; set a high bar for scientific rigor, code quality, and delivery.
Establish clear ownership, role definitions, and growth paths; nurture a collaborative, low‑ego culture.
Technical Strategy & Delivery:
Own the AI roadmap and architecture; guide model design, evaluation, and productionization (training, serving, observability, safety).
Build scalable pipelines for transformers, multimodal fusion, and reasoning/agent frameworks; champion reproducibility, CI/CD for models, and cost‑efficient GPU/TPU utilization.
Research Integration & Innovation:
Stay current with the literature; run journal clubs and technical deep dives.
Evaluate, pilot, and integrate state‑of‑the‑art methods (advanced transformers, retrieval and tool‑use agents, causal/biological reasoning) into robust systems.
Cross‑Functional Collaboration:
Translate biological and clinical questions into tractable AI projects with measurable impact.
Communicate complex trade‑offs to peers and executives; align plans, risks, and milestones across functions.
Mission & Impact:
Prioritize initiatives that advance patient outcomes and create cumulative platform value.
Balance speed with scientific integrity, security, and compliance.

We are looking for a Planner to join our team. The planner will own assembly planning, material availability, and planning/inventory processes within the Priority ERP system, working closely with Purchasing, Engineering, R&D and Warehouse, and reporting to the Supply Chain Manager. This role is central to building disciplined, scalable planning processes as the company grows.

Key Responsibilities:
Own and operate the planning activities in the company- item records, Bills of Materials (BOM), work orders, and purchase requisitions.
Build and implement MRP processes from the ground up, translating the production plan into timely purchasing requirements based on demand, inventory levels, and supplier lead times.
Track and manage material availability with suppliers, including early shortage identification and proactive escalation.
Manage inventory - stock levels, safety stock, ABC/XYZ classification, prevention of excess and shortages, and support for cycle counts.
Produce regular planning reports: OTD, material availability, critical shortages, work order and PO status, and dead/excess stock.
Build planning KPIs (Schedule Adherence, Material Availability Rate, Inventory Turns, Forecast Accuracy).
Coordinate routinely with Purchasing, Engineering & Production on engineering changes (ECO) and their impact on planning and inventory
Support the S&OP process and medium-term production planning, including capacity planning scenarios ahead of the 2027 ramp-up.
Continuously improve planning and inventory data integrity in the ERP system, and help build structured planning procedures for a start-up/scale-up environment.

Director of AI Product
About the role:
As the AI Product Director for the core components of our AI modeling framework, you will be responsible for defining and driving its product strategy, requirements, and roadmap, as well as lead a team of product managers. By leveraging our AI capabilities and vast data assets, you will spearhead the development of a product designed to empower internal users and external customers to address real-world challenges in drug discovery and development. Partnering tightly with R&D, you will ensure alignment between product strategy, scientific priorities and business objectives. You will advocate for your product both internally and externally, and ultimately be accountable for the value and impact your product delivers.
Location: Ramat Gan, Israel (Hybrid model)
What will you do?
Establish the long term vision and strategy to advance our AI-powered analytical platform to enable our mid and long-term goals
Responsible for defining the comprehensive roadmap and related PRDs for the analytical platform, focusing on optimizing analytical workflows, tackling predictive challenges, and enhancing model interpretability, as well as partner with business, R&D and ops to realize the roadmap
Evangelize the product, creating understanding and alignment across key stakeholders
Drive value creation for analytical platform users by enabling them to leverage our data assets effectively, both internally and in external collaborations
Ensure that our analytical platform development is effectively enabling and accelerating our product, business, and therapeutic goals

Join us as an NPI Engineer and lead the introduction of innovative optical products from concept to production. Work collaboratively across teams to ensure successful launch and integration of new products.
Responsibilities:
Manage the new product introduction process from design to commercialization.
Coordinate with cross-functional teams including design, manufacturing, and quality assurance.
Develop and execute project plans, schedules, and budgets.
Identify and mitigate risks associated with new product launches.
Lead design for manufacturability reviews and provide feedback to the design team.
Oversee prototype development and testing phases.
Ensure compliance with industry standards and regulations.

We are looking for an experienced Data Infrastructure Team Lead to lead our Data Infrastructure team. In this role, you will have formal people-management responsibility for a multidisciplinary team that builds, productionizes, and improves big data and analytics infrastructure. You will be responsible for team delivery, combining technical depth, agile leadership, and an AI-first mindset to help the team build reliable systems, improve how it works, and continuously raise its engineering standards.
Location: Ramat Gan (Bursa area), Israel - Hybrid model
What will you do?
Lead, manage, and develop a data infrastructure team of approximately 5-7 people.
Take responsibility for team delivery, including planning, prioritization, execution, and continuous improvement.
Lead agile ways of working, including scrum-based delivery practices.
Guide the design, productionization, and ongoing improvement of big data and analytics infrastructure.
Partner closely with cross-functional stakeholders across technical, scientific, and business interfaces.
Help the team adopt AI-first engineering practices, including automation and AI-assisted development workflows.
Drive improvements in team processes, technical quality, delivery predictability, and collaboration.
Support architectural and technical decisions across cloud infrastructure, data pipelines, orchestration, and production systems.
Create an environment where team members can grow, contribute, and improve together.

We are a fast-moving startup developing breakthrough digital printing technology for optical lens coatings. We are seeking a highly motivated and experienced Director of Automation to lead our multidisciplinary Automation group. This key leadership role holds disciplinary responsibility over the mechanics, software, control, and electrical engineering teams. The ideal candidate will thrive in a dynamic startup environment, driving the team forward with a strong sense of ownership, excellent interpersonal skills, and a collaborative mindset. You will oversee the development of cutting-edge technologies, manage the delivery of the software and control systems, and ensure successful technological implementations at customer sites.


Key Responsibilities:

Multidisciplinary Leadership: Provide direct management and disciplinary leadership for the mechanics, software, control, and electrical engineering teams.
Delivery Management: Lead and manage complex software and control plans from concept through development to successful deployment.
Technology Development & Innovation: Drive the research, design, and development of new automation technologies to enhance our industrial equipment platforms.
Customer Implementation & Support: Oversee the deployment and integration of new technologies, ensuring seamless implementation at customer site and providing ongoing top-tier support.
Teamwork & Collaboration: Foster a culture of exceptional teamwork and cross-functional collaboration. Work closely with other R&D groups: System Engineering, Process, Materials, Integration & Testing as well as with Operations and Customer support.
Execution & Ownership: Take full ownership of the Automation roadmap. Push projects forward proactively, overcome obstacles in a fast-paced environment, and lead the team to meet ambitious technological and business milestones.

We are seeking a Clinical Project Manager to support the sourcing, handling, and management of biological samples and associated clinical metadata from academic collaborators, commercial biobanks, and clinical research centers. This role involves coordinating with suppliers (hospitals/research institutes/biotech companies), regulatory bodies, and internal teams to secure the necessary biological materials for research and development.
The CPM will play a key role in translating internal research needs into actionable collaborations, managing projects end-to-end from feasibility through sample delivery and data return to collaborators.
This role sits within the Cohort Acquisition Team within the Data group and reports to the Senior Clinical Project Manager.
Location: Ramat Gan, Israel (hybrid model)
What will you do?
Manage multiple sample acquisition projects, from initiation through delivery.
Oversee handoff and tracking of samples through internal processing pipelines.
Track milestones, risks, and dependencies across internal and external stakeholders.
Work closely with internal stakeholders to provide regular updates on sample availability, quality, and timelines.
Align expectations across teams and ensure smooth communication.
Support identification and evaluation of potential sources (academic centers, biobanks, CROs) and sample cohorts (cohort availability, sample types, clinical annotations, timelines).
Serve as a day-to-day point of contact for collaborators.
Track and resolve operational issues (delays, quality concerns, missing data).
Maintain clear documentation of project scope, status, and outputs.
Maintain and leverage a database of existing collaborations.
Enforcing quality standards, including complying with our internal standards.

Required Customer-Facing Data Scientist - Demand Forecasting
Demand Forecasting Team:
The Demand Forecasting team is at a pivotal, high-growth stage. We have successfully built our core pipeline and are now aggressively onboarding new, diverse customers. This role is highly dynamic, requiring a blend of technical depth, proactive research, and exceptional communication to adapt our platform to real-world customer data and challenges. You will be a critical link between the core product and our clients business success.
Responsibilities:
As a key Customer-Facing Data Scientist on the Demand Forecasting team, you will:
Work at the forefront of the data world, focusing on the optimization and deployment of Demand Forecasting models.
Handle complex data science challenges using state-of-the-art techniques relevant to demand forecasting and time series, such as forecasting model ensembling, anomaly detection, feature engineering for trend/seasonality, and causal inference modeling.
Act as a highly communicative partner to our clients, diving deep into their unique datasets to understand the nuances and challenges of their business.
Lead the rigorous testing and application of our core ML pipeline on new customer data, identifying areas where it performs exceptionally well and researching/developing solutions for complex cases where it does not.
Be instrumental in helping our clients achieve their business goals and realize the measurable value of our Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

Required Senior ML Engineer
Responsibilities:
Work on our core data and machine learning infrastructure, which is at the heart of our offering. You will create innovative solutions for data ingestion and normalization from multiple data sources, feature engineering and feature selection, as well as actual model training and evaluation. All in large scale and completely automated.
Who You Are:
A problem solver at heart, you have a passion for excellence, you love to learn but know when its time to deliver and make ends meet. You arent threatened by a complex, dynamic and demanding environment. There is no I in team, is a motto you believe in deeply and you are always looking out for your peers. You know how to take ownership and drive projects to completion.

Based in Tel Aviv (hybrid, three days minimum in office), this role sits at the heart of how our supply business performs, connecting premium publishers to the outcomes they care about.

What you'll be doing
Own day-to-day relationships with a portfolio of publishers across display, CTV, video, and mobile app, serving as their primary point of contact across onboarding, optimization, and growth.
Drive adoption of Perion's supply path ad products and dashboards across your publisher portfolio, ensuring partners are getting full value from the platform.
Identify and act on upsell and expansion opportunities within existing accounts, bringing new Perion products and formats to publishers who are ready for them.
Troubleshoot technical and creative issues as they arise, including bid requests, win rates, bid caching, pricing, and fee structures, working cross-functionally with product and dev ops to resolve them.
Analyze performance reports regularly to surface insights, flag risks early, and make recommendations that improve publisher outcomes and Perion's supply quality.
Build senior-level relationships within publisher organizations, positioning yourself as a trusted advisor who understands their business, not just their account.