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we are looking for a Solution Engineer.
Responsibilities:
Lead and support customer-facing Demand Forecasting use cases from discovery through deployment
Work hands-on with customer data to design, test, and validate forecasting solutions
Act as a trusted analytical and technical advisor to customers, deeply understanding their business context and datasets
Analyze and explain model outputs and complex analytical concepts in a clear, business-oriented way
Troubleshoot technical and data-related challenges and drive them to resolution
Collaborate closely with Data Science and Customer Success teams, providing structured feedback from customer use cases
Help customers achieve measurable business impact and adoption of Demand Forecasting module

We are looking for a Staff Architect, Data & AI Infra to shape, build, and scale the infrastructure that powers our data, AI, and research platforms. This is a senior player-coach role with broad architectural ownership across data infrastructure, ML infrastructure, developer experience, reproducibility, and production reliability. You will work across the wider engineering group as a hands-on technical architect, while also managing a small team of individual contributors focused on ML infrastructure.

This role is ideal for someone who can move between long-term platform architecture and practical execution: defining standards, building core systems, mentoring engineers, improving reliability, and partnering with Data Engineering, AI/Research, Product Engineering, Security, Bioinformatics, and Leadership to make our data and AI platforms scalable, reproducible, secure, compliant, and easier to use.

Location: Ramat Gan, Israel (hybrid model)

What will you do?

Architectural Leadership: Own and evolve the technical roadmap for our data and AI platforms, ensuring scalable and reliable architecture that supports current needs and prepares for a multi-cloud future.
MLOps & Platform Development: Design and build end-to-end MLOps systems-covering experimentation, training, reproducibility, and deployment-while managing specialized infrastructure like BigQuery, orchestration tools (Dagster/Airflow), and R/Python workloads.
Infrastructure Strategy: Define and lead strategy for GPU resources (scheduling, utilization, batch compute) and establish engineering best practices, data architecture standards, and platform guardrails.
Developer Experience: Enhance developer productivity by building self-service platforms, automation, internal tooling, and reusable templates that simplify workflows and reduce operational friction.
Team Leadership: Act as a player-coach to mentor engineers and manage a small team of ICs, fostering a culture of sound decision-making and technical excellence across the broader group.
Security & Reliability: Partner with Security to enforce compliance (SOC2, HIPAA, GDPR) and access controls, while mitigating operational risk through improved observability, incident readiness, and robust support processes.

we are looking for a AI consultant.
As an AI Consultant and a CS team member, you will work at the technological forefront of the data analytics world by helping customers adopt and realize business value through AI and Machine Learning. As a CSM you will be the customers key strategic advisor and implementer and you will work with senior stakeholders to:
Identify AI opportunities
Frame and size the value and the business impact AI can help customers realize
Drive the implementation of software and services by collaborating and managing a cross-functional account team
Ongoing account management and commercial success including value realization analysis, Quarterly Business Reviews (QBRs), Pilot process management, etc.,
Gradually develop business-ML expertise and lend this SME towards customers and our internal product development

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.

we are looking for a Senior ML Engineer.
Responsibilities:
Work on core data and machine learning infrastructure, which is at the heart of 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.

we are looking for a Customer-Facing Data Scientist.
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 Demand Forecasting module.
Work within a production and product-oriented environment, ensuring models are robust, scalable, and directly integrated into the clients operational workflow.

As a Senior DevOps Engineer, you will join our data & engineering team and design and manage scalable, cloud-based infrastructure focused on big data and machine learning. You will ensure high-scale production environments are reliable, secure, and efficient, supporting seamless ML/AI deployments.

Location: Ramat Gan, Israel (hybrid model)

Reporting to: DevOps Team Lead

What will you do?
Design, build, and maintain scalable and reliable infrastructure for our big data applications.
Automate the deployment and scaling of our applications using Kubernetes and related technologies.
Set up, operate, and maintain Kubernetes-based environments, including GKE clusters and Helm-based deployments.
Support deployment workflows for PyTorch and TensorFlow-based ML/AI workloads.
Support and optimize GPU cluster infrastructure for machine learning workloads.
Build and maintain CI/CD pipelines using tools such as GitHub Actions.
Set up and maintain deployment environments for ML services and infrastructure components.
Work with MLOps platforms, including ClearML, to support experiment tracking, orchestration, and production workflows.
Manage cloud infrastructure on GCP with attention to reliability, scalability, cost awareness, and security.
Build and maintain cloud networking and security configurations.
Implement observability and monitoring using tools such as Grafana, Loki, and Prometheus.
Collaborate with DevOps, ML, data, and engineering teams to improve platform reliability and developer experience.

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 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?

Team 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.

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.

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 seeking a highly motivated and experienced LLM/ML Agentic AI Researcher to lead the technical development of our agentic AI interpretation framework. This hands-on role involves designing, building, and evaluating AI agents that interpret complex biological data.

You will be at the forefront of developing a sophisticated scientific reasoning system that leverages Large Language Models (LLMs) to provide structured, biologically-grounded explanations. Collaborating closely with immunologists, machine learning researchers, and technical leadership, you'll shape how we derive insights at a systems level, pushing the boundaries of AI in biology.

Location: Ramat Gan, Israel (Hybrid role)

What will you do?
Design, prototype, and build LLM-based agentic systems that reason over biological data, scientific literature, model outputs, and internal tools.
Develop agents capable of structured reasoning, hypothesis generation, explanation, planning, tool use, and iterative scientific analysis.
Build robust evaluation frameworks for agentic systems, including automated and human-in-the-loop evaluation pipelines.
Define and implement benchmarks, metrics, and test suites for measuring agent performance, including reasoning quality, biological grounding, factuality, robustness, reproducibility, and usefulness.
Work closely with AI researchers, computational biologists, immunologists, and product teams to translate scientific needs into measurable AI capabilities.
Create evaluation datasets and benchmark tasks that reflect real-world biological and therapeutic reasoning problems.
Analyze agent behavior, failure modes, hallucinations, tool-use errors, reasoning gaps, and grounding issues.
Contribute to the architecture of production-grade AI systems, including agent orchestration, retrieval, tool calling, memory, planning, and monitoring.
Stay up to date with the latest developments in LLMs, agentic AI, evaluation methodologies, and scientific AI systems.
Help turn research prototypes into reliable products used by internal teams and external partners.

We're looking for an experienced Strategy and Operations leader to lead one of the most strategic areas within Customer Experience.
As AI rapidly changes how customer experiences are delivered, you'll define how intelligent automation, rich context, and human expertise come together to create faster, more personalized, and more effective outcomes.
A core part of this role is understanding the unique needs of local markets and translating them into globally scalable products. You'll work closely with regional teams to uncover operational, cultural, and language nuances, then build shared capabilities that deliver a consistent global experience while remaining flexible enough to meet local needs.
Working closely with Product, Applied AI, Data Science, and Operations, you'll define the long-term strategy for this Associate Tooling and help shape the future of Customer Experience across, and Deliveroo.
Youre excited about this opportunity because you will
Lead a team of program managers and specialists in deploying and maintaining Associate Tooling for our in-house and BPO teams- nearly 10,000 agents in all - providing live support to customers for DoorDash EMEA.
Partner with product teams to set the direction and roadmap for associate tooling, including Astra (our case management tool), voice connectivity, real time management tools and associate co-pilot solutions.
Identify, test, deploy and maintain external solutions that complement our in-house product suite.
Lead cross functional initiatives to improve CSAT, handling time, first response time, refund policy adherence and other associate level performance metrics through optimization of tools, processes and practices.
Lead and mentor your team, fostering a culture of innovation, operational excellence, and accountability

Required SMB Account Manager - Benefits
What youll be doing:
As an SMB Account Manager, youll be joining the growing Benefits team. As part of this team, youll play a crucial role in scaling a solution that is redefining how we serve our SMB & corporate partners.
This role focuses on managing a portfolio of SMB clients, from onboarding to long-term support, while driving excellent service and business growth.
Day-to-day in this role youll:
Manage a portfolio of SMB clients - building strong relationships at senior levels and ensuring mutual success.
Lead and manage company launches end-to-end - including planning and executing launch events, delivering employee and manager training sessions, and providing close guidance throughout the implementation process.
Own the full client lifecycle - from identifying opportunities and pitching solutions, to providing long-term strategic support.
Collaborate cross-functionally with Product, Marketing, Support, and Operations to tailor solutions to client needs and ensure delivery excellence.
Analyze account performance and market trends to identify areas for optimization and growth.
Represent us at industry events and client meetings, positioning us as a partner of choice in the B2B space.
Drive initiatives to improve client satisfaction, retention, and revenue growth - working closely with our internal Support and Operations teams to ensure a smooth, high-quality client experience at every touchpoint.

Required Head of Support Israel, CXI International Operations
The CXI International Operations group is responsible for delivering exceptional support experiences to customers, merchants, and couriers across all our and Deliveroo markets. We're looking for a Head of Support, Israel, to strengthen our Customer Support as a key competitive advantage. This role is responsible for the overall customer experience and satisfaction of both consumers (B2C) and partners (B2B-including restaurants, retail partners, and couriers), ensuring exceptional real-time support while driving customer retention and loyalty.
The Head of Support will lead an organization of more than 2,000 people across in-house and outsourced operations in Israel and abroad. The role is also responsible for leading the Israel Strategy & Operations team and partnering closely with stakeholders across Product, Operations, Analytics, Workforce Management, and other functions.
What youll be doing:
As the Head of Support, you will play a pivotal role in maintaining our reputation for customer obsession, leading a large-scale support organization, and driving strategic improvements. Your day-to-day responsibilities include:
Day-to-day in this role youll:
Drive Quality of Service: Build a customer-centric culture focused on quality, ensuring a consistent tone of voice, robust quality assurance and coaching programs, and fair and effective performance management across all teams.
Lead and Develop Senior Leaders: Lead and mentor a team of senior leaders across the Israel Support organization, including Site Managers, Vendor Managers, and Strategy & Operations Managers, while fostering a culture of innovation, operational excellence, ownership, and accountability.
Own the Support Budget: Oversee and manage the support budget, ensuring the strategic allocation of resources across teams and initiatives. Drive cost efficiency through operational improvements, optimized refund spend and deductions, and streamlined organizational structures.
Serve as a Member of the Israel Leadership Team: Partner closely with leaders across Courier Operations, Merchant Operations, Marketing, and other functions to create new collaboration models that proactively address customer pain points.
Partner with Global Teams: Collaborate with Global Workforce Management, Content, Quality & Training, Shared Service Centers, Product, and Analytics teams to strengthen global-local collaboration and serve as the Directly Responsible Individual (DRI) for high-impact regional initiatives.
Drive Innovation: Partner with Global teams to design and implement new operating models for us while remaining true to our customer-centric values.