לוח משרות דרושים הייטק דאטה משרה מלאה, לחיפוש זה נמצאו 188 משרות

In this high-visibility leadership role, you will head a multi-disciplinary R&D group comprising Data Engineering, MLOps, and Data & AI Architecture teams.
You will own the foundational data platforms, operational machine learning lifecycle (MLOps), and enterprise-grade AI architectural patterns that power next-generation security intelligence, Agentic workflows, and predictive cyber defenses across our company products. As a manager of managers and technical vision holder, you will bridge cutting-edge AI research and robust enterprise-scale software engineering, translating complex business objectives into production-grade AI platforms with measurable impact.
Your Impact
Multi-Disciplinary Leadership: Lead, scale, and mentor a high-performing engineering group consisting of Data Engineers, MLOps Engineers, and Data/AI Architects; foster a culture of technical excellence, continuous learning, and rapid, disciplined execution.
End-to-End AI & Data Lifecycle: Own the end-to-end engineering lifecycle for our AI and data ecosystem-spanning large-scale data ingestion and transformation, feature pipelines, model fine-tuning and hosting, CI/CD for ML, inference serving, and real-time observability.
Architectural Strategy: Partner closely with Data and AI Architects to set the technical blueprint for generative AI, agentic frameworks, retrieval-augmented generation (RAG), and unified data lakehouse infrastructures across cloud environments.
MLOps & Operational Excellence: Direct the implementation of automated, secure, and cost-effective MLOps infrastructure (evaluation, guardrails, deployment, monitoring, drift detection, and feedback loops) to reliably scale models from proof-of-concept to global production.
Strategic Collaboration & Executive Alignment: Act as a critical technical partner to Product Management, Threat Research, Security Operations, and core engineering leadership, aligning group roadmaps with company-wide strategic bets.
AI Governance & Security: Champion security, data privacy, and ethical AI standards across all platforms, ensuring resilience against adversarial attacks and compliance with enterprise data policies.

we are looking for an experienced Platform Engineer to join our core platform engineering team, focusing on developing and maintaining our AI-powered automotive data management platform. As a Platform Engineer, you will design, build, and operate scalable, production-grade data and ML platform components, ensuring high reliability and performance.
You will work closely with our Data Engineering and Data Science teams to develop and enhance our Iceberg-based data platform, including a data lake, query engine, and MLOps tools, providing a solid AI-ready foundation for our automotive solutions. These solutions support millions of connected vehicles worldwide, focusing on cybersecurity (XDR), vehicle quality, and operational intelligence. You will work with technologies such as Iceberg, Trino, Prefect, GitHub Actions, Kubernetes, JupyterHub, MLflow, and dbt.
This role is full-time and is Herzliya, Israel-based.

we are looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs, and work closely with other data scientists and data engineers to improve our automotive purpose-built data management platform, focusing on cybersecurity, API security, and vehicle quality use cases.
This role is full-time and is Herzliya, Israel based.
Responsibilities:
Conduct in-depth research on large and diverse automotive live streaming tabular datasets
Explore, design and deploy cutting-edge models or algorithms solutions for prediction purposes and anomaly detection
Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements
Partner with the data engineering and development teams to devise innovative solutions for productization
Encourage collaboration and knowledge-sharing within the data science team

We are seeking an experienced Senior Data Analyst to join our AI Product Analytics team and lead the evolution of our BI and analytics solutions. Sitting at the intersection of data and product, you will play a crucial role in transforming complex product usage data into actionable insights that drive roadmap decisions. You will be responsible for defining product analytics standards, translating requirements from product managers into scalable data solutions, and mentoring the broader analytics team on BI best practices. If you are an independent problem-solver with strong data modeling intuition and a passion for data storytelling, this is an incredible opportunity to shape our analytics ecosystem.
Key Responsibilities
Collaborate with product and engineering teams to translate ambiguous business questions into clear metric definitions and reporting solutions.
Serve as a subject matter expert in BI, mentoring analysts on best practices for dashboard design and data presentation.
Establish and maintain company-wide KPI metrics, documentation, and certified catalogs to ensure high-quality and reliable data.
Analyze product usage, user behavior, and feature performance to guide roadmap decisions and support AI-powered capabilities.
Manage end-to-end BI projects independently, balancing priorities in a fast-paced environment while taking full ownership of deliverables.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we're building ai that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. this role helps make that real.
join a team of exceptional researchers building sovereign ai at the frontier. you will shape how our systems interpret visual information and turn it into actionable knowledge. you will research and build capabilities spanning visual understanding, ocr, image retrieval, and semantic search, alongside scene reconstruction and geolocation (slam). that means understanding both model behavior and real-world failure modes, and delivering under security, compute, and deployment constraints. expect scarce data, noisy labels, and problems with no established playbook. you get the autonomy to choose the approach and the responsibility to make it work.
develop computer vision capabilities across visual understanding, detection, segmentation, and ocr, adapting methods to complex real-world data.
advance image retrieval, semantic search, and multimodal representations that link visual content with language and context.
research scene reconstruction and geolocation, defining both the approach and the evaluation criteria for demanding visual tasks.
design data mixtures and training strategies; run and debug experiments to improve quality, stability, and efficiency.
own the problem end to end - definition, data, experimentation, and validation - stress-testing robustness and failure modes, and partner with engineering through deployment.
raise risks early, challenge ideas with respect, take on the hardest problems, and mentor fellow researchers.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we're building ai that nations own and control, deployed where almost no one else can operate. ingesting and structuring complex data, and driving practical actions that can literally impact the lives of billions of people around the world. this role helps make that real.
were looking for an experienced, hands-on researcher to shape how our sovereign ai systems retrieve information and act in complex environments.
youll research and develop agentic capabilities, from orchestrating models and tools to enabling deep research, retrieval, and information enrichment. this means understanding the whole system : how its components interact, where they fail, and how to improve their combined performance under real-world security, compute, and deployment constraints.
shape agentic system design; develop orchestration, planning, and tool-use methods that turn complex requests into reliable workflows.
push the frontier of agentic ai and NLP : deep research, retrieval, and information extraction and enrichment, improved through execution traces, user feedback, and fine-tuning.
build benchmarks, simulators, and evaluation suites that combine annotation workflows and adversarial testing to expose failure modes and measure real progress.
own the problem end to end - definition, data, experimentation, and validation - and partner with engineering through deployment.
raise risks early, challenge ideas with respect, take on the hardest problems, and mentor fellow researchers.

every nation has data. few can protect it. fewer still can act on it.
the company is the sovereign ai and national cyber-defense company for governments.
we help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign.
this is more than a job. it's a role at the company, where you'll work at a global scale alongside some of the best ai researchers, cyber operators, and government experts in the world.
we defend nations against the most advanced threats in the world with a national security suite that offers ai-native resilience against apts with visibility, insights and mediation across posture, cti, and detection & response, all fully sovereign.
as a research infra engineer, you will build and operate the shared platforms that power the company's cyber research: data ingestion, connectivity to internal/external systems, scalable analysis environments, and self-serve tools which allow the team moving faster.
youll partner closely with cyberai researchers to translate research needs into reliable, secure, cloud-deployed capabilities used across the group. your goals are to reduces research-toil, improves reproducibility and code quality, and accelerates the path from prototype to shared capability.
design, implement, and iterate on internal platforms that support research workflows (e.g., data ingestion, enrichment, indexing, search, labeling, evaluation harnesses, experiment tooling).
develop durable pipelines and connectors to bring in and normalize research data sources.
create reusable libraries, templates, clis, and services that enable researchers to run analyses and experiments safely and repeatably.
own deployments, reliability, observability, access control, and cost/performance of the research stack so its usable by all researchers.
work closely with cyberai researchers on the development of next-generation artificial cyber researchers and ai-driven analysis capabilities.

realize your potential by joining the leading performance-driven advertising company!
as an Algorithm engineer on the algorithms team in our tel aviv office, youll play a vital role in building Machine Learning models that power Real-Time bidding and optimize billions of daily auctions. youll design and evolve large-scale ml solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. working at the intersection of Machine Learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.
how you'll make an impact:
design, train, and deploy Machine Learning models for bid optimization, price prediction, win-rate prediction, ctr/cvr estimation, calibration, and auction optimization.
own the full Machine Learning lifecycle, from research and prototyping through production deployment, a/b testing, monitoring, and optimization.
build and evolve large-scale ml models serving low-latency, high-throughput production traffic.
analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact.
partner with product, engineering, and business teams to translate marketplace goals into scalable Machine Learning solutions.
mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations.
why the company?
if you ask employees what they love about working here, theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. theyll also share more about:
adam singolda, the company founder and ceo: you can copy anything from another business but you cant copy a companys culture.
well-being: competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks.
flexibility: we offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired.
work with some of the biggest names: our publisher partners include yahoo, conde nast, fox sports, nbcu, espn, cbs, and e! online. our advertiser clients include wells fargo, honda, pinterest, and expedia.
ready to realize your potential?
the company is an equal opportunity employer and we value diversity in all forms. we are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. employment is decided on the basis of qualifications, merit, and business need.
about the company:the company empowers businesses to grow through performance advertising technology that goes beyond search and social and deliver

we're looking for a tech lead who is more than a great data engineer - someone who brings equal depth in backend software engineering and broad fluency across data technologies, databases, and large-scale distributed systems. you'll own the architecture and hands-on development of our data platform while driving engineering excellence across the team.
design, build, and maintain large-scale batch and streaming data pipelines ( ETL /elt) across multiple products
develop and optimize spark workloads for performance, cost, and reliability on large data volumes
build and evolve our data lake / lakehouse, including data modeling, partitioning, and Storage formats
write production-grade backend services and rest apis that expose data platform capabilities
build in data quality, observability, and monitoring from the start, and own your pipelines in production end to end
automate and improve the data platform, including ai-assisted development and llm-powered data workflows
work closely with r&d and product teams, and contribute to design and code reviews.

Since 2011, Morning has helped freelancers and small businesses manage their finances: invoices, payments, expenses and accounting. Today, 170,000 business owners use our platform. Every interaction generates data. So far, that's added up to more than 20 billion events. Our data platform turns this data into the foundation that our product, Customer Experience, finance, and AI teams rely on. As a data Engineer, you'll build and run the pipelines behind it, while helping shape our next-generation company brain: a unified place where people and AI agents can access Morning's knowledge and get reliable answers. We're a small team, which means your work reaches production early and has an impact across the company, with guidance and code reviews from senior engineers along the way.
What you'll do Build and maintain batch and streaming pipelines on Databricks. Transform and model data from our services into clean, reliable and accessible tables. Build data quality checks and monitoring to ensure the reliability of our data. Deploy and maintain production pipelines through CI/CD. Document data models and tables to make data discoverable and easy to use across the company. Identify opportunities to improve pipeline performance, reliability and cost efficiency. Our stack: Python, SQL, Spark, Databricks, AWS, Terraform, TeamCity. We use Claude in day-to-day development.
Advantages:
Experience with serverless architecture. Databricks experience. AWS experience. Terraform or other infrastructure as code. Proficiency with SQL and NoSQL databases and CDC. TypeScript and Node.js. Experience building and managing AI agents. Experience with Amazon Bedrock AgentCore.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 190 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
This role is about making sure Cross River Bank can trust its data. You'll lead the reporting team behind the dashboards, statements, and regulatory filings that business leaders and regulators depend on every day. You'll guide a geographically dispersed team, balance the needs of many stakeholders, and take real ownership of what gets delivered and how reliably it runs. Your scope covers everything from building modern reports to keeping critical production processes steady, so the bank can count on them. You'll also help shape what reporting looks like next. We're taking an AI-first approach, and you'll lead the way in using tools like Claude Code to automate manual work and raise the team's speed and quality. You'll work closely with data Engineering, data Ambassadors, and Production Support, and you'll grow your people through stretch assignments. It's a chance to have broad influence on how data works across the bank.
Who You Are:
You are a dynamic AVP, data Reporting Lead to drive our reporting and analytics function with an AI-first mindset. This role combines hands-on technical expertise with people leadership, owning the delivery of high-impact reporting solutions while managing a geographically dispersed team. You are a self-starter and quick learner who thrives in a fast-paced, cross-functional environment.
What Youll Actually Be Doing:

* This role is the engine that turns Cross River Bank's data into trusted, timely insight. You'll own the reporting that business lines and regulators rely on every day.
* You'll lead a geographically dispersed team, run scrum ceremonies with discipline, and use data -driven coaching to raise velocity, quality, and predictability. You'll also balance competing stakeholder priorities across project and BAU work.
* You'll own delivery end to end, building dashboards and reports in Tableau, SSRS, and AWS Quick Suite. You'll write complex SQL and build procedures and functions in Snowflake, manage SSIS and modern ETL integrations, and migrate reports to new data sources without losing accuracy.
* You'll be accountable for critical functions like monthly statements, regulatory filings, and scheduled extracts. That means maintaining run books and SOPs, co-owning SLAs and the production calendar with data Production Support, running operational readiness reviews, and driving root cause analysis to reduce MTTR. It also means keeping backup, failover, and disaster recovery plans in place.
* You'll champion an AI-first approach, using Claude Code to speed up report creation, code generation, and data transformation, automate manual processes, and set standards for AI in the development lifecycle.
* Partnering with data Engineering, data Ambassadors, and data Semantics and Intelligence, you'll co-develop data marts, make sure KPIs are accurate, and grow your people through stretch assignments..
Why Youll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first

Were looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.



The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, its about making clear technical decisions and ensuring they hold up in production.



Work location: hybrid from Tel Aviv



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Explore our benefits, culture, and what success in your first year could look like here.



If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities
Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contributions to SOWs and HLDs
Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
Lead technical discussions, workshops, architecture reviews, and POCs
Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
Make and explain trade-offs across cost, performance, scalability, and complexity
Stay close to delivery, supporting teams to ensure solutions are implemented correctly
Collaborate with Data Engineers, DevOps, Solution Architects, and Account Managers to move projects from concept to production
Contribute to internal standards, reusable patterns, and reference architectures
Operate in a fast-paced, project-based environment with multiple customer engagements
Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

As the Data Science Team Lead, you will lead a talented team of data scientists and ML engineers building the infrastructure, systems, and workflows for designing, training, evaluating, and deploying machine learning models that protect millions of users worldwide from fraud and account compromise.

This role combines hands-on technical leadership with people management and strategic ownership. You will drive innovation across real-time model serving, customer-specific model tuning, offline AI evaluations, and scalable ML systems in a production-grade SaaS environment.

If you are passionate about applied machine learning, fraud detection, and building intelligent systems at scale - we want you on our team.

What We Look for in Candidates:
Lead and mentor a team of Data Scientists focused on fraud detection and response capabilities.
Build ML infrastructure focused on design, train, evaluate, and optimize machine learning models for real-time fraud prevention and risk assessment.
Own the lifecycle of ML models in production, including experimentation, deployment, monitoring, retraining, and performance optimization.
Drive customer-specific model training and tuning strategies to improve accuracy and adaptability across different customer environments.
Build and improve offline AI evaluation frameworks to measure model quality, drift, effectiveness, and business impact.
Collaborate closely with Engineering, Product, Security, and Data teams to deliver scalable and reliable AI-powered capabilities.
Define best practices for model serving, feature engineering, experimentation, observability, and operational excellence.
Balance model performance, latency, scalability, explainability, and operational constraints in high-scale production environments.
Promote a culture of technical excellence, continuous improvement, ownership, and innovation.