לוח משרות דרושים מתכנת Oracle / PL/SQL בתל אביב יפו

Join our AI team to drive mobilitys future! As Data Analyst & Operations Manager, youll optimize data workflows, lead annotation, and enhance algorithm performance to advance Vision AI.
RESPONSIBILITIES:
Model Evaluation
Work closely with the research team to evaluate model performance and define optimal operating points using precision, recall, and other ML evaluation metrics.
Annotation Management
Oversee annotation processes and manage the annotation team to ensure high-quality labeled data and streamlined workflows.
Database Management
Manage and maintain internal research databases for data-driven decision-making.
Cloud Infrastructure
Develop, maintain, and optimize cloud-based data infrastructure (AWS, GCP).
Benchmarking Framework
Build and maintain a benchmarking framework for continuous algorithm performance evaluation, including human-in-the-loop pipelines.
Dataset Curation
Curate training and testing datasets by querying databases and annotations, and by running data quality and auto-labelling tools.
Model Execution
Run algorithms and deep-learning models at scale.

We are looking for a NOC Engineer.
The NOC (Network Operation Center) engineer is responsible for monitoring and supporting company production systems.
He/She will verify service availability, send out status updates, identify root causes of production issues, coordinating operations and engineering teams in order to identify errors and anomalies.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle.
You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will work closely with Product teams and your responsibilities will include:
Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
Measure features adoption and retention and identifies opportunities for growth..
Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and product optimization.

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at our company, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease.
our companys technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the Data Team
our companys Data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day
Youll design and build robust data models and pipelines, transforming raw data into reliable, actionable insights. Youll collaborate closely with stakeholders across the company to understand their needs and deliver data solutions that drive strategy and operations. From writing clean, well-tested DBT models to monitoring data quality and performance, your work will have a direct impact on decision-making. As the team grows, youll also help shape best practices and scale our modern data stack.

A groundbreaking technology company changing the banking system is looking for a Senior Back-end Engineer to join the ride.
If you are an experienced, professional, Back-end engineer who likes challenges, working with the best, and wants to be part of an industry-disrupting company, please apply to join our journey in building the next big thing in finance.
Responsibilities:
You, as our Senior Backend Engineer you will be responsible and lead the following:
Lead and take end-to-end ownership of entire product development, be part of a multidisciplinary team
Take part in or lead architectural decisions and discussions
Review code developed by others, and provide feedback and mentoring to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency)
Solve complex business processes, create object models, define APIs, build web services, and more
Triage production and system issues, prioritize, track, debug, and solve with stakeholders and other team members
Work directly with others (engineers and other internal stakeholders) to develop a solid understanding of the business application and requirements for which the application is being designed
Be part of building a scalable and agile R&D organization by helping define and create the right tools and processes

We're seeking an outstanding and passionate Data Platform Engineer to join our growing R&D team.
You will work in an energetic startup environment following Agile concepts and methodologies. Joining the company at this unique and exciting stage in our growth journey creates an exceptional opportunity to take part in shaping Finaloop's data infrastructure at the forefront of Fintech and AI.
What you'll do:
Design, build, and maintain scalable data pipelines and ETL processes for our financial data platform.
Develop and optimize data infrastructure to support real-time analytics and reporting.
Implement data governance, security, and privacy controls to ensure data quality and compliance.
Create and maintain documentation for data platforms and processes
Collaborate with data scientists and analysts to deliver actionable insights to our customers.
Troubleshoot and resolve data infrastructure issues efficiently
Monitor system performance and implement optimizations
Stay current with emerging technologies and implement innovative solutions
Tech stack: AWS Serverless, Python, Airflow, Airbyte, Temporal, PostgreSQL, Snowflake, Kubernetes, Terraform, Docker.

We are looking for a Machine Learning Engineer.
Responsibilities:
Join Finaloops core activities, contributing to impactful data development and insights retrieval projects.
Collaborate closely with domain experts and developers to enhance data-driven features.
Own and manage data features throughout their lifecycle, including design, implementation, monitoring, and iteration.
Define and track key performance indicators (KPIs) for the team and the company, promoting a data-driven approach.

We're looking for a hands-on, tech-savvy Inbound Product Manager to join our R&D team and lead the development of internal products that power our digital marketing operations.
In this role, youll sit at the crossroads of product, business, and tech, collecting and translating business needs into smart product specs, working closely with developers, designers, analysts, and stakeholders to bring real impact to life.
What Youll Be Doing:
Collect and translate business needs into detailed, structured PRDs and technical documentation.
Define and manage incoming product requests from stakeholders across departments.
Work closely with R&D, designers, QA, and data teams to define and prioritize backlog items and sprint planning.
Conduct end-to-end specification work: from high-level business requirements to low-level technical flows and table structures (ERD).
Partner with data analysts to define KPIs and ensure data needs are met strong hands-on SQL skills required.
Conduct root cause analysis and troubleshooting for product-related issues.
Manage cross-team processes and ensure smooth execution and integration between business, tech, and design.
Own documentation quality and completeness throughout the product lifecycle.
Present product decisions, technical progress, and insights to senior management and onboard internal stakeholders.
Interview internal stakeholders to gather inputs and validate needs.

We are looking for a Senior Marketing Analyst.
Responsibilities:
Insight Generation: Analyze and interpret complex marketing data (customer behavior, campaign results, market trends) to identify key insights and opportunities for optimization.
Data Exploration: Leverage large and diverse datasets to uncover patterns, trends, and potential growth drivers across all marketing channels and initiatives.
Performance Optimization: Monitor key performance indicators (KPIs) to evaluate campaign effectiveness, identify areas for improvement, and drive continuous optimization of user acquisition and engagement efforts.
Reporting & Dashboards: Design, develop, and maintain intuitive dashboards and recurring reports that effectively communicate key findings and recommendations to stakeholders and leadership.
Cross-Functional Collaboration: Partner closely with marketing managers, product teams, analysts, and data engineers to provide analytical support for strategic decision-making and business planning.
Advanced Analytics: Apply advanced analytical and statistical techniques (e.g., regression analysis, cohort analysis) to identify growth opportunities and improve marketing ROI.
Process Improvement: Proactively identify opportunities to optimize marketing analytics processes, automate reporting, and enhance data accuracy.

We are looking for a BI Analyst to join our community!

As a BI Analyst, you will play a key role in transforming data into actionable insights that support strategic and operational decision-making across the company. Youll work closely with stakeholders from various departments to understand business needs, translate them into analytical requirements, and deliver clear, meaningful reports and dashboards. Your work will help drive performance, uncover opportunities, and ensure teams are aligned around trusted data.

Responsibilities:
Build and own the first inhouse Sales Analytics platform, aiming to generate the Source of Truth for our business decision making.
Design, create and maintain business dashboards, reports and visualizations
Work with stakeholders to gather requirements from teams across the organization to consolidate definitions and derive metrics.
Create and maintain documentation for all of the above.
Communicate data to stakeholders with the goal of allowing data driven decision making.

Were seeking a visionary and technically hands-on AI Lead to join us and take charge of driving innovation across our core AI systems. As the AI Lead, you'll guide the architecture and development of advanced machine learning models that power our video and creative analysis platform. You will collaborate cross-functionally with product managers, engineering, and business development teams to deliver cutting-edge features that push the boundaries of whats possible in creative performance analysis.
This is a high-impact role for someone who thrives at the intersection of machine learning, product strategy, and creativity.
Key Responsibilities:
Lead the development, deployment, and optimization of machine learning models for video, image, and creative performance analysis.
Architect scalable AI/ML pipelines and infrastructure that support real-time and batch processing of multimedia data.
Guide research and experimentation initiativesidentify new technologies, modeling techniques, and opportunities for innovation.
Mentor and grow a team of machine learning engineers and data scientists as we scale.
Champion AI ethics, fairness, and explainability in our model development and deployment.
Stay ahead of industry trends in generative AI, computer vision, NLP, and Martech innovation, translating insights into competitive advantages.

We're looking for a sharp Senior Fullstack Developer to join our growing web application team. In this role, youll be at the heart of building our dual-core technology: autonomous AI agents and a next-generation video generation platform. Youll help design and implement the infrastructure, APIs, and features that power intelligent decision-making and creative performance enabling brands to create smarter, better-performing content at scale.
What Youll Do?
Design, build, and maintain core components of our full-stack AI video platform from backend services to polished UIs.
Build APIs and services that allow our AI agents to analyze, optimize, and generate content autonomously.
Ensure the stability, quality, and performance of our production systems through robust testing, monitoring, and documentation.
Work closely with AI and video engineers to integrate complex backend logic with frontend experiences.
Take ownership of features from design to deployment in a fast-moving environment with high standards.
Actively participate in technical decision-making, architecture discussions, and team knowledge-sharing.

The Staff Architect is a hands-on position on our Architecture team. Our team reports directly to the CTO.
You will work closely with the product and engineering teams based in Tel Aviv to help shape the technical solutions they build and make sure they meet the design goals. You will guide and collaborate with talented, curious, and highly motivated engineers as well as senior engineering and product leadership to achieve this.
As part of the Architecture team, you will also help shape the broader engineering platforms that our global engineering teams build on top of. This includes our developer experience, infrastructure, data, API and UI platforms.5
What youll do:
Architect, design, and build distributed systems processing and applying business logic for Big Data workloads, serving thousands of clients, and supporting advanced analytics.
Collaborate with multiple cross-disciplinary teams and provide technical leadership, guidance, and coaching to engineers through brainstorming sessions, design reviews, and pair-programming.
Act as a technology trailblazer - evaluate new technologies, frameworks, tools, and methodologies, conduct PoCs, and make recommendations to engineering management. Spread the knowledge by training the engineering staff.
Build scalable and high-quality code, including constantly reviewing developers code, looking for design breaches, providing meaningful and relevant feedback to developers, and staying up-to-date with system changes.
Define and advocate for technical standards of CI/CD, quality, monitoring, security, modifiability, extensibility, and maintainability of our systems.
Take data-driven decisions based on extensive data analysis using advanced SQL methodologies.
Facilitate the creation of documentation, flow charts, and diagrams that record systems behavior, data flows, etc., to serve as a reference for new team members, auditors, etc.
Communicate and partner with technical and non-technical teams.

As a Data Engineer Tech Lead, you will play a central role in shaping our data strategy and guiding the team in building and optimizing analytics data pipelines that power business decisions across the organization. Beyond driving complex data initiatives, youll be a hands-on mentor and technical advisor, supporting other data engineers, fostering a culture of collaboration, and ensuring the teams overall growth and success.
Key Responsibilities:
Lead and mentor a team of data engineers, providing technical guidance, support, and regular feedback to enable their growth.
Architect, design, and evolve robust, scalable data pipelines and ETL/ELT processes for diverse structured and unstructured data sources.
Serve as a technical advisor for data best practices across the organization, collaborating with data analysts, data scientists, engineers, and product managers.
Define and evolve analytics-focused data models that empower business stakeholders with timely and reliable data.
Drive initiatives to improve data quality, governance, and observability across the analytics stack.
Act as a bridge between technical and non-technical stakeholders, helping translate business needs into actionable data solutions.
Champion engineering excellence, including code reviews, documentation, and knowledge-sharing.
What your day might look like:
Leading the most complicated data projects our company has to offer Hands on
Supporting other engineers by reviewing code, troubleshooting architecture, and encouraging best practices.
Leading the technical direction of new pipelines or data modeling initiatives.
Meeting with product managers and analysts to align on priorities and define the right data solutions.
Guiding your team through design discussions, trade-offs, and implementation decisions.
Helping the team deliver with high reliability, scalability, and speed.
Driving initiatives that improve the maintainability, observability, and impact of the data platform.