דרושים » תוכנה » Python Developer

We are a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

You will work closely with other developers and our data team in order to build a complex system that handles massive amounts of data.

Responsibilities
Solve core and crucial problems affecting the infrastructure of the R&D.
Build the next-generation analytics solution
Lead the full development cycle from planning to implementation and deployment to production of complex features
Learn about new technologies, design patterns and try to implement them in the R&D day to day job.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

Responsibilities
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

Were a well-funded start-up that focuses on changing the way people leverage data to make decisions. We believe that out-of-context dashboards are not the solution but the problem, and were obsessively passionate about helping people take data-driven actions!

You will help the biggest product companies in the world leverage their behavioral data using state-of-the-art analyses and data science methods to support their next products decisions.

Responsibilities
Develop our core analytics engine that automatically turns data into concrete opportunities.
Work closely with our data team to build and take our analyses and DS models into production.
Mentor less experienced members of the team
Work with our other talented developers, product managers, product designers, and data scientists

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projectsfrom data exploration to deploymenthelping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecyclefrom problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

Required Python Engineer
What Youll Do:
As a Senior Engineer in the Purchase Risk Squad, you will play a pivotal role in developing and maintaining mission-critical systems that manage the heart and brain of our primary product. Your contributions will directly impact the teams ability to proactively manage financial risks and meet key financial KPIs. Working alongside backend engineers and AI/ML specialists, you will drive the development of advanced risk management systems that ensure the stability and financial success of our loan product.
Work directly with our Data Scientists within the risk team, leveraging cutting-edge technologies to develop, optimize, and redesign the core services that meet our growing business needs. Your role will be crucial in designing and implementing solutions that enhance our ability to manage and mitigate risks effectively.
Play a crucial role in ideating and developing new capabilities within the risk domain. Your work will leverage technologies and methodologies to introduce novel risk assessment and mitigation solutions, contributing significantly to our mission.
Work closely with internal stakeholders to understand their needs and translate business requirements into technical solutions.
Promote best practices in software development within the team, emphasizing code quality, security, and performance optimization.
Be an integral part of our multidisciplinary development teams.
Stay up-to-date with the latest technologies and methodologies in data science and engineering, incorporating them into your work to drive innovation.

data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. Were the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.

Leadership/Team Quote:
The opening is for the Generative AI NLP Team in the Marketplace AI department. The team is responsible for enabling ML decisioning for personalized recommendations across the site, and taking a key role in the new GenAI project - The Trip Planner. Youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience.
Role Description:
The NLP (Natural Language Processing) Service handles a variety of tasks performed by LLMs, enabling functionalities like natural conversational flows, personalized GenAI-driven content, processing unstructured natural language inputs, and more.
It is designed to understand user text, performing tasks such as intent classification, content moderation, and structured data extraction.
Key Job Responsibilities and Duties:
Leading the design of complex systems, ensuring scalability, maintainability, and high performance. Making architectural decisions that align with business requirements and technical constraints.
Providing guidance and mentorship to junior and mid-level engineers. Conducting code reviews, sharing best practices, and helping develop the technical skills of the team.
Writing clean, maintainable, and efficient code. Ensuring code quality by implementing tests and adhering to coding standards and design patterns.
Working closely with cross-functional teams, including product managers, and other engineering teams, to align technical development with business goals.
Staying up-to-date with the latest technologies and best practices. Actively contributing to improving processes, performance, and technical solutions. Driving innovation within the team or organization.

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.

Required Data Infra Tech Lead
A day in the life and how youll make an impact:
Were seeking an experienced and skilled Data Infra Tech Lead to join our Data Infrastructure team and drive the companys data capabilities at scale.
As the company is fast growing, the mission of the data infrastructure team is to ensure the company can manage data at scale efficiently and seamlessly through robust and reliable data infrastructure. As a tech lead, you are required to independently lead the design, development, and optimization of our data infrastructure, collaborating closely with software engineers, data scientists, data engineers, and other key stakeholders. You are expected to own critical initiatives, influence architectural decisions, and mentor engineers to foster a high-performing team.
You will:
Lead the design and development of scalable, reliable, and secure data storage, processing, and access systems.
Define and drive best practices for CI/CD processes, ensuring seamless deployment and automation of data services.
Oversee and optimize our machine learning platform for training, releasing, serving, and monitoring models in production.
Own and develop the company-wide LLM infrastructure, enabling teams to efficiently build and deploy projects leveraging LLM capabilities.
Own the company's feature store, ensuring high-quality, reusable, and consistent features for ML and analytics use cases.
Architect and implement real-time event processing and data enrichment solutions, empowering teams with high-quality, real-time insights.
Partner with cross-functional teams to integrate data and machine learning models into products and services.
Ensure that our data systems are compliant with the data governance requirements of our customers and industry best practices.
Mentor and guide engineers, fostering a culture of innovation, knowledge sharing, and continuous improvement.

We are looking for a highly skilled and experienced BackEnd Team Lead to join our dynamic team in Tel Aviv. In this pivotal role, you will oversee the design, development, and optimization of our infrastructure, ensuring efficient flow and quality to support data-driven decision-making across the organization. You will lead a team of backend developers and data engineers, collaborate with cross-functional teams, and drive initiatives to enhance our data collection and data pipeline capabilities.
Key Responsibilities:
Lead and oversee a team of BackEnd and Data Engineers, mentor the team members, fostering skill development and professional growth
Establish and enforce data quality standards, implementing processes for data accuracy, reconciliation, and consistency.
Oversee the design and implementation of robust ETL processes to ensure accurate and timely data integration from various sources.
Collaborate across the business with various stakeholders, such as the CTO, Data Analysts and Product Managers to deliver impactful solutions
Continuously monitor and optimize system flows for performance, scalability, and cost-efficiency.