דרושים » תוכנה » Data Engineer II - GenAI

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 Riverside, 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. Riversides 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 Riversides 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 data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.
What you will be doing You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
* Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
* Collaborate with the team, define KPIs and measure the impact of their teams on Riverside performance.
* Design, execute, and analyze A/B tests to measure the impact of 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 user journey optimization.

For many of us there’s that one podcast we never miss, and video content is part of our daily routine, whether it’s professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. That’s 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. Riverside’s 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 Riverside’s Data & Analytics team believes there’s 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 you’re passionate about finding radical new ways to leverage data, you’ll fit right in.
On your day to day We’re looking for a Product Analyst that’s 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 Riverside.
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.
What Will Make You Stand Out?
* At least 2 years of experience as an Analyst in a tech company.
* Minimum of 1 year of experience as a Product Analyst or Growth Analyst, with a strong background in product-led growth strategies.
* Strong communication and presentation skills.
* Familiarity with A/B testing methods and the ability to make data-driven decisions.
* Proficiency in SQL is a must. Knowledge of Python for data analysis is a bonus.
* Creative thinking for product improvement.
* Understanding of business and product processes to create effective data models.
* Detail-oriented with a proven track record in quantitative fields.
* Capable of collaborating with diverse teams in a fast-paced environment.
* High proficiency in English, both written and spoken
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riverside’s your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if that’s not enough, we guarantee that your ideas will genuinely make an impact.

We are looking for a senior backend engineer who is truly cross functional possesses strong engineering foundations for developing highly performant services.
The ideal candidate will have a deep understanding of algorithms and Python fundamentals, as well as an understanding of the capabilities and limitations of LLMs. They will be able to quickly collaborate with their product counterparts to iterate over new, cutting edge features and capabilities and get them to the hands of our users. Collaborating closely with product teams, they will quickly ideate, develop and deliver innovative features and capabilities to our users.
If you have the skills and experience we are looking for, we encourage you to apply for this exciting opportunity to join our team and make a significant impact on the future of AI
Role and Responsibilities:
Build the framework used to supercharge our algorithm teams to write scalable, performant algorithms
E2E ownership of production services, databases and infrastructure
Work in fast iteration loops with business/product managers to architect and deliver new products and capabilities
Drive the architectural design, including dependent services and service interactions (APIs & SDKs)
Apply judgment and experience to balance trade-offs between competing interests and optional solutions, considering profiling data to inform decisions on performance and resource utilization.
Help with coaching and mentoring team members, and maintaining high standards of software quality within the team.

Required Data Analytics Engineer
Where does this role fit in our vision?
Every role at our company is designed with a clear purposeto integrate collective efforts into our shared success, functioning as pieces of a collective brain. We are seeking a skilled Data Analytics Engineer to join our dynamic Analytics team. In this role, you will play a critical part in building, maintaining, and scaling our data infrastructure to support business intelligence, product analytics, and business operations. You will collaborate closely with analysts, data scientists, and cross-functional stakeholders to ensure clean, reliable, and efficient data pipelines. This is an opportunity to contribute to a data-driven culture and help drive actionable insights across the company.
What will you be responsible for?
Designing, building, and optimizing robust data pipelines to ingest, process, and store data from various sources
Maintaining and optimizing our data warehouse (e.g., Snowflake, BigQuery, Redshift) and building data models to ensure scalability, reliability, and performance
Developing and maintaining ETL/ELT workflows to enable data accessibility for reporting and analysis
Collaborating with analytics teams (BI, product, and business) and cross-functional teams (GTM, product) to understand data requirements and providing the necessary infrastructure and data models to support their objectives
Monitoring and troubleshooting data quality, pipeline failures, and performance issues, and implementing fixes and improvements as needed
Contributing to automating manual processes and improving data reliability and efficiency
Staying up-to-date with emerging trends, tools, and technologies in data engineering to drive innovation and continuous improvement.

were proud to be at the forefront of the AI revolution. As a Data Analyst on the DataOps team, youll play a key role in ensuring the integrity and reliability of our data systems. Your primary focus will be on data quality assurance auditing datasets, identifying anomalies, validating transformations, and ensuring consistency across our machine learning pipelines. This role is ideal for someone whos passionate about data, detail-oriented, and eager to support high-impact AI solutions. We're looking for a data analyst with strong analytical skills and a commitment to maintaining data quality at scale.
Conduct data audits and validation checks to ensure accuracy, completeness, and consistency across diverse data sources.

Responsibilities
Perform exploratory data analysis to identify anomalies, edge cases, and inconsistencies that could affect model performance.
Automate and monitor data quality by building tools, dashboards, or queries, and by investigating root causes of data issues, proposing improvements, and tracking their resolution.
Evaluate external data sources for usability, schema compliance, and alignment with business goals.
Collaborate across teamsincluding Product Managers, Data Scientists, Engineers, and Labeling Specialiststo understand user needs and ensure the delivery of robust, scalable ML solutions with high-quality data throughout the pipeline.

As a Data Researcher , you will be responsible for the core asset of the company - ensuring the ongoing accuracy and superior performance of what is widely recognized as the industry's leading e-commerce fraud decisioning system. You will be empowered and expected to constantly innovate, devising smart logical and technical solutions to address real and evolving business challenges faced by the world's largest and most sophisticated online retailers, who constitute our primary clientele.

You will join a dynamic department with a deeply ingrained culture of striving for excellence and being the best in our field. We foster an informal, collaborative environment where your contributions are highly valued. This role offers significant growth opportunities, with clear pathways for advancement in both managerial and senior individual contributor (IC) capacities, allowing you to shape your career based on your strengths and aspirations. Your work will directly influence our product, protect our customers, and help define the future of trust in digital commerce.

What you'll be doing:

Play a major role in the creation, development, implementation, and ongoing improvement of our decision-making logic within our live production environment.
Conduct in-depth research into complex fraud patterns and emerging threats.
Utilizing vast and rich datasets to extract insights that drive actionable decisions to enhance the precision of our systems.
Developing new, innovative system components and models, along with refining and advancing our feature engineering processes.
Collaborate with a team of the industrys leading researchers, data scientists, and software engineers to develop the next generation of AI technology.

A global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides real-time results, updated stats, original content, aggregated information, customized news feeds, and more.
Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale.

seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

the original API Security vendor pioneering the market as the first vendor in 2018. Since then we have exhibited hyper-growth in a number of customers, threats stopped, and revenue. We saw API security as the security battleground of the future years ago as APIs started to form the foundation of the application innovation needed to drive business success today. Across banks, retail and transportation, IoT, autonomous vehicles, and smart cities, every modern app depends on APIs. Attackers realize APIs are the conduits to all sorts of valuable data and services within the year, APIs are predicted to be the number one application threat vector. Without secure APIs, businesses cannot rapidly innovate. has delivered the only patented solution to discover all APIs and their exposed data, stop API attackers, and provide remediation details for dev teams to write more secure APIs.

At Salt, were passionate about what we do. We work as a team and embrace new ideas, wherever they come from. We also enjoy all the benefits of a startup environment, including quickly seeing the results of your work, making an outsized impact on our company, and solving diverse challenges.
Want to make a big difference? We encourage you to apply!

About the team
The Platform Team plays a critical role in shaping the foundation of our systems and services. Responsible for building and maintaining core functionalities such as user management, authorization, authentication, and key integrations, the team ensures the seamless operation of essential business processes. We tackle complex, high-impact challenges that demand scalable, secure, and innovative solutions. Joining this team means working on projects that are central to our company's success, with opportunities to influence architectural decisions, solve intricate technical problems, and collaborate with cross-functional stakeholders.

real-world impact . Our mission is to future-proof the global food supply through precision pollination. BeeHero is a data-driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources. This data empowers farmers with actionable insights to boost crop yields, improve quality, and support the health of our ecosystems. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources. We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in BeeHero's success.>

Responsibilities:
As Data Analyst Team Leader, you will:
* Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
* Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
* Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
* Directly build and optimize dashboards and reports that communicate key metrics across the organization
* Write and review code for data pipelines, analytical models, and visualization tools
* Develop and implement data quality processes while maintaining your technical edge through active coding
* Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects

Were looking for a Data Security Analyst to join our Data Science team. The team is part of the security apps organization, tasked with building our suite of security products.

About the role:
As a data security analyst you will play a critical role in defining the logic behind many of our security products policies and classification algorithms, based on extensive research of huge datasets. You can also expect to work closely with data scientists on cutting edge ML and AI features for our product line.

What youll do:
Analyze large-scale datasets and identify patterns that will be used to implement security policies in our products.
Define and improve classification algorithms for detecting sensitive data.
Work closely with data scientists on data analysis and exploration for ML and AI features.
Collaborate with software engineers to implement features based on your analytical research.
Partner with the product team to find new ideas for features based on analysis of product metadata.