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we are looking for a Account Executive.
On your day-to-day:
You will manage the full sales cycle, from lead to close, while driving revenue growth by refining sales processes and collaborating with Product and Marketing. Your role involves identifying high-potential leads and navigating both simple and complex sales deals in a consultative manner. Additionally, you will track performance, report key metrics, and present proposals to management to continuously improve the sales process.

We are seeking a highly skilled Angular Developer to join our team and contribute to critical initiatives at the core of our platform. The ideal candidate will demonstrate strong analytical and problem-solving capabilities, a proactive work ethic, and the ability to take full ownership of assignments from inception to completion.
This position requires the capacity to perform effectively in a dynamic environment, manage multiple projects simultaneously, and collaborate closely with cross-functional teams. Excellent communication skills, attention to detail, and the ability to prioritize tasks and meet deadlines are essential.

Design and implement complex frontend features for our content creation and management platform, ensuring scalability, performance, and maintainability.
Own features end-to-end - from technical design and architecture decisions through implementation, code review, testing, and production deployment.
Collaborate with product managers, designers, and backend engineers to translate requirements into technical solutions and deliver high-quality features.
Drive technical excellence by establishing coding standards, conducting thorough code reviews, and mentoring team members on best practices.
Monitor production systems using observability tools, proactively identify performance bottlenecks, and implement solutions to improve reliability and user experience.
Lead initiatives to reduce technical debt and modernize the codebase while maintaining backward compatibility and system stability.
Champion quality through comprehensive testing strategies including unit, integration, and e2e tests, ensuring high coverage and confidence in releases.

Required Data Scientist
About the Role
The Data Science department plays a pivotal role in our company, generating value to us by developing algorithms and analytical production-grade solutions. We leverage advanced techniques and algorithms to provide maximum value from data in all shapes and sizes (such as classification models, NLP, anomaly detection, graph theory, deep learning, and more). As a Data Scientist, you will assume the classic data-science role of an end-to-end project development and implementation practitioner. Being part of the team requires a mix of hard quantitative and analytical skills, solid background in statistical modeling and machine learning, a technical data-savvy nature, along with a passion for problem-solving and a desire to drive data-driven decision-making.
What You'll Be Doing
Data Exploration and Preprocessing: Collect, clean, and transform large, complex data sets from various sources to ensure data quality and integrity for analysis
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models using state-of-the-art techniques, and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Research and Innovation: Stay up to date with the latest advancements in data science, machine learning, and related fields, and proactively explore new approaches to enhance the company's analytical capabilities.