Description:

Improvado is an AI-powered, unified platform designed for marketing teams in medium to large-scale enterprises and agencies.
The platform automates complex marketing intelligence and reporting to facilitate decision-making.
Improvado gathers, organizes, and untangles marketing data to deliver instant insights through BI and AI.
The company is a rapidly scaling Series A startup that has raised $34 million in funding.
Improvado partners with globally recognized brands such as ASUS, Docker, Activision, and H&R Block.
The role involves building and maintaining the back-end for Improvado's marketing analytics SaaS platform, focusing on scalability, reliability, and performance.
Responsibilities include designing and implementing new functionalities, writing tests using Pytest, and ensuring code quality through clean, maintainable, and well-documented code.
The position requires troubleshooting and debugging issues, collaborating with the front-end team, participating in code reviews, and engaging in Agile development practices.

Requirements:

Candidates must have 3 years of experience in Python backend development, preferably with the Django framework.
A higher education background (3rd-4th year students) in Computer Science is required.
Candidates should be comfortable working with Linux and have knowledge of databases such as PostgreSQL, Clickhouse, and NoSQL databases.
The ability to work with a distributed team across different time zones is essential.
A strong mathematical background and a passion for Software Engineering are necessary.
Candidates should be curious and committed to learning upcoming best practices.

The position offers a remote-first work environment.
There is a strong product/market fit with a marketing data product tailored for US-based enterprises.
Employees receive 27 days of paid time off (PTO) per year, along with US holidays and additional days off.
The company promotes an extremely fun and open startup environment.
Professional development reimbursement is provided to support continuous learning and growth.