Revenue intelligence platform which helps companies improve efficiency, predictability, and growth across the entire sales process to achieve revenue excellence. The platform ingests unstructured communications from email, calendars, messages in Slack and Microsoft Teams, and call recordings and transcripts from Zoom, but also customer support tickets and product usage data to knit together a holistic picture of customer accounts and prospects. It then applies natural language parsing, sentiment analysis, and proprietary indexing on spoken and written keywords to help companies to forecast more accurately and also get early warning signs of deals and account churn.
5+ years of working experience with Flask or Django frameworks;
Good knowledge of MongoDB or Postgres or MySQL, writing efficient queries, data modeling/ MongoDB is preferred;
Experience with data profiling and code quality;
Experience with unit testing /at least has written unit tests for his code
Ability to learn new technologies;
Bachelor’s degree in Computer Science or related field OR equivalent experience;
Well versed in best practices in the software engineering practices such as high-quality code, thorough testing, and appropriate documentation;
Experience with building data pipelines will be a plus;
English level: Upper-Intermediate or higher;
Working hours: at least till 20:00 our time.
You will be playing a hands-on individual contributor role in the core backend technologies, including but not limited to designing and implementing APIs, data queries and data modeling, and application performance improvements;
You will participate in the design and architectural direction, understand requirements, and carry out the hands-on implementation of the most critical components and features.
Benefits and social package:
Career and professional development opportunities: mentorship program; professional trainings; internal knowledge sharing;
Ability to combine Remote/Office work;
Grammar and vocabulary English courses, provided from the start of Your cooperation with inVerita;
The ability to choose a work schedule based on two-three options, depends on your project/position;
Partial compensation of professional literature from Amazon.com;
Partial compensation of the gym membership;
The compensation of regular massage therapy;
Leisure activities — at inVerita you will find different opportunities for socializing;
Access to the internal library;