+ Stock Option Grant
Data streaming platform
Job no longer available
+ Stock Option Grant
1-20 employees
To democratise real-time data processing, helping organisations of all sizes and Python engineers from diverse backgrounds to unlock the full potential of streaming data.
Desirable
Event-driven architecture, that lets businesses detect and act on "events" such as transactions or site visits, is invaluable in terms of agility and scalability. That said, the maintenance and administration of such systems pose significant challenges - with legacy tools taking months of time and dedicated teams to employ.
Introducing Glassflow, a Berlin-based startup that aims to simplify and enhance the event-driven data pipeline development process. It offers an adaptable solution that scales automatically to meet the performance needs of pipelines, delivering a bottom-up approach that marks a departure from the traditional top-down solutions.
GlassFlow's recent Pre-Seed raise of $1.1 million underscores the recognition of its potential by the industry. The funding will be used to further develop its product and expand its team as it pushed to address the pain points of event-driven data for more developers across the globe.
Freddie
Company Specialist at Welcome to the Jungle
Oct 2024
$4.8m
EARLY VC
Nov 2023
$1.1m
SEED
Mitte, Berlin, Germany
Armend Avdijaj
(CEO)Previously co-founded Sponsokit where they served as the CEO for over 7 years. Prior to this they were an Analytics Manager at Mister Spex, a Business Analyst at German Expansion and a Marketing Controller at Falcon Internet.
Ashish Bagri
(CTO)Previously co-founded rvolt where they served as CTO for almost 2 years. They also served as the CTO at Sponsokit. Prior to this they held several Data Scientist roles at CrossEngage, Rocket Internet, LYKE, and Sociomantic Labs.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 1 more job at GlassFlow