Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in Germany or Poland, and, depending on business needs, they must meet in person for collaboration weeks, traveling if necessary to the hub(s) where their team is based.
This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that fosters trust and unlocks creativity.
Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 teams. From instantly creating a first draft to perfecting every message, Grammarly helps people at 96% of the Fortune 500 and teams at companies like Atlassian, Databricks, and Zoom get their point across—and get results—with best-in-class security practices that keep data private and protected. Founded in 2009, Grammarly is No. 14 on the Forbes Cloud 100, one of TIME’s 100 Most Influential Companies, one of Fast Company’s Most Innovative Companies in AI, and one of Inc.’s Best Workplaces.
To achieve our ambitious goals, we’re looking for a hands-on Analytics Engineering Manager to lead, scale, mentor, and drive our Analytics Engineering team in Europe. This individual will guide a skilled team of analytics engineers focused on building innovative analytical products, fostering a data-driven culture throughout our organization, and empowering decision-makers at all levels with a reliable source of truth. This role will collaborate with engineering leaders, product managers, and other data experts.
Grammarly’s engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. You can hear more from our team on our technical blog.
As an Analytics Engineering Manager, you will be an integral part of the larger data organization, reporting to the Head of Analytics Engineering based in the US. You will influence decisions and the direction of our overall data platform, including Data Infrastructure and Data Engineering. Furthermore, in this role, you will:
At Grammarly, we value our differences, and we encourage all to apply. Grammarly is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age.
For more details about the personal data Grammarly collects during the recruitment process, for what purposes, and how you can address your rights, please see the Grammarly Data Privacy Notice for Candidates here.
#LI-NS4
#LI-Hybrid
Last updated on Aug 22, 2024
30+ days ago
30+ days ago
30+ days ago
30+ days ago
30+ days ago
Düsseldorf, North Rhine-Westphalia
·30+ days ago
Remote
·30+ days ago
Remote
·30+ days ago
Holzkirchen, Bavaria
·30+ days ago
Remote
·30+ days ago
Munich, Bavaria
·30+ days ago
Bielefeld, North Rhine-Westphalia
·30+ days ago
Berlin, Berlin
·30+ days ago
Hamburg, Hamburg
·30+ days ago
Schweinfurt, Bavaria
·30+ days ago