Grammarly empowers people to thrive and connect, whenever and wherever they communicate. Every day, 30 million people and 30,000 teams around the world use our AI-powered writing assistant. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for an Engineering Manager to lead our Grammarly Editor Engineering team. The person in this role will lead a talented team of software engineers focused on developing Grammarly’s web and desktop-based editor application. Our text editor is the primary interface for users to put their ideas on the page and ensure they’re clear and engaging. The Grammarly Editor is a foundational part of Grammarly’s mission, and the team behind it is vital to helping our users communicate effectively wherever they write.
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.
Grammarly empowers people to thrive and connect, whenever and wherever they communicate. More than 30 million people and 30,000 teams around the world use our AI-powered writing assistant every day. All of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for Front-End Software Engineers to join our engineering teams. Front-End Engineers will ship user-focused interfaces and work closely with Product and Design teams while collaborating with many other functional teams across the Engineering organization.
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.
We’re building a complex marketing solution for Blizzard, the legendary game company from California.
The product is based on the concept of native advertising. The key idea is to allow advertisers to embed personalized advertising content right inside the game’s virtual space. For example, players will see the Nike ads just on the wall of the building they pass through when driving a car in a race simulator.
The platform will collect players data, segment the audience, predict user behavior and optimize marketing campaigns.
The project is full of exciting challenges related to big data and high-load. Technology is developed from ground zero, with no legacy, modern stacks only.
The solution we are working on is a complex distributed software mechanism controlling advertising campaigns running on leading entertainment media products like Rovio, EA, Spil Games, and many other gaming, entertainment, and lifestyle sites. The system enables the biggest advertisers across the world to run highly targeted ads, personalize ad communication, predict user consumption behavior, make deep multi-dimensional analytics. We serve over 2 billion ads per month across 400 publisher sites.
Tech stack includes Java, Scala, Typescript, AWS, GCP, Docker, MongoDB, Google BigQuery
The product is a customer data platform aimed to enhance the user experience with online shops usage by adding the possibility to personalize offering and engagement based on user behavior. It allows marketers to craft custom scenarios of interaction for the different customers to dramatically improve the quality of engagement with the online stores.
The project is new and built from scratch.
Tech stack includes Java, Google Cloud Platform, Google Big Query, React, JavaScript, Docker, Kubernetes.
You’ll be working in the high-seniority team of qualified developers achieving the goal of building a system that is capable of handling hundreds of millions of customers in real-time. The team is will be a mixed international team working together on different aspects of the system.
The product is a customer data platform aimed to enhance the user experience with online shops usage by adding the possibility to personalize offering and engagement based on user behavior. It allows marketers to craft custom scenarios of interaction for the different customers to dramatically improve the quality of engagement with the online stores.
The project is new and built from scratch.
Tech stack includes Java, Google Cloud Platform, Google Big Query, React, JavaScript, Docker, Kubernetes.
You’ll be working in the high-seniority team of qualified developers achieving the goal of building a system that is capable of handling hundreds of millions of customers in real-time. The team is will be a mixed international team working together on different aspects of the system.