Software Engineer, Grammarly
Data Infrastructure
AI-powered writing assistant
Job no longer available
AI-powered writing assistant
1001+ employees
Job no longer available
1001+ employees
Company mission
Grammarly's mission is to improve lives by improving communication.
Role
Who you are
- Has experience with system design and building large distributed computing systems
- Can knowledgeably choose a third-party service to accomplish what they need or, alternatively, can devise a quick and simple solution on their own
- Has good knowledge of and some experience with AWS (or has deep expertise in Azure or GCE and is willing to learn AWS in a short time frame)
- Has experience with some of the following: Spark, Scala, Java, Kafka, Kinesis, Terraform
- Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams
- Has at least three years of experience managing a live production environment, preferably a high-load system
- Is a strong communicator. We are a tightly integrated team that takes a collaborative approach to our work and fosters a sense of shared ownership in our accomplishments. We expect colleagues to communicate proactively: talk, email, chat—you name it
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable
- Is inspired by our MOVE principles: move fast and learn faster; obsess about creating customer value; value impact over activity; and embrace healthy disagreement rooted in trust
- Is able to meet in person for their team’s scheduled collaboration weeks, traveling if necessary to the hub where their team is based
What the job involves
- To achieve our ambitious goals, we’re looking for a Software Engineer, Data Infrastructure, to join our Data Platform team and help us build a world-class data platform
- As a Software Engineer on the Data Infrastructure team, you will create engineering and analytical efficiencies as the owner of several crucial company-wide services
- Our cutting-edge data lake is the central hub for all data producers and data consumers, so your impact will span all of Grammarly. You will have the opportunity to design and build sustainable and scalable systems
- Leverage AWS, write code, build data pipelines, and create brand-new systems while contributing to existing ones
- Build and manage Grammarly’s central ingestion infrastructure
- Work with partners (researchers, ML engineers, and others) across engineering teams to build tools that seamlessly incorporate data
- Influence the big picture: make architectural decisions, research relevant technology, and plan for the future
Our take
From professional writing to everyday correspondence, effective communication is critical. Grammarly is an AI-powered writing assistant that helps people write clearly and without mistakes, checking spelling, grammar, and other potential pitfalls.
Grammarly was originally launched as a subscription service for students, although the platform has moved into the mainstream in the last decade. It went freemium in 2015 and now works across more than 500,000 applications and websites, including email clients, enterprise software, and word processors. Paid tiers give users more tools beyond grammar and spelling checks, including things like word choice, sentence rewrites, tone adjustments, fluency, and formality level.
The company has been profitable since the beginning and now has a valuation of more than $13 billion, placing it among the 10 most valuable startups in the US. The AI writing assistant space is heating up, and Grammarly is hoping to defend its position against offerings including Scalenut, Ginger and Microsoft's Editor by the release of its SDK, making it far easier to integrate Grammarly into other applications. So far, this has been used in over 4,000 products and earned excellent ratings and increased user numbers of Grammarly's service.
Steph
Company Specialist at Welcome to the Jungle
Insights
44% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Nov 2021
$200m
LATE VC
Oct 2019
$90m
LATE VC
Total funding: $400m
Company benefits
- Support for professional development with training, coaching, and regular feedback
- Global, local, and team-specific events and programs
- Catered lunches
- Gym and recreation stipends
- Admission discounts
- Work from home opportunities
- Medical, dental, vision, financial, and other benefits, as well as equity
- Support to set up a home office
- Ample and defined time off
- 401(k) matching
Company HQ
Financial District, San Francisco, CA
Leadership
Alex Shevchenko
(Co-Founder & Board Member)Studied at Vienna's International University before receiving an MBA from the University of Toronto. Co-founded MyDropBox.com in 2006. The company was bought by Blackboard Inc. three years later. Co-founded Grammarly in 2009.
Max Lytvyn
(Co-Founder & Board Member)Studied for an MBA at Vanderbilt University before joining Blacboard Inc. as Director of Product Strategy in 2007. Was General Manager and then Partner at Sciworth Labs from 2004 to 2013. Was a Board Member at Uniweb and invested in farmland investment platform FarmTogether.
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