Software Engineer, Grammarly
Data Platform
More information about location
AI-powered writing assistant
Be an early applicant
AI-powered writing assistant
1001+ employees
Be an early applicant
More information about location
1001+ employees
Company mission
Grammarly's mission is to improve lives by improving communication.
Role
Who you are
- Has experience in large-scale distributed computing systems, with expertise in both data engineering and data modeling
- Has experience managing live production environments, including high-load systems or data-intensive workflows, with a focus on uptime and reliability
- Expert in SQL and proficient in technologies like Spark, Kafka, Terraform, and in at least one programming language commonly used for data engineering (e.g., Python, Scala, or Java)
- Strong knowledge of ETL/ELT design patterns, orchestration tools (e.g., Airflow, dbt, Dagster), and data quality frameworks
- Ability to design scalable, secure, and maintainable data models and architectures, and understanding of data governance, privacy regulations (GDPR/CCPA)
- Hands-on experience with modern data storage technologies (e.g., Delta Lake, Snowflake, BigQuery, Redshift)
- Is a strategic thinker, able to evaluate whether to build internally or leverage third-party solutions, ensuring the right balance between speed, scalability, and long-term viability
- Is an excellent communicator and collaborator, able to work across diverse teams and stakeholders, translates business needs into robust data solutions, and ensures alignment on technical goals
- Has a demonstrated ability to work independently with minimal to zero guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments
- 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
What the job involves
- To achieve our ambitious goals, we’re looking for a Software Engineer to join our Data Platform team and help us build a world-class data platform
- This role presents a unique opportunity to experience all aspects of building complex software systems, including contributing to the strategy, defining the architecture, and developing and shipping to production
- As a Software Engineer on the Data Platform team, you will shape the architecture and technical strategy of our data platform, ensuring scalability, security, and efficiency across data engineering systems
- You will design and lead the implementation of robust, scalable, and reliable systems that handle large volumes of data, empowering both product features and data-driven decision-making across the company
- Your work will span areas such as real-time & ETL data pipelines, cloud infrastructure, data lakes, and back-end services
- This role requires you to collaborate with cross-functional teams, including back-end engineers, Analytics engineering, Data Science engineering, and machine learning teams, to drive initiatives that support various business outcomes
- As a senior IC, you will also mentor engineers and help set the strategic direction for the platform
- Architect and lead the development of large-scale systems for data pipelines, data lakes that handle billions of daily events
- Design and implement solutions that ensure data is available, secure, and scalable across the platform, enabling real-time and batch processing
- Make high-level architectural decisions about system design, technology choices, and platform evolution, ensuring scalability and long-term sustainability
- Collaborate with key stakeholders, such as product teams, data engineers, back-end developers, and ML engineers, to build tools & frameworks that power analytics, product features, and data-driven workflows
- Work with business stakeholders such as Analytics Eng, Data Science, Machine Learning, and Product teams to build high-impact data products enabling business-critical features, research, and experimentation with a focus on efficiency and alignment
- Collaborate with Leadership in devising the charter and technical roadmaps
- Mentor engineers across back-end infrastructure and data engineering disciplines, fostering a culture of collaboration and technical excellence
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 to include 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 positions 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
(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
(Head of Revenue & 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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