Grammarly is excited to offer a remote-first hybrid working model. Team members work primarily remotely in the United States, Canada, Ukraine, Germany, or Poland. Certain roles have specific location requirements to facilitate collaboration at a particular Grammarly hub.
All roles have an in-person component: Conditions permitting, teams meet 2–4 weeks every quarter at one of Grammarly’s hubs in San Francisco, Kyiv, New York, Vancouver, and Berlin, or in a workspace in Kraków. 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 team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 3 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
The opportunity
Grammarly is the world’s leading AI writing assistance company trusted by over 30 million people and 70,000 professional teams every day. From instantly creating a first draft to perfecting every message, Grammarly’s product offerings help people at 96% of the Fortune 500 get their point across—and get results. Grammarly has been profitable for over a decade because we’ve stayed true to our values and built an enterprise-grade product that’s secure, reliable, and helps people do their best work—without selling their data. We’re proud to be one of Inc.’s best workplaces, a Glassdoor Best Place to Work, one of TIME’s 100 Most Influential Companies, and one of Fast Company’s Most Innovative Companies in AI.
To achieve our ambitious goals, we seek an Analytics Engineer to enable Grammarly to make better, faster, data-driven business decision-making. It is a high-impact role within the broader data team at Grammarly that focuses on building the best-in-class Analytics stack, fostering a data-driven culture in the organization, and empowering decision-makers at all company levels with a single source of truth.
The Analytics Engineer will work closely with product, marketing, business leaders, the Data Engineering team, and other data professionals to develop scalable analytical solutions for the company.
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.
Your impact
As an Analytics Engineer, you will:
- Fully own the last mile data delivery for product and business stakeholders.
- Form a deep understanding of the business, your partners' opportunities and problems, and how they can be solved using data.
- Work closely with data scientists to define and operationalize critical business metrics.
- Together with data engineers, design dimensional tables to be used by power users and other developers
- Write complex, production-grade SQL pipelines using engineering best practices such as testing, version control, and documentation.
- Create scalable analytical solutions (dashboards, alerts, tools) to enable self-serve reporting and analysis capabilities of your users.
- Continuously re-evaluate our data ecosystem against industry best practices and new 3rd party technologies to ensure Grammarly’s analytics stack remains best-in-class.
We’re looking for someone who
- Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
- Is inspired by our MOVE principles, which are the blueprint for how things get done at Grammarly: move fast and learn faster, obsess about creating customer value, value impact over activity, and embrace healthy disagreement rooted in trust.
- Is able to collaborate in person 3 weeks per quarter, traveling if necessary to the hub where the team is based.
- Is excellent at using SQL for data pipeline development in a modern data stack such as Databricks, Snowflake, BigQuery, and dbt.
- Has 8+ years of work experience as an Analytics Engineer, Data Engineer, Business Intelligence Engineer, Product Analyst, or a similar role.
- Is familiar with data modeling principles and best practices.
- Has strong analytical and critical thinking skills, high attention to detail, and a strong bias toward impact and actionable insights.
- Has a passion for communicating insights through the language of data.
Support for you, professionally and personally
- Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback.
- A connected team: Grammarly builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture supported by our EAGER (ethical, adaptable, gritty, empathetic, and remarkable) values. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Grammarly Circles, which promote connection among those with shared identities, including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.
Compensation and Benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
- Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits)
- Disability and life insurance options
- 401(k) and RRSP matching
- Paid parental leave
- Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days
- Home office stipends
- Caregiver and pet care stipends
- Wellness stipends
- Admission discounts
- Learning and development opportunities
Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US and Canada locations are categorized into compensation zones based on each geographic region’s cost of labor index. For more information about our compensation zones and locations where we currently support employment, please refer to this page. If a location of interest is not listed, please speak with a recruiter for additional information.
Base pay may vary considerably depending on job-related knowledge, skills, and experience. The expected salary ranges for this position are outlined below by compensation zone and may be modified in the future.
United States:
Zone 1: $219,000 – $338,000/year (USD)
Zone 2: $198,000 – $300,000/year (USD)
We encourage you to apply
At Grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to apply. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, ancestry, national origin, citizenship, age, marital status, veteran status, disability status, political belief, or any other characteristic protected by law. Grammarly is an equal opportunity employer and a participant in the US federal E-Verify program (US). We also abide by the Employment Equity Act (Canada).
Please note that EEOC is optional and specific to US-based candidates.
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All team members meeting in person for official Grammarly business or working from a hub location are strongly encouraged to be vaccinated against COVID-19.
