Senior Engineering Manager, Machine Learning (Core Product)

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in the United States, 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.

About Grammarly

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. 7 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.

The Opportunity

To achieve our ambitious goals, we’re looking for a Senior Engineering Manager to join our Core Product team. This role will lead an experienced team of engineers focused on leveraging machine learning to develop contextually-aware communication assistance for our users.

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 the Engineering Manager of the Core Product ML team, you will lead the development of innovative new Grammarly features leveraging contextual inferences using cutting-edge technologies, including machine learning and generative AI. Your team will draw insights from large amounts of raw data to build products that deliver an optimal and delightful experience to the user. Additionally, these contextual inferences will enable us to deliver maximum value for cross-functional partners across Product, Design, Sales, and Growth.

Qualifications

• Has 3+ years of relevant experience managing high-performing engineering teams with a track record of shipping measurable impact and value to customers.
• Is knowledgeable about machine learning, generative AI, natural language processing, and related technologies.
• Demonstrates ability to lead and mentor a team. Effectively sets and communicates priorities for themselves and their team while driving execution.
• Has excellent analytical and problem-solving skills. Ability to dive deep into technical issues and provide effective solutions.
• Demonstrates strong communication and interpersonal skills. Experience working in a collaborative, cross-functional environment, including with remote teams.
• Has the ability and desire to operate in a fast-paced, dynamic environment where things change quickly.
• 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.

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
• 20 days of paid time off per year, 12 days of paid holidays per year, two floating holidays per year, and flexible sick time
• Generous stipends (including those for caregiving, pet care, wellness, your home office, and more)
• Annual professional development budget and opportunities

Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location. Our US locations are categorized into two compensation zones based on proximity to our hub locations.  In Canada, all locations where we support employment are considered “Zone 1”. 

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: $329,000 – $399,00/year (USD)

Zone 2: $296,000 – $359,000/year (USD)

Canada:

Zone 1: $279,000 – $361,000/year (CAD)

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.

We encourage you to apply

At Grammarly, we value our differences, and we encourage all to apply—especially those whose identities are traditionally underrepresented in tech organizations. 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).