Aartificial intelligence, Data science techniques, Design, Effective communication skills, Product Management
The Opportunity
To achieve our ambitious goals, we’re looking for a Senior Product Manager to join our Enterprise product team and lead a key feature set that impacts our writing customization feature set. This role will have a vast impact on our product portfolio.
As Senior Product Manager, you will define the future roadmap and deliver capabilities for our AI Writing Customization efforts, helping enterprises customize Grammarly's genAI-powered writing tools to provide personalized guidelines for employees for any task: writing on-brand content, completing a performance review, defining product requirements, and more. This team will ship some of our most critical enterprise product features, empowering our customers to communicate more effectively. You will lead the vision and strategy, experiment and learn quickly, and build innovative and delightful experiences for our Grammarly Business customers.
In this role, you will:
Qualifications
Compensation and Benefits
Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
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.
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: $250,000 – $272,000/year (USD)
Zone 2: $225,000 – $245,000/year (USD)
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.
Grammarly is a cloud-based typing assistant that reviews spelling, grammar, punctuation, clarity, engagement, and delivery mistakes in English language text. It uses artificial intelligence to identify and search for an appropriate replacement for the located error.