Group Product Manager, Cloud Engineering

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 will collaborate in person 4 weeks per quarter, traveling if necessary to different hubs. They are required to live within a commutable distance of their home hub of Berlin. Grammarly may provide relocation assistance.

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’re seeking a Group Product Manager to join our Platform and Cloud Engineering team. This role will work in the Platform org to own the roadmap and strategy for Grammarly's AWS cloud infrastructure, language tooling platform, customer cloud-hosted Grammarly, API gateway, and ML/AI training infrastructure used across the company.

Your impact

As a Group Product Manager in Platform, you will drive the vision and strategy for Grammarly’s Cloud infrastructure compute capabilities and overall developer experience. This role is central to every feature and experience in Grammarly, ensuring developers across the company have the necessary compute, availability, APIs, and tools necessary to quickly prototype, build, validate, and deploy novel AI and ML technologies.

Your responsibilities will include:

• Working across Grammarly to understand computing and development processing needs across all engineering disciplines and teams.
• Working closely with external partners to evaluate in-house and external technology solutions, prioritizing a sustainable mix of performance, quality, and cost.
• Presenting to engineering, product, and leadership on quality insights and strategic initiatives.
• Using insights and data to influence roadmaps and drive improvements to our cloud infrastructure, identify inefficiencies, and process improvements.
• Defining and driving additional initiatives that improve Grammarly’s cloud deployment to meet and exceed customer expectations in data and service isolation.
• Build new AI/ML/LLM language tools that streamline the development, evaluation, and transition of novel technologies across Grammarly. Ensuring Grammarly consistently uses the right technology suite that optimizes performance, quality, and cost.

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 in Berlin and potentially other hubs 4 weeks per quarter.
• Is able to drive learnings, execution, and impact in a product area with ambiguity.
• Has solid experience in product leadership roles supporting mid-size engineering teams (preferably cloud platform, SRE, or DevOps)
• Has a deep technical understanding of how client teams monitor and improve quality at scale. 
• Has a strong quantitative and analytical mindset that allows them to collaborate deeply with data science while also driving independent analysis. 
• Is able to communicate and influence product and engineering teams from a user-experience and data-driven lens. 
• Has a strong quantitative and analytical mindset underst