Manager, Analytics Engineering

at  Grammarly Inc

Grammarly is excited to offer a remote-first hybrid working model. Grammarly team members in this role must be based in Germany or Poland, 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.

THE OPPORTUNITY

To achieve our ambitious goals, we’re looking for a hands-on Analytics Engineering Manager to lead, scale, mentor, and drive our Analytics Engineering team in Europe. This individual will guide a skilled team of analytics engineers focused on building innovative analytical products, fostering a data-driven culture throughout our organization, and empowering decision-makers at all levels with a reliable source of truth. This role will collaborate with engineering leaders, product managers, and other data experts.
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 an Analytics Engineering Manager, you will be an integral part of the larger data organization, reporting to the Head of Analytics Engineering based in the US. You will influence decisions and the direction of our overall data platform, including Data Infrastructure and Data Engineering. Furthermore, in this role, you will:

• Build a highly specialized analytics engineering team to support the growing needs and complexity of our product and business organizations.
• Foster a collaborative and high-performance culture within the team.
• Provide hands-on coding, design, and debugging guidance to ensure high-quality technical solutions.
• Set high performance and quality standards, coach team members to meet them, mentor and grow junior and senior IC talent.
• 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 data can solve them.
• Build strong relationships with Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Continuously reevaluate our data ecosystem against industry best practices and new third-party technologies to ensure Grammarly’s analytics stack remains best-in-class.

QUALIFICATIONS

• Is excellent at using SQL for data pipeline development on top of a modern data warehouse (Databricks, Snowflake, BigQuery, Redshift etc.)
• Has 8+ years of work experience in Analytics Engineering, Data Engineering, or Product Analytics, with at least 3 years of experience in a leadership role
• Has demonstrated ability to lead and mentor a team
• Has strong project management skills and a track record of delivering complex projects
• 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.
• 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.

• Build a highly specialized analytics engineering team to support the growing needs and complexity of our product and business organizations.
• Foster a collaborative and high-performance culture within the team.
• Provide hands-on coding, design, and debugging guidance to ensure high-quality technical solutions.
• Set high performance and quality standards, coach team members to meet them, mentor and grow junior and senior IC talent.
• 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 data can solve them.
• Build strong relationships with Grammarly’s functions to generalize data needs and guide the roadmaps of our internal platforms.
• Continuously reevaluate our data ecosystem against industry best practices and new third-party technologies to ensure Grammarly’s analytics stack remains best-in-class