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Engineering Manager for Data Enablement at Superhuman | San Francisco

Superhuman Platform Inc.Hub - San Francisco
Hybrid Full-time $250K/yr - $350K/yr

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Experience Level

Manager

Qualifications

Proven experience in managing engineering teams, preferably in a data-centric environment. Strong background in data ingestion techniques and data governance. Ability to design and implement robust software architectures. Excellent problem-solving skills with a focus on innovation. Experience with Databricks or similar data platforms is a plus. Strong communication and leadership skills.

About the job

At Superhuman, we embrace a dynamic hybrid working model that offers our team members the advantages of focused work time alongside in-person collaboration. This flexible approach is designed to foster trust, innovation, and a robust team culture.

We require all candidates for this position to be located in the San Francisco Bay Area or Seattle.

About Superhuman

Superhuman is an innovative AI productivity platform, now part of Grammarly, dedicated to unlocking the Superhuman potential in every individual. Our suite of applications seamlessly integrates with over a million applications and websites, enhancing productivity. Our offerings include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that intuitively understands context to provide automatic assistance. Since our inception in 2009, we have empowered over 40 million users, 50,000 organizations, and 3,000 educational institutions worldwide, enabling them to minimize busywork and focus on what truly matters. Discover more about our mission at superhuman.com and explore our values here.

The Opportunity

We are seeking an Engineering Manager to lead our Data Enablement team as we strive to create the fastest and most delightful productivity experiences powered by AI. As we scale, our internal technology operations must evolve to meet our ambitious goals. This exciting position will provide you with a comprehensive experience in building complex software systems, from contributing to strategic planning to defining architecture, developing, and deploying solutions to production.

The success of Superhuman hinges on our ability to efficiently process over 70 billion daily events, and you will play a pivotal role in enhancing our products through innovative data strategies. Our engineers and researchers are encouraged to innovate and make significant contributions that influence the product roadmap, all while tackling increasingly complex technical challenges as we expand our interfaces, algorithms, and infrastructure.

Overview

As the Engineering Manager for our Data Enablement team, you will oversee first-party data ingestion services and establish data governance protocols—the foundational elements that enable all downstream processes. You will lead a team of approximately 6-8 engineers responsible for the systems that collect, validate, and store Superhuman’s 70 billion daily events in our Databricks Lakehouse, while implementing governance frameworks that maintain data discoverability, security, and integrity.

About Superhuman Platform Inc.

Superhuman is a cutting-edge AI productivity platform that integrates innovative solutions to enhance workplace efficiency. As part of Grammarly, we aim to empower individuals and organizations worldwide to achieve their full potential by minimizing distractions and optimizing workflows.

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