Superhuman

HQ
San Francisco
Total Offices: 7
1,500 Total Employees
Year Founded: 2009
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Superhuman Offices

Superhuman is headquartered in San Francisco and has 7 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible

U.S. Office Locations

HQ San Francisco New York Seattle

Global Office Locations

Berlin Kyiv Vancouver Warsaw
HQ

San Francisco

Grammarly’s San Francisco headquarters is located downtown, just a 5-minute walk from the Embarcadero BART station.

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Berlin

Pressehaus Podium Karl-Liebknecht-Straße 29A , Berlin, Germany, 10178

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Kyiv

Kyiv, UKR

Gulliver, Sportyvna Square, 1A, Kyiv, Ukraine, 01601

New York

450 Park Ave South, New York, NY, United States, 10016

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Seattle

Seattle

4311 11th Ave NE , Seattle, WA, United States, 91805

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Vancouver

353 Water Street , Vancouver, BC, Canada, V6B 1B8

Warsaw

Emilii Plater Street 53, Warsaw, Poland, 00-113

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Recently posted jobs

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Superhuman

Senior Finance Analyst, Research & Development

14 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Partners with Engineering, Product, and Design leadership on budgeting, forecasting, long-range planning, reporting, headcount planning, expense management, and investment decisions. Builds financial models, scenario analyses, executive reporting, and scalable automated processes using AI tools. Translates complex financial and operational data into actionable insights and collaborates across finance and business teams to support strategic initiatives and resource allocation.
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Superhuman

Data Engineer, Foundations

16 Hours AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Design, build, and operate large-scale ETL pipelines, data lakes, and data platforms processing billions of daily events. Own data quality, freshness, reliability, monitoring, and observability for foundational datasets. Develop self-service ETL frameworks and tooling, contribute to architecture and technical strategy, and partner with product, engineering, machine learning, data science, and leadership teams to deliver scalable data solutions.
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Superhuman

Data Engineer, Growth

3 Days AgoSaved
Hybrid
2 Locations
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate scalable growth data pipelines, models, feature datasets, and measurement systems supporting paid acquisition, ad bidding, experimentation, attribution, and audience targeting. Partner with Growth, Marketing, Analytics Engineering, and Data Science to deliver reliable data products, productionize machine-learning workflows, maintain data quality and observability, and improve platform performance, cost efficiency, and developer experience.
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