Notion Offices

Notion is headquartered in San Francisco and has 6 office locations.

Hybrid Workplace

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

Notion is an in-person company. We come together three days a week: Monday, Tuesday, and Thursday — because the best collaboration tends to sneak up on you. A quick question becomes a whiteboard session. A lunch reshapes a plan. Togetherness is what

Typical time on-site: 3 days a week

U.S. Office Locations

Global Office Locations

HQ

San Francisco

San Francisco, CA, United States, 94105

Dublin

Dublin, Dublin, Ireland, D04 E7K5

Hanyang

Hanyang, South Korea

Hyderabad

Hyderabad, Hyderabad, India, 500081

New York

New York, NY, United States, 10013

Tokyo

Tokyo, Tokyo, Japan, 100-6590

Recently posted jobs

6 Hours AgoSaved
Hybrid
Seoul, KOR
Artificial Intelligence • Productivity • Software
Own the full customer lifecycle for mid-market accounts, including acquisition, expansion, and renewal. Design and build workflow solutions live in Notion, conduct discovery and demos, manage outbound account planning, and navigate commercial, procurement, legal, and security processes. Guide early implementation and adoption while partnering with Outcomes Architects on onboarding, expansion, and renewals. Requires technical fluency, complex B2B sales experience, AI curiosity, and native or bilingual Korean with business-level English.
9 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Productivity • Software
Lead Business Operations at Notion, focusing on strategic projects, cross-functional collaboration, and scalable AI-driven solutions to enhance business performance.
11 Hours AgoSaved
Hybrid
San Francisco, CA, USA
Artificial Intelligence • Productivity • Software
Apply statistical inference and experimentation to evaluate product changes, identify Growth opportunities, and guide strategy. Partner with product, engineering, and marketing leaders to define metrics, build datasets and dashboards, and communicate insights that drive business and product decisions. The role requires SQL, scripting, data transformation, and practical tradeoffs between speed and accuracy. Predictive modeling experience is preferred, as are startup and B2B SaaS backgrounds.