Notion
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
San Francisco
Dublin
Hanyang
Hyderabad
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Hyderabad, Hyderabad, India, 500081
New York
Tokyo
Recently posted jobs
Artificial Intelligence • Productivity • Software
Own full-cycle recruiting for GTM and Sales teams across EMEA, from sourcing through offer close. Develop inclusive sourcing strategies, build diverse talent pipelines, advise hiring managers, structure hiring plans and evaluation processes, and deliver strong candidate experiences. Partner with Total Rewards, People Operations, and People Partners on talent strategies. Use AI tools and recruiting data to improve processes and provide market insights while adapting best practices to regional needs.
Artificial Intelligence • Productivity • Software
Own the technical execution of production data migrations, integrations, and automations for APAC customers. Build backend services, data pipelines, migration utilities, validation frameworks, and reusable tooling using Python, SQL, APIs, databases, and cloud infrastructure. Handle testing, deployment, reconciliation, debugging, security, observability, failure recovery, documentation, and operational handoff while coordinating with regional engineers and managing multiple implementation workstreams.
Artificial Intelligence • Productivity • Software
Develop technically rigorous Notion Academy content, implementation guides, and Help Center resources. Lead customer workshops, webinars, and video walkthroughs; demonstrate workflows, troubleshoot issues, and build with new product capabilities. Use customer insights and product adoption data to prioritize educational content, measure impact, and scale learning standards. Experiment with AI-powered learning experiences and collaborate with engineers to keep technical materials accurate and current.
