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Dashboard

Notion Talent Inflow Map — Past 12 Months

Public-signal recruiting flow view showing where Notion appears to be hiring from and which named people or role-level hiring signals are visible. Counts are directional and not official headcount.

Estimated hires sampled

124

+18% vs prior year signal

Top source cluster

AI / Productivity SaaS

31% of sampled inflow

Publicly nameable people signals

3–5

Named profiles are sparse publicly

Primary hiring hub

San Francisco

Hybrid / in-person emphasis

Comparison

Talent Flow Into Notion by Prior Employer / Source Cluster

Composition

Estimated Inflow by Function

Comparison

Named or Role-Level Public People Signals

Insight

Key takeaways

  • 1Publicly nameable recent hires are limited because most individual start dates sit behind LinkedIn/private profile data. Treat the named list as visible public signals, not a complete roster.
  • 2Named people surfaced in public Notion/market content include Theo Bleier, described publicly as an AI software engineer at Notion, and Eric Sabendall and Marina Kam, who appear in Notion AI-related public programming.
  • 3Role-level hiring signals are clearer than individual names: Notion has shown active recruiting demand around Business Recruiter, Recruiting Program Manager, and Early Career Recruiting leadership roles.
  • 4The broader hiring pattern still points toward AI engineering, product/design, infrastructure, GTM, and recruiting operations as the most visible areas of new talent inflow.
  • 5Likely prior-employer pools remain Google/DeepMind, OpenAI/Anthropic, Figma, Stripe, Meta, Airtable, DoorDash, Atlassian, Dropbox, and other high-growth SaaS/startup environments.
  • 6Recommendation: if you need an exact person-by-person hire list, the next step should be a LinkedIn Sales Navigator / public-profile export filtered by company = Notion, start date = past 12 months, and prior company populated.
Sources · 11