Rae Iverson

Reports

A snapshot of pipeline health across all requisitions.

Active candidates45+12 vs. last quarter
Avg. AI match81%Steady
Hot candidates12Fast follow-up
Interviews YTD119Across all reqs

Pipeline distribution

Candidates by current stage.

  • Sourced10
  • Contacted15
  • Screening10
  • Onsite2
  • Offer1
  • Hired2
  • Rejected5

Reqs by priority

  • P0
    4 open reqs
    Applied ML · Platform · Research
    86 in pipeline
  • P1
    5 open reqs
    Product · Product Engineering · Security
    80 in pipeline
  • P2
    1 open req
    Product Engineering
    11 in pipeline

AI match quality by req

How well incoming candidates are scoring against req requirements.

  • Research Engineer, Pre-training
    89%
  • Staff Machine Learning Engineer
    87%
  • Group Product Manager, Platform
    84%
  • Staff Product Designer, Platform
    83%
  • Principal Platform Engineer
    82%
  • Director of Engineering, Platform
    81%
  • Senior Software Engineer, Product
    80%
  • Staff Security Engineer, Application Security
    78%
  • Senior Frontend Engineer, Core
    76%
  • Machine Learning Engineer, Evals
    74%