if statment to compare strings to two different cases in Python pandas

Task: To check if a column in a .csv file has either the string "Sales" or "Products". If so it would count them and add it to the cell in the csv file.

Issue being returned: `ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

  merger = dm[["GEO", "JOB_CATEGORY"]].copy()

  global geos 
  geos = ["Asia", "Europe", "North America"]

  #Each GEO is filtered via JOB CATEGORY to only select the role "Sales" and "Products"
  cell = ["B2", "C2", "D2", "E2", "F2" , "G2" , "H2", "I2"]

  for i in range(len(geos)):
     sheet[cell[i]] = merger[(merger.JOB_CATEGORY == "Sales" or merger.JOB_CATEGORY == "Products") & (merger.GEO == geos[i])].count()['GEO']

  sheet['J2'] = merger[(merger.JOB_CATEGORY == "Sales" or merger.JOB_CATEGORY == "Products")].count()['GEO']