I visited many of those links when applying for jobs after grad-school. Networking is also important, many companies are recruiting via social networking such as linked-in and facebook these days. If they have a linked-in account, it should have a good updated resume/cv on it. I know our recruiters at SEAKR certainly troll through linked-in when recruiting. Good old fashioned keeping in touch and staying in touch with friends or friends of friends who are working in a career field of interest is also a good way to put your foot in the door.. When I first started looking at aerospace I got in touch with the brother of a friend who was able to get me a referral to fast-track at Lockheed Martin. One of my office-mates in grad-school's dad worked for Raytheon and he was able to get my resume passed on internally to the HR there. Unfortunately neither of these avenues landed me a job, but they did get me additional email contact with HR and a phone screening. In addition, I was also provided contacts to instrument designers at Ball Aerospace from my graduate advisor. All of these increased the opportunity of landing an interview and at least getting my foot in the door so to speak. Attending career fairs at AAS.org and any Science, Engineering and Technology Career fairs that occur are also good opportunities to reach out and talk with prospective. Industrial exhibits at those types of meetings also often are a good way to learn about the company. They often have some opportunity material and may actually be staffed with an HR person as well as the technical experts. https://www.cia.gov/careers/opportunities/science-technology also has a job listing for those interested in applying their critical thinking skills in the intelligence arena. I had considered looking at that area, but decided it was not for me at the time. Students who have done hands-on research and analysis with the faculty, and those who have taken to writing code to do that analysis may want to consider programming jobs and data analysis jobs. A quick goggle search of data analyst has a lot of "how-to's". In this day and age we are collecting so much digital data of every kind that it has almost become a science of it's own to interpret what was collected. The critical thinking and programming skills, developed in interpreting astronomy data are just as useful in astronomy as they are in searching other industry databases for things from marketing to science to finance.