Math is a tool that is indispensable in a huge number of careers. Scientists (think Physics, Chemistry, or Biology) are using math everyday in their labs, engineers of all kinds (aerospace, computer, electric engineers, etc, etc) constantly need to use math as they design and test systems, and financial analysts rely on math as they try to create models which explain and predict the stock market and the economy (with varying degrees of success as recent events have shown!). But all sorts of careers which you might think of as less quantitative than those already listed are using math all the time too. Social scientists like economists, experimental psychologists, and political scientists need to understand and use statistics as they design experiments and interpret their results. Computer programmers need to understand the most efficient way to design and implement their programs. Companies like Facebook, Google, and Twitter employ large teams of people who have math backgrounds in order to help them decide how to organize and interpret the data they have and to figure out how to sell ads using their data. In fact, many advertisers use math and statistics to understand and better target different demographics.
Math is useful because of (not in spite of) how abstract it is. When you are learning math you are learning new ways to think and new approaches to solving problems. This is a skill that is valued in every possible career. Common math careers include becoming a teacher, a scientist, an actuary or working for a financial firm (banks, hedge funds, credit card companies, etc). There are all sorts of companies you may not have considered though which value knowledge of math including the CIA, NASA, Apple, Microsoft, Ebay, the Census Bureau, the IRS, and all sorts of large companies like AT&T or IBM have large teams of people helping them decide how to run their businesses more efficiently (this field is called operations research). Math is a field that opens all kinds of doors, and it is only becoming more important as our societies' focus and reliance on technology and data continues to increase.