Computer Graphics; Data Science; and ML/AI are your obvious ones. Most engineers can benefit from it, because all you're doing is modelling systems; take a look at how Spice programs model electrical circuits as an example of this. There's a lot of math that needs an understanding of vector spaces to grasp the concepts. Most Lin Alg books and courses that are more geared towards graduate level students (so folks with the basic lin alg info under their belt) work on generalization, and it directly leads to some interesting applications in probability, graph theory, number theory, and a whole host of other more advanced topics. There's even whole programs built around solving things from a linear algebra perspective (see MatLab for example)
Linear algebra is just a tool that fits nicely in a lot of computer science and various engineering toolboxes.
Here's a fun problem which can be solved by linear algebra.
You have a group of 20 people. Each of them rates how much they like everyone else, on a scale of 1 to 10. Your task is to figure out how popular everyone is, again on a scale from 1 to 10. Someone's "popularity" is based on how much the other kids like them, except the cool kids' opinion count more. You're popular if the popular people like you.
Can you mathematically compute how popular everyone is? Is the solution unique? Or might there be more than one solution? The problem seems hopelessly circular -- you have to figure out who is popular before you can figure out who is popular -- but actually it turns out to be a standard linear algebra problem.
Suppose that the popularities of everyone are p_1, p_2, through p_20. Then, if you write "~" for "is proportional to", you get a bunch of equations like
0p_1 + 8p_2 + 4p_3 + ... + 4p_20 ~ p_1
7p_2 + 0p_2 + 7p_3 + ... + 9p_20 ~ p_2
...
if you assume that Person #1 is rated 8 by Person #2, 4 by Person #3, and so on, and that nobody rates themselves.
Anyway, you can combine these into a matrix equation
Mv = cv
where M is the matrix with all the popularity ratings that students give each other, v is a vector which says how popular everyone is, and c is a constant. M is known, and you have to solve it for v and c.
Anyway, v is an eigenvector of the matrix M, and finding them is a standard problem.
Linear algebra is just a tool that fits nicely in a lot of computer science and various engineering toolboxes.