1,108 karma · joined September 13, 2010
There is definitely ageism in tech.
One thing that I think drives it is that it takes a while to figure out if a programmer is really capable. There are a lot of not very good programmers. When I interview someone with 2 years professional experience I need to be looking for potential. When I interview someone. When I interview someone with 25 years professional experience, I can be looking at results and experiences. I’ve hired one engineer who was leaving after 15+ years at IBM. He was great and had done a lot of things. I’ve hired another senior engineer who was bailing after 2-3 years at IBM, and he complained that everyone keeps their heads down and it was too easy to hide. And I’ve interviewed several former IBM lifers who I decided not to hire because they were the ones keeping their heads down and hiding, having had minimal impact and with limited experience making real technical decisions. Even if you are “age” blind, experience gives you a lot more to judge, and often to judge harshly.
It’s not just IBM. I can say the same about Cisco, HP, and the Mathworks. Probably any large engineering organization. And I am starting to see it in candidates leaving Amazon.
There are career trajectories available to developers which can seem safe, but lead to dead ends. Working on safe boring things in a large organization is one. Being a reluctant middle manager is another.
Also, yes, don’t have the numbers be BS or fail to include other useful narrative in your resume. But I so often see none of this, and leaving it all out is a sign someone hasn’t had to justify their decisions at that level.
Another thing I don’t see enough in this thread is emphasizing software you managed to avoid writing. That’s the real secret of being a 10x engineer: telling your organization when building something expensive is not necessary, either because you don’t really need it, can use something simpler, or can adopt something that already exists.
You have finite time on this earth. If this startup is no longer the right thing to be spending your time on, if you don’t think this or anything like it will work, then it is reasonable to quit and do something else. But I would second other people’s suggestion that you take a week or two to recover from what seems like burnout and seriously consider what the right next thing to do is and whether this corporate vehicle and these investors are part of the answer.
“We talked to 15 friendly CIOs at mid sized banks, and they all said that pen theft was a top three problem for them in 2018, they plan to budget up to $30k to solve it in 2019. We are pretty sure we can build RFID pen tracking systems for under $100 per pen, but we haven’t figured out how to price it for our market. I do know two bank branch managers who are willing to run beta tests.”
I mean, that’s still a dumb idea, but you can get started putting numbers around something without running down the whole 24 month clock. And usually most of the risk is in the product market fit, not in your tech team’s ability to create pen trackers.
Edit to add: now, if you integrate blockchain into your pen trackers, and have an ICO for pencoin, then this is totally fundable. Mid sized retail banks are definitely looking for a way to spend money on blockchain.
Heck, I raised some of my seed capital from a venture fund that is mostly backed by an international charity, and apparently that charity thinks that a little bit of venture capitalism is a good use of their money. I actually get an annual letter from their LPs about the charitable work we are supporting, and share it with my employees.
Not everything people try works out, and the world appears to overall be a better place for the trying.
In that context you could think of the post as “I got this job by saying I was going to help the company do X. Six months in I’m pretty sure that’s not going to work. I think I should just quit, but some of my coworkers think I should keep trying, or consider doing X’, since there are a lot of things at the company which could be better. What should I do?”
Advanced AI usually depends on finding a business model, which requires experience. And places like Deep Mind were started by researchers who had been at it a few decades.
Success stories include food production, household goods, and many kinds of media.
Failures include addictive drugs, gambling, global warming, and healthcare.
As a civilization we’re crushing it on problems solvable by capitalism. The solution to other problems is not new ways of measuring things to make them fungible (sounds like Wuffie). The solution is other forms of collective action and decision making, like functional governments and NGOs.
_How Much is Enough_ is a very conservative British book about this, and the idea that modern Capitalism has forgotten what the point of life might be.