Calling all front-end wizards!
Factory safety practices haven’t changed since the 50s -- and it shows.
Despite automation technology and advances in global supply chain management,
worker injury costs have increased yearly and the largest fraction of injury
still comes from material handling and assembly tasks. At TuMeke we’re
leveraging automation to keep factories safe and cut down on injury rates. Our
first product uses computer vision to perform safety inspections on factory
workstations automatically.
This isn't another flash-in-the-pan startup. We have serious ARR, and proven
PMF, and are playing in a sandbox that's not overrun by the AI hype machine.
Our financial crystal ball shows $100M ARR in 4 years, putting us in the
unicorn club with a $1B valuation. Translation: your equity could be your
ticket to early retirement.
If you join us, you’ll be an early team member in helping guide: The culture
of our organization Who we hire The focus of our products Engineering best
practices
Challenges you’ll work on:
* Implement frontend UI for critical new features that help reduce injury risk in factories.
* Improve the time it takes to re-encode user videos in a web playable format.
* Optimize processing times by starting processing loop as videos upload into S3
* Integrated pose estimation model inference directly into browser app and iOS app.
Skills Expected
* Build pixel-perfect, responsive designs
* Master the latest front-end frameworks
* Collaborate with backend gurus
* Tech - Javascript, Typescript, React, React Native
FAQ Who cares about factory safety? Factory injuries are an incredibly
expensive problem -- last year US manufacturers spent $60bln on healthcare
costs for their injured workers. The remarkable thing is that this cost isn’t
from freak accidents like a bandsaw going haywire (although that does happen);
it’s from soft tissue injuries that occur in the day-to-day of just doing your
job. That means these injuries can be prevented.
Companies try all sorts of things to reduce their injury rates, from training
sessions to even hiring physical therapists to watch workers do their jobs.
The majority of these techniques are incredibly manual and time intensive
procedures, so a lot of companies don't bother. This means there are millions
of people being injured worldwide that don’t need to be.
What about robots taking everyone’s job? There’s no doubt that automation is
eating away at manufacturing work -- but not as much as some
politicians/journalists would have you believe. A simple example: the most
common job at Amazon (with all of its financial/human capital) is still in the
warehouse. Even something as simple as box picking hasn’t been automated yet
and humans are doing the bulk of the work -- and getting unnecessarily injured
while they are at it. Skilled manual labor will be an integral part of the
global economy for at least the next 20 years.
As another data point, Amazon announced recently that it was investing $300
million to reduce the prevalence of musculoskeletal disorders (MSDs) in their
distribution centers. They were going to do this by hiring teams of physical
therapists and coaches to re-train employees and monitor whether jobs are done
in a biomechanically correct way. This company is purportedly at the forefront
of automation, and the best solution they’ve found to MSDs is just to hire a
bunch of people to coach their workers.
Who will I be working with? The three founders Diwakar, Riley, and Zach, Alan
Hedge, Mark, Dr. Jun He, Balaji, Sofia, and Mark. Dr. Hedge is a titan in the
field of industrial design and is a leading expert on worker safety. Dr. He
was the head of the ML department at Nanjing University, and is an expert in
human pose estimation and activity recognition. Our new backend engineer will
get to work closely with him to bring to life the theoretical work he’s done
his entire career.
How does this product technically work? We use a neural net to extract joint
information from a video and use some basic signal processing techniques to
reduce noise in the data and discard joint data we think will not be useful
for tracking industrial jobs. Then we go through standard medical diagnostic
tools to estimate the risk of a job from that joint information.
What state is the product in? We have a product being used by factories right
now, and we have early evidence that our solution reduces injuries for
customers. This group includes some of the largest/most respected
manufacturers out there -- happy to share more info during an interview.
How does TuMeke make money? We charge our customers (insurance companies and
manufacturing companies) a monthly subscription per specialist that uses our
tool. We’ll soon cross $3m ARR with our MVP product.
How big is the market for this? We currently charge a monthly subscription per
safety specialist that has a seat on our platform. There are ~840k safety
specialists in our target markets so if we multiply through by our monthly
price we get a starting market of: 840k * $250 * 12 = $2.5B.
Eventually we’ll charge a monthly subscription per worker that’s assessed on
our platform. Our competitors that make wearable devices to track worker
posture charge ~$20-25/mo/employee, so we believe we can charge a fraction of
that and still enjoy software margins (thanks to the algos you’ll help build!
:)). There are 201M industrial workers in our target market, and if we charge
$15/worker/month, that’s a $20B annual market! Definitely venture scale.
What’s the interview process like? Initially we’ll do a quick phone call to
make sure that we’re on the same page. After that, our process is: Shorter
1-hr technical interview with problems that we’ve faced at TuMeke before. No
trick/puzzle questions. (Paid) Take-home project that should take 2 days to
complete. Do a formal interview with the team. Should take 2-3 hours.
Reference checks with 3 other people you’ve worked with professionally.
Have you raised money? Yes! We’ve raised more than ten million in venture
dollars, and we’d be happy to share details on the phone :) Our investors
include Intel Capital, GSRV, Tuesday Capital, and OVOFund.