adityakothadiya
Joined 19 years ago
Joined 19 years ago
Various Senior/Junior Software Engineering positions.
Key technical areas are - Big Data, Prediction Platform, Machine Learning, Web Applications, Mobile Applications, QA.
Who we are?
[24]7 (http://www.247-inc.com) is a pre-IPO Software Company backed by Sequoia Capital. At [24]7, we're building the next-generation predictive analytics platform to deliver an intuitive consumer experiences. We design and develop new product ideas and features from ground up. Our work involves building high-performance and reliable platform products, and deploying them in distributed environments to offer services to world's large enterprise clients.
What you'll do?
In Software Engineering team, you will work on building a highly-scalable big data platform, building machine learning based predictive models, various consumer facing web applications or mobile applications, etc. You’ll find the work environment inspiring and rewarding. We offer a fast-paced, collaborative workplace, where individuals are empowered to make decisions and build upon the company's success.
How to apply?
You can apply directly using JobVite from the link at the bottom of each job description.
Or you can also send me an email with your résume and something interesting about yourself to aditya DOT kothadiya AT 247-inc.com.
We're based in Silicon Valley, but if you live outside the Valley, we still really want to talk to you (we'll pay for your flight, hotel, and meals when you come interview with us).
What we do is - we send requests to our server from our customers' site with key information that we want to track, and then we send those events to Mixpanel through server API (e.g. PHP) calls.
It works really well for us. We're measuring how our customers' customers are using our Javascript based widget, and are able to improve our performance, engagement, etc.
Hope this helps.
It has collaborative note-editor like Google. So during the meeting, you and your colleagues can take notes in the same document, or you can also take private notes.
All manual typed notes are linked to meeting recording and transcript to refer back the context later on.
On top of that, Avoma's AI will also extract some additional notes - like Action items, etc.
And if you or AI missed taking some notes, you can highlight the transcript text to add it to Notes.
It's the best blend of human intelligence working with artificial intelligence to create most structured notes, in the least amount of time.
And it works with all conferencing providers – Zoom, Google Meet, Microsoft Teams, GoToMeeting, etc. So you don't have to worry which conferencing supports recording or not. It's always taken care for you.
Hope this helps. Feel free to check it out at https://www.avoma.com.