Data-driven Approach to Launching your Career
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500 Miles is the leading mobile platform for talented candidates to discover, evaluate and engage with high-growth tech employers. This talk was specially designed for Northwestern University students
Data-driven Approach to Launching your Career
- 1. Talk Specially Designed for Northwestern University Students Oct 2015 Viral Kadakia by Data Driven Approach to Launching your Career
- 2. 1. Candidates from 500+ universities are using 500 Miles. Get the free app : http://ios.500miles.io : http://android.500miles.io 2. Invite your friends & colleagues to download the app. They will thank you for it 3. Employers are looking for interns and full-time graduates. Apply to roles from NOW HIRING on 500 Miles stack. Candidates from MIT, Ohio State, Georgia Tech & UIUC are already in interviews 4. Join the conversation on facebook by joining the Tech Jobs & Internships Launch your Career!
- 3. Advisors: Gokul Rajaram (VP, Square), Jason Spero (VP, Google), Saqi Mehta (Head of University Relations, Square), Investors: Vibhu Mittal (CEO, Edmodo), Saifu Angto (Early Googler) A word about me Viral Kadakia Vice President of Product Management, Hightail Co-founder & CEO, TrustHop (acquired by LinkedIn) Director of Product & Marketing, Zimbra (acquired by Yahoo) MBA from Kellogg, MS in ECE from U Texas, Austin
- 4. Mohak Shroff LinkedIn What do these industry leaders have in common? Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 5. Mohak Shroff LinkedIn What do these industry leaders have in common? VP of Engineering 2013 Software Engineer 2000 Engineering Lead 2008 University of Texas, Austin Class of 2000 Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 6. What do these industry leaders have in common? VP of Engineering 2012 Engineer 2005 Software Engineer 2004 Carnegie Mellon University Class of 2004 Aditya Agarwal Dropbox
- 7. VP, Search & UX 2005 CEO 2012 Software Engineer 1999 Stanford University Class of 1999 What do these industry leaders have in common? Mohak Shroff LinkedIn Marissa Mayer Yahoo! Aditya Agarwal Dropbox
- 8. What do these industry leaders have in common? CareerJob Didnt get a job Found a career launching employer
- 10. What does Computer Science teach us about picking the right career? (Hint: Hill Climbing Algorithm) You could start here or here People early in their career should learn from computer science: meander some in your walk (especially early on), randomly drop yourself into new parts of the terrain, and when you find the highest hill, dont waste any more time on the current hill no matter how much better the next step up might appear. - Chris Dixon (General Partner, Andreessen Horowitz)
- 11. How do you discover these career launching companies? 1. Discover
- 14. How do you tell if it is a career launching company? 2. Evaluate
- 15. Before we put machines to work, lets first ask us humanoids this question? Is it a company that is: Solving a critical problem in a huge market with an innovative solution Has hired a top-notch team from well known companies ..and great universities Team that is growing fast and one that is paid well Hypothesis that investors believe in are willing to fund Business with a lot of customer traction already 2. Evaluate
- 18. 1. Which tech company with hired the most talent in the past year? 2. Which employer did Airbnb hire the most from? 3. Alums of which university has Spotify hired the most? 4. How much more does Square pay to its engineers as compared to others? 5. Which tech company sponsored the most H-1B visas last year? Sept 2015 http://ios.500miles.io http://android.500miles.io Trivia
- 20. How do we learn more about users? What powers the app? How do we optimize our users experience? How do we get all the data needed? How should this information be presented?
- 21. Logical architecture Collect user dataData ingestion User analytics Insights generation Recommendation engine
- 22. Big Data ingestion Collect user dataNews feed Proprietary data Public data / API Social network Entity extraction Entity de-duplication Relationship mappers Big DB Processing engine
- 23. IBM International Business Machines IBM Corp IBM Corporation IBM inc. Entity De-duplication Northwestern Northwestern Univ Northwestern University, Evanston IBM Northwestern University
- 24. Google Facebook Microsoft Apple LinkedIn, etc Square Dropbox Sprinklr, etc Cloudera Dropbox Uber SurveyMonkey, etc Twitter Tableau Box, etc Brands - Large cap Brands - High growth Heavily funded Recent IPOs Cloudera Salesforce Box Amazon, etc Uber Lyft, etc Enterprise, Cloud Consumer 500 Miles, etc Early stage Classification 24
- 25. Company Data Machine learning challenges Example Jobs Connections User behaviors User preferences Skills Recommendations
- 26. Recommendations Square, Dropbox (high- growth) Facebook, Google (Brands) Company Data Personalized recommendations User preferences User analytics Example
- 27. So, is this still the best way to find the right employer that will launch your career?
- 28. Our members come from over 445 campuses Bootstrap
- 29. Egnyte at a glance Pre-IPO company with $62M in funding 200+ employees in Mountain View, CA (heart of Silicon Valley) & Poland Looking for interns and full-time graduates Winning over Dropbox & Box in the enterprise space Millions of paid users and thousands of customers including IKEA, Home Depot, AppDynamics, Aerohive Networks, Red Bull and others
- 30. ThoughtSpot at a glance ThoughtSpots vision to become Google for Business Knowledge Team of top industry veterans including co-founder of Nutanix (Pre-IPO), technical leaders from Google, Amazon, Microsoft (Research) and Oracle Scale-out architecture supports searching 10+ billion records in a matter of ms Series B funded company ($40M) and 95+ employees in Palo Alto, CA Looking for interns and full-time graduates
- 31. Chartcube at a glance Chartcubes product offers compelling data visualizations and collaboration experiences from a complex excel spreadsheet in a mobile app Team of industry veterans from eBay, Apple, McKinsey and Sun. Backed by investors of Nest, Lithium and Zuora Looking for interns and full-time graduates
- 32. 500 Miles Coding Challenge Email your answers to flock@500miles.io 1. Write a function to return top-K elements in an array. Ordering is not needed. Assume large data sets. (Extra credit: What is the time complexity and space complexity of your solution?) 2. Write a function to find the minimum number of coins to make change. Input is the actual amount to make change for, and the denomination set itself. Example: function(77, {1, 5, 10, 25, 50}) = 4
- 33. Responsibilities Evangelist & Marketing champion for the campus Speak at university forums on this topic Support students and answer questions Channel feedback & suggest product improvements Requirements CS/ECE background Well spoken & committed (3-5 hours/week) Leadership experience (preferred) Interested in data mining & machine learning (preferred) Campus Lead
- 34. Perks Early access to 500 Miles products Access to 500 Miles dataset for university projects First dibs at internship and full-time openings Interact with team and ambassadors from other colleges Referrals & recommendations for positions at other Tech employers Recognition from the company Process Come talk to us today or drop us an email flock@500miles.io In a few sentences, explain how you would support students and get the word out Campus Lead
- 35. Questions?
Editor's Notes
- #4: We are an early stage startup. Viral is the co-founder & CEO of 500 Miles. Before this, Viral was VP of Products at Hightail, started Trusthop that was acquired by LinkedIn, was Director of Product & Marketing & Zimbra that was acquired by Yahoo. He is a geek with an MS from UT and holds and MBA from Kellogg. I am Murali Sangubhatla, head of Engineering. Prior to co-founding 500 Miles, I led the cloud services team at Box and was founding member of Windows Azure networking team. I am a Gopher, got my MS from UMN. I had been involved in campus recruiting throughout and 500 Miles is where my passion for campus recruiting and technology came together. Our advisory board and investors comprise eminent leaders in the Silicon Valley. ..
- #11: I spent too bit more time climbing the wrong hill. Microsoft is a great company and I learnt a ton. But, it was harder to get to my long term ambition. Dont climb the wrong hill. Teaser rhetorical question #1: So, do you want to start your career by climbing a small hill or a large one? Teaser rhetorical question #2: Do you want to wait for 7 years (like Mohak) before you do that or right out of the gate?
- #12: I spent too bit more time climbing the wrong hill. Microsoft is a great company and I learnt a ton. But, it was harder to get to my long term ambition. Dont climb the wrong hill.
- #13: These large hills (often referred to as unicorns) born everyday. One needs to stay in the know by following tons of news feeds such as techcrunch, angellist, Venturebeat. Let us say, you managed to stay buzzed, how do you sift through such large amounts of data and signals?
- #14: These large hills (often referred to as unicorns) born everyday. One needs to stay in the know by following tons of news feeds such as techcrunch, angellist, Venturebeat. Let us say, you managed to stay buzzed, how do you sift through such large amounts of data and signals?
- #16: Let us assume that youve spent time assimilating this information and made your own list, what criteria do you use to tell if this is a good company? Can you throw the names of few of your favorite companies? Let us say you picked .. Can you tell if .. YES .. YES .. Not sure .. Not sure .. Not sure
- #20: Good evening UPenn! Before I jump into the technical part of the presentation, can I get a quick show of hands of iPhone users? Android? It is an honor to be in front of some of the brightest minds in the world. As I talk about the engineering behind this amazing product, our hope is that you will walk away with the silicon valley way of algorithms to big data.
- #27: Use link prediction to see if there is a potentially good interaction between the company and you.