Close - San Francisco Hiring full-time in SF (SoMA), contract-to-hire preferred:
* Backend Software Engineer (python)
* Data Engineer
* Data Scientist
We're a seed funded startup - 3 former Googlers - and we're tackling the messy world of business. Every day, people shake hands over million-dollar deals that can change the future of a company. From fundraising and acquisitions to partnerships, promotions and product placement, businesses get together and make new things happen. But there's no platform for them; they typically overload sales-focused CRMs, or are stuck in the world of spreadsheets and email. We're changing that. It's a fascinating data problem as we're mapping out professional and company-to-company networks, trying to understand who does business with whom and why, feeling our way around the underlying graph that nobody's explicitly mapped out before. From old school tie to the boardroom, why do people do business with each other? What are the trust and influence networks? What's the equivalent of PageRank for investors? What does it mean when a VP moves from one company to another? How do I get my startup funded?
We're trying to answer all these questions. We have an invite-only product already launched, we're building a team-facing solution, and we're expanding our data team to work on the platform that powers it all. Here's our team's take on the space: https://medium.com/@jennielees/the-joy-of-data-a1d3757d3567 Looking for fast learners who can get their hands dirty, quickly; who know when to duct tape and when to have 100% test coverage (think like a hacker, ship like a pro); who don't mind being wrong occasionally; and who are intrigued by the overall space we're in. We've had a good run from HN posts so far, hoping to continue it. You'd be single-digit employee and have a significant chance to influence our culture and growth, as well as immense impact on the product itself. We have a generous equity setup, though we prefer contract-to-hire so we can figure out if we'd work well together. For our data roles, we prefer Python. Graph-specific data experience is a bonus.
Close - San Francisco
Hiring full-time in SF (SoMA), contract-to-hire preferred:
* Backend Software Engineer (python)
* Data Engineer
* Data Scientist
We're a seed funded startup - 3 former Googlers - and we're tackling the messy world of business. Every day, people shake hands over million-dollar deals that can change the future of a company. From fundraising and acquisitions to partnerships, promotions and product placement, businesses get together and make new things happen. But there's no platform for them; they typically overload sales-focused CRMs, or are stuck in the world of spreadsheets and email. We're changing that.
It's a fascinating data problem as we're mapping out professional and company-to-company networks, trying to understand who does business with whom and why, feeling our way around the underlying graph that nobody's explicitly mapped out before. From old school tie to the boardroom, why do people do business with each other? What are the trust and influence networks? What's the equivalent of PageRank for investors? What does it mean when a VP moves from one company to another? How do I get my startup funded?
We're trying to answer all these questions. We have an invite-only product already launched, we're building a team-facing solution, and we're expanding our data team to work on the platform that powers it all. Here's our team's take on the space: https://medium.com/@jennielees/the-joy-of-data-a1d3757d3567
Looking for fast learners who can get their hands dirty, quickly; who know when to duct tape and when to have 100% test coverage (think like a hacker, ship like a pro); who don't mind being wrong occasionally; and who are intrigued by the overall space we're in. We've had a good run from HN posts so far, hoping to continue it.
You'd be single-digit employee and have a significant chance to influence our culture and growth, as well as immense impact on the product itself. We have a generous equity setup, though we prefer contract-to-hire so we can figure out if we'd work well together.
For our generalist role we'd prefer it if you have Rails experience; for our data roles, Python. Graph-specific data experience is a bonus.
This sounds about right. I've worked at Google for the last 6 years and referred several of my colleagues, the vast majority of which were hired and their experience was horrible. When Google wants to act fast they can, the main issue is transparency between HR and organizational changes with corresponding job requisitions (most of which are outdated). I believe this is changing, but it also seems every week our hiring process changes as well which makes things much more complicated. Your best bet is knowing someone who works there and having them refer you to the right people directly. I do this all the time for people who I don't even know that reach out to me on Linkedin. Just food for thought.
I strongly support the points this article makes about what the online dating space currently has to offer.
Ultimately, I believe that people are better matchmakers or judges of compatibility than a survey or a machine. Drawing from my own personal experience, I have played cupid and matched 4 of my friends that have ended up getting married. Seeing the lack of personal touch in online dating, I started SocialHack (socialhacks.me) as an attempt to bridge that gap between daily social interactions and the "social" interactions we have on the web.
Online dating has become a 1B/year business, and SocialHack compliments online dating by adding that personal touch. Individuals go to online dating sites to find a date, but don't know where to ask advice about what to wear, how to respond to a text, where to make reservations, etc. Ideally, I would like to build out this MVP into a peer-to-peer social advice platform, I believe that this sort of a platform would naturally disrupt online dating as it exists now because consultants will want to match their clients with friends from their own local network.
Our female SocialHackers provide online and offline services ranging from fashion consulting/personal shopping, date planning/advising, in-field "wing-women" services, and providing feedback for online dating profiles.
I created SocialHack during the Lean Startup Machine weekend in SF, winning runner-up and making $100 (per our proof of concept on Skyara.com) via our MVP socialhacks.me all in less than 2 days. Our success in proving the concept convinced me that there is a true need for this sort of service. More interestingly, female enthusiasm for the concept suggests that a chicken and egg problem wouldn't exist here.
I'd love to hear feedback on the idea and would love to work with anyone interested in developing SocialHack further.
We're a seed funded startup - 3 former Googlers - and we're tackling the messy world of business. Every day, people shake hands over million-dollar deals that can change the future of a company. From fundraising and acquisitions to partnerships, promotions and product placement, businesses get together and make new things happen. But there's no platform for them; they typically overload sales-focused CRMs, or are stuck in the world of spreadsheets and email. We're changing that. It's a fascinating data problem as we're mapping out professional and company-to-company networks, trying to understand who does business with whom and why, feeling our way around the underlying graph that nobody's explicitly mapped out before. From old school tie to the boardroom, why do people do business with each other? What are the trust and influence networks? What's the equivalent of PageRank for investors? What does it mean when a VP moves from one company to another? How do I get my startup funded?
We're trying to answer all these questions. We have an invite-only product already launched, we're building a team-facing solution, and we're expanding our data team to work on the platform that powers it all. Here's our team's take on the space: https://medium.com/@jennielees/the-joy-of-data-a1d3757d3567 Looking for fast learners who can get their hands dirty, quickly; who know when to duct tape and when to have 100% test coverage (think like a hacker, ship like a pro); who don't mind being wrong occasionally; and who are intrigued by the overall space we're in. We've had a good run from HN posts so far, hoping to continue it. You'd be single-digit employee and have a significant chance to influence our culture and growth, as well as immense impact on the product itself. We have a generous equity setup, though we prefer contract-to-hire so we can figure out if we'd work well together. For our data roles, we prefer Python. Graph-specific data experience is a bonus.
Email [email protected]