Node - 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: <a href="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.
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