ganjianwei

Ribbon | New York, NY | Full Time | ONSITE

Ribbon levels the playing field in housing. We help home buyers compete with investors and all-cash offers and win their dream home. We do this by enabling everyday home buyers and realtors with the technology, data science, and capital that only the largest investors have access to.

We're well funded by Bain Capital Ventures, Greylock, NFX (Pete Flint Trulia founder).

Join a world-class product & eng team--last week alone, we had 2 ex-YC founders (1 successfully sold his co, the other was an ex-Tesla autopilot eng) and an Airbnb product engineer join us. Even more importantly, work on a meaningful mission where we change lives by helping people achieve homeownership.

We're hiring across a ton of roles including:

* iOS engineer (Swift)

* Full-stack product engineer (React, Django, Python, Google Cloud)

* Product Designer (We use Figma but other tools are cool too :)

https://jobs.lever.co/ribbon or bonus points - email me directly base64.b64decode('d2VpQHJpYmJvbmhvbWUuY29t')

Achieve | Founding Product & Frontend Engineer | New York City | Onsite

We an early stage startup making homeownership more achievable in the US, starting with leveling the playing field between the average homebuyer who needs a mortgage and wealthy individuals and investors who buy homes with all-cash. We’re doing this with a unique product that combines technology, finance and real estate operations.

We are looking for a founding product & frontend engineer to join our team. You’ll be a great fit if you love to craft product as well as engineering, bring strong frontend skills to the table, and care about working on a meaningful mission. We use Python + React on GCP but believe the best engineers can learn a new stack extremely quickly.

We’re a team of ex-Twitter, Lending Club, Managed by Q folks (current at 6 people) with real estate, machine learning, and consumer apps experience. We’re well funded by founders of Trulia/Zillow, and investors of Coinbase, Redfin, Blend, and separately, have raised enough initial real estate capital to purchase many, many homes for people.

Ping me (co-founder/CTO) wei at achieveliving.com if you’re interested.

class TellApart(StartUp):

  def __init__(self):
    super(TellApart, self).__init__(
        description='Predictive marketing platform',
        locations=['Burlingame, CA', 'New York, NY'],
        profitable=True,
        engineers=50,
        annual_revenue_lower_bound=10**8,
        data_size=DataSizes.BIG,
    )

  @property
  def technologies(self):
    return [
      'mesos', 'aurora', 'hadoop', 'spark', 'parquet', 'kafka', 'finagle',
      'mysql', 'postgresql', 'emberjs', 'd3',
    ]

  def contact(self, applicant_email, resume=None, linkedin=None, github=None):
    if not (resume or linkedin or github):
      raise ValueError('We\'d love to learn more about you! Please provide some'
                       ' info')
    email.send('[email protected]', 'HN applicant who can read Python',
               package_up(applicant_email, resume, linkedin, github))

Incredible. How do they do distribution? Quite a feat to reach so many farmers in 3 years.

TellApart - Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (25+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

This is likely to get traction because generally:

- people have already signed up with Facebook

- people don't trust app developers with their FB data, and don't trust app devs not to post crap to their timelines

- people hate signing up for another service again with email and password (you have to give out your email, you have to create/reuse and remember a password)

The more open question is if it will cannibalize FB logins or get incremental people to sign up with FB (people want to do this anonymously but didn't have the option and gave up).

Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (25+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Data product engineers (personalization products)

TellApart is a ~50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

I work at a 50 person (20+ engineers) startup (http://www.tellapart.com/) that works on real time personalization for retailers. Here are some specific things we're working on that folks might find interesting:

- Rearchitecting our data system to use the lambda architecture (http://www.manning.com/marz/) so we can build better personalization products on top of retailers' customer data.

- Building and improving machine learning models to predict user's behavior and what users want based on a ton of datapoints we collect for hundreds of millions of users.

{my_username[-3:]}@tellapart.com if you'd like to find out more

Burlingame, CA (between SF and Palo Alto)

TellApart is hiring: Dev ops engineers, Hadoop/data-pipeline engineers, Generalist engineers who want to build data products.

We help ecommerce companies use their customer data to improve their shopping experience.

- Our core retargeting business is growing extremely quickly, but we need more great engineers to build out more data products that will have massive impact on ecommerce--both helping retailers grow their businesses and improving the experience of hundred of millions of shoppers.

- We're building systems that have to deal with scale: 60K qps, 1TB data generated per day.

- Our business model means our machine learning and predictive models have to work, if not we'll lose a ton of money.

- Here's a glimpse of what our engineering team has done and a peek into our engineering culture: http://tellaparteng.tumblr.com/

If this sounds exciting to you, email me wei at tellapart.com. http://tellapart.com/company/jobs

TellApart - Burlingame, CA (between SF and Palo Alto)

Hiring: Data vis engineers, Dev ops engineers, FE JavaScript engineers, Hadoop experts, Generalist engineers who want to build data products.

We help ecommerce companies make sense of their customer data, and use this data to build products that help them engage their customers more effectively.

- Our core retargeting business is growing extremely quickly, but we need more great engineers to build out more data products that will have massive impact on ecommerce--both helping retailers grow their businesses and improving the experience of hundred of millions of shoppers.

- We're building systems that have to scale massively. Here's some stuff we've built and parts of our stack: (http://tellapart.com/gevent-at-tellapart and http://tellapart.com/taba-low-latency-event-aggregation)

If this sounds exciting to you, email me wei at tellapart.com. http://tellapart.com/company/jobs

TellApart - Burlingame, CA (between SF and Palo Alto)

Hiring: Data vis engineers, Dev ops engineers, FE JavaScript engineers, Hadoop experts, Generalist engineers who want to build data products.

We help ecommerce companies make sense of their customer data, and use this data to build products that help them engage their customers more effectively.

- Our core retargeting business is growing extremely quickly, but we need more great engineers to build out more data products that will have massive impact on ecommerce--both helping retailers grow their businesses and improving the experience of hundred of millions of shoppers.

- We're building systems that have to scale massively. Here's some of interesting tech: (http://tellapart.com/gevent-at-tellapart and http://tellapart.com/taba-low-latency-event-aggregation)

If this sounds exciting to you, email me wei at tellapart.com.

http://tellapart.com/company/jobs

We sponsor H1Bs too.

Technology as an industry is different from verticals such as cars, books, etc. This quote by Mark Andreessen in an interview with Charlie rose sums it up well:

"The core idea we have, the core theory we have, is that the fundamental output of a technology company is innovation and that's very different than a lot of businesses, right? The fundamental output of a car company is cars. Or the fundamental output of a bank is loans. The fundamental output of a tech company is innovation, so, the value of what you've actually built so far, and are shipping today is a small percentage of the value of what you're going to ship in the future if you're good at innovation." Source: http://www.businessinsider.com/marc-andreessen-on-charlie-ro...

If you believe that Silicon Valley is good at innovation, and not just software, or hardware, or social networks, then by definition, it will continue to be the hotbed of economic activity as specific verticals die out or get disrupted.

Growth matters because Quora raised a ton of venture capital and needs to eventually generate revenue to justify the high valuation, and there's a limit on revenue/user they expect to generate. Simplified version of web apps' revenue calculation:

Total revenue = revenue per user * no. of users

There's an upper bound on how much each user generates in revenue (either through ads, subscriptions), e.g. imagine paying > $200/yr to use Quora, unlikely that more than 100,000 people are willing to do that. So the fastest way to grow is through having more users. On top of pure revenue/user number, there's the network effects of having more users, as well as becoming a key part of cultural fabric e.g. most celebrities have Twitter accounts now.

DJ Patil will be giving a tech talk on Data Jujitsu at TellApart's office in Burlingame, CA on July 25 (Wed).

More details and RSVP at http://bigdatatellatalk.eventbrite.com/

Here's a write up of the event:

Data Jujitsu: The Art of Turning Data into Product

Join us for an evening of networking and an interactive talk with DJ Patil - Data Scientist in Residence at Greylock Partners and previously Head of Data Products at LinkedIn.

DJ will discuss his just published report focused on how an entirely new approach is required to build great data products. This includes new paradigms of design, web development, engineering, and testing. He will share the Data Jujitsu approach and the implications for all of us focused on Big Data.