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('wei@tellapart.com', '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.

farmers talk to each other, a lot. Ideas spread very quickly, word of mouth is huge.

Heck, just look up how combines travel from south to north during harvest. Farmers are connected and talkative.

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).

App developers have never been responsible for a leak. I literally cannot find a reference in the Google to an app company leaking user data they were authorized by FB to hold.

You know what I can find? Facebook having leaky permissions for a year and a half.

I would hope this goes towards the iOS permission model. You would almost always login anonymously. Then pieces of information are requested on demand when a user takes action that specifically needs that information.

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