Working at Sift Science | Glassdoor

Sift Science Overview

San Francisco, CA
51 to 200 employees
2011
Company - Private
Internet
Unknown / Non-Applicable
Every day, hundreds of online businesses – like Airbnb, Yelp, Twitter, Twilio, and Jet.com – use Sift Science's world-class machine learning technology to protect their platforms from fraud and abuse. Comprised of a multidisciplinary team of ... Read more

Mission: Our mission is to power trust online. We're using machine learning to fight fraud and abuse, protecting 6,000+ sites and apps from fraudsters, spammers, and scammers.

Sift Science – Why Work For Us?


Sift Science is a hyper-growth Series D company that facilitates the largest trust network of online businesses and consumers on the internet.

The Sift Science Trust Platform uses real-time machine learning to accurately predict which users businesses can trust, and which ones they can’t. The upshot? Consumers know which companies they can entrust with their personal and financial information. And businesses can customize each user's experience based on their trust score – which leads to more revenue, higher conversion rates, and less fraud and abuse.

Come do your best work, with the brightest fraud fighters in the industry - Sift Careers

Why work with us - Sift Careers

Work/life balance

We’ve got runners, cyclists, yogis, and even a Sift Hiking Club. We also participate in kickball and basketball leagues. If you’re more the indoor type, join our board and video game enthusiasts. We host movie nights and have clubs for cheese, coffee, wine, and whiskey.

Investing in our people

We invested in a Talent Development function before any of our peers. This team is responsible for the strategy and execution of our learning culture, including manager effectiveness feedback and training, a peer feedback process, Radical Candor training, individual coaching, and just-in-time learning content from cutting-edge providers.

Community

Whether it’s hosting middle schoolers, a Women in Tech event, or a discussion about machine learning, Sifties are always finding a way to give back to the community. Sift Cares is an initiative which organizes a variety of events throughout the year, allowing Sifties to get involved with a myriad of worthy community causes through volunteering, events, and knowledge sharing.

Our Mission

We’re solving an important problem. Fraud and abuse plague online businesses of all types, from marketplaces to payment processors, social networks to e-commerce stores. In fighting fraud we’re making online experiences faster, smoother, and safer – using the smartest technology (and people!) around. Very rarely do you find the opportunity to work with a company that leverages cutting-edge technology while solving critical global problems


What we stand for

Benefits

  • Medical, dental and vision insurance
  • Catered meals and a fully stocked kitchen 
  • Flexible vacation time 
  • Transportation compensation 
  • Gym membership 
  • Career growth tools
  • Fresh snacks for every kind of diet 
  • Employee Referral Bonus Program

What Sifties are saying 

Engineering @ Sift

The 30+ members of our engineering team are building:

  • Highly Scalable, Distributed Microservices that can handle hundreds of millions of events per day
  • Machine Learning Pipeline leveraging Kafka & Spark
  • 100+ Node HBase & ElasticSearch Cluster that stores Petabytes of global fraud data
  • Distributed Workflow Systems that automate our key customers’ business processes
  • Highly interactive UI leveraged by thousands of fraud analysts around the globe using React.js, ES6, and D3.js

We're open for business in Seattle

For Developers

Easy integration? Don't take our word for it!

Watch a brief excerpt from Michael Widell's talk at the Nordic API conference, where he uses Sift Science as an example of a product that is easy-to-integrate and has open, accessible, and easy to understand API documentation.

Sift Science Reviews

4.2
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Rating TrendsRating Trends
Recommend to a friend
Approve of CEO
(no image)
Jason Tan
35 Ratings
  • Helpful (4)

    "Addressing some challenges"

    StarStarStarStarStar
    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Anonymous Employee in San Francisco, CA
    Current Employee - Anonymous Employee in San Francisco, CA
    Recommends
    Neutral Outlook
    Approves of CEO

    I have been working at Sift Science full-time (More than a year)

    Pros

    - The company has a mission - building trust on the internet - that is easy to believe in and support. It is a key differentiator when considering the thousands of companies to work for in the Bay Area.

    - I feel like the work that I do matters, and I can see the impact of it quickly. It doesn't take hundreds of meetings and approvals to get stuff done.

    - Excited about new COO and marketing leadership. Hopeful that they'll do a great job.

    Cons

    - A little uncertainty right now with changes in leadership and other familiar faces leaving the company. For some people I can understand how that can be seriously unsettling, but I've been through this (and more) with a company that is successful today on the stock market. I believe the changes are for the better, and that we will find the right management to lead us to our goals.

See All 44 Reviews

Sift Science Photos

Sift Science photo of: .
Sift Science photo of: Help us build the Trust Platform!
Sift Science photo of: .
Sift Science photo of: Daily catered lunch
Sift Science photo of: We have many bike racks for those who prefer to commute on two wheels
Sift Science photo of: 2017 Company offsite in Santa Cruz
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Sift Science Interviews

Experience

Experience
70%
11%
19%

Getting an Interview

Getting an Interview
44%
32%
12%
4
4
4

Difficulty

3.0
Average

Difficulty

Hard
Average
Easy
  1. Helpful (1)  

    Software Engineer Interview

    Anonymous Interview Candidate
    No Offer
    Neutral Experience
    Average Interview

    Application

    I applied through other source. The process took a week. I interviewed at Sift Science in October 2014.

    Interview

    I applied through Piazza Careers and was called only a week after. The first round was a basic programming round. The questions asked were 1) Level order traversal of a tree 2) Difference between a shallow vs deep copy

    Interview Questions

See All 27 Interviews

Sift Science Awards & Accolades

  • Best Workplace, Inc. Magazine, 2018
  • Emerging Technology Award (METAward)(Start-Up Category), Merchant Risk Council, 2014
  • Industry Award, MRC Technology, 2017
  • Best Antifraud Solution, CNP Awards, 2018
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