Working at Sift Science | Glassdoor

Sift Science Overview

San Francisco, CA
51 to 200 employees
Company - Private
Unknown / Non-Applicable
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 PlatformTM uses real-time machine learning to accurately predict which users businesses can ... 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.


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


  • 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

Rating TrendsRating Trends
Recommend to a friend
Approve of CEO
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Jason Tan
37 Ratings
  • Helpful (1)

    "Great people, technology, and opportunity"

    • Work/Life Balance
    • Culture & Values
    • Career Opportunities
    • Comp & Benefits
    • Senior Management
    Current Employee - Software Engineer in San Francisco, CA
    Current Employee - Software Engineer in San Francisco, CA
    Positive Outlook
    Approves of CEO

    I have been working at Sift Science full-time (More than 3 years)


    I think Sift Science is one of the rare startups that has all four of:
     - Interesting technical challenges (in machine learning, systems, product/design, etc.).
     - For a socially-useful product (fighting bad guys on the Internet).
     - With a great group of people and a great culture (kind, humble, collaborative).
     - A business that is doing well and showing strong growth.

    I have learned a huge amount at Sift so far, as well as had a lot of fun. And I think there will continue to be lots of room for growth and advancement as the company keeps hiring and scaling up.


    Growing pains are to be expected at any rapidly-growing startup, and this was particularly true at Sift Science in early-to-mid-2018:
     - There were a few changes in senior leadership.
     - There was friction between engineering teams in the new Seattle office and engineering teams in SF, which led to a few departures before management got on top of the problem.

    But I think Sift Science has made the right changes this year and is set up for continued (and smoother) growth and success over the next few years.

See All 47 Reviews

Sift Science Photos

Sift Science photo of: .
Sift Science photo of: Help us build the Trust Platform!
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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



Getting an Interview

Getting an Interview




  1. Helpful (1)  

    Software Engineer Interview

    Anonymous Interview Candidate
    No Offer
    Neutral Experience
    Average Interview


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


    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 28 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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