Sift_
As of 30 October 2026, Sift has 5 open roles (4 new in 30 days), its data & ai team is hiring most, and its postings name Python, Core ML and Apache Flink as the tools the team works in.
As of 30 October 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- San Francisco, California, United States
- Employees
- 201-500 employees (linkedin)
- Sells to
- software-as-a-service, e-commerce, marketplaces
- Certifications on site
- Site languages
- EN
- Career system
- Ashby
Sift in one screen
Read from sift.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Sift is a fraud detection and risk decisioning platform that protects online businesses from payment fraud, account takeover, and fake account creation. It offers products such as payment protection, account defense, the Sift Score API, and expert services, targeting industries including software-as-a-service, e-commerce, marketplaces, i-gaming, food and delivery, travel and transportation, and fintech.
Named on the site: software-as-a-service, e-commerce, marketplaces, i-gaming, food and delivery, travel and transportation, fintech, software as a service.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 577 scored.
What Sift says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Solid Programming Foundations: Strong proficiency in Java or Scala (for our production backend) as well as Python (for data analysis and model prototyping).• System Optimization: Write high-performance code to minimize scoring latency at runtime, ensuring our core ML services scale seamlessly across distributed databases.• Distributed Systems & Big Data: Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.GCP, AWS, Spark, Kafka, Kubernetes, Docker, Databricks, Python• Distributed Systems & Big Data: Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.• Distributed Systems & Big Data: Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.GCP, AWS, Spark, Kafka, Kubernetes, Docker, Databricks, Python• System Design Mentality: Ability to reason through data consistency, pipeline failures, and performance constraints in a distributed, multi-tenant cloud environment (GCP).GCP, AWS, Spark, Kafka, Kubernetes, Docker, Databricks, Python• Working SQL and data analysis skills, or the ability to quickly get there, for pulling and interpreting account-specific data.• Experience with Tax Software (e.g., Avalara, Anrok).• Distributed Systems & Big Data: Practical experience with Databricks and big data processing frameworks like Apache Spark, Apache Flink, or Hadoop, and working with NoSQL data stores like Bigtable.• Experience with Tax Software (e.g., Avalara, Anrok).• Experience with Expense Software (e.g., Navan, Expensify, Brex).Vendors whose code loads on sift.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
5 open roles, 6 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 2 · 1 |
| Customer service & success | 1 · 1 |
| Finance & accounting | 1 · 1 |
| Sales | 1 · 1 |
| Software engineering | 0 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Sift to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Sift
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 577 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Sift (San Francisco, United States, 201-500 employees) has 5 open roles, 4 new in 30 days, and names 14 tools in its postings. (Breaknorm, 30 October 2026, https://breaknorm.co/company/sift.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from sift.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Ashby career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Sift: questions
Does Sift use Python?
Yes, by the company's own words: 4 postings name it, first seen 2026-08-01, in the data & ai team.
Is Sift hiring?
5 open roles as of 30 October 2026, 4 opened in the last 30 days and 2 closed. The largest team hiring is data & ai.
Where does this profile come from?
From sift.com itself: we crawled it on 2026-09-09, built the profile on 2026-09-12, and read its career site (Ashby) hourly since. Headcount is from LinkedIn.
Who should I write to at Sift?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 2 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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