Sift
sift.com
Actively hiring
Cybersecurity AI
Fraud Detection
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Technologies
Salaries
Products
People
Growth
Offices
Jobs
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Overview
Sift is a fraud prevention company whose machine learning platform detects payment fraud, account takeover and content abuse in real time. It draws on a global network of transaction data, configurable workflows and analyst services to help online businesses approve good customers and block fraudulent orders. The company was founded in 2011 and is headquartered in San Francisco, California, United States.
News
Sift - Daily News Briefing App
Download Sift - Daily News Briefing by Roshan Roy on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Sift - Daily News…
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Sift: Local Hybrid Search Without the Infrastructure Tax Alex Kwiatkowski
sift is a daemonless, single-binary local search tool that runs a full BM25 + vector + reranking pipeline on demand - no indexing service, no cloud dependency, built for agents and developers who need fast, repeatable retrieval over real corpora.
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Sift: The Dumbphone Companion
My corner of the internet where I try my best to write something that might be somewhat useful for someone else
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Sift Maintains #1 Position Across All Fraud Prevention Categories in G2's Fall 2025 Reports
Sift secures top rankings for second consecutive quarter in Fraud Detection, E-Commerce Fraud Protection, and Risk-Based Authentication...
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Sift's Fall '25 Release: Advanced Fraud Investigation Tooling to Simplify Fraud Management & Strengthen Identity Trust
Pre-built workflows, enhanced policy abuse detection, and expanded visibility increase fraud team efficiency, cut operational workload, and protect...
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Sift Accelerates Industry Leadership with Product Innovations and Market Recognition in First Half of 2025
AI-powered fraud prevention leader delivers breakthrough Identity Trust XD framework, achieves #1 position in G2 rankings for second consecutive year, and...
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Sift Report: AI Scams Surge 62% Despite Lower Consumer Concern
Sift's 2025 Digital Trust Index reveals a 62% surge in AI-generated scam victims, with 70% of consumers noting scams are harder to detect.
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AI-Generated Scams Claim 62% More Victims Year-Over-Year Despite Declining Consumer Concern, New Sift Report Reveals
Digital Trust Index Exposes Dangerous Confidence Gap as 70% of Consumers Report That Scams Harder to Detect...
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Tech stack
Technologies named in job postings at Sift over the last 12 months, by layer, with the share of postings for each.
Technologies in use
54
Postings analysed
12
Stack modernity
91/100AI adopter
Languages
Python67%
Java33%
SQL25%
JavaScript8%
Frameworks & libraries
Flink17%
Cypress8%
Hadoop8%
Jest8%
Databases
Google Bigtable17%
Google BigQuery8%
Google Cloud Spanner8%
GraphDB8%
Cloud & platforms
GCP33%
Spark25%
Apache Kafka25%
Kubernetes25%
AI & ML
LLM33%
Claude17%
ChatGPT8%
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Full Sift tech stack
54 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$210k
Typical range
$125k – $390k
Open positions
6
4
Jobs
Junior
25%
Middle
25%
Senior
50%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $125k | $125k |
| Middle | 1 | $190k | $190k |
| Senior | 2 | $365k | $340k – $390k |
Highest paying role
Director/Sr. Director, Sales
$390k
Normalized to USD per year
All salaries at Sift
By role, level and city, against the market · 6 jobs with pay
Growth
Hiring Momentum
73/100
Growing
Open positions
7
2 opened / 1 closed in 30 days
Median time-to-fill
49 days
faster than 28% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
AI/ML
20% ▼
Solutions
20% ▲
Data Science
10% ▼
Backend
10% ▼
Product
10% ▼
Finance
10% ▲
Activity Timeline
Added Microsoft Excel to stack
Oct 2026
Added Rest API to stack
Sep 2026
Added SIEM to stack
Sep 2026
Added OWASP to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added Jira to stack
Sep 2026
Added GDPR to stack
Sep 2026
Added ChatGPT to stack
Sep 2026
Added Agentic Workflows to stack
Sep 2026
Added LinkedIn to stack
Sep 2026
Added Apache Kafka to stack
Sep 2026
Added LLM Guardrails to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
2
Hiring now
2
Countries
1
Busiest office
San Francisco
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Headquarters
Builds here
Office with open vacancies
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San Francisco
United States
HQ
5 open roles 6 posted in 90 days 40% engineering 40% remote 50-200 est. staff $255k Avg Salary
hires for AI/ML, Legal, Sales
77 Geary Street, FL 5, San Francisco, CA, 94108, US
Seattle
United States
Regional office
5 open roles 6 posted in 90 days 40% engineering 40% remote 50-200 est. staff $255k Avg Salary
hires for AI/ML, Legal, Sales
Jobs
$115k – $156k per year • Remote (United States) • Full-Time
Python
SQL
Machine Learning
Apply
$140k – $190k per year • Hybrid • Full-Time • 4+ years exp • San Francisco • Seattle
Python
Java
Scala
Databricks
Apache Kafka
Google Bigtable
AI/ML
Hadoop
Spark
Claude Code
XGBoost
Flink
Time Series Forecasting
Machine Learning
DevOps
GCP
CI/CD
Docker
Kubernetes
Apply
$240k – $340k per year • Hybrid • Full-Time • 8+ years exp • Bachelor's Degree • Seattle • San Francisco
Python
Databricks
Apache Kafka
AI/ML
Spark
Claude Code
AI Agents
Flink
Feature Store
Machine Learning
DevOps
GCP
AWS
Docker
Kubernetes
Apply
$170k – $230k per year • Hybrid • Full-Time • San Francisco • Seattle
Python
SQL
Prompt Engineering
LLM
Agentic Workflows
Machine Learning
Apply