Sift · Remote, US
· Posted 2026-10-28
· 3+ years
## About the Team Our Customer Success team partners with leading global businesses to drive adoption of Sift's Digital Trust & Safety solutions. We are subject matter experts on Sift's products and our customers' needs, cultivating trusted relationships that turn product usage into measurable business outcomes. Intern
LLM
Sift · Remote, US
· Posted 2026-10-01
· 4-6 years
## About the Team Our Finance team keeps Sift's financial operations accurate, controlled, and ready to scale as the business grows. We own the month-end close, financial reporting, and the systems and processes behind them, and we partner closely with FP&A, Revenue, and business teams across the company to make sure t
LLMExcel
Sift · Remote, US
· Posted 2026-09-25
About the role The TAM is Sift's technical product expertise pushed out to the edge, embedded with the customer rather than sitting back in engineering. You're the person who knows the product deeply enough to catch what's about to go wrong in someone's actual environment. We serve as the named, persistent technical pa
PythonSQL
Sift · Remote, US; Seattle, WA, US; San Francisco, CA, US
· Posted 2026-08-26
· 10+ years
# Director/Sr. Director, Sales ## About the Team As a Director or Sr. Director of Sales at Sift, you are the strategic catalyst driving our revenue growth across top-tier enterprise accounts. You lead and inspire a high-performing sales team, instilling operational rigor while navigating complex enterprise deals and ex
DirectorSrSalesenterpriseexecutivesiftcomplexcoaching
Sift · Remote, US; Seattle, WA, US; San Francisco, CA, US
· Posted 2026-08-26
· 8+ years
Location: San Francisco, California or Seattle, Washington Employment Type: Full time, Hybrid ## About the Team The Machine Learning team — internally known as "Potato Radius" — builds the training pipelines, feature infrastructure, and evaluation systems behind every score Sift returns, across more than 700 customers
EngineeringPlatformdatatechnicalsiftmachinelearningfeature
Sift · San Francisco, CA, US; Seattle, WA, US
· Posted 2026-07-20
· 4+ years
### The Role: As a Machine Learning Engineer at Sift, you will bridge the gap between data science and large-scale distributed systems. You won’t just train models in isolation; you will build end-to-end pipelines that extract signals, train custom models per merchant, and serve predictions at production scale with low
PythonJavaScalaNoSQLSparkHadoopDatabricksCI/CD