S
SiftSenior Engineering Manager, ML Platform
remotemanager$240K – $340K
via Ashby
About this role
Location: San Francisco, California or Seattle, Washington Employment Type: Full time
Location Type: Hybrid Department: Engineering
ABOUT THE TEAM
The Machine Learning Platform 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 and a trillion-plus events a year. We give Sift's Data Science and ML Engineering teams the tooling to ship models fast, prove they work, and trust them in production.
WHAT WE'RE LOOKING FOR
We're hiring a Senior Engineering Manager to lead this team as a backfill for our outgoing lead.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, databricks, aws, gcp, kubernetes…
2
Level fit
This role is manager-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible — we factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythondatabricksawsgcpkubernetesdockersparkkafkaflinkclaudeteams
