Scribd
Lead Analytics Engineer — Payments, Identity & Trust and Safety
San Francisco · Senior · Contract
Sponsorship not specifiedDetected 6 days ago
PythonSQLDatabricksAWSData AnalysisData EngineeringData ScienceData VisualizationLLMsAgentic AIIncident ResponseLeadershipCollaboration
Stay score
odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
8 transfer filings in the last year, covering 8 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- It is the senior-most analytics engineering role for these pillars and a purely technical leadership position with no direct reports.
- Give core business concepts one authoritative definition, and make sure the numbers survive a PSP migration, a schema change, or a new market launch without silently going wrong.
- For Trust & Safety, make it possible to say with confidence how much violating content exists on Scribd and how much of it users see with numbers that stay comparable as moderation models, policies, and review processes change.
Responsibilities
- This role supports the pillars that own payments, identity, security as well as trust & safety systems - the foundations that let Scribd securely monetize and protect its products.
- We encourage people of all backgrounds to apply, and believe that a diversity of perspectives and experiences create a foundation for the best ideas.
- Come join us in building something meaningful.
Requirements
- Our four products - Scribd®, Slideshare®, Everand™, and Fable - help billions of people across the globe move beyond access and into insight, application, and expertise.
- You are equally comfortable as the modeler and the analyst.
- You are skeptical by default.
- You have opinions about how payments data should be structured to prevent misleading narratives.
Nice to have
- Experience with trust and safety or integrity measurement
- Experience with local payment methods across LATAM, APAC, or EU markets, and with stored-credential and network compliance frameworks.
- Experience with on-call rotations and incident response for production data systems.
- San Francisco is our highest geographic market in the United States.
- We carefully consider a wide range of factors when determining compensation, including but not limited to experience
- job-related skill sets
- and other business and organizational needs.
- WORKING AT SCRIBD, INC.
Compensation
- At Scribd, Inc., your base pay is one part of your total compensation package and is determined within a range.
Benefits
- Comprehensive health, dental, and vision coverage
- Mental health support and disability coverage
- Generous paid time off, including vacation, sick time, holidays, winter break, volunteer time, and sabbaticals
- Paid parental leave and family support benefits
- Retirement matching and employee equity
- Learning and development programs and professional growth opportunities
- Wellness and home office stipends
- Scribd Flex (flexible work model)
Company info
- Data & Analytics is building the DNA of an AI native Scribd, Inc.
- Bringing together Analytics Engineering, Data Science, and Data Analytics, D&A turns fragmented data and inconsistent definitions into trusted, production-quality data foundations - and builds the AI agents and analytical tools that bring reliable intelligence directly into how teams make decisions.
- You will report to the Director, Analytics Engineering, and work embedded alongside Product Analytics, Data Science, Product, and Engineering partners.
- Core philosophy.
- A metric definition is an engineering artifact.
- We care about lineage, observability, and data quality as much as the dashboard on top - because a number that quietly breaks upstream is worse than no number at all.
This listing is sourced directly from Scribd's careers page and normalized into a canonical job model.