Tech stack
Spark, Databricks, BigQuery, Snowflake
Requirements:
5+ years of experience PM, founder, or equivalent cross-functional product role (Mandatory)
Resume must show both big data product work and internal tooling experience with specific projects named (Mandatory)
At least 1 year at a Series B/C startup; current or most recent role must be at a startup, not big tech (Mandatory)
Prior engineering title required (SWE, data scientist, ML engineer, or highly technical data analyst) (Mandatory)
Data pipeline experience required: production-level work with data ingestion, cleaning/normalization, and modeling with specific tools cited (Mandatory)
Python and AWS familiarity required; big data tooling (Spark, Databricks, BigQuery, Snowflake, or Redshift) must be explicitly named on resume (Mandatory)
Domain experience in fintech, payments, fraud, or identity is a significant differentiator (Nice-to-have)
Located and authorized to work in the United States. (Mandatory)
Market-leading fraud prevention company - We're the go-to identity verification solution for major US banks, credit unions, and fintech unicorns, processing hundreds of millions of identities.
$85M raised from top-tier investors - Backed by Andreessen Horowitz, Craft Ventures, and NYCA Partners with strong financial runway.
Forbes Fintech 50 recognition - Named to the prestigious list every year since 2023, plus we made history as the first eCBSV provider.
Competitive compensation package - $180K-$230K base salary plus equity and comprehensive benefits including employer-paid health insurance for you and dependents.
Remote-first culture - Work from anywhere in the US with flexible PTO and regular company-wide in-person events.