Technical Product Manager, Data and Internal Products
| Verified Pay check_circle | Provided by the employer$180000 - $230000 per year |
|---|---|
| Hours | Full-time |
| Location | New York, New York |
About this job
Job Description
We are looking for a Data Product Manager with 5+ years of experience to lead internal initiatives within our Tech organization. This person will build and maintain our core internal technology, spanning critical datasets, internal services, and the underlying platforms that support our products and analytics.
What will you be doing?
Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on dataintensive systems.
Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets and shared services.
Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving needs.
Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases and clarify requirements.
Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value.
Key Requirements
5+ years of experience with data-heavy or platform-oriented products, with a focus on ML/Data Science strongly preferred.
Hands-on experience working with large datasets (e.g., Spark, Databricks, BigQuery, Snowflake).
Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling.
Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problems.
Experience driving large internal initiatives with multiple stakeholders and managing cross-functional dependencies.
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.
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